South San Francisco City Council
May 11, 2022

IS/MND
Appendices

AIR QUALITY AND GREENHOUSE GAS ASSESSMENT

ATTACHMENT A
to the
580 Dubuque Avenue Project Initial Study / Mitigated Negative Declaration

580 DUBUQUE AVENUE

AIR QUALITY & GREENHOUSE

GAS ASSESSMENT
South San Francisco, California
November 19, 2021
Prepared for:

Rebecca Auld
Senior Planner
Lamphier-Gregory
1944 Embarcadero
Oakland, CA 94606
Prepared by:

Zachary Palm
Casey Divine &
James Reyff
429 East Cotati Avenue
Cotati, CA 94931
(707) 794-0400
I&R Project#: 21-029
1 Introduction
The purpose of this report is to address air quality, community health risk, and greenhouse gas (GHG) impacts associated with the proposed lab/office building construction located at 580 Dubuque Avenue in South San Francisco, California. The air quality impacts and GHG emissions from this project would be associated with construction of the new buildings, trips generated by the operation of the project, and operation of an emergency generator. Air pollutant and GHG emissions associated with construction and operation of the project were predicted using appropriate computer models. In addition, the potential project health risk impacts (including construction and operation) and the impact of existing toxic air contaminant (TAC) sources affecting the nearby and proposed sensitive receptors were evaluated. The analysis was conducted following guidance provided by the Bay Area Air Quality Management District (BAAQMD).1 BAAQMD recommends using a 1,000-foot screening radius around the project site for purposes of identifying community health risk from existing sources of TACs.

Project Description
The approximately 1.89-acre project site is currently undeveloped. The project proposes to construct a 295,000 square-foot lab/office building along with a 350 space, below grade parking garage and a 0.5-acre public park. Construction is assumed in this assessment to begin in February 2022 and be completed by May 2024.

Setting
The project is located in San Mateo County, which is in the San Francisco Bay Area Air Basin.

Ambient air quality standards have been established at both the State and federal level. The Bay Area meets all ambient air quality standards with the exception of ground-level ozone, respirable particulate matter (PM10), and fine particulate matter (PM2.5).

Air Pollutants of Concern
High ozone levels are caused by the cumulative emissions of reactive organic gases (ROG) and nitrogen oxides (NOX). These precursor pollutants react under certain meteorological conditions to form high ozone levels. Controlling the emissions of these precursor pollutants is the focus of the Bay Area’s attempts to reduce ozone levels. The highest ozone levels in the Bay Area occur in the eastern and southern inland valleys that are downwind of air pollutant sources. High ozone levels aggravate respiratory and cardiovascular diseases, reduced lung function, and increase coughing and chest discomfort.

Particulate matter is another problematic air pollutant of the Bay Area. Particulate matter is assessed and measured in terms of respirable particulate matter or particles that have a diameter of 10 micrometers or less (PM10) and fine particulate matter where particles have a diameter of 2.5 micrometers or less (PM2.5). Elevated concentrations of PM10 and PM2.5 are the result of both region-wide (or cumulative) emissions and localized emissions. High particulate matter levels 1 Bay Area Air Quality Management District, CEQA Air Quality Guidelines, May 2017. 2 aggravate respiratory and cardiovascular diseases, reduce lung function, increase mortality (e.g., lung cancer), and result in reduced lung function growth in children.

Toxic Air Contaminants
TACs are a broad class of compounds known to cause morbidity or mortality (usually because they cause cancer) and include, but are not limited to, the criteria air pollutants. TACs are found in ambient air, especially in urban areas, and are caused by industry, agriculture, fuel combustion, and commercial operations (e.g., dry cleaners). TACs are typically found in low concentrations, even near their source (e.g., diesel particulate matter [DPM] near a freeway). Because chronic exposure can result in adverse health effects, TACs are regulated at the regional, State, and federal level.

Diesel exhaust is the predominant TAC in urban air and is estimated to represent about threequarters of the cancer risk from TACs (based on the Bay Area average). According to the California Air Resources Board (CARB), diesel exhaust is a complex mixture of gases, vapors, and fine particles. This complexity makes the evaluation of health effects of diesel exhaust a complex scientific issue. Some of the chemicals in diesel exhaust, such as benzene and formaldehyde, have been previously identified as TACs by the CARB, and are listed as carcinogens either under the State's Proposition 65 or under the Federal Hazardous Air Pollutants programs. The most recent Office of Environmental Health Hazard Assessment (OEHHA) risk assessment guidelines were published in February of 2015.2 See Attachment 1 for a detailed
description of the community risk modeling methodology used in this assessment.

Sensitive Receptors
There are groups of people more affected by air pollution than others. CARB has identified the following persons who are most likely to be affected by air pollution: children under 16, the elderly over 65, athletes, and people with cardiovascular and chronic respiratory diseases. These groups are classified as sensitive receptors. Locations that may contain a high concentration of these sensitive population groups include residential areas, hospitals, daycare facilities, elder care facilities, and elementary schools. For cancer risk assessments, children are the most sensitive receptors, since they are more susceptible to cancer causing TACs. Residential locations are assumed to include infants and small children. The closest sensitive receptors to the project site are in the multi-family residences to the northwest opposite U.S. Highway 101. Additional sensitive receptors can be found at further distances to the west and southwest of the project site.

This project would not introduce new sensitive receptors (i.e., residents) to the area.

2 OEHHA, 2015. Air Toxics Hot Spots Program Risk Assessment Guidelines, The Air Toxics Hot Spots Program Guidance Manual for Preparation of Health Risk Assessments. Office of Environmental Health Hazard Assessment.

February.
3 Regulatory Setting
Federal Regulations
The United States Environmental Protection Agency (EPA) sets nationwide emission standards for mobile sources, which include on-road (highway) motor vehicles such trucks, buses, and automobiles, and non-road (off-road) vehicles and equipment used in construction, agricultural, industrial, and mining activities (such as bulldozers and loaders). The EPA also sets nationwide fuel standards. California also has the ability to set motor vehicle emission standards and standards for fuel used in California, as long as they are the same or more stringent than the Federal standards.

In the past decade the EPA has established a number of emission standards for on- and non-road heavy-duty diesel engines used in trucks and other equipment. This was done in part because diesel engines are a significant source of nitrogen oxides, or NOX, and particulate matter (PM10 and PM2.5) and because the EPA has identified diesel particulate matter as a probable carcinogen.

Implementation of the heavy-duty diesel on-road vehicle standards and the non-road diesel engine standards are estimated to reduce PM and NOX emissions from diesel engines up to 95 percent in 2030 when the heavy-duty vehicle fleet is completely replaced with newer heavy-duty vehicles that comply with these emission standards.3
In concert with the diesel engine emission standards, the EPA has also substantially reduced the amount of sulfur allowed in diesel fuels. The sulfur contained in diesel fuel is a significant contributor to the formation of particulate matter in diesel-fueled engine exhaust. The new standards reduced the amount of sulfur allowed by 97 percent for highway diesel fuel (from 500 parts per million by weight [ppmw] to 15 ppmw), and by 99 percent for off-highway diesel fuel (from about 3,000 ppmw to 15 ppmw). The low sulfur highway fuel (15 ppmw sulfur), also called ultra-low sulfur diesel (ULSD), is currently required for use by all vehicles in the U.S.

All of the above federal diesel engine and diesel fuel requirements have been adopted by California, in some cases with modifications making the requirements more stringent or the implementation dates sooner.

State Regulations
To address the issue of diesel emissions in the state, CARB developed the Risk Reduction Plan to Reduce Particulate Matter Emissions from Diesel-Fueled Engines and Vehicles.4 In addition to
requiring more stringent emission standards for new on-road and off-road mobile sources and stationary diesel-fueled engines to reduce particulate matter emissions by 90 percent, a significant component of the plan involves application of emission control strategies to existing diesel vehicles and equipment. Many of the measures of the Diesel Risk Reduction Plan have been 3 USEPA, 2000. Regulatory Announcement, Heavy-Duty Engine and Vehicle Standards and Highway Diesel Fuel Sulfur Control Requirements. EPA420-F-00-057. December. 4 California Air Resources Board, 2000. Risk Reduction Plan to Reduce Particulate Matter Emissions from DieselFueled Engines and Vehicles. October. 4 approved and adopted, including the federal on-road and non-road diesel engine emission standards for new engines, as well as adoption of regulations for low sulfur fuel in California.

CARB has adopted and implemented a number of regulations for stationary and mobile sources to reduce emissions of DPM. Several of these regulatory programs affect medium and heavy-duty diesel trucks that represent the bulk of DPM emissions from California highways. CARB regulations require on-road diesel trucks to be retrofitted with particulate matter controls or replaced to meet 2010 or later engine standards that have much lower DPM and PM2.5 emissions.

This regulation will substantially reduce these emissions between 2013 and 2023. While new trucks and buses will meet strict federal standards, this measure is intended to accelerate the rate at which the fleet either turns over so there are more cleaner vehicles on the road, or i s retrofitted to meet similar standards. With this regulation, older, more polluting trucks would be removed from the roads sooner.

CARB has also adopted and implemented regulations to reduce DPM and NOX emissions from inuse (existing) and new off-road heavy-duty diesel vehicles (e.g., loaders, tractors, bulldozers, backhoes, off-highway trucks, etc.). The regulations apply to diesel-powered off-road vehicles with engines 25 horsepower (hp) or greater. The regulations are intended to reduce particulate matter and NOX exhaust emissions by requiring owners to turn over their fleet (replace older equipment with newer equipment) or retrofit existing equipment in order to achieve specified fleetaveraged emission rates. Implementation of this regulation, in conjunction with stringent federal off-road equipment engine emission limits for new vehicles, will significantly reduce emissions of DPM and NOX.

Bay Area Air Quality Management District (BAAQMD)
BAAQMD has jurisdiction over an approximately 5,600-square mile area, commonly referred to as the San Francisco Bay Area (Bay Area). The District’s boundary encompasses the nine San Francisco Bay Area counties, including Alameda County, Contra Costa County, Marin County, San Francisco County, San Mateo County, Santa Clara County, Napa County, southwestern Solano County, and southern Sonoma County.

BAAQMD is the lead agency in developing plans to address attainment and maintenance of the National Ambient Air Quality Standards and California Ambient Air Quality Standards. The District also has permit authority over most types of stationary equipment utilized for the proposed project. The BAAQMD is responsible for permitting and inspection of stationary sources; enforcement of regulations, including setting fees, levying fines, and enforcement actions; and ensuring that public nuisances are minimized.

BAAQMD’s Community Air Risk Evaluation (CARE) program was initiated in 2004 to evaluate and reduce health risks associated with exposures to outdoor TACs in the Bay Area.5 The program
examines TAC emissions from point sources, area sources, and on-road and off-road mobile sources with an emphasis on diesel exhaust, which is a major contributor to airborne health risk in California. The CARE program is an on-going program that encourages community involvement 5 See BAAQMD: https://www.baaqmd.gov/community-health/community-health-protection-program/communityair-risk-evaluation-care-program , accessed 2/18/2021. 5 and input. The technical analysis portion of the CARE program is being implemented in three phases that includes an assessment of the sources of TAC emissions, modeling and measurement programs to estimate concentrations of TAC, and an assessment of exposures and health risks.

Throughout the program, information derived from the technical analyses will be used to focus emission reduction measures in areas with high TAC exposures and high density of sensitive populations. Risk reduction activities associated with the CARE program are focused on the most at-risk communities in the Bay Area. The BAAQMD defines overburdened communities are areas located (i) within a census tract identified by the California Communities Environmental Health Screening Tool (CalEnviroScreen), Version 4.0 implemented by OEHHA, as having an overall CalEnviroScreen score at or above the 70th percentile, or (ii) within 1,000 feet of any such census tract.6 The project site and it’s environs are not within a CARE area but are within a BAAQMD overburdened area as identified by CalEnviroScreen (version 4.0), where the overall score is at the 75th to 85th percentile within 1,000 feet of the project site.

The BAAQMD California Environmental Quality Act (CEQA) Air Quality Guidelines7 were prepared to assist in the evaluation of air quality impacts of projects and plans proposed within the Bay Area. The guidelines provide recommended procedures for evaluating potential air impacts during the environmental review process consistent with CEQA requirements including thresholds of significance, mitigation measures, and background air quality information. They also include assessment methodologies for air toxics, odors, and greenhouse gas emissions. Attachment 1 includes detailed community risk modeling methodology.

BAAQMD Rules and Regulations
Combustion equipment associated with the proposed project that includes new diesel engines to power generators and possibly new natural gas-fired boilers would establish new sources of particulate matter and gaseous emissions. Emissions would primarily result from the testing of the emergency backup generators, operation of the boilers for space and water heating and some minor emissions from cooling towers. Certain emission sources would be subject to BAAQMD Regulations and Rules. The District’s rules and regulations that may apply to the project include:
 Regulation 2 – Permits
Rule 2-1: General Requirements
Rule 2-2: New Source Review
 Regulation 6 – Particulate Matter and Visible Emissions Rule 6-3: Wood-Burning Devices
 Regulation 9 – Inorganic Gaseous Pollutants
Rule 9-1: Sulfur Dioxide
Rule 9-7: Nitrogen Oxides and Carbon Monoxide from Industrial, Institutional, and Commercial Boilers, Steam Generators, And Process Heaters Rule 9-8: Nitrogen Oxides and Carbon Monoxide from Stationary Internal Combustion Engines
6 See BAAQMD: https://www.baaqmd.gov/~/media/dotgov/files/rules/reg-2-permits/2021- amendments/documents/20210722_01_appendixd_mapsofoverburdenedcommunities-pdf.pdf?la=en , accessed 10/1/2021.
7 Bay Area Air Quality Management District, 2017. CEQA Air Quality Guidelines. May. 6 Permits
Rule 2-1-301 requires that any person installing, modifying, or replacing any equipment, the use of which may reduce or control the emission of air contaminants, shall first obtain an Authority to Construct (ATC).

Rule 2-1-302 requires that written authorization from the BAAQMD in the form of a Permit to Operate (PTO) be secured before any such equipment is used or operated.

Rule 2-1 lists sources that are exempt from permitting. At the proposed facility, the diesel fuel storage tanks are expected to be exempt from permitting.

New Source Review
Rule 2-2, New Source Review (NSR), applies to all new and modified sources or facilities that are subject to the requirements of Rule 2-1-301. The purpose of the rule is to provide for review of such sources and to provide mechanisms by which no net increase in emissions will result.

Rule 2-2-301 requires that an applicant for an ATC or PTO apply Best Available Control Technology (BACT) to any new or modified source that results in an increase in emissions and has emissions of precursor organic compounds, non-precursor organic compounds, NOx, SO2, PM10, or CO of 10.0 pounds or more per highest day. Based on the estimated emissions from the proposed project, BACT will be required for NOx emissions from the diesel-fueled generator engines.

Stationary Diesel Airborne Toxic Control Measure
The BAAQMD administers the CARB’s Airborne Toxic Control Measure (ACTM) for Stationary Diesel engines (section 93115, title 17 CA Code of Regulations). The project’s stationary sources will be new stationary emergency stationary emergency standby diesel engines larger than 50 hp.

These limits vary based on maximum engine power. All engines are limited to PM emission rates of 0.15 g/hp-hour, regardless of size. This ACTM limits engine operation 50 hours per year for routine testing and maintenance.

Offsets
Rule 2-2-302 require that offsets be provided for a new or modified source that emits more than 10 tons per year of NOx or precursor organic compounds. It is not expected that emissions of any pollutant will exceed the offset thresholds. Thus, is not expected that offsets for the proposed project would be required.

Prohibitory Rules
Regulation 6 pertains to particulate matter and visible emissions. Although the engines will be fueled with diesel, they will be modern, low emission engines. Thus, the engines are expected to comply with Regulation 6.
7 Rule 6-3 applies to emissions from wood-burning devices. Effective November 1, 2016, no person or builder shall install a wood-burning device in a new building construction. Project plans do not depict fireplaces.

Rule 9-1 applies to sulfur dioxide. The engines will use ultra-low sulfur diesel fuel (less than 15 ppm sulfur) and will not be a significant source of sulfur dioxide emissions and are expected to comply with the requirements of Rule 9-1.

Rule 9-7 limits the emissions of NOx CO from industrial, institutional and commercial boilers, steam generators and process heaters. This regulation typically applies to boilers with a heat rating of 2 million British Thermal Units (BTU) per hour
Rule 9-8 prescribes NOx and CO emission limits for stationary internal combustion engines. Since the proposed engines will be used with emergency standby generators, Regulation 9-8-110 exempts the engines from the requirements of this Rule, except for the recordkeeping requirements (9-8-530) and limitations on hours of operation for reliability-related operation (maintenance and testing). The engines will not operate more than 50 hours per year, which will satisfy the requirements of 9-8-111.

BACT for Diesel Generator Engines
Since the generators will be used exclusively for emergency use during involuntary loss of power, the BACT levels listed for IC compression engines in the BAAQMD BACT Guidelines would apply. These are provided for two separate size ranges of diesel engines:

I.C. Engine – Compression Ignition >50hp and <1.000hp: BAAQMD applies BACT 2 emission limits based on the ATCM for stationary emergency standby diesel engines larger than 50 brake-horsepower (BHP). NOx emission factor limit is subject to the CARB ACTM that ranges from 3.0 to 3.5 grams per horsepower hour (g/hp-hr). The PM (PM10 or PM2.5) limit is 0.15 g/hp-hr per CARB’s ACTM.

I.C. Engine – Compression Ignition <999hp: BAAQMD applies specific BACT emission limits for stationary emergency standby diesel engines equal or larger than 1,000 brakehorsepower (BHP). NOx emission factor limit is subject to the CARB ACTM that ranges from 0.5 g/hp-hr. The PM (PM10 or PM2.5) limit is 0.02 g/hp-hr. POC (i.e., ROG) limits are 0.14 g/hp-hr.

South San Francisco General Plan 1999
The South San Francisco General Plan 1999 includes guiding and implementing policies to reduce exposure of the City’s sensitive population to exposure of air pollution, toxic air contaminants, and greenhouse gases. While the city is in the process of updating its general plan, the version passed in 1999 is still the most recent version. The following guiding and implementing policies are applicable to the proposed project:

8 GUIDING POLICIES: AIR QUALITY AND GREENHOUSE GAS EMISSIONS

7.3-G-1 Continue to work toward improving air quality and meeting all national and State ambient air quality standards and by reducing the generation of air pollutants both from stationary and mobile sources, where feasible.

7.3-G-2 Mitigate the community of South San Francisco’s impact on climate change by reducing greenhouse gas emissions consistent with state guidance.

7.3-G-3 Reduce energy use in the built environment.

7.3-G-4 Encourage land use and transportation strategies that promote use of alternatives to the automobile for transportation, including bicycling, bus transit, and carpooling.

7.3-G-5 Promote clean and alternative fuel combustion in mobile equipment and vehicles.

7.3-G-6 Minimize conflicts between sensitive receptors and emissions generators by distancing them from one another.

IMPLEMENTING POLICIES: AIR QUALITY AND GREENHOUSE GAS EMISSIONS

7.3-1-1 Cooperate with the Bay Area Air Quality Management District to achieve emissions reductions for nonattainment pollutants and their precursors, including carbon monoxide, ozone, and PM-10, by implementation of air pollution control measures as required by State and federal statutes.

7.3-1-2 Use the City’s development review process and the California Environmental Quality Act (CEQA) regulations to evaluate and mitigate the local and cumulative effects of new development on air quality and GHG emissions.

7.3-1-3 Adopt the standard construction dust abatement measures included in BAAQMD’s CEQA Guidelines.

7.3-1-4 Require new residential development and remodeled existing homes to install clean-burning fireplaces and wood stoves.

7.3-1-5 In cooperation with local conservation groups, institute an active urban forest management program that consists of planting new trees and maintaining existing ones.

7.3-1-6 Periodically update the inventory of community-wide GHG emissions and evaluate appropriate GHG emissions reduction targets, consistent with current State objectives, statewide guidance, and regulations.
9 7.3-1-7 Adopt and implement the City of South San Francisco’s CAP, which will identify a GHG emissions reduction target and measures and actions to achieve the reduction target.

7.3-1-8 Evaluate and regularly report to City Council, or its designee, on the implementation status of the CAP and update the CAP as necessary should the City find that adopted strategies are not achieving anticipated reductions, or to otherwise incorporate new opportunities.

7.3-1-9 Promote land uses that facilitate alternative transit use, including high-density housing, mixed uses, and affordable housing served by alternative transit infrastructure.

Significance Thresholds
In June 2010, BAAQMD adopted thresholds of significance to assist in the review of projects under CEQA and these significance thresholds were contained in the District’s 2011 CEQA Air Quality Guidelines. These thresholds were designed to establish the level at which BAAQMD believed air pollution emissions would cause significant environmental impacts under CEQA. The thresholds were challenged through a series of court challenges and were mostly upheld.

BAAQMD updated the CEQA Air Quality Guidelines in 2017 to include the latest significance thresholds that were used in this analysis are summarized in Table 1. Community risks are considered significant if they exceed these levels.

10 Table 1. BAAQMD CEQA Significance Thresholds
Criteria Air Pollutant
Construction Thresholds Operational Thresholds
Average Daily Emissions
(lbs./day)
Average Daily
Emissions (lbs./day)
Annual Average
Emissions (tons/year)
ROG 54 54 10
NOx 54 54 10
PM10 82 (Exhaust) 82 15
PM2.5 54 (Exhaust) 54 10
CO Not Applicable 9.0 ppm (8-hour average) or 20.0 ppm (1-hour average)
Fugitive Dust
Construction Dust Ordinance
or other Best Management
Practices
None
Health Risks and
Hazards
Single Sources Within
1,000-foot Zone of
Influence
Combined Sources (Cumulative from all
sources within 1000-foot zone of influence)
Excess Cancer Risk 10 per one million 100 per one million Hazard Index 1.0 10.0
Incremental annual PM2.5 0.3 µg/m3 0.8 µg/m3
Greenhouse Gas Emissions
Land Use Projects –
direct and indirect
emissions
Compliance with a Qualified GHG Reduction Strategy
OR
1,100 metric tons annually or 4.6 metric tons per capita (for 2020) * Note: ROG = reactive organic gases, NOx = nitrogen oxides, PM10 = course particulate matter or particulates with an aerodynamic diameter of 10 micrometers (µm) or less, PM2.5 = fine particulate matter or particulates with an aerodynamic diameter of 2.5µm or less. GHG = greenhouse gases. *BAAQMD does not have a recommended post-2020 GHG threshold. 11 AIR QUALITY IMPACTS AND MITIGATION MEASURES
Impact AIR-1: Result in a cumulatively considerable net increase of any criteria pollutant for which the project region is non-attainment under an applicable federal or state ambient air quality standard? The Bay Area is considered a non-attainment area for ground-level O3 and PM2.5 under both the Federal Clean Air Act and the California Clean Air Act. The area is also considered non-attainment for PM10 under the California Clean Air Act, but not the federal act. The area has attained both State and Federal ambient air quality standards for carbon monoxide. As part of an effort to attain and maintain ambient air quality standards for O3, PM2.5 and PM10, the BAAQMD has established thresholds of significance for these air pollutants and their precursors. These thresholds are for O3 precursor pollutants (ROG and NOx), PM10, and PM2.5 and apply to both construction period and operational period impacts.

Construction Period Emissions
The California Emissions Estimator Model (CalEEMod) Version 2020.4.0 was used to estimate emissions from on-site construction activity, construction vehicle trips, and evaporative emissions.

The project land use types and size, and anticipated construction schedule were input to CalEEMod. The CARB EMission FACtors 2021 (EMFAC2021) model was used to predict emissions from construction traffic, which includes worker travel, vendor trucks, and haul trucks.8 The CalEEMod model output along with construction inputs are included in Attachment 2 and EMFAC2021 vehicle emissions modeling outputs are included in Attachment 3.

CalEEMod Modeling
Land Use Inputs
The proposed project land uses were entered into CalEEMod as described in Table 2.

Table 2. Summary of Project Land Use Inputs
Project Land Uses Size Units Square
Feet (sf) Acreage
Research & Development 295 1,000 sqft 295,000

1.89 Enclosed Parking with Elevator 350 Parking Space 156,399 Other Asphalt Surfaces 0.5 Acre 21,780
City Park 0.5 Acre 21,780
Construction Inputs
CalEEMod computes annual emissions for construction that are based on the project type, size, and acreage. The model provides emission estimates for both on-site and off-site construction activities. On-site activities are primarily made up of construction equipment emissions, while off8 See CARB’s EMFAC2021 Emissions Inventory at https://arb.ca.gov/emfac/emissions-inventory. 12 site activity includes worker, hauling, and vendor traffic. The construction build-out scenario, including equipment list and schedule, were provided by the applicant. The applicant also provided other information such as hauling quantities, asphalt trips, and concrete trips.

The CalEEMod construction information included the schedule for each phase. Within each phase, the quantity of equipment to be used along with the average hours per day and total number of workdays was set to the CalEEMod default for each phase. The construction schedule assumed that the earliest possible start date would be February 2022 and would be built out over a period of approximately 28 months, or 582 construction workdays. The earliest year of full operation was assumed to be 2025.

Construction Truck Traffic Emissions
Construction would produce traffic in the form of worker trips and truck traffic. The traffic-related emissions are based on worker and vendor trip estimates produced by CalEEMod and haul trips that were computed based on the estimate of demolition material to be exported, soil material imported and/or exported to the site, and the estimate of cement and asphalt truck trips. Demolition was modeled to remove 112 tons of pavement. The modeling assumed 134,016 cy of soil hauling of material for import and export. There would be import of 200 cy of asphalt. CalEEMod provides daily estimates of worker and vendor trips for each applicable phase. The total trips for those were computed by multiplying the daily trip rate by the number of days in that phase. Haul trips for demolition and grading were estimated from the provided demolition and grading volumes by assuming each truck could carry 10 tons per load. The number of cement deliveries were provided for the project and converted to total one-way trips, assuming two trips per delivery. Asphalt trucks were assumed to carry 10 cy per delivered load, or 40 truckloads.

The latest version of the CalEEMod model is based on the older version of the CARB EMFAC2017 motor vehicle emission factor model. This model has been superseded by the EMFAC2021 model; however, CalEEMod has not been updated to include EMFAC2021.

Therefore, the construction traffic information was combined with EMFAC2021 motor vehicle emissions factors. EMFAC2021 provides aggregate emission rates in grams per mile for each vehicle type. The vehicle mix for this study was based on CalEEMod default assumptions, where worker trips are assumed to be comprised of light-duty autos (EMFAC category LDA) and light duty trucks (EMFAC category LDT1and LDT2). Vendor trips are comprised of delivery and large trucks (EMFAC category MHDT and HHDT) and haul trips, including cement trucks, are comprised of large trucks (EMFAC category HHDT). Travel distances are based on CalEEMod default lengths, which are 10.8 miles for worker travel, 7.3 miles for vendor trips and 20 miles for hauling (soil import/export). Each trip was assumed to include an idle time of 5 minutes. Emissions associated with vehicle starts were also included. On road emissions in San Mateo County for 2022 - 2024 were used in these calculations. Table 3 provides the traffic inputs that were combined with the EMFAC2021 emission database to compute vehicle emissions.

13 Table 3. Construction Traffic Data Used for EMFAC2021 Model Runs CalEEMod Run/Land
Uses and Construction
Phase
Trips by Trip Type
Notes
Total
Worker1
Total
Vendor1
Total
Haul2
Vehicle mix1
50% LDA
25% LDT1
25% LDT2
50% MHDT
50% HHDT 100% HHDT
Trip Length (miles) 10.8 7.3 20.0 CalEEMod default distance with 5-min truck idle time.

Demolition 40 - 11
112 ton pavement
demolition. CalEEMod
default worker trips.

Site Preparation 40 - - CalEEMod default worker
trips.

Soldier
Piles/Micropiles 4,300 1,950 - CalEEMod default worker
and vendor trips.

Dewatering 17,612 - - CalEEMod default worker
trips.

Trenching/Foundation 700 - - CalEEMod default worker
trips.

Soil Remediation 240 - 9,502
76,016-cy soil export.

CalEEMod default worker
trips.

Grading 720 - 7,250
58,000-cy soil export.

CalEEMod default worker
trips.

Building Construction 24,080 10,920 - CalEEMod default worker and vendor trips.

Building Interior 4,624 - - CalEEMod default worker
trips
Paving/Landscaping 585 - 40 200-cy asphalt. CalEEMod
default worker trips.

Notes: 1 Based on 2022 - 2024 EMFAC2021 light-duty vehicle fleet mix for San Mateo County. 2 Includes demolition and grading trips estimated by CalEEMod based on amount of material to be removed.

Asphalt trips estimated based on data provided by the applicant.

Summary of Computed Construction Period Emissions
Average daily emissions were annualized for each year of construction by dividing the annual construction emissions by the number of active construction workdays that year. Table 4 shows the annualized average daily construction emissions of ROG, NOX, PM10 exhaust, and PM2.5 exhaust during construction of the project. As indicated in Table 4, predicted annualized project construction emissions would not exceed the BAAQMD significance thresholds during any year of construction.
14 Table 4. Construction Period Emissions
Year ROG NOx PM10
Exhaust
PM2.5
Exhaust
Construction Emissions Per Year (Tons)
2022 1.06 2.90 0.14 0.12
2023 2.18 1.92 0.10 0.07
2024 0.42 0.32 0.02 0.01
Average Daily Construction Emissions Per Year (pounds/day) 2022 (233 construction workdays) 9.13 24.91 1.23 1.03
2023 (261 construction workdays) 16.67 14.72 0.73 0.57
2024 (89 construction workdays) 9.41 7.28 0.38 0.21
BAAQMD Thresholds (pounds per day) 54 lbs./day 54 lbs./day 82 lbs./day 54 lbs./day Exceed Threshold? No No No No
Construction activities, particularly during site preparation and grading, would temporarily generate fugitive dust in the form of PM10 and PM2.5. Sources of fugitive dust would include disturbed soils at the construction site and trucks carrying uncovered loads of soils. Unless properly controlled, vehicles leaving the site would deposit mud on local streets, which could be an additional source of airborne dust after it dries. The BAAQMD CEQA Air Quality Guidelines consider these impacts to be less-than-significant if best management practices are implemented to reduce these emissions. Mitigation Measure AQ-1 would implement BAAQMD-recommended best management practices.

Mitigation Measure AQ-1: Include measures to control dust and exhaust during construction.

During any construction period ground disturbance, the applicant shall ensure that the project contractor implement measures to control dust and exhaust. Implementation of the measures recommended by BAAQMD and listed below would reduce the air quality impacts associated with grading and new construction to a less-than-significant level. Additional measures are identified to reduce construction equipment exhaust emissions. The contractor shall implement the following best management practices that are required of all projects:

1. All exposed surfaces (e.g., parking areas, staging areas, soil piles, graded areas, and unpaved access roads) shall be watered two times per day.

2. All haul trucks transporting soil, sand, or other loose material off-site shall be covered.

3. All visible mud or dirt track-out onto adjacent public roads shall be removed using wet power vacuum street sweepers at least once per day. The use of dry power sweeping is prohibited.

4. All vehicle speeds on unpaved roads shall be limited to 15 miles per hour (mph).

5. All roadways, driveways, and sidewalks to be paved shall be completed as soon as possible.

Building pads shall be laid as soon as possible after grading unless seeding or soil binders are used.
15 6. Idling times shall be minimized either by shutting equipment off when not in use or reducing the maximum idling time to 5 minutes (as required by the California airborne toxics control measure Title 13, Section 2485 of California Code of Regulations [CCR]).

Clear signage shall be provided for construction workers at all access points.

7. All construction equipment shall be maintained and properly tuned in accordance with manufacturer’s specifications. All equipment shall be checked by a certified mechanic and determined to be running in proper condition prior to operation.

8. Post a publicly visible sign with the telephone number and person to contact at the Lead Agency regarding dust complaints. This person shall respond and take corrective action within 48 hours. The Air District’s phone number shall also be visible to ensure compliance with applicable regulations.

Effectiveness of Recommended Measure AQ-1
The measures above are consistent with BAAQMD-recommended basic control measures for reducing fugitive particulate matter that are contained in the BAAQMD CEQA Air Quality Guidelines.

Operational Period Emissions
Operational air emissions from the project would be generated primarily from autos driven by future employees and operation of the emergency generator. Evaporative emissions from architectural coatings and maintenance products (classified as consumer products) are typical emissions from these types of uses. CalEEMod was used to estimate emissions from operation of the proposed project assuming full build-out.

CalEEMod Inputs
Land Uses
The project land uses were input to CalEEMod as described above for the construction period modeling.

Model Year
Emissions associated with vehicle travel depend on the year of analysis because emission control technology requirements are phased-in over time. Therefore, the earlier the year analyzed in the model, the higher the emission rates utilized by CalEEMod. The earliest year of full operation would be 2025 if construction begins in 2022. Emissions associated with build-out later than 2025 would be lower.

Traffic Information
CalEEMod allows the user to enter specific vehicle trip generation rates. Project-specific traffic 16 trip generation estimates were provided for this assessment.9 The project would produce approximately 2,159 net daily trips when considering the TDM Plan Reduction adjustments applied in the traffic analysis. The daily trip generation was calculated using the size of the project and the adjusted total automobile trips. The Saturday and Sunday trip rates were adjusted by multiplying the ratio of the CalEEMod default rates for Saturday and Sunday trips to the default weekday rate with the project-specific daily weekday trip rate. The default trip lengths and trip types specified by CalEEMod were used.

EMFAC2021 Adjustment
The vehicle emission factors and fleet mix used in CalEEMod are based on EMFAC2017, which is an older CARB emission inventory for on road and off road mobile sources. Since the release of CalEEMod Version 2020.4.0, new emission factors have been produced by CARB.

EMFAC2021 became available for use in January 2021. It includes the latest data on California’s car and truck fleets and travel activity. The CalEEMod vehicle emission factors and fleet mix were updated with the emission rates and fleet mix from EMFAC2021, which were adjusted with the CARB EMFAC off-model adjustment factors. On road emission rates from 2022 San Mateo County were used (See Attachment 3). More details about the updates in emissions calculation methodologies and data are available in the EMFAC2021 Technical Support Document.10 Energy
GHG emissions modeling includes those indirect emissions from electricity consumption. The model has a default rate of 0 pounds of CO2 per megawatt of electricity produced, which is based on Peninsula Clean Energy’s 2019 emissions rate. There would be no natural gas usage as the City prohibits natural gas usage from new developments.

Project Generator
The project would include a diesel-fired emergency generator to provide 2,800-kilowatts (kW). It is assumed the generator would be powered by a 3,750 horsepower (hp) engine. This generator would be tested periodically and power the buildings in the event of a power failure. For modeling purposes, it was assumed that the generator would be operated primarily for testing and maintenance purposes. CARB and BAAQMD requirements limit these engine operations to 50 hours each per year of non-emergency operation. During testing periods, the engine would typically be run for less than one hour. The engine would be required to meet CARB and EPA emission standards and consume commercially available California low-sulfur diesel fuel.

Additionally, the generator would have to meet BAAQMD BACT requirements for IC EngineCompression Ignition: Stationary Emergency, non-Agricultural, non-direct drive fire pump sources. Based on the size of the proposed generator (greater than 1,000-hp), these include emission limits similar to U.S. EPA Tier 4 engines. The generator’s emissions, including BACT engine requirements, were modeled using CalEEMod.
9 Hexagon Transportation Consultants. 2021. Trip Generation Estimates for an Office/ Research & Development Center at 580 Dubuque Avenue in South San Francisco, California. July 30. 10 See CARB 2021: https://ww2.arb.ca.gov/our-work/programs/mobile-source-emissions-inventory/roaddocumentation/msei-modeling-tools-emfac 17 Other Inputs
Default model assumptions for emissions associated with solid waste generation use were applied to the project. Water/wastewater use were changed to 100% aerobic conditions to represent wastewater treatment plant conditions since the project site would not send wastewater to septic tanks or facultative lagoons.

Existing Uses
The existing site is undeveloped, so an existing use CalEEMod run was not created.

Summary of Computed Operational Period Emissions
Annual emissions were predicted using CalEEMod. The daily emissions were calculated assuming 365 days of operation. Table 5 shows average daily emissions of ROG, NOX, total PM10, and total PM2.5 during operation of the project. The operational period emissions would not exceed the BAAQMD significance thresholds. Table 5 also shows how emissions are affected when current traffic from Petaluma customers at other Home Depot stores are included in the modeling.

Table 5. Operational Period Emissions
Scenario ROG NOx PM10 PM2.5
2025 Project Operational Emissions (tons/year) 2.34 1.60 1.42 0.40 BAAQMD Thresholds (tons /year) 10 tons 10 tons 15 tons 10 tons Exceed Thresholds? No No No No
Total (lbs./day) 12.81 8.74 7.80 2.18
BAAQMD Thresholds (lbs./day) 54 lbs. 54 lbs. 82 lbs. 54 lbs.

Exceed Threshold? No No No No
Notes: 1 Assumes 365-day operation.

Impact AIR-2: Expose sensitive receptors to substantial pollutant concentrations? Project impacts related to increased community risk can occur either by introducing a new source of TACs with the potential to adversely affect existing sensitive receptors in the project vicinity or by significantly exacerbating existing cumulative TAC impacts. This project would introduce new sources of TACs during construction (i.e., on-site construction and truck hauling emissions) and operation (i.e., mobile sources).

Project construction activity would generate dust and equipment exhaust that would affect nearby sensitive receptors. The project would include the installation of an emergency generator powered by a diesel engine. Traffic generated by the project would consist of mostly light-duty gasolinepowered vehicles, which would produce TAC and air pollutant emissions.

Project impacts to existing sensitive receptors were addressed for temporary construction activities and long-term operational conditions. There are also several sources of existing TACs and 18 localized air pollutants in the vicinity of the project. The impact of the existing sources of TAC was also assessed in terms of the cumulative risk which includes the project contribution.

Community Risk Methodology for Construction and Operation Community risk impacts are addressed by predicting increased lifetime cancer risk, the increase in annual PM2.5 concentrations, and computing the Hazard Index (HI) for non-cancer health risks.

The risk impacts from the project are the combination of risks from construction and operation sources. These sources include on-site construction activity, construction truck hauling, and increased traffic from the project. To evaluate the increased cancer risks from the project, a 30- year exposure period was used, per BAAQMD guidance,11 with the sensitive receptors being exposed to both project construction and operation emissions during this timeframe.

The project increased cancer risk is computed by summing the project construction cancer risk and operation cancer risk contributions. Unlike, the increased maximum cancer risk, the annual PM2.5 concentration and HI values are not additive but based on the annual maximum values for the entirety of the project. The project maximally exposed individual (MEI) is identified as the sensitive receptor that is most impacted by the project’s construction and operation.

The methodology for computing community risks impacts is contained in Attachment 1. This involved the calculation of TAC and PM2.5 emissions, dispersion modeling of these emissions, and computations of cancer risk and non-cancer health effects.

Modeled Sensitive Receptors

Receptors for this assessment included locations where sensitive populations would be present for extended periods of time (i.e., chronic exposures). This includes the existing residences to the northwest, west, and southwest of the site, as shown in Figure 1. Residential receptors are assumed to include all receptor groups (i.e., third trimester, infants, children, and adults) with almost continuous exposure to project emissions.

Community Health Risk from the Project
Construction equipment and associated heavy-duty truck traffic generates diesel exhaust, which is a known TAC. These exhaust emissions pose health risks for sensitive receptors such as surrounding residents. The primary community risk impact issues associated with construction emissions are cancer risk and exposure to PM2.5. Diesel exhaust poses both a potential health and nuisance impact to nearby receptors. A health risk assessment of the project construction activities was conducted that evaluated potential health effects to nearby sensitive receptors from construction emissions of DPM and PM2.5.
12 This assessment included dispersion modeling to
predict the offsite concentrations resulting from project construction, so that lifetime cancer risks and non-cancer health effects could be evaluated.
11 BAAQMD, 2016. BAAQMD Air Toxics NSR Program Health Risk Assessment (HRA) Guidelines. December 2016.
12 DPM is identified by California as a toxic air contaminant due to the potential to cause cancer. 19 Construction Emissions
The CalEEMod model and EMFAC2021 emissions provided total annual PM10 exhaust emissions (assumed to be DPM) for the off-road construction equipment and for exhaust emissions from onroad vehicles, with total emissions from all construction stages as 0.18 tons (363 pounds). The onroad emissions are a result of haul truck travel during grading activities, worker travel, and vendor deliveries during construction. A trip length of one mile was used to represent vehicle travel while at or near the construction site. It was assumed that these emissions from on-road vehicles traveling at or near the site would occur at the construction site. Fugitive PM2.5 dust emissions were calculated by CalEEMod as 0.09 tons (189 pounds) for the overall construction period.

Dispersion Modeling
The U.S. EPA AERMOD dispersion model was used to predict concentrations of DPM and PM2.5 concentrations at sensitive receptors in the vicinity of the project construction area. The AERMOD dispersion model is a BAAQMD-recommended model for use in modeling analysis of these types of emission activities for CEQA projects.13 Emission sources for the construction site were grouped into two categories: exhaust emissions of DPM and fugitive PM2.5 dust emissions.

Construction Sources
To represent the construction equipment exhaust emissions, an area source emission release height of 20 feet (6 meters) was used for the area sources.14 The release height incorporates both the physical release height from the construction equipment (i.e., the height of the exhaust pipe) and plume rise after it leaves the exhaust pipe. Plume rise is due to both the high temperature of the exhaust and the high velocity of the exhaust gas. It should be noted that when modeling an area source, plume rise is not calculated by the AERMOD dispersion model as it would do for a point source (exhaust stack). Therefore, the release height from an area source used to represent emissions from sources with plume rise, such as construction equipment, should be based on the height the exhaust plume is expected to achieve, not just the height of the top of the exhaust pipe.

For modeling fugitive PM2.5 emissions, a near-ground level release height of 7 feet (2 meters) was used for the area source. Fugitive dust emissions at construction sites come from a variety of sources, including truck and equipment travel, grading activities, truck loading (with loaders) and unloading (rear or bottom dumping), loaders and excavators moving and transferring soil and other materials, etc. All of these activities result in fugitive dust emissions at various heights at the point(s) of generation. Once generated, the dust plume will tend to rise as it moves downwind across the site and exit the site at a higher elevation than when it was generated. For all these reasons, a 7-foot release height was used as the average release height across the construction site.

Emissions from the construction equipment and on-road vehicle travel were distributed throughout the modeled area sources.
13 Bay Area Air Quality Management District (BAAQMD), 2012, Recommended Methods for Screening and Modeling Local Risks and Hazards, Version 3.0. May. 14 California Air Resource Board, 2007. Proposed Regulation for In-Use Off-Road Diesel Vehicles, Appendix D:

Health Risk Methodology. April. Web: https://ww3.arb.ca.gov/regact/2007/ordiesl07/ordiesl07.htm 20 AERMOD Inputs and Meteorological Data
The modeling used a five-year data set (2013 - 2017) of hourly meteorological data from the San Francisco International Airport was used with the AERMOD model. Construction emissions were modeled as occurring Monday through Friday between 7:00 a.m. to 3:30 p.m., when the majority of construction activity is expected to occur according to the applicant. Annual DPM and PM2.5 concentrations from construction activities during the 2022-2024 period were calculated using the model. DPM and PM2.5 concentrations were calculated at nearby sensitive receptors. Receptor heights of 5 feet (1.5 meters), 15 feet (4.5 meters), and 25 feet (7.6 meters) were used to represent the breathing height on the first, second, and third floor of nearby single and multi-family residences.15
Summary of Construction Community Risk Impacts
The maximum increased cancer risks were calculated using the modeled TAC concentrations combined with the Office of Environmental Health Hazard Assessment (OEHHA) guidance for age sensitivity factors and exposure parameters as recommended by BAAQMD (see Attachment 1). Non-cancer health hazards and maximum PM2.5 concentrations were also calculated and identified. Age-sensitivity factors reflect the greater sensitivity of infants and small children to cancer causing TACs. Third trimester, infant, child, and adult exposures were assumed to occur at all residences during the entire construction period.

The maximum modeled annual PM2.5 concentration was calculated based on combined exhaust and fugitive concentrations. The maximum computed HI value was based on the ratio of the maximum DPM concentration modeled and the chronic inhalation refence exposure level of 5 µg/m3.

The maximum modeled annual DPM and PM2.5 concentrations, which includes both the DPM and fugitive PM2.5 concentrations, were identified at nearby sensitive receptors (as shown in Figure 1) to find the maximally exposed individuals (MEI). Results of this assessment indicated that the construction MEI was located on the third floor (25 feet above ground) of a multi-family residential complex west of the project site. Table 6 summarizes the maximum cancer risks, PM2.5 concentrations, and health hazard indexes for project related construction activities affecting the construction MEI. Attachment 4 to this report includes the emission calculations used for the construction area source modeling and the cancer risk calculations.

15 Bay Area Air Quality Management District, 2012, Recommended Methods for Screening and Modeling Local Risks and Hazards, Version 3.0. May. Web: https://www.baaqmd.gov/~/media/files/planning-andresearch/ceqa/risk-modeling-approach-may-2012.pdf?la=en 21 Figure 1. Locations of Project Construction Site, Project Traffic, Project Generator, Off-Site Sensitive Receptors, and Maximum TAC Impact
Community Risks from Project Operation – Traffic and Stationary Sources Operation of the project would have long-term emissions from mobile sources (i.e., traffic) and stationary sources (i.e., generator). While these emissions would not be as intensive at or near the site as construction activity, they would contribute to long-term effects to sensitive receptors.

Project Operational Traffic
An analysis was conducted of the impacts of TACs and PM2.5 from local roadways increase in traffic due to the project. The project would generate 2,159 net daily trips.16 Most of these trips would be from light-duty, gasoline vehicles (i.e., passenger cars). To address the added community risks, the impact from this traffic was assessed using the CT-EMFAC 2017 emissions model, AERMOD dispersion model and cancer risk calculations following BAAQMD methodology described in Attachment 1. Figure 1 shows the modeled roadway segment. 16 Hexagon Transportation Consultants. 2021. Trip Generation Estimates for an Office/ Research & Development Center at 580 Dubuque Avenue in South San Francisco, California. July 30. 22 Traffic Emissions
This analysis involved the development of DPM, organic TACs, and PM2.5 roadway emissions in the project area using the Caltrans version of the EMFAC2017 emission model, known as CTEMFAC2017.17 CT-EMFAC2017 provides emission factors for mobile source criteria pollutants and TACs, including DPM. Emission processes modeled include running exhaust for DPM, PM2.5 and total organic compounds (e.g., TOG), running evaporative losses for TOG, and tire and brake wear and fugitive road dust for PM2.5. All PM2.5 emissions from all vehicles were used, rather than just the PM2.5 fraction from diesel powered vehicles, because all vehicle types (i.e., gasoline and diesel powered) produce PM2.5. Additionally, PM2.5 emissions from vehicle tire and brake wear and from re-entrained roadway dust were included in these emissions. DPM emissions are projected to decrease in the future and are reflected in the CT-EMFAC2017 emissions data. Inputs to the model include region (San Mateo County), type of road (major/collector), truck percentage for non-state highways in San Mateo County (3.13 percent),18 traffic mix assigned by CTEMFAC2017 for the county, year of analysis (2025 – project operational year), and season (annual).

Project operation was assumed to begin in 2025 or thereafter. To calculate the increased cancer risk from increased traffic volumes due to the project traffic, the community risks were adjusted for exposure duration to account for the MEI being exposed to construction for the first 3 years of the 30-year analysis period. The exposure duration from roadway traffic was adjusted for 27 years of exposure (2025-2051). To estimate TAC and PM2.5 emissions over the exposure period for calculating increased cancer risks from project traffic, the CT-EMFAC2017 model was used to develop vehicle emission factors for the year 2025. Year 2025 emissions were conservatively assumed as being representative of future conditions, since, as discussed above, overall vehicle emissions, and in particular diesel truck emissions will decrease in the future.

Traffic Dispersion Modeling Inputs
A conservative analysis was conducted based on project driveway locations where all project traffic emissions from on- and near-site travel were assumed to be entirely along Dubuque Avenue.

The project’s trip generation provided by the traffic consultant of 2,159 net daily trips was used to assess project traffic impacts. 19 The average hourly traffic distributions for San Mateo County roadways were developed using the EMFAC model,20 which were then applied to the trip volumes to obtain estimated hourly traffic volumes and emissions for the roadways. For all hours of the day, the average speed of 30 mph on Dubuque Avenue was assumed for all vehicles based on posted speed limit signs on the roadway.
17 Note that Caltrans has not yet updated their version of EMFAC to incorporate EMFAC2021 emission rates for traffic modeling studies.
18 Bay Area Air Quality Management District, 2012, Recommended Methods for Screening and Modeling Local Risks and Hazards, Version 3.0. May. Web: https://www.baaqmd.gov/~/media/files/planning-andresearch/ceqa/risk-modeling-approach-may-2012.pdf?la=en 19 Hexagon Transportation Consultants. 2021. Trip Generation Estimates for an Office/ Research & Development Center at 580 Dubuque Avenue in South San Francisco, California. July 30. 20 The Burden output from EMFAC2007, a previous version of CARB’s EMFAC model, was used for this since the current web-based version of EMFAC2021 does not include Burden type output with hour by hour traffic volume information.
23 Dispersion Modeling
Operational traffic roadway travel emissions were modeled with the AERMOD model using a series of adjacent volume sources along a line (line volume sources) to represent traffic emissions on the roadway segment where all of the project traffic would occur. Five years (2013-2017) of hourly meteorological data from the San Francisco International Airport prepared for use with the AERMOD model by the BAAQMD, were used for the modeling. TAC and PM2.5 concentrations for 2025 were calculated by the model at the same sensitive receptor locations with the same receptor heights of 25 feet (7.6 meter) used for the construction health risk modeling at the MEI location.

Figure 1 shows the project roadway segments modeled and maximum receptor location used in the modeling. Table 6 lists the project roadway risks and hazards at the location of the MEI. The emission rates and roadway calculations used in the project impact analysis are shown in Attachment 4.

Project Operational Stand-By Diesel Generator
The project proposes to include a diesel-fired emergency generator along the northeast corner of the project site. Site plans show a designated area in that corner of the project site for the generator.

Therefore, it was assumed that the generator’s emissions would be released 10 feet above the ground. This generator would be 2,800-kW powered by a 3,750-HP diesel engine.

Operation of a diesel generator would be a source of TAC emissions. The generator would be operated for testing and maintenance purposes, with a maximum of 50 hours per year of nonemergency operation under normal conditions. During testing periods, the engine would typically be run for less than one hour under light engine loads. The generator engines would be required to meet EPA emission standards and consume commercially available low sulfur diesel fuel.

Additionally, the generators would have to meet BAAQMD BACT requirements for IC EngineCompression Ignition: Stationary Emergency, non-Agricultural, non-direct drive fire pump sources. Based on the size of the proposed generator, these include emission limits similar to U.S.

EPA Tier 4 engines. The emissions from the operation of the generators were calculated using the CalEEMod model.

The generator would be subject to CARB’s Stationary Diesel Airborne Toxics Control Measure (ATCM) and require permits from the BAAQMD, since it will be equipped with a diesel engine larger than 50-HP. BACT requirements would apply to these generators that would limit DPM emissions. As part of the BAAQMD permit requirements for toxics screening analysis, the engine emissions will have to meet Best Available Control Technology for Toxics (BACT) and pass the toxic risk screening level of less than ten in a million. The risk assessment would be prepared by BAAQMD. Depending on results, BAAQMD would set limits for DPM emissions (e.g., more restricted engine operation periods). Sources of air pollutant emissions complying with all applicable BAAQMD regulations generally will not be considered to have a significant air quality community risk impact.
24 To obtain an estimate of potential cancer risks and PM2.5 impacts from operation of the emergency generator, the U.S. EPA AERMOD dispersion model was used to calculate the maximum annual DPM concentration at off-site sensitive receptor locations. The same receptors, breathing heights, and BAAQMD San Francisco International Airport meteorological data used in the construction dispersion modeling were used for the generator model. Stack parameters for modeling the generator were either based on project-specific generator parameters (i.e., engine size) or based on BAAQMD default parameters (exhaust gas flowrate, stack height, exhaust gas temperature, and stack diameter) for stand-by diesel generators if that project-specific information were not available.21 Annual average DPM and PM2.5 concentrations were modeled assuming that generator testing could occur at any time of the day (24 hours per day, 365 days per year).

To calculate the increased cancer risk from the generator at the MEI, the exposure duration was adjusted for 27 years of exposure for the maximum receptor. Table 6 lists the community risks from stand-by diesel generator at the location of the MEI. The emissions and health risk calculations for the proposed generators are included in Attachment 4.

Community Risks of all Project TAC Sources at Project MEI The cumulative risk impacts from a project are the combination of construction and operation sources. These sources include on-site construction activity, project generator, and increased traffic from the project. The project impact is computed by adding the construction cancer risk to the increased cancer risk for the project operational conditions for the roadway, generator, and operational traffic at the MEI.

For this project, the sensitive receptor identified in Figure 1 as the construction MEI is also the project MEI. Sensitive receptors could be present at this site for up to 30 years. At this location, the MEI would be exposed to 3 years of construction cancer risks and 27 years of operational (includes traffic, stand-by generator) cancer risks. The cancer risks from construction and operation of the project were summed together. Unlike, the increased maximum cancer risk, the annual PM2.5 concentration and HI risks are not additive but based on an annual maximum risk for the entirety of the project.

Project risk impacts are shown in Table 6. The unmitigated maximum cancer risks, annual PM2.5 concentration, and HI from construction and operational activities at the project MEI location would not exceed the BAAQMD single-source significance thresholds.

21 Bay Area Air Quality Management District, San Francisco Department of Public Health, and San Francisco Planning Department, 2012. The San Francisco Community Risk Reduction Plan: Technical Support Document, BAAQMD, December. Web:
https://www.gsweventcenter.com/Appeal_Response_References/2012_1201_BAAQMD.pdf 25 Table 6. Project Health Risk Impacts at the Off-site MEI Source Cancer Risk
(per million)
Annual PM2.5
(µg/m3)
Hazard
Index
Project Construction (Years 0 -3) Unmitigated 8.41 (infant) 0.06 <0.01 Project Generator (2,800kW, 3,750hp diesel-fired emergency generator, 50 hours/year operation) (Years 4 – 30) 0.43 <0.01 <0.01 Project Traffic (1/2-mile on-site distance) (Years 4 – 30) 0.04 <0.01 <0.01 Total Project (Construction + Operation Years 0-30) Unmitigated 8.88 (infant) 0.06 <0.01 BAAQMD Single-Source Threshold 10 0.3 1.0
Exceed Threshold? Unmitigated No No No

26 Cumulative Community Risks of all TAC Sources at the Offsite Project MEI Community health risk assessments typically look at all substantial sources of TACs that can affect sensitive receptors that are located within 1,000 feet of a project site (i.e., influence area). These sources include rail lines, highways, busy surface streets, and stationary sources identified by BAAQMD.

A review of the project area and based on provided traffic information indicated that two roadways, Airport Boulevard and Grand Avenue, within the influence area would have traffic exceeding 10,000 vehicles per day. A review of BAAQMD’s stationary source geographic information systems (GIS) map tool identified eleven stationary sources with the potential to affect the project site and MEI. Figure 2 shows the project area included within the influence area and the location of the MEI. Details of the modeling and community risk calculations are included in Attachment

5. Figure 2. Project Site and Nearby TAC and PM2.5 Sources

27 Highways & Railways – U.S. Highway 101, CalTrain Zone 1 The project MEI is approximately 150 feet west of U.S. Highway 101 and approximately 600 feet northwest of CalTrain Zone 1. Screening data reported by BAAQMD for highways and railways were incorporated into this analysis. BAAQMD provided raster files with cancer risk and PM2.5 values for all highways/freeways, roadways (ADT > 30,000), and rail lines within the Bay Area.

The risk values shown in the raster files were modeled in AERMOD in 20x20-meter grid cells.

The files incorporate AADT for the highway using EMFAC2014 data for fleet mix and include the OEHHA 2015 factor. These raster files were used to screen Highway 101 and CalTrain Zone 1 risks and hazards upon the MEI. The freeway and railway screening level impacts are listed in Table 7 and included in Attachment 5. Note that the cancer risk value is not adjusted for age sensitivity or exposure duration. It is conservatively higher than adjusted cancer risk values.

Refined modeling of the highway and railway would have resulted in even lower risk values. Note that BAAQMD has found that non-cancer hazards were found to be minimal, so an HI value is not included.

Local Roadways – Airport Boulevard & Grand Avenue
A refined analysis of potential health impacts from vehicle traffic on Airport Boulevard and Grand Avenue was conducted. The refined analysis involved predicting emissions for the traffic volume and mix of vehicle types on the roadway near the project site and using an atmospheric dispersion model to predict exposure to TACs. The associated cancer risks are then computed based on the modeled exposures. Attachment 1 includes a description of how community risk impacts, including cancer risk are computed.

Emission Rates
The development of roadway emissions for traffic on Airport Boulevard and Grand Avenue was done in the same manner as the project roadway emissions above using CT-EMFAC2017. Inputs to the model include region (San Mateo County), type of road (major/collector), truck percentage for non-state highways in San Mateo County (3.13 percent),22 traffic mix assigned by CTEMFAC2017 for the county, year of analysis (2022 – construction start year), and season (annual).

To estimate TAC and PM2.5 emissions over the 30-year exposure period used for calculating the increased cancer risks for sensitive receptors at the MEI and project site, the CT-EMFAC2017 model was used to develop vehicle emission factors for the year 2022 (project construction year).

Emissions associated with vehicle travel depend on the year of analysis because emission control technology requirements are phased-in over time. Therefore, the earlier the year analyzed in the model, the higher the emission rates utilized by CT-EMFAC2017. Year 2022 emissions were conservatively assumed as being representative of future conditions over the time period that cancer risks are evaluated since, as discussed above, overall vehicle emissions, and in particular diesel truck emissions, will decrease in the future.
22 Bay Area Air Quality Management District, 2012, Recommended Methods for Screening and Modeling Local Risks and Hazards, Version 3.0. May. Web: https://www.baaqmd.gov/~/media/files/planning-andresearch/ceqa/risk-modeling-approach-may-2012.pdf?la=en 28 The average daily traffic (ADT) for Airport Boulevard was calculated based on traffic data provided in the City of South San Francisco’s Downtown Station Area Specific Plan Environmental Impact Report.23 The estimated ADT on Airport Boulevard was 27,092 vehicles, and 34,134 vehicles on Grand Avenue. Average hourly traffic distributions for San Mateo County roadways were developed using the EMFAC model,24 which were then applied to the ADT volumes to obtain estimated hourly traffic volumes and emissions for the roadway. An average travel speed of 35 miles per hour (mph) on both roadways was used for all hours of the day based on posted speed limit signs on the roadway.

Dispersion Modeling
Dispersion modeling of TAC and PM2.5 emissions was conducted using the EPA AERMOD air quality dispersion model, which is recommended by the BAAQMD for this type of analysis.25 TAC and PM2.5 emissions from traffic on Airport Boulevard and Grand Avenue within 1,000 feet of the project site were evaluated. Vehicle traffic on the roadways was modeled using a series of adjacent volume sources along a line (line volume sources); with line segments used for each travel direction on both roadways. The same meteorological data and off-site sensitive receptors used in the previous dispersion modeling were used in the roadway modeling. Other inputs to the model included road geometry, hourly traffic emissions, and receptor locations. Annual TAC and PM2.5 concentrations for 2022 from traffic on both roadways were calculated using the model.

Concentrations were calculated at the project MEIs with receptor heights of 25 feet (7.6 meters) to represent the breathing heights of residents in the single-family homes.

Figure 2 shows the roadway segments modeled and residential receptor locations used in the modeling. Table 7 lists the risks and hazards from the roadway. The emission rates and roadway calculations used in the analysis are shown in Attachment 5.

BAAQMD Permitted Stationary Sources
Permitted stationary sources of air pollution near the project site were identified using BAAQMD’s Permitted Stationary Sources 2018 GIS website,26 which identifies the location of nearby stationary sources and their estimated risk and hazard impacts, including emissions and adjustments to account for new OEHHA guidance. Eleven sources were identified using this tool, seven generators, two auto body coating operations, and two gas dispensing facilities.

The screening level risks and hazards provided by BAAQMD for the stationary source was adjusted for distance using BAAQMD’s Distance Adjustment Multiplier Tool for Gasoline Dispending Facilities. Community risk impacts from the stationary source upon the MEI are reported in Table 7.
23City of South San Francisco, South San Francisco Downtown Station Area Specific Plan Environmental Impact Report, December, 2014. https://www.ssf.net/home/showpublisheddocument/6706/636483482120330000. 24 The Burden output from EMFAC2007, a previous version of CARB’s EMFAC model, was used for this since the current web-based version of EMFAC2014 does not include Burden type output with hour by hour traffic volume information.
25 BAAQMD. Recommended Methods for Screening and Modeling Local Risks and Hazards. May 2012 26 BAAQMD,
https://baaqmd.maps.arcgis.com/apps/webappviewer/index.html?id=2387ae674013413f987b1071715daa65 29 Summary of Cumulative Health Risk Impact at Construction MEI

Table 7 reports both the project and cumulative community risk impacts at the sensitive receptors most affected by construction (i.e., the MEI). The project would not have an exceedance with respect to community risk caused by project construction activities since the maximum unmitigated cancer risk, annual PM2.5 concentration, and HI do not exceed the BAAQMD single or cumulative-source threshold.

Table 7. Impacts from Combined Sources at Project MEI
Source Cancer Risk
(per million)
Annual PM2.5
(µg/m3)
Hazard
Index
Project Construction & Operation Unmitigated 8.88 (infant) 0.06 <0.01 Highway 101 BAAQMD Raster 21.09 0.44 -
CalTrain Zone 1 BAAQMD Raster 11.70 0.02 -
Airport Boulevard, ADT 27,092 1.65 0.08 <0.01
Grand Avenue, ADT 34,134 0.62 0.04 <0.01
Boston Properties (Facility ID #24795, Generators, Boilers), MEI at 1000+ feet 0.81 0.01 <0.01
Boston Properties (Facility ID #24795, Generators, Boilers), MEI at 1000+ feet 0.07 <0.01 <0.01
Genentech, Inc. (Facility ID #16024, Generators), MEI at 1000+ feet 0.11 <0.01 <0.01
Alexandria Real Estate Equities, Inc (Facility ID #17649, Generators), MEI at 1000+ feet 0.37 <0.01 <0.01
Lowe’s HIW Inc (Facility ID #18401, Generators), MEI at 1000+ feet 0.38 <0.01 <0.01
MacroGenics West, Inc (Facility ID #19179, Generators), MEI at 1000+ feet 1.58 <0.01 <0.01
NOD Auto Body Shop Inc (Facility ID #20215, Auto Body
Coating Operation), MEI at 100 feet - - <0.01
Biotech Gateway – HCP c/o CBRE (Facility ID #20236,
Generators), MEI at 1000+ feet 0.07 <0.01 <0.01
Unocal #1020 – Grand Martco Inc (Facility ID #109214, Gas Dispensing Facility), MEI at 730 feet 0.61 <0.01 <0.01
Flyers #411 (Facilty ID #110786, Gas Dispensing Facility), MEI at 1000+ feet 0.15 <0.01 <0.01
A&K Supreme Auto (Facility ID #201062, Gas Dispensing
Facility), MEI at 200 feet - - <0.01
Combined Sources Unmitigated <48.09 <0.73 <0.14
BAAQMD Cumulative Source Threshold 100 0.8 10.0
Exceed Threshold? Unmitigated No No No

30 GREENHOUSE GAS EMISSIONS
Setting
Gases that trap heat in the atmosphere, GHGs, regulate the earth’s temperature. This phenomenon, known as the greenhouse effect, is responsible for maintaining a habitable climate. The most common GHGs are carbon dioxide (CO2) and water vapor but there are also several others, most importantly methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), and sulfur hexafluoride (SF6). These are released into the earth’s atmosphere through a variety of natural processes and human activities. Sources of GHGs are generally as follows:
 CO2, CH4, and N2O are byproducts of fossil fuel combustion.  N2O is associated with agricultural operations such as fertilization of crops.  CH4 is commonly created by off-gassing from agricultural practices (e.g., keeping livestock) and landfill operations.
 Chlorofluorocarbons (CFCs) were widely used as refrigerants, propellants, and cleaning solvents but their production has been stopped by international treaty.  HFCs are now used as a substitute for CFCs in refrigeration and cooling.  PFCs and sulfur hexafluoride emissions are commonly created by industries such as aluminum production and semi-conductor manufacturing.

Each GHG has its own potency and effect upon the earth’s energy balance. This is expressed in terms of a global warming potential (GWP), with CO2 being assigned a value of 1 and sulfur hexafluoride being several orders of magnitude stronger. In GHG emission inventories, the weight of each gas is multiplied by its GWP and is measured in units of CO2 equivalents (CO2e).

An expanding body of scientific research supports the theory that global climate change is currently affecting changes in weather patterns, average sea level, ocean acidification, chemical reaction rates, and precipitation rates, and that it will increasingly do so in the future. The climate and several naturally occurring resources within California are adversely affected by the global warming trend. Increased precipitation and sea level rise will increase coastal flooding, saltwater intrusion, and degradation of wetlands. Mass migration and/or loss of plant and animal species could also occur. Potential effects of global climate change that could adversely affect human health include more extreme heat waves and heat-related stress; an increase in climate-sensitive diseases; more frequent and intense natural disasters such as flooding, hurricanes and drought; and increased levels of air pollution.

Recent Regulatory Actions for GHG Emissions
Executive Order S-3-05 – California GHG Reduction Targets Executive Order (EO) S-3-05 was signed by Governor Arnold Schwarzenegger in 2005 to set GHG emission reduction targets for California. The three targets established by this EO are as follows:
(1) reduce California’s GHG emissions to 2000 levels by 2010, (2) reduce California’s GHG emissions to 1990 levels by 2020, and (3) reduce California’s GHG emissions by 80 percent below 1990 levels by 2050.
31 Assembly Bill 32 – California Global Warming Solutions Act (2006) Assembly Bill (AB) 32, the Global Warming Solutions Act of 2006, codified the State’s GHG emissions target by directing CARB to reduce the State’s global warming emissions to 1990 levels by 2020. AB 32 was signed and passed into law by Governor Schwarzenegger on September 27, 2006. Since that time, the CARB, CEC, California Public Utilities Commission (CPUC), and Building Standards Commission have all been developing regulations that will help meet the goals of AB 32 and Executive Order S-3-05, which has a target of reducing GHG emissions 80 percent below 1990 levels.

A Scoping Plan for AB 32 was adopted by CARB in December 2008. It contains the State’s main strategies to reduce GHGs from business-as-usual emissions projected in 2020 back down to 1990 levels. Business-as-usual (BAU) is the projected emissions in 2020, including increases in emissions caused by growth, without any GHG reduction measures. The Scoping Plan has a range of GHG reduction actions, including direct regulations, alternative compliance mechanisms, monetary and non-monetary incentives, voluntary actions, and market-based mechanisms such as a cap-and-trade system.

As directed by AB 32, CARB has also approved a statewide GHG emissions limit. On December 6, 2007, CARB staff resolved an amount of 427 million metric tons (MMT) of CO2e as the total statewide GHG 1990 emissions level and 2020 emissions limit. The limit is a cumulative statewide limit, not a sector- or facility-specific limit. CARB updated the future 2020 BAU annual emissions forecast, in light of the economic downturn, to 545 MMT of CO2e. Two GHG emissions reduction measures currently enacted that were not previously included in the 2008 Scoping Plan baseline inventory were included, further reducing the baseline inventory to 507 MMT of CO2e. Thus, an estimated reduction of 80 MMT of CO2e is necessary to reduce statewide emissions to meet the AB 32 target by 2020.

Executive Order B-30-15 & Senate Bill 32 GHG Reduction Targets – 2030 GHG Reduction Target In April 2015, Governor Brown signed EO B-30-15, which extended the goals of AB 32, setting a greenhouse gas emissions target at 40 percent of 1990 levels by 2030. On September 8, 2016, Governor Brown signed Senate Bill (SB) 32, which legislatively established the GHG reduction target of 40 percent of 1990 levels by 2030. In November 2017, CARB issued California’s 2017 Climate Change Scoping Plan.
27 While the State is on track to exceed the AB 32 scoping plan 2020 targets, this plan is an update to reflect the enacted SB 32 reduction target.

SB 32 was passed in 2016, which codified a 2030 GHG emissions reduction target of 40 percent below 1990 levels. CARB is currently working on a second update to the Scoping Plan to reflect the 2030 target set by Executive Order B-30-15 and codified by SB 32. The proposed Scoping Plan Update was published on January 20, 2017 as directed by SB 32 companion legislation AB 197. The mid-term 2030 target is considered critical by CARB on the path to obtaining an even 27 California Air Resource Board, 2017. California’s 2017 Climate Change Scoping Plan: The Strategy for Achieving California’s 2030 Greenhouse Gas Targets. November. Web:
https://ww2.arb.ca.gov/sites/default/files/classic//cc/scopingplan/scoping_plan_2017.pdf 32 deeper GHG emissions target of 80 percent below 1990 levels by 2050, as directed in Executive Order S-3-05. The Scoping Plan outlines the suite of policy measures, regulations, planning efforts, and investments in clean technologies and infrastructure, providing a blueprint to continue driving down GHG emissions and obtain the statewide goals.

The new Scoping Plan establishes a strategy that will reduce GHG emissions in California to meet the 2030 target (note that the AB 32 Scoping Plan only addressed 2020 targets and a long-term goal). Key features of this plan are:
 Cap and Trade program places a firm limit on 80 percent of the State’s emissions;  Achieving a 50-percent Renewable Portfolio Standard by 2030 (currently at about 29 percent statewide);
 Increase energy efficiency in existing buildings;
 Develop fuels with an 18-percent reduction in carbon intensity;  Develop more high-density, transit-oriented housing;
 Develop walkable and bikeable communities;
 Greatly increase the number of electric vehicles on the road and reduce oil demand in half;  Increase zero-emissions transit so that 100 percent of new buses are zero emissions;  Reduce freight-related emissions by transitioning to zero emissions where feasible and near-zero emissions with renewable fuels everywhere else; and  Reduce “super pollutants” by reducing methane and hydrofluorocarbons or HFCs by 40 percent.

In the updated Scoping Plan, CARB recommends statewide targets of no more than 6 metric tons (MT) CO2e per capita (statewide) by 2030 and no more than 2 metric tons CO2e per capita by 2050. The statewide per capita targets account for all emissions sectors in the State, statewide population forecasts, and the statewide reductions necessary to achieve the 2030 statewide target under SB 32 and the longer-term State emissions reduction goal of 80 percent below 1990 levels by 2050.

Executive Order B-55-18 – Carbon Neutrality
In 2018, a new statewide goal was established to achieve carbon neutrality as soon as possible, but no later than 2045, and to maintain net negative emissions thereafter. CARB and other relevant state agencies are tasked with establishing sequestration targets and create policies/programs that would meet this goal.

Senate Bill 375 – California's Regional Transportation and Land Use Planning Efforts (2008) California enacted legislation (SB 375) to expand the efforts of AB 32 by controlling indirect GHG emissions caused by urban sprawl. SB 375 provides incentives for local governments and applicants to implement new conscientiously planned growth patterns. This includes incentives for creating attractive, walkable, and sustainable communities and revitalizing existing communities.

The legislation also allows applicants to bypass certain environmental reviews under CEQA if they build projects consistent with the new sustainable community strategies. Development of more alternative transportation options that would reduce vehicle trips and miles traveled, along with 33 traffic congestion, would be encouraged. SB 375 enhances CARB’s ability to reach the AB 32 goals by directing the agency in developing regional GHG emission reduction targets to be achieved from the transportation sector for 2020 and 2035. CARB works with the metropolitan planning organizations (e.g. Association of Bay Area Governments [ABAG] and Metropolitan Transportation Commission [MTC]) to align their regional transportation, housing, and land use plans to reduce vehicle miles traveled and demonstrate the region's ability to attain its GHG reduction targets. A similar process is used to reduce transportation emissions of ozone precursor pollutants in the Bay Area.

Senate Bill 350 - Renewable Portfolio Standards
In September 2015, the California Legislature passed SB 350, which increases the states Renewables Portfolio Standard (RPS) for content of electrical generation from the 33 percent target for 2020 to a 50 percent renewables target by 2030.

Senate Bill 100 – Current Renewable Portfolio Standards In September 2018, SB 100 was signed by Governor Brown to revise California’s RPS program goals, furthering California’s focus on using renewable energy and carbon-free power sources for its energy needs. The bill would require all California utilities to supply a specific percentage of their retail sales from renewable resources by certain target years. By December 31, 2024, 44 percent of the retails sales would need to be from renewable energy sources, by December 31, 2026 the target would be 40 percent, by December 31, 2017 the target would be 52 percent, and by December 31, 2030 the target would be 60 percent. By December 31, 2045, all California utilities would be required to supply retail electricity that is 100 percent carbon-free and sourced from eligible renewable energy resource to all California end-use customers.

California Building Standards Code – Title 24 Part 11 & Part 6 The California Green Building Standards Code (CALGreen Code) is part of the California Building Standards Code under Title 24, Part 11.28 The CALGreen Code encourages sustainable construction standards that involve planning/design, energy efficiency, water efficiency resource efficiency, and environmental quality. These green building standard codes are mandatory statewide and are applicable to residential and non-residential developments. The most recent CALGreen Code (2019 California Building Standard Code) was effective as of January 1, 2020.

The California Building Energy Efficiency Standards (California Energy Code) is under Title 24, Part 6 and is overseen by the California Energy Commission (CEC). This code includes design requirements to conserve energy in new residential and non-residential developments, while being cost effective for homeowners. This Energy Code is enforced and verified by cities during the planning and building permit process. The current energy efficiency standards (2019 Energy Code) replaced the 2016 Energy Code as of January 1,2020. Under the 2019 standards, single-family homes are predicted to be 53 percent more efficient than homes built under the 2016 standard due more stringent energy-efficiency standards and mandatory installation of solar photovoltaic 28 See: https://www.dgs.ca.gov/BSC/Resources/Page-Content/Building-Standards-Commission-Resources-ListFolder/CALGreen#:~:text=CALGreen%20is%20the%20first%2Din,to%201990%20levels%20by%202020. 34 systems. For nonresidential developments, it is predicted that these buildings will use 30 percent less energy due to lightening upgrades.29
Federal and Statewide GHG Emissions
The U.S. EPA reported that in 2018, total gross nationwide GHG emissions were 6,676.6 million metric tons (MMT) carbon dioxide equivalent (CO2e).30 These emissions were lower than peak levels of 7,416 MMT that were emitted in 2007. CARB updates the statewide GHG emission inventory on an annual basis where the latest inventory includes 2000 through 2017 emissions.31 In 2017, GHG emissions from statewide emitting activities were 424 MMT. The 2017 emissions have decreased by 14 percent since peak levels in 2004 and are 7 MMT below the 1990 emissions level and the State’s 2020 GHG limit. Per capita GHG emissions in California have dropped from a 2001 peak of 14.1 MT per person to 10.7 MT per person in 2017. The most recent Bay Area emission inventory was computed for the year 2011.32 The Bay Area GHG emission were 87 MMT. As a point of comparison, statewide emissions were about 444 MMT in 2011 South San Francisco Climate Action Plan
The purpose of the City of South San Francisco’s Climate Action Plan (CAP) is to demonstrate the City of South San Francisco’s commitment to reduce GHG emissions while protecting the unique resources of the community. The CAP is intended to build upon existing environmental preservation, public health, and energy-saving efforts. The CAP provides goals, policies, and programs to reduce GHG emissions, adapt to climate change, and support the goals of AB 32 and SB 375. On February 13, 2014, the City adopted the CAP which follows both the State and BAAQMD CEQA guidelines of reaching a target reduction of 15% below baseline 2005 GHG emissions levels by 2020. However, the CAP does not have a specific metric ton GHG threshold for project-level construction or operation. For each project, City staff monitor the implementation of the CAP using a Development Review Checklist (Appendix E of the CAP). The checklist is provided as Attachment 6.

BAAQMD GHG Significance Thresholds
The BAAQMD’s CEQA Air Quality Guidelines do not use quantified thresholds for projects that are in a jurisdiction with a qualified GHG reductions plan (i.e., a Climate Action Plan). The plan has to address emissions associated with the period that the project would operate (e.g., beyond year 2020). For quantified emissions, the guidelines recommended a GHG threshold of 1,100 metric tons or 4.6 metric tons (MT) per capita. These thresholds were developed based on meeting 29 See: https://www.energy.ca.gov/sites/default/files/2020-03/Title_24_2019_Building_Standards_FAQ_ada.pdf 30 United States Environmental Protection Agency, 2020. Inventory of U.S. Greenhouse Gas Emissions and Sinks 1990-2018. April. Web: https://www.epa.gov/sites/production/files/2020-04/documents/us-ghg-inventory-2020- main-text.pdf
31 CARB. 2019. 2019 Edition, California Greenhouse Gas Emission Inventory: 2000 – 2017. Web:
https://ww3.arb.ca.gov/cc/inventory/pubs/reports/2000_2017/ghg_inventory_trends_00-17.pdf 32 BAAQMD. 2015. Bay Area Emissions Inventory Summary Report: Greenhouse Gases Base Year 2011. January.

Web: http://www.baaqmd.gov/~/media/files/planning-and-research/emission-inventory/by2011_ghgsummary.pdf accessed Nov. 26, 2019.
35 the 2020 GHG targets set in the scoping plan that addressed AB 32. Development of the project would occur beyond 2020, so a threshold that addresses a future target is appropriate.

Although BAAQMD has not published a quantified threshold for 2030 yet, this assessment uses a bright-line threshold of 660 MT CO2e/year based on the GHG reduction goals of EO B-30-15. The 2030 bright-line threshold is a 40 percent reduction of the 2020 1,100 MT CO2e/year threshold.

Evidence published by the State indicates the AB 32 goal of reducing statewide GHG emissions to 1990 levels was met prior to 2020. Current State plans are to further reduce emissions to 40% below 1990 levels by 2030. Assuming statewide emissions are at 1990 levels or lower in 2020, it would be logical to reduce the BAAQMD-recommended threshold for meeting the AB 32 threshold by 40% to develop a threshold for 2030.

Impact GHG-1: Generate greenhouse gas emissions, either directly or indirectly, that may have a significant impact on the environment?
GHG emissions associated with development of the proposed project would occur over the shortterm from construction activities, consisting primarily of emissions from equipment exhaust and worker and vendor trips. There would also be long-term operational emissions associated with vehicular traffic within the project vicinity, energy and water usage, and solid waste disposal.

Emissions for the proposed project are discussed below and were analyzed using the methodology recommended in the BAAQMD CEQA Air Quality Guidelines and the City’s Climate Action Plan.

CalEEMod Modeling
CalEEMod was used to predict GHG emissions from operation of the site assuming full build-out of the project. The project land use types and size and other project-specific information were input to the model, as described above within the operational period emissions. CalEEMod output is included in Attachment 2.

Service Population Emissions
The project service population is based on the number of employees and is estimated based on 350 square feet per employee. For this project, 350 square feet per employee results in a service population of 842 employees.

Trip Generation Rates
CalEEMod allows the user to enter specific vehicle trip generation rates. Therefore, the projectspecific daily trip generation rate for the project was provided by the applicant.33 Saturday and Sunday trip rates were assumed to be the weekday rate adjusted by multiplying the ratio of the CalEEMod default rates for Saturday and Sunday trips to the default weekday rate. The default trip lengths and trip types specified by CalEEMod were used.

33 Hexagon Transportation Consultants, Inc., Attachment: 580 Dubuque Avenue Trip generation Memo 073021.pdf 36 Construction GHG Emissions
GHG emissions associated with construction were computed at 1,662 MT of CO2e for the total construction period. These are the emissions from on-site operation of construction equipment, vendor and hauling truck trips, and worker trips. Neither the City nor BAAQMD have an adopted threshold of significance for construction-related GHG emissions, though BAAQMD recommends quantifying emissions and disclosing that GHG emissions would occur during construction.

BAAQMD also encourages the incorporation of best management practices to reduce GHG emissions during construction where feasible and applicable.

Operational GHG Emissions
The CalEEMod model, along with the project vehicle trip generation rates, was used to estimate daily emissions associated with operation of the fully-developed site under the proposed project.

The applicant provided annual electricity usage, water usage, and solid waste information. This information was included in the operational CalEEMod model run. As shown in Table 9, net annual GHG emissions resulting from operation of the proposed project are predicted to be 1,976 metric tons (MT) of CO2e in 2025 and 1,880 MT of CO2e in 2030. The service population emission for the year 2024 and 2030 are predicted to be 2.35 and 2.23 MT/CO2e/year/service population, respectively.

The project is subject to the City of South San Francisco’s CAP to meet AB 32 requirements. The implementation of Mitigation Measure GHG-1, which requires the project to use the CAP checklist, would demonstrate the project’s consistency with the City’s CAP.

Table 9. Annual Project GHG Emissions (CO2e) in Metric Tons Source Category Proposed Project
in 2025
Proposed Project
in 2030
Area 0.01 0.01
Energy Consumption 389.09 389.09
Mobile 1,377,99 1,281.99
Solid Waste Generation 11.30 11.30
Water Usage3 197.44 197.44
Total 1,975.82 1,879.82
Significance Threshold 660 MT CO2e/year 660 MT CO2e/year Exceeds bright-line threshold? Yes Yes
Service Population Emissions (MT CO2e/year/service
population 2.35 2.23
Exceeds service population threshold? No No
Mitigation Measure GHG-1: South San Francisco’s CAP Appendix E New Development Checklist or other qualified GHG program in effect, shall be submitted along with any application for the project, demonstrating compliance with all mandatory requirements of the South San Francisco’s CAP Appendix E New Development Checklist, except where an item is not applicable or where a suitable substitution is provided.

37 Impact GHG-2: Conflict with an applicable plan, policy or regulation adopted for the purpose of reducing the emissions of greenhouse gases?
The proposed project would not conflict or otherwise interfere with the statewide GHG reduction measures identified in CARB’s Scoping Plan nor would the project conflict with SB 100 goals.

38 Supporting Documentation
Attachment 1 is the methodology used to compute community risk impacts, including the methods to compute lifetime cancer risk from exposure to project emissions.

Attachment 2 includes the CalEEMod output for project construction and operational criteria air pollutant and GHG emissions. The operational outputs for 2030 uses are also included in this attachment. Also included are any modeling assumptions.

Attachment 3 includes the EMFAC2021 emissions modeling. The input files for these calculations are voluminous and are available upon request in digital format.

Attachment 4 is the construction health risk assessment. This includes the summary of the dispersion modeling and the cancer risk calculations for construction. AERMOD dispersion modeling files for this assessment, which are quite voluminous, are available upon request and would be provided in digital format
Attachment 5 includes the cumulative community risk calculations, modeling results, and health risk calculations from sources affecting the construction MEI and project site receptors.

Attachment 6 includes the checklist from the City of South San Francisco Climate Action Plan.

Attachment 1: Health Risk Calculation Methodology
A health risk assessment (HRA) for exposure to Toxic Air Contaminates (TACs) requires the application of a risk characterization model to the results from the air dispersion model to estimate potential health risk at each sensitive receptor location. The State of California Office of Environmental Health Hazard Assessment (OEHHA) and California Air Resources Board (CARB) develop recommended methods for conducting health risk assessments. The most recent OEHHA risk assessment guidelines were published in February of 2015.34 These guidelines incorporate substantial changes designed to provide for enhanced protection of children, as required by State law, compared to previous published risk assessment guidelines. CARB has provided additional guidance on implementing OEHHA’s recommended methods.35 This HRA used the 2015 OEHHA risk assessment guidelines and CARB guidance. The BAAQMD has adopted recommended procedures for applying the newest OEHHA guidelines as part of Regulation 2, Rule 5: New Source Review of Toxic Air Contaminants.36 Exposure parameters from the OEHHA guidelines and the recent BAAQMD HRA Guidelines were used in this evaluation.

Cancer Risk
Potential increased cancer risk from inhalation of TACs is calculated based on the TAC concentration over the period of exposure, inhalation dose, the TAC cancer potency factor, and an age sensitivity factor to reflect the greater sensitivity of infants and children to cancer causing TACs. The inhalation dose depends on a person’s breathing rate, exposure time and frequency and duration of exposure. These parameters vary depending on the age, or age range, of the persons being exposed and whether the exposure is considered to occur at a residential location or other sensitive receptor location.

The current OEHHA guidance recommends that cancer risk be calculated by age groups to account for different breathing rates and sensitivity to TACs. Specifically, they recommend evaluating risks for the third trimester of pregnancy to age zero, ages zero to less than two (infant exposure), ages two to less than 16 (child exposure), and ages 16 to 70 (adult exposure). Age sensitivity factors (ASFs) associated with the different types of exposure are an ASF of 10 for the third trimester and infant exposures, an ASF of 3 for a child exposure, and an ASF of 1 for an adult exposure. Also associated with each exposure type are different breathing rates, expressed as liters per kilogram of body weight per day (L/kg-day) or liters per kilogram of body weight per 8-hour period for the case of worker or school child exposures. As recommended by the BAAQMD for residential exposures, 95th percentile breathing rates are used for the third trimester and infant exposures, and 80th percentile breathing rates for child and adult exposures. For children at schools and daycare facilities, BAAQMD recommends using the 95th percentile 8-hour breathing rates.

Additionally, CARB and the BAAQMD recommend the use of a residential exposure duration of 34 OEHHA, 2015. Air Toxics Hot Spots Program Risk Assessment Guidelines, The Air Toxics Hot Spots Program Guidance Manual for Preparation of Health Risk Assessments. Office of Environmental Health Hazard Assessment.

February.
35 CARB, 2015. Risk Management Guidance for Stationary Sources of Air Toxics. July 23. 36 BAAQMD, 2016. BAAQMD Air Toxics NSR Program Health Risk Assessment ( HRA) Guidelines. December 2016. 30 years for sources with long-term emissions (e.g., roadways). For workers, assumed to be adults, a 25-year exposure period is recommended by the BAAQMD. For school children a 9-year exposure period is recommended by the BAAQMD.

Under previous OEHHA and BAAQMD HRA guidance, residential receptors are assumed to be at their home 24 hours a day, or 100 percent of the time. In the 2015 Risk Assessment Guidance, OEHHA includes adjustments to exposure duration to account for the fraction of time at home (FAH), which can be less than 100 percent of the time, based on updated population and activity statistics. The FAH factors are age-specific and are: 0.85 for third trimester of pregnancy to less than 2 years old, 0.72 for ages 2 to less than 16 years, and 0.73 for ages 16 to 70 years. Use of the FAH factors is allowed by the BAAQMD if there are no schools in the project vicinity have a cancer risk of one in a million or greater assuming 100 percent exposure (FAH = 1.0).

Functionally, cancer risk is calculated using the following parameters and formulas:

Cancer Risk (per million) = CPF x Inhalation Dose x ASF x ED/AT x FAH x 106 Where:

CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR* x A x (EF/365) x 10-6
Where:

Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
8HrBR = 8-hour breathing rate (L/kg body weight-8 hours) A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
The health risk parameters used in this evaluation are summarized as follows:

Exposure Type  Infant Child Adult
Parameter Age Range  3rd
Trimester
0<2 2 < 16 16 - 30
DPM Cancer Potency Factor (mg/kg-day)-1 1.10E+00 1.10E+00 1.10E+00 1.10E+00 Daily Breathing Rate (L/kg-day) 80th Percentile Rate 273 758 572 261 Daily Breathing Rate (L/kg-day) 95th Percentile Rate 361 1,090 745 335 8-hour Breathing Rate (L/kg-8 hours) 95th Percentile Rate - 1,200 520 240 Inhalation Absorption Factor 1 1 1 1
Averaging Time (years) 70 70 70 70
Exposure Duration (years) 0.25 2 14 14*
Exposure Frequency (days/year) 350 350 350 350*
Age Sensitivity Factor 10 10 3 1
Fraction of Time at Home (FAH) 0.85-1.0 0.85-1.0 0.72-1.0 0.73* * An 8-hour breathing rate (8HrBR) is used for worker and school child exposures.

Non-Cancer Hazards
Non-cancer health risk is usually determined by comparing the predicted level of exposure to a chemical to the level of exposure that is not expected to cause any adverse effects (reference exposure level), even to the most susceptible people. Potential non-cancer health hazards from TAC exposure are expressed in terms of a hazard index (HI), which is the ratio of the TAC concentration to a reference exposure level (REL). OEHHA has defined acceptable concentration levels for contaminants that pose non-cancer health hazards. TAC concentrations below the REL are not expected to cause adverse health impacts, even for sensitive individuals. The total HI is calculated as the sum of the HIs for each TAC evaluated and the total HI is compared to the BAAQMD significance thresholds to determine whether a significant non-cancer health impact from a project would occur.

Typically, for residential projects located near roadways with substantial TAC emissions, the primary TAC of concern with non-cancer health effects is diesel particulate matter (DPM). For DPM, the chronic inhalation REL is 5 micrograms per cubic meter (μg/m3).

Annual PM2.5 Concentrations
While not a TAC, fine particulate matter (PM2.5) has been identified by the BAAQMD as a pollutant with potential non-cancer health effects that should be included when evaluating potential community health impacts under the California Environmental Quality Act (CEQA). The thresholds of significance for PM2.5 (project level and cumulative) are in terms of an increase in the annual average concentration. When considering PM2.5 impacts, the contribution from all sources of PM2.5 emissions should be included. For projects with potential impacts from nearby local roadways, the PM2.5 impacts should include those from vehicle exhaust emissions, PM2.5 generated from vehicle tire and brake wear, and fugitive emissions from re-suspended dust on the roads.

Attachment 2: CalEEMod Modeling Inputs and Outputs
Air Quality/Noise Construction Information Data Request Project Name: 580 Dubuque R&D See Equipment Type TAB for type, horsepower and load factor Project Size 0 Dwelling Units 1.89 total project acres disturbed 0 s.f. residential Pile Driving - YES FOR SHORING ACTIVITIES & MICROPILES AT BOTTOM OF PARKING 0 s.f. retail
273,971 s.f. office/commercial - R&D
Project include on-site GENERATOR during project - YES GENERATOR DURING AS

BACKUP POWER
0 s.f. other, specify: IF YES (if BOTH separate values) --> 156,399 s.f. parking garage 350 spaces Kilowatts/Horsepower: 2800kW 0 s.f. parking structure 0 spaces Fuel Type: DIESEL
Construction Hours 7 am to 3:30 pm
Location in project (Plans Desired if Available):

LOCATION AT GRADE ELEVATION

DO NOT MULTIPLY EQUIPMENT HOURS/DAY BY THE QUANTITY OF EQUIPMENT Quantity Description HP Load Factor Hours/day
Total
Work
Days
Avg.

Hours per
day
HP
Annual
Hours Comments
Demolition Start Date: 2/10/2022 Total phase: 5 Overall Import/Export Volumes End Date: 2/16/2022
1 Concrete/Industrial Saws 81 0.73 8 5 8 2365 Demolition Volume 1 Excavators 158 0.38 8 5 8 2402 Square footage of buildings to be demolished 0 Rubber-Tired Dozers 247 0.4 8 5 8 0 (or total tons to be hauled) 1 Tractors/Loaders/Backhoes 97 0.37 8 5 8 1436 _?_ square feet or Other Equipment? _?_ Hauling volume (tons)
Any pavement demolished and hauled - 112TONS
Site Preparation Start Date: 4/22/2022 Total phase: 4
End Date: 4/27/2022
1 Graders 187 0.41 8 4 8 2453
1 Rubber Tired Dozers 247 0.4 8 4 8 3162
2 Tractors/Loaders/Backhoes 97 0.37 8 4 8 2297
Other Equipment?
Grading / Excavation Start Date: 5/27/2022 Total phase: 48 End Date: 8/2/2022 Soil Hauling Volume
2 Excavators 158 0.38 8 48 8 46111 Export volume = 58,000 cubic yard 1 Graders 187 0.41 8 48 8 29441 Import volume = 0 cubic yards 1 Rubber Tired Dozers 247 0.4 8 48 8 37939
0 Concrete/Industrial Saws 81 0.73 8 48 8 0
2 Tractors/Loaders/Backhoes 97 0.37 8 48 8 27564
Other Equipment?
Trenching/Foundation Start Date: 4/28/2022 Total phase: 140 End Date: 11/9/2022
1 Tractor/Loader/Backhoe 97 0.37 6 140 6 30148
1 Excavators 158 0.38 6 140 6 50434
Other Equipment?
Building - Exterior Start Date: 7/14/2023 Total phase: 140 Cement Trucks -NONE FOR EXTERIOR End Date: 1/25/2024
1 Cranes 231 0.29 10 140 10 93786 ELECTRIC
1 Forklifts 89 0.2 8 140 8 19936 DIESEL
0 Generator Sets 84 0.74 8 140 8 0 TEMPORARY POWER LINES 0 Tractors/Loaders/Backhoes 97 0.37 7 140 7 0
1 Welders 46 0.45 8 140 8 23184
Other Equipment?
Building - Interior/Architectural Coating Start Date: 8/10/2023 Total phase: 136 End Date: 2/15/2024
1 Air Compressors 78 0.48 8 136 8 40735
2 Aerial Lift 62 0.31 8 136 8 41823
Other Equipment?
Paving Start Date: 3/4/2024 Total phase: 45
Start Date: 5/3/2024
1 Cement and Mortar Mixers 9 0.56 8 2 0.4 81
1 Pavers 130 0.42 8 2 0.4 874
1 Paving Equipment 132 0.36 8 2 0.4 760
1 Rollers 80 0.38 8 40 7.1 9728
1 Tractors/Loaders/Backhoes 97 0.37 8 40 7.1 11485
Other Equipment?
Additional Phases - Soil Remediation Start Date: 5/27/2022 Total phase: 48 Start Date: 8/2/2022
1 Soil Remdiation - Excavators 158 0.38 8 48 8 23055 EXPORT - 76,016 cu. yards clean and Class I Class II. IMPORT - 0 cu. yards 1 Soil Remdiation - Tractor/Loader/Backhoe 97 0.37 8 48 8 13782 0 0
0 0
0 0
Additional Phases - Soldier Piles/Micropiles Start Date: 4/22/2022 Total phase: 25 Start Date: 5/26/2022
1 Shoring Soldier Piles/Micropiles - Crane 231 0.29 10 25 10 16748 1 Shoring Soldier Piles/Micropiles - Drill Rig 221 0.50 10 25 10 27625 1 Shoring Soldier Piles/Micropiles - Forklift 89 0.20 10 25 10 4450 1 Shoring Soldier Piles/Micropiles - Temporary Generator for Dewatering 84 0.74 24 540 518.4 805594 Temp Generator for 18Months 24hrs/day 0 0
0 0
0 0
Equipment types listed in "Equipment Types" worksheet tab.

Equipment listed in this sheet is to provide an example of inputs Complete one sheet for each project component It is assumed that water trucks would be used during grading Add or subtract phases and equipment, as appropriate
Modify horsepower or load factor, as appropriate
Complete ALL Portions in Yellow
Asphalt - 200 CUYD
Unmitigated ROG NOX PM10 Exhaust PM2.5 Exhaust  CO2e
Year MT
2022 1.02 2.22 0.11 0.11 388.97
2023 2.13 1.25 0.06 0.06 259.55
2024 0.41 0.11 0.00 0.00 21.93
2022 0.04 0.68 0.03 0.01 401.07
2023 0.04 0.67 0.04 0.01 442.94
2024 0.01 0.22 0.01 0.00 147.67
2022 1.06 2.90 0.14 0.12 790.04
2023 2.18 1.92 0.10 0.07 702.49
2024 0.42 0.32 0.02 0.01 169.60
Tons 3.66 5.15 0.26 0.21 1662.13
Pounds/Workdays
2022 9.13 24.91 1.23 1.03 233
2023 16.67 14.72 0.73 0.57 261
2024 9.41 7.28 0.38 0.21 89
Threshold ‐ lbs/day 54.0 54.0 82.0 54.0
Pounds 35.21 46.92 2.34 1.82 0.00
Average 12.55 17.66 0.88 0.70 0.00 583.00
Threshold ‐ lbs/day 54.0 54.0 82.0 54.0
Unmitigated ROG NOX Total PM10 Total PM2.5
Year
Total 2.34 1.60 1.42 0.40
Total 0.00 0.00 0.00 0.00
Tons/year 2.34 1.60 1.42 0.40
Threshold ‐ Tons/year 10.0 10.0 15.0 10.0
Pounds Per Day 12.81 8.74 7.80 2.18
Threshold ‐ lbs/day 54.0 54.0 82.0 54.0
Category
Project  Existing Project 2030 Existing
Area 0.01 0.00 0.01 0.00
Energy 389.09 0.00 389.09 0.00
Mobile 1377.99 0.00 1281.99 0.00
Waste 11.30 0.00 11.30 0.00
Water 197.44 0.00 197.44 0.00
TOTAL 1975.82 0.00 1879.82 0.00
Net GHG Emissions 1975.82 1879.82
Service Population  842.00
Per Capita Emissions 2.35 2.23
Average Daily Emissions
EMFAC
Construction Equipment
Total Construction Emissions by Year
Workdays
CO2e
Tons
Total Construction Emissions
Average Daily Emissions
Construction Criteria Air Pollutants
Operational Criteria Air Pollutants
Tons
Existing Use Emissions
Total Construction Emissions
Net Annual Operational Emissions
Off-road Equipment - Based on construction worksheet
Off-road Equipment - Based on construction worksheetConstruction Phase - From construction worksheetOff-road Equipment - Crane is ElectricOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheet N2O Intensity (lb/MWhr)
0 1.3 User Entered Comments & Non-Default Data
Project Characteristics - Assume PCELand Use - Estimated roadway and landscaped surfaces - 1 employee/1ksf Utility Company Peninsula Clean EnergyCO2 Intensity (lb/MWhr) 0 CH4 Intensity
(lb/MWhr)
0 Precipitation Freq (Days) 70
Climate Zone 5 Operational Year 2025

1.2 Other Project Characteristics
Urbanization Urban Wind Speed (m/s) 2.2
0 City Park 0.50 Acre 0.00 21,780.00 0
Other Asphalt Surfaces 0.50 Acre 0.00 21,780.00
983
Enclosed Parking with Elevator 350.00 Space 0.00 156,399.00 0 Research & Development 295.00 1000sqft 2.00 295,000.00
580 Dubuque R&D
San Mateo County, Annual

1.0 Project Characteristics1.1 Land Usage
Land Uses Size Metric Lot Acreage Floor Surface Area Population CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 5.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation FuelType Diesel ElectricaltblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00 Table Name Column Name Default Value New Value
tblConstDustMitigation WaterUnpavedRoadVehicleSpeed 0 15 Vehicle Emission Factors - Emfac2021Construction Off-road Equipment Mitigation - All equipment t4i, BMPFleet Mix - Emfac2021Stationary Sources - Emergency Generators and Fire Pumps - 2800 kw Generator = 3,753hp engineStationary Sources - Emergency Generators and Fire Pumps EF - Assume BAAQMD BACT= 0.5NOx 0.02PMOff-road Equipment - Based on construction worksheetTrips and VMT - All trips entered into EMFAC2021Demolition - Based on construction worksheetGrading - Based on construction worksheetVehicle Trips - Trip gen with TDM = 2159/295ksf = 7.32/1.23/0.7 2 Off-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheet - generator seperate overlapping phase CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblConstructionPhase NumDays 2.00 4.00tblConstructionPhase NumDays 2.00 48.00tblConstructionPhase NumDays 4.00 48.00tblConstructionPhase NumDays 10.00 45.00tblConstructionPhase NumDays 200.00 140.00tblConstructionPhase NumDays 20.00 5.00tblConstructionPhase NumDays 10.00 136.00tblConstructionPhase NumDays 200.00 25.00 tblConstEquipMitigation Tier No Change Tier 4 Interim
tblConstructionPhase NumDays 10.00 518.00
tblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 8.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblFleetMix MCY 0.03 0.02tblFleetMix MCY 0.03 0.02tblFleetMix MCY 0.03 0.02tblFleetMix LHD2 6.4120e-003 6.3300e-003tblFleetMix MCY 0.03 0.02tblFleetMix LHD2 6.4120e-003 6.3300e-003tblFleetMix LHD2 6.4120e-003 6.3300e-003tblFleetMix LHD1 0.03 0.03tblFleetMix LHD2 6.4120e-003 6.3300e-003tblFleetMix LHD1 0.03 0.03tblFleetMix LHD1 0.03 0.03tblFleetMix LDT2 0.24 0.28tblFleetMix LHD1 0.03 0.03tblFleetMix LDT2 0.24 0.28tblFleetMix LDT2 0.24 0.28tblFleetMix LDT1 0.07 0.04tblFleetMix LDT2 0.24 0.28tblFleetMix LDT1 0.07 0.04tblFleetMix LDT1 0.07 0.04tblFleetMix LDA 0.47 0.45tblFleetMix LDT1 0.07 0.04tblFleetMix LDA 0.47 0.45tblFleetMix LDA 0.47 0.45tblFleetMix HHD 2.0600e-003 2.5580e-003tblFleetMix LDA 0.47 0.45tblFleetMix HHD 2.0600e-003 2.5580e-003tblFleetMix HHD 2.0600e-003 2.5580e-003 tblConstructionPhase NumDaysWeek 5.00 7.00
tblFleetMix HHD 2.0600e-003 2.5580e-003
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblLandUse LotAcreage 6.77 2.00tblLandUse LotAcreage 3.15 0.00 tblGrading MaterialExported 0.00 76,016.00
tblLandUse LandUseSquareFeet 140,000.00 156,399.00
tblFleetMix UBUS 5.7200e-004 7.4300e-004
tblGrading MaterialExported 0.00 58,000.00
tblFleetMix UBUS 5.7200e-004 7.4300e-004tblFleetMix UBUS 5.7200e-004 7.4300e-004tblFleetMix SBUS 4.3200e-004 4.1800e-004tblFleetMix UBUS 5.7200e-004 7.4300e-004tblFleetMix SBUS 4.3200e-004 4.1800e-004tblFleetMix SBUS 4.3200e-004 4.1800e-004tblFleetMix OBUS 1.4460e-003 2.3100e-003tblFleetMix SBUS 4.3200e-004 4.1800e-004tblFleetMix OBUS 1.4460e-003 2.3100e-003tblFleetMix OBUS 1.4460e-003 2.3100e-003tblFleetMix MHD 0.01 8.7430e-003tblFleetMix OBUS 1.4460e-003 2.3100e-003tblFleetMix MHD 0.01 8.7430e-003tblFleetMix MHD 0.01 8.7430e-003tblFleetMix MH 2.6570e-003 2.0400e-003tblFleetMix MHD 0.01 8.7430e-003tblFleetMix MH 2.6570e-003 2.0400e-003tblFleetMix MH 2.6570e-003 2.0400e-003tblFleetMix MDV 0.15 0.16tblFleetMix MH 2.6570e-003 2.0400e-003tblFleetMix MDV 0.15 0.16tblFleetMix MDV 0.15 0.16tblFleetMix MDV 0.15 0.16 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblOffRoadEquipment UsageHours 8.00 7.10tblOffRoadEquipment UsageHours 7.00 8.00tblOffRoadEquipment UsageHours 7.00 8.00tblOffRoadEquipment UsageHours 8.00 0.40tblOffRoadEquipment UsageHours 7.00 7.10tblOffRoadEquipment UsageHours 8.00 0.00tblOffRoadEquipment UsageHours 6.00 0.40tblOffRoadEquipment UsageHours 6.00 10.00tblOffRoadEquipment UsageHours 6.00 8.00tblOffRoadEquipment UsageHours 6.00 10.00tblOffRoadEquipment UsageHours 6.00 0.00tblOffRoadEquipment UsageHours 6.00 8.00tblOffRoadEquipment UsageHours 6.00 0.40tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 1.00tblOffRoadEquipment UsageHours 6.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 2.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 1.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00 tblLandUse Population 0.00 983.00
tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00 tblLandUse LotAcreage 0.50 0.00tblLandUse LotAcreage 0.50 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF HHD 0.28 0.28tblVehicleEF HHD 0.15 0.13tblVehicleEF HHD 931.63 768.77tblVehicleEF HHD 1,585.25 1,745.93tblVehicleEF HHD 0.95 1.65tblVehicleEF HHD 0.03 0.03tblVehicleEF HHD 3.0000e-006 1.0000e-006tblVehicleEF HHD 5.29 4.67tblVehicleEF HHD 0.03 0.27tblVehicleEF HHD 0.18 0.25 tblTripsAndVMT WorkerTripNumber 178.00 0.00tblTripsAndVMT WorkerTripNumber 36.00 0.00tblTripsAndVMT WorkerTripNumber 5.00 0.00tblTripsAndVMT WorkerTripNumber 15.00 0.00tblTripsAndVMT WorkerTripNumber 36.00 0.00tblTripsAndVMT WorkerTripNumber 5.00 0.00tblTripsAndVMT WorkerTripNumber 10.00 0.00tblTripsAndVMT WorkerTripNumber 178.00 0.00tblTripsAndVMT WorkerTripNumber 8.00 0.00tblTripsAndVMT WorkerTripNumber 13.00 0.00tblTripsAndVMT VendorTripNumber 81.00 0.00tblTripsAndVMT VendorTripNumber 81.00 0.00tblTripsAndVMT HaulingTripNumber 9,502.00 0.00tblTripsAndVMT HaulingTripNumber 7,250.00 0.00 tblStationaryGeneratorsPumpsUse NumberOfEquipment 0.00 1.00 tblTripsAndVMT HaulingTripNumber 11.00 0.00
tblStationaryGeneratorsPumpsUse HoursPerDay 0.00 1.00tblStationaryGeneratorsPumpsUse HoursPerYear 0.00 50.00tblStationaryGeneratorsPumpsUse HorsePowerValue 0.00 3,753.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF HHD 0.21 0.29tblVehicleEF HHD 0.42 0.58tblVehicleEF HHD 3.0000e-006 0.00tblVehicleEF HHD 4.0000e-006 5.8500e-004tblVehicleEF HHD 2.0300e-004 1.7500e-004tblVehicleEF HHD 8.3030e-003 6.3920e-003tblVehicleEF HHD 0.01 0.02tblVehicleEF HHD 9.4000e-005 1.3050e-003tblVehicleEF HHD 1.4000e-005 3.0000e-006tblVehicleEF HHD 3.0000e-006 0.00tblVehicleEF HHD 0.03 0.03tblVehicleEF HHD 2.0300e-004 1.7500e-004tblVehicleEF HHD 0.36 0.29tblVehicleEF HHD 2.0000e-006 4.0000e-006tblVehicleEF HHD 4.0000e-006 5.8500e-004tblVehicleEF HHD 8.7190e-003 8.6260e-003tblVehicleEF HHD 0.02 0.02tblVehicleEF HHD 3.5840e-003 2.8900e-003tblVehicleEF HHD 0.03 0.03tblVehicleEF HHD 0.02 0.02tblVehicleEF HHD 2.0000e-006 4.0000e-006tblVehicleEF HHD 0.06 0.09tblVehicleEF HHD 0.03 0.03tblVehicleEF HHD 2.40 2.74tblVehicleEF HHD 3.7460e-003 3.0270e-003tblVehicleEF HHD 5.24 3.95tblVehicleEF HHD 3.05 2.50tblVehicleEF HHD 0.26 0.28tblVehicleEF HHD 3.0000e-006 1.0000e-006 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDA 0.08 0.07tblVehicleEF LDA 0.03 0.00tblVehicleEF LDA 4.7100e-004 6.1800e-004tblVehicleEF LDA 0.03 0.24tblVehicleEF LDA 0.17 0.27tblVehicleEF LDA 2.2060e-003 2.3710e-003tblVehicleEF LDA 5.0920e-003 6.1730e-003tblVehicleEF LDA 0.03 0.19tblVehicleEF LDA 0.08 0.07tblVehicleEF LDA 0.03 0.00tblVehicleEF LDA 1.4870e-003 1.7590e-003tblVehicleEF LDA 0.03 0.24tblVehicleEF LDA 0.02 2.2400e-003tblVehicleEF LDA 1.1050e-003 1.0250e-003tblVehicleEF LDA 1.2000e-003 1.1140e-003tblVehicleEF LDA 1.6180e-003 1.9130e-003tblVehicleEF LDA 0.15 0.21tblVehicleEF LDA 0.04 6.3990e-003tblVehicleEF LDA 0.02 0.03tblVehicleEF LDA 0.02 0.03tblVehicleEF LDA 47.59 62.52tblVehicleEF LDA 3.5080e-003 3.5780e-003tblVehicleEF LDA 2.01 2.73tblVehicleEF LDA 223.03 239.85tblVehicleEF LDA 0.04 0.06tblVehicleEF LDA 0.46 0.53tblVehicleEF HHD 1.6000e-005 3.0000e-006tblVehicleEF LDA 1.3630e-003 1.6200e-003tblVehicleEF HHD 9.4000e-005 1.3050e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDT1 0.09 0.12tblVehicleEF LDT1 5.5600e-004 8.0200e-004tblVehicleEF LDT1 0.04 0.42tblVehicleEF LDT1 0.20 0.42tblVehicleEF LDT1 2.6060e-003 3.0840e-003tblVehicleEF LDT1 8.5960e-003 0.02tblVehicleEF LDT1 0.06 0.34tblVehicleEF LDT1 0.09 0.12tblVehicleEF LDT1 0.04 0.00tblVehicleEF LDT1 1.7340e-003 2.2750e-003tblVehicleEF LDT1 0.04 0.42tblVehicleEF LDT1 0.02 2.8060e-003tblVehicleEF LDT1 1.3090e-003 1.4400e-003tblVehicleEF LDT1 1.4220e-003 1.5650e-003tblVehicleEF LDT1 1.8860e-003 2.4740e-003tblVehicleEF LDT1 0.17 0.31tblVehicleEF LDT1 0.04 8.0170e-003tblVehicleEF LDT1 0.02 0.03tblVehicleEF LDT1 0.04 0.09tblVehicleEF LDT1 56.19 81.09tblVehicleEF LDT1 4.1590e-003 6.8480e-003tblVehicleEF LDT1 2.12 4.22tblVehicleEF LDT1 263.34 311.98tblVehicleEF LDT1 0.04 0.08tblVehicleEF LDT1 0.59 0.99tblVehicleEF LDA 0.19 0.30tblVehicleEF LDT1 2.1260e-003 4.1000e-003tblVehicleEF LDA 7.4000e-003 8.9940e-003tblVehicleEF LDA 0.03 0.19 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDT2 5.8500e-004 8.0100e-004tblVehicleEF LDT2 0.03 0.19tblVehicleEF LDT2 0.22 0.29tblVehicleEF LDT2 2.7230e-003 3.1690e-003tblVehicleEF LDT2 7.4300e-003 7.2480e-003tblVehicleEF LDT2 0.05 0.14tblVehicleEF LDT2 0.07 0.06tblVehicleEF LDT2 0.04 0.00tblVehicleEF LDT2 1.5500e-003 1.7940e-003tblVehicleEF LDT2 0.03 0.19tblVehicleEF LDT2 0.02 2.6940e-003tblVehicleEF LDT2 1.2010e-003 1.1020e-003tblVehicleEF LDT2 1.3050e-003 1.1980e-003tblVehicleEF LDT2 1.6860e-003 1.9510e-003tblVehicleEF LDT2 0.19 0.25tblVehicleEF LDT2 0.04 7.6970e-003tblVehicleEF LDT2 0.02 0.03tblVehicleEF LDT2 0.04 0.04tblVehicleEF LDT2 59.15 81.06tblVehicleEF LDT2 4.2420e-003 4.4170e-003tblVehicleEF LDT2 2.52 3.01tblVehicleEF LDT2 275.26 320.59tblVehicleEF LDT2 0.05 0.07tblVehicleEF LDT2 0.56 0.60tblVehicleEF LDT1 0.22 0.46tblVehicleEF LDT2 1.9400e-003 1.9300e-003tblVehicleEF LDT1 0.01 0.03tblVehicleEF LDT1 0.06 0.34tblVehicleEF LDT1 0.04 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD1 6.6990e-003 8.1840e-003tblVehicleEF LHD1 0.03 0.03tblVehicleEF LHD1 2.4500e-003 2.3260e-003tblVehicleEF LHD1 2.2400e-004 1.6500e-004tblVehicleEF LHD1 8.1600e-004 5.9200e-004tblVehicleEF LHD1 9.7990e-003 9.3030e-003tblVehicleEF LHD1 7.0500e-003 8.5920e-003tblVehicleEF LHD1 8.5300e-004 6.1900e-004tblVehicleEF LHD1 0.08 0.08tblVehicleEF LHD1 0.34 0.35tblVehicleEF LHD1 0.26 0.39tblVehicleEF LHD1 0.02 0.03tblVehicleEF LHD1 0.05 0.04tblVehicleEF LHD1 7.2100e-004 5.7300e-004tblVehicleEF LHD1 0.04 0.04tblVehicleEF LHD1 751.95 745.68tblVehicleEF LHD1 11.12 18.86tblVehicleEF LHD1 0.97 2.39tblVehicleEF LHD1 8.57 8.29tblVehicleEF LHD1 0.18 0.20tblVehicleEF LHD1 0.51 0.68tblVehicleEF LHD1 5.8360e-003 5.0980e-003tblVehicleEF LHD1 0.01 0.02tblVehicleEF LDT2 0.24 0.32tblVehicleEF LHD1 4.6830e-003 5.0900e-003tblVehicleEF LDT2 0.01 0.01tblVehicleEF LDT2 0.05 0.14tblVehicleEF LDT2 0.07 0.06tblVehicleEF LDT2 0.04 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD2 1.6500e-003 1.5680e-003tblVehicleEF LHD2 0.06 0.08tblVehicleEF LHD2 728.51 785.97tblVehicleEF LHD2 7.48 10.02tblVehicleEF LHD2 0.57 1.33tblVehicleEF LHD2 13.29 13.09tblVehicleEF LHD2 0.14 0.14tblVehicleEF LHD2 0.46 0.43tblVehicleEF LHD2 5.4660e-003 4.9480e-003tblVehicleEF LHD2 5.9890e-003 0.01tblVehicleEF LHD1 0.06 0.10tblVehicleEF LHD2 2.8930e-003 2.9140e-003tblVehicleEF LHD1 0.09 0.07tblVehicleEF LHD1 0.14 0.12tblVehicleEF LHD1 0.03 0.03tblVehicleEF LHD1 6.9000e-004 0.00tblVehicleEF LHD1 1.0710e-003 0.08tblVehicleEF LHD1 0.05 0.02tblVehicleEF LHD1 7.3400e-003 7.2890e-003tblVehicleEF LHD1 1.1000e-004 1.8600e-004tblVehicleEF LHD1 0.05 0.09tblVehicleEF LHD1 8.3000e-005 8.1000e-005tblVehicleEF LHD1 0.07 0.06tblVehicleEF LHD1 0.14 0.12tblVehicleEF LHD1 0.02 0.02tblVehicleEF LHD1 6.9000e-004 0.00tblVehicleEF LHD1 1.0710e-003 0.08tblVehicleEF LHD1 0.05 0.02tblVehicleEF LHD1 2.0600e-004 1.5100e-004 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD2 0.11 0.10tblVehicleEF LHD2 0.02 0.02tblVehicleEF LHD2 3.7300e-004 0.00tblVehicleEF LHD2 5.6800e-004 0.05tblVehicleEF LHD2 0.03 0.01tblVehicleEF LHD2 7.0360e-003 7.5740e-003tblVehicleEF LHD2 7.4000e-005 9.9000e-005tblVehicleEF LHD2 0.03 0.05tblVehicleEF LHD2 1.2700e-004 1.2600e-004tblVehicleEF LHD2 0.09 0.08tblVehicleEF LHD2 0.07 0.07tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 3.7300e-004 0.00tblVehicleEF LHD2 5.6800e-004 0.05tblVehicleEF LHD2 0.03 0.01tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 1.1000e-004 7.4000e-005tblVehicleEF LHD2 0.04 0.03tblVehicleEF LHD2 2.6890e-003 2.6520e-003tblVehicleEF LHD2 1.2000e-004 8.0000e-005tblVehicleEF LHD2 1.3530e-003 1.2780e-003tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 1.4140e-003 1.3360e-003tblVehicleEF LHD2 0.09 0.09tblVehicleEF LHD2 0.37 0.47tblVehicleEF LHD2 0.15 0.22tblVehicleEF LHD2 0.01 0.02tblVehicleEF LHD2 0.08 0.07 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MCY 0.51 3.55tblVehicleEF MCY 0.35 0.00tblVehicleEF MCY 5.9200e-004 4.4100e-004tblVehicleEF MCY 0.60 0.07tblVehicleEF MCY 1.93 1.22tblVehicleEF MCY 2.1060e-003 1.8430e-003tblVehicleEF MCY 2.17 0.89tblVehicleEF MCY 0.41 3.70tblVehicleEF MCY 0.51 3.55tblVehicleEF MCY 0.35 0.00tblVehicleEF MCY 2.9050e-003 3.4890e-003tblVehicleEF MCY 0.60 3.15tblVehicleEF MCY 5.0400e-003 4.2000e-003tblVehicleEF MCY 2.0130e-003 1.8970e-003tblVehicleEF MCY 2.1570e-003 2.0310e-003tblVehicleEF MCY 3.1010e-003 3.7190e-003tblVehicleEF MCY 0.27 0.12tblVehicleEF MCY 0.01 0.01tblVehicleEF MCY 0.02 7.1110e-003tblVehicleEF MCY 1.15 0.51tblVehicleEF MCY 59.80 44.64tblVehicleEF MCY 0.07 0.04tblVehicleEF MCY 9.27 7.69tblVehicleEF MCY 212.79 186.43tblVehicleEF MCY 0.26 0.17tblVehicleEF MCY 18.30 10.67tblVehicleEF LHD2 0.03 0.06tblVehicleEF MCY 0.33 0.14tblVehicleEF LHD2 0.07 0.07 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MDV 0.08 0.06tblVehicleEF MDV 6.9200e-004 9.5300e-004tblVehicleEF MDV 0.04 0.21tblVehicleEF MDV 0.25 0.34tblVehicleEF MDV 3.2660e-003 3.7910e-003tblVehicleEF MDV 7.6550e-003 8.4160e-003tblVehicleEF MDV 0.05 0.16tblVehicleEF MDV 0.08 0.06tblVehicleEF MDV 0.04 0.00tblVehicleEF MDV 1.5550e-003 1.8070e-003tblVehicleEF MDV 0.04 0.21tblVehicleEF MDV 0.02 2.7040e-003tblVehicleEF MDV 1.2140e-003 1.1080e-003tblVehicleEF MDV 1.3170e-003 1.2030e-003tblVehicleEF MDV 1.6910e-003 1.9650e-003tblVehicleEF MDV 0.21 0.29tblVehicleEF MDV 0.04 7.7240e-003tblVehicleEF MDV 0.03 0.03tblVehicleEF MDV 0.04 0.05tblVehicleEF MDV 69.96 96.40tblVehicleEF MDV 5.5310e-003 5.3350e-003tblVehicleEF MDV 2.62 3.10tblVehicleEF MDV 330.48 383.68tblVehicleEF MDV 0.05 0.07tblVehicleEF MDV 0.55 0.62tblVehicleEF MCY 2.10 1.33tblVehicleEF MDV 1.9550e-003 2.1320e-003tblVehicleEF MCY 2.71 1.08tblVehicleEF MCY 0.41 3.70 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MH 0.08 0.10tblVehicleEF MH 0.01 0.02tblVehicleEF MH 0.04 0.06tblVehicleEF MH 5.8350e-003 0.14tblVehicleEF MH 0.02 5.78tblVehicleEF MH 0.11 0.00tblVehicleEF MH 2.2300e-004 2.7200e-004tblVehicleEF MH 0.25 21.03tblVehicleEF MH 3.2800e-003 3.3240e-003tblVehicleEF MH 0.01 0.02tblVehicleEF MH 2.4300e-004 2.9600e-004tblVehicleEF MH 0.06 0.02tblVehicleEF MH 0.01 0.01tblVehicleEF MH 0.01 0.02tblVehicleEF MH 0.23 0.27tblVehicleEF MH 0.13 0.04tblVehicleEF MH 0.03 0.03tblVehicleEF MH 0.92 1.15tblVehicleEF MH 16.60 21.42tblVehicleEF MH 0.05 0.07tblVehicleEF MH 1.78 2.27tblVehicleEF MH 1,419.69 1,667.34tblVehicleEF MH 0.02 0.02tblVehicleEF MH 0.42 0.70tblVehicleEF MDV 0.27 0.38tblVehicleEF MH 5.5960e-003 8.1070e-003tblVehicleEF MDV 0.01 0.01tblVehicleEF MDV 0.05 0.16tblVehicleEF MDV 0.04 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MHD 5.9280e-003 0.01tblVehicleEF MHD 2.3000e-004 1.7260e-003tblVehicleEF MHD 0.06 0.02tblVehicleEF MHD 6.2030e-003 0.01tblVehicleEF MHD 1.1800e-004 1.3100e-004tblVehicleEF MHD 2.4000e-004 1.8050e-003tblVehicleEF MHD 0.13 0.05tblVehicleEF MHD 1.30 0.99tblVehicleEF MHD 1.66 1.31tblVehicleEF MHD 8.1610e-003 8.0710e-003tblVehicleEF MHD 0.34 0.82tblVehicleEF MHD 8.7820e-003 0.02tblVehicleEF MHD 0.13 0.14tblVehicleEF MHD 1,043.81 1,250.18tblVehicleEF MHD 9.62 10.56tblVehicleEF MHD 1.06 1.26tblVehicleEF MHD 61.97 147.67tblVehicleEF MHD 0.38 0.67tblVehicleEF MHD 0.19 0.33tblVehicleEF MHD 1.4090e-003 0.01tblVehicleEF MHD 9.5150e-003 0.01tblVehicleEF MH 0.09 0.11tblVehicleEF MHD 3.9340e-003 0.01tblVehicleEF MH 0.05 0.07tblVehicleEF MH 5.8350e-003 0.14tblVehicleEF MH 0.02 5.78tblVehicleEF MH 0.11 0.00tblVehicleEF MH 1.6400e-004 2.1200e-004tblVehicleEF MH 0.25 21.03 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF OBUS 0.01 0.01tblVehicleEF OBUS 0.13 0.17tblVehicleEF OBUS 1,286.62 1,296.63tblVehicleEF OBUS 12.91 9.34tblVehicleEF OBUS 1.48 1.05tblVehicleEF OBUS 103.58 90.16tblVehicleEF OBUS 0.63 0.49tblVehicleEF OBUS 0.31 0.22tblVehicleEF OBUS 2.5540e-003 7.1970e-003tblVehicleEF OBUS 0.01 0.01tblVehicleEF MHD 0.05 0.06tblVehicleEF OBUS 6.7000e-003 6.5670e-003tblVehicleEF MHD 0.02 0.05tblVehicleEF MHD 0.02 0.05tblVehicleEF MHD 0.03 0.05tblVehicleEF MHD 1.7600e-004 0.00tblVehicleEF MHD 2.6600e-004 0.02tblVehicleEF MHD 0.02 6.3670e-003tblVehicleEF MHD 9.9640e-003 0.01tblVehicleEF MHD 9.5000e-005 1.0400e-004tblVehicleEF MHD 0.05 0.06tblVehicleEF MHD 5.8900e-004 1.3680e-003tblVehicleEF MHD 0.01 0.04tblVehicleEF MHD 0.02 0.05tblVehicleEF MHD 0.02 0.03tblVehicleEF MHD 1.7600e-004 0.00tblVehicleEF MHD 2.6600e-004 0.02tblVehicleEF MHD 0.02 6.3670e-003tblVehicleEF MHD 1.0900e-004 1.2000e-004 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF OBUS 0.08 0.06tblVehicleEF OBUS 0.02 0.03tblVehicleEF OBUS 0.03 0.04tblVehicleEF OBUS 0.06 0.04tblVehicleEF OBUS 4.0100e-004 0.00tblVehicleEF OBUS 7.6700e-004 0.03tblVehicleEF OBUS 0.01 8.1250e-003tblVehicleEF OBUS 0.01 0.01tblVehicleEF OBUS 1.2800e-004 9.2000e-005tblVehicleEF OBUS 0.07 0.05tblVehicleEF OBUS 9.8300e-004 8.5000e-004tblVehicleEF OBUS 0.02 0.02tblVehicleEF OBUS 0.03 0.04tblVehicleEF OBUS 0.05 0.03tblVehicleEF OBUS 4.0100e-004 0.00tblVehicleEF OBUS 7.6700e-004 0.03tblVehicleEF OBUS 0.01 8.1250e-003tblVehicleEF OBUS 7.3130e-003 7.9280e-003tblVehicleEF OBUS 1.3300e-004 9.1000e-005tblVehicleEF OBUS 1.3700e-004 2.2300e-004tblVehicleEF OBUS 0.06 0.02tblVehicleEF OBUS 7.6570e-003 8.2930e-003tblVehicleEF OBUS 1.4400e-004 9.9000e-005tblVehicleEF OBUS 1.4300e-004 2.3300e-004tblVehicleEF OBUS 0.13 0.05tblVehicleEF OBUS 1.48 0.72tblVehicleEF OBUS 1.21 1.13tblVehicleEF OBUS 0.01 9.8750e-003tblVehicleEF OBUS 0.44 0.39 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF SBUS 0.48 0.28tblVehicleEF SBUS 3.3200e-004 0.00tblVehicleEF SBUS 6.7200e-004 0.05tblVehicleEF SBUS 8.3910e-003 0.01tblVehicleEF SBUS 0.02 0.01tblVehicleEF SBUS 1.1900e-004 7.3000e-005tblVehicleEF SBUS 0.32 0.02tblVehicleEF SBUS 2.5240e-003 2.5140e-003tblVehicleEF SBUS 1.3000e-004 7.9000e-005tblVehicleEF SBUS 3.3050e-003 1.3170e-003tblVehicleEF SBUS 0.01 0.01tblVehicleEF SBUS 0.02 0.01tblVehicleEF SBUS 3.4540e-003 1.3780e-003tblVehicleEF SBUS 0.74 0.04tblVehicleEF SBUS 4.12 2.53tblVehicleEF SBUS 0.74 0.47tblVehicleEF SBUS 8.1850e-003 5.6650e-003tblVehicleEF SBUS 3.13 1.37tblVehicleEF SBUS 0.05 0.02tblVehicleEF SBUS 0.10 0.11tblVehicleEF SBUS 971.83 958.41tblVehicleEF SBUS 8.11 6.00tblVehicleEF SBUS 1.56 1.23tblVehicleEF SBUS 367.56 204.35tblVehicleEF SBUS 4.01 2.38tblVehicleEF SBUS 0.80 1.39tblVehicleEF SBUS 8.8090e-003 0.08tblVehicleEF SBUS 0.01 8.5690e-003tblVehicleEF SBUS 0.11 0.10 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF UBUS 7.8010e-003 0.01tblVehicleEF UBUS 5.3000e-005 2.3000e-005tblVehicleEF UBUS 0.03 0.05tblVehicleEF UBUS 0.03 0.05tblVehicleEF UBUS 4.9940e-003 4.6870e-003tblVehicleEF UBUS 0.10 0.07tblVehicleEF UBUS 0.08 0.14tblVehicleEF UBUS 7.3110e-003 9.5510e-003tblVehicleEF UBUS 0.69 0.25tblVehicleEF UBUS 9.21 5.58tblVehicleEF UBUS 0.26 0.16tblVehicleEF UBUS 0.83 0.87tblVehicleEF UBUS 1,603.69 1,061.97tblVehicleEF UBUS 0.01 6.4140e-003tblVehicleEF UBUS 11.42 6.30tblVehicleEF SBUS 0.06 0.05tblVehicleEF UBUS 1.52 0.55tblVehicleEF SBUS 0.11 0.17tblVehicleEF SBUS 0.01 0.04tblVehicleEF SBUS 0.70 0.44tblVehicleEF SBUS 3.3200e-004 0.00tblVehicleEF SBUS 6.7200e-004 0.05tblVehicleEF SBUS 8.3910e-003 0.01tblVehicleEF SBUS 9.3510e-003 8.9820e-003tblVehicleEF SBUS 8.0000e-005 5.9000e-005tblVehicleEF SBUS 0.06 0.05tblVehicleEF SBUS 3.5190e-003 1.8720e-003tblVehicleEF SBUS 0.09 0.07tblVehicleEF SBUS 0.01 0.04 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

2.1 Overall Construction
Unmitigated Construction
tblVehicleTrips WD_TR 11.26 7.32

2.0 Emissions Summary
tblVehicleTrips SU_TR 1.11 0.72tblVehicleTrips WD_TR 0.78 0.00tblVehicleTrips ST_TR 1.90 1.23tblVehicleTrips SU_TR 2.19 0.00 tblVehicleEF UBUS 0.07 0.03
tblVehicleTrips ST_TR 1.96 0.00
tblVehicleEF UBUS 1.55 0.61tblVehicleEF UBUS 4.4160e-003 0.02tblVehicleEF UBUS 0.01 8.0370e-003tblVehicleEF UBUS 4.9700e-004 0.00tblVehicleEF UBUS 9.1000e-005 5.5000e-005tblVehicleEF UBUS 6.3800e-004 0.02tblVehicleEF UBUS 0.06 0.02tblVehicleEF UBUS 0.01 8.5230e-003tblVehicleEF UBUS 0.02 0.05tblVehicleEF UBUS 4.4160e-003 0.02tblVehicleEF UBUS 0.01 8.0370e-003tblVehicleEF UBUS 4.9700e-004 0.00tblVehicleEF UBUS 4.9000e-005 2.1000e-005tblVehicleEF UBUS 6.3800e-004 0.02tblVehicleEF UBUS 4.7760e-003 4.4790e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

2.97 0.00 1.19
N20 CO2e
Percent
Reduction

7.62 19.32 -10.42 1.16 55.00 89.33 71.36 55.00 89.07 77.31 0.00 1.19 1.19 PM2.5
Total
Fugitive Bio- CO2 NBio-CO2 Total CO2 CH4
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
ROG NOx CO SO2
379.4492 379.4492 0.0614 0.0000 380.9833

5.4900e003 0.0000 21.9297
Maximum 2.0408 1.6619 2.8282 4.4000e-003 0.0868 9.0300e003 0.0959 0.0407 9.0300e- 003 0.0497 0.0000

1.6000e003 2.5000e-004 0.0000 1.6000e- 1.6000e-003 0.0000 21.7925 21.7925 003 2024 0.3992 0.1104 0.1788 1.6000e-003 0.0000 259.1343 259.1343 0.0167 0.0000 259.5523

0.0614 0.0000 380.9833
2023 2.0408 1.1184 1.8848 3.0200e-003 0.0000 8.1200e003 8.1200e-003 0.0000 8.1200e- 003 8.1200e-003 0.0000

9.0300e003 4.4000e-003 0.0868 9.0300e- 0.0497 0.0000 379.4492 379.4492 003 2022 0.8501 1.6619 2.8282 0.0959 0.0407 N2O CO2e
Year tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
387.3709 387.3709 0.0639 0.0000 388.9691

5.4900e003 0.0000 21.9298
Maximum 2.1341 2.2195 2.5288 4.4900e-003 0.1929 0.1107 0.3036 0.0904 0.1069 0.1973 0.0000

4.5400e003 2.5000e-004 0.0000 4.8200e- 4.5400e-003 0.0000 21.7925 21.7925 003 2024 0.4054 0.1089 0.1663 4.8200e-003 0.0000 259.1346 259.1346 0.0167 0.0000 259.5526

0.0639 0.0000 388.9691
2023 2.1341 1.2545 1.7352 3.0200e-003 0.0000 0.0602 0.0602 0.0000 0.0601 0.0601 0.0000 2022 1.0222 2.2195 2.5288 4.4900e-003 0.1929 0.1107 0.3036 0.0904 0.1069 0.1973 0.0000 387.3709 387.3709 N2O CO2e
Year tons/yr MT/yr
ROG NOx CO SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4 PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Total 2.3380 1.5954 6.4015 0.0176 1.3653 0.0586 1.4238 0.3403 0.0579 0.3982 50.5768 1,818.5323 1,869.1091 5.0779 0.1727 2,047.5253

0.0000 46.0176 4.7265 0.1116 197.4361

0.2694 0.0000 11.2952
Water 0.0000 0.0000 0.0000 0.0000 46.0176
Waste 0.0000 0.0000 0.0000 0.0000 4.5592 0.0000 4.5592

71.4566 71.4566 0.0100 0.0000 71.7071

0.0645 0.0540 1,377.9873
Stationary 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000

8.2600e003 0.0148 1.3653 8.8800e- 0.3485 0.0000 1,360.2753 1,360.2753 003 Mobile 0.8230 0.5515 5.7045 1.3742 0.3403 386.7889 386.7889 7.4100e003 7.0900e-003 389.0874

3.0000e005 0.0000 0.0123
Energy 0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Area 1.3219 5.0000e-005 5.9200e- 2.0000e-005 003 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

2.2 Overall Operational
Unmitigated Operational
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Highest 1.5725 1.1647
9 2-10-2024 5-9-2024 0.1235 0.11228 11-10-2023 2-9-2024 0.8620 0.87487 8-10-2023 11-9-2023 1.1935 1.16476 5-10-2023 8-9-2023 0.7049 0.62025 2-10-2023 5-9-2023 0.6819 0.60004 11-10-2022 2-9-2023 0.8021 0.68653 8-10-2022 11-9-2022 0.9277 0.79222 5-10-2022 8-9-2022 1.5725 1.13911 2-10-2022 5-9-2022 0.2808 0.1910 Quarter Start Date End Date Maximum Unmitigated ROG + NOX (tons/quarter) Maximum Mitigated ROG + NOX (tons/quarter) CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Start Date End Date Num Days
Week
Num Days Phase Description

3.0 Construction Detail
Construction Phase
Phase
Number
Phase Name Phase Type

0.00 0.00 0.00 0.00 0.00
Total CO2 CH4 N20 CO2e
Percent
Reduction

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

5.0779 0.1727 2,047.5253
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2 NBio-CO2
Total 2.3380 1.5954 6.4015 0.0176 1.3653 0.0586 1.4238 0.3403 0.0579 0.3982 50.5768 1,818.5323 1,869.1091

0.0000 46.0176 4.7265 0.1116 197.4361

0.2694 0.0000 11.2952
Water 0.0000 0.0000 0.0000 0.0000 46.0176
Waste 0.0000 0.0000 0.0000 0.0000 4.5592 0.0000 4.5592

71.4566 71.4566 0.0100 0.0000 71.7071

0.0645 0.0540 1,377.9873
Stationary 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000

8.2600e003 0.0148 1.3653 8.8800e- 0.3485 0.0000 1,360.2753 1,360.2753 003 Mobile 0.8230 0.5515 5.7045 1.3742 0.3403 386.7889 386.7889 7.4100e003 7.0900e-003 389.0874

3.0000e005 0.0000 0.0123
Energy 0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Area 1.3219 5.0000e-005 5.9200e- 2.0000e-005 003 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
Mitigated Operational
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Soldier Piles/Micropiles Forklifts 1 10.00 89 0.20

0.50 Soldier Piles/Micropiles Cranes 1 10.00 231 0.29Soldier Piles/Micropiles Bore/Drill Rigs 1 10.00 221

0.40 Site Preparation Tractors/Loaders/Backhoes 2 8.00 97 0.37Site Preparation Rubber Tired Dozers 1 8.00 247

0.37 Site Preparation Graders 1 8.00 187 0.41Demolition Tractors/Loaders/Backhoes 1 8.00 97

0.38 Demolition Rubber Tired Dozers 0 8.00 247 0.40Demolition Excavators 1 8.00 158 Load Factor
Demolition Concrete/Industrial Saws 1 8.00 81 0.73
Phase Name Offroad Equipment Type Amount Usage Hours Horse Power Acres of Grading (Site Preparation Phase): 4
Acres of Grading (Grading Phase): 48Acres of Paving: 0
Residential Indoor: 0; Residential Outdoor: 0; Non-Residential Indoor: 442,500; Non-Residential Outdoor: 147,500; Striped Parking Area: 10,691 OffRoad Equipment
5 136
10 Paving/landscaping/finishing Paving 3/4/2024 5/3/2024 5 459 Building Interior Architectural Coating 8/10/2023 2/15/2024 5 48
8 Building Construction Building Construction 7/14/2022 1/25/2023 5 1407 Grading Grading 5/27/2022 8/2/2022 5 140
6 Soil Remediation Site Preparation 5/27/2022 8/2/2022 5 485 Trenching/Foundation Trenching 4/28/2022 11/9/2022 5 25
4 Dewatering Architectural Coating 4/22/2022 9/21/2023 7 518 Generator Pump3 Soldier Piles/Micropiles Building Construction 4/22/2022 5/26/2022 5 5 working portion
2 Site Preparation Site Preparation 3/10/2022 3/15/2022 5 4 working portion1 Demolition Demolition 2/10/2022 2/16/2022 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Trips and VMT

0.38 Paving/landscaping/finishing Tractors/Loaders/Backhoes 1 7.10 97 0.37Paving/landscaping/finishing Rollers 1 7.10 80

0.42 Paving/landscaping/finishing Paving Equipment 1 0.40 132 0.36Paving/landscaping/finishing Pavers 1 0.40 130

0.48 Paving/landscaping/finishing Cement and Mortar Mixers 1 0.40 9 0.56Building Interior Air Compressors 1 8.00 78

0.45 Building Interior Aerial Lifts 2 8.00 63 0.31Building Construction Welders 1 8.00 46

0.74 Building Construction Tractors/Loaders/Backhoes 0 6.00 97 0.37Building Construction Generator Sets 0 8.00 84

0.29 Building Construction Forklifts 1 8.00 89 0.20Building Construction Cranes 1 0.00 231

0.40 Grading Tractors/Loaders/Backhoes 2 8.00 97 0.37Grading Rubber Tired Dozers 1 8.00 247

0.38 Grading Graders 1 8.00 187 0.41Grading Excavators 2 8.00 158

0.40 Soil Remediation Tractors/Loaders/Backhoes 1 8.00 97 0.37Soil Remediation Rubber Tired Dozers 0 7.00 247

0.38 Soil Remediation Graders 0 8.00 187 0.41Soil Remediation Excavators 1 8.00 158

0.38 Trenching/Foundation Tractors/Loaders/Backhoes 1 6.00 97 0.37Trenching/Foundation Excavators 1 6.00 158

0.48 Dewatering Pumps 1 24.00 84 0.74Dewatering Air Compressors 0 0.00 78

0.37 Soldier Piles/Micropiles Welders 0 8.00 46 0.45Soldier Piles/Micropiles Tractors/Loaders/Backhoes 0 6.00 97Soldier Piles/Micropiles Generator Sets 0 0.00 84 0.74 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

6.6000e004 7.8000e- 0.0000 3.1779 004 4.0000e-005 8.2000e- 7.8000e-004 0.0000 3.1614 3.1614 004 Off-Road 1.8100e- 8.2000e-004 003 0.0156 0.0229

0.0000 0.0000 0.0000 0.0000 0.0000
Category tons/yr MT/yr
Fugitive Dust 1.2000e003 0.0000 1.2000e-003 1.8000e- 004 0.0000 1.8000e-004 0.0000 NBio- CO2 Total CO2 CH4 N2O CO2e
Reduce Vehicle Speed on Unpaved Roads

3.2 Demolition - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5 Total Bio- CO2
HHDT

3.1 Mitigation Measures Construction
Use Alternative Fuel for Construction EquipmentUse Cleaner Engines for Construction EquipmentWater Exposed Area Paving/landscaping/finis 10.80 7.30 20.00 LD_Mix HDT_Mix hing
5 0.00 0.00 0.00
HHDT
Building Interior 3 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDTBuilding Construction 3 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDT
Grading 6 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDTSoil Remediation 2 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDT
Trenching/Foundation 2 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDT Dewatering 1 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDT
Soldier Piles/Micropiles 3 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDTSite Preparation 4 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix Vendor Vehicle
Class
Hauling Vehicle
Class
Demolition 3 0.00 0.00 0.00 10.80 7.30 20.00 LD_Mix HDT_Mix HHDT Hauling Trip
Number
Worker Trip
Length
Vendor Trip
Length
Hauling Trip
Length
Worker Vehicle
Class
Phase Name Offroad Equipment
Count
Worker Trip
Number
Vendor Trip
Number
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

3.1614 3.1614 6.6000e004 0.0000 3.1779

0.0000 0.0000 0.0000
Off-Road 6.2000e004 0.0147 0.0253 4.0000e-005 5.0000e- 005 5.0000e-005 5.0000e- 005 5.0000e-005 0.0000

5.4000e- 0.0000 8.0000e-005 0.0000 0.0000 0.0000
004

0.0000 5.4000e-004 8.0000e005 Fugitive Dust
N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

3.1614 3.1614 6.6000e004 Total 1.8100e- 0.0000 3.1779 003 0.0156 0.0229 4.0000e-005 1.2000e- 003 8.2000e- 004 2.0200e-003 1.8000e- 004 7.8000e- 004 9.6000e-004 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

3.7572 3.7572 1.2200e003 0.0000 3.7876

0.0000 0.0000 0.0000
Off-Road 3.1600e003 0.0348 0.0196 4.0000e-005 1.5300e- 003 1.5300e-003 1.4100e- 003 1.4100e-003 0.0000

0.0142 0.0000 0.0142 6.8500e- 0.0000 6.8500e-003 0.0000 0.0000 0.0000 003
Fugitive Dust
N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.3 Site Preparation - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

6.6000e004 0.0000 3.1779
Mitigated Construction Off-Site

5.0000e005 4.0000e-005 5.4000e- 1.3000e-004 0.0000 3.1614 3.1614 004 5.0000e- 005 5.9000e-004 8.0000e- 005 Total 6.2000e- 004 0.0147 0.0253 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

3.7572 3.7572 1.2200e003 0.0000 3.7876

0.0000 0.0000 0.0000
Off-Road 7.7000e004 0.0134 0.0255 4.0000e-005 7.0000e- 005 7.0000e-005 7.0000e- 005 7.0000e-005 0.0000

6.3700e- 0.0000 3.0800e-003 0.0000 0.0000 0.0000
003

0.0000 6.3700e-003 3.0800e003 Fugitive Dust
N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

1.2200e003 0.0000 3.7876
Unmitigated Construction Off-Site

1.4100e003 4.0000e-005 0.0142 1.5300e- 8.2600e-003 0.0000 3.7572 3.7572 003 0.0157 6.8500e- 003 Total 3.1600e- 003 0.0348 0.0196 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

22.9691 22.9691 7.4300e003 0.0000 23.1548

7.4300e003 0.0000 23.1548
Total 0.0111 0.1173 0.0795 2.6000e-004 4.9400e003 4.9400e-003 4.5500e- 003 4.5500e-003 0.0000

4.5500e003 2.6000e-004 4.9400e- 4.5500e-003 0.0000 22.9691 22.9691 003 Off-Road 0.0111 0.1173 0.0795 4.9400e-003 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.4 Soldier Piles/Micropiles - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

1.2200e003 0.0000 3.7876
Mitigated Construction Off-Site

7.0000e005 4.0000e-005 6.3700e- 3.1500e-003 0.0000 3.7572 3.7572 003 7.0000e- 005 6.4400e-003 3.0800e- 003 Total 7.7000e- 004 0.0134 0.0255 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

15.0478 15.0478 4.8700e003 0.0000 15.1695

4.8700e003 0.0000 15.1695
Total 2.9800e003 0.0498 0.0973 1.7000e-004 2.8000e- 004 2.8000e-004 2.8000e- 004 2.8000e-004 0.0000

2.8000e004 1.7000e-004 2.8000e- 2.8000e-004 0.0000 15.0478 15.0478 004 Off-Road 2.9800e- 2.8000e-004 003 0.0498 0.0973 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Total 0.9066 1.1311 1.4218 2.5100e-003 0.0593 0.0593 0.0593 0.0593 0.0000 215.3440 215.3440 0.0110 0.0000 215.6188 215.3440 215.3440 0.0110 0.0000 215.6188

0.0000 0.0000 0.0000
Off-Road 0.1341 1.1311 1.4218 2.5100e-003 0.0593 0.0593 0.0593 0.0593 0.0000 Archit. Coating 0.7725 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.5 Dewatering - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0110 0.0000 215.6185
Mitigated Construction Off-Site

3.3400e003 2.5100e-003 3.3400e- 3.3400e-003 0.0000 215.3438 215.3438 003 Total 0.8185 0.8939 1.5455 3.3400e-003 215.3438 215.3438 0.0110 0.0000 215.6185

0.0000 0.0000 0.0000
Off-Road 0.0460 0.8939 1.5455 2.5100e-003 3.3400e003 3.3400e-003 3.3400e- 003 3.3400e-003 0.0000 Archit. Coating 0.7725 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
Unmitigated Construction Off-Site
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0102 0.0000 224.0782
Unmitigated Construction Off-Site
Total 0.9327 1.0901 1.4752 2.6000e-003 0.0534 0.0534 0.0534 0.0534 0.0000 223.8222 223.8222 223.8222 223.8222 0.0102 0.0000 224.0782

0.0000 0.0000 0.0000
Off-Road 0.1298 1.0901 1.4752 2.6000e-003 0.0534 0.0534 0.0534 0.0534 0.0000 Archit. Coating 0.8029 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.5 Dewatering - 2023
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0102 0.0000 224.0779
Mitigated Construction Off-Site

3.4700e003 2.6000e-003 3.4700e- 3.4700e-003 0.0000 223.8219 223.8219 003 Total 0.8507 0.9291 1.6063 3.4700e-003 223.8219 223.8219 0.0102 0.0000 224.0779

0.0000 0.0000 0.0000
Off-Road 0.0478 0.9291 1.6063 2.6000e-003 3.4700e003 3.4700e-003 3.4700e- 003 3.4700e-003 0.0000 Archit. Coating 0.8029 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Unmitigated Construction Off-Site

38.1615 38.1615 0.0123 0.0000 38.4701

0.0123 0.0000 38.4701
Total 0.0193 0.1813 0.2884 4.3000e-004 9.2400e003 9.2400e-003 8.5000e- 003 8.5000e-003 0.0000

8.5000e003 4.3000e-004 9.2400e- 8.5000e-003 0.0000 38.1615 38.1615 003 Off-Road 0.0193 0.1813 0.2884 9.2400e-003 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.6 Trenching/Foundation - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4 N2O CO2e
Mitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

38.1615 38.1615 0.0123 0.0000 38.4700

0.0123 0.0000 38.4700
Total 6.9900e003 0.1906 0.3287 4.3000e-004 7.1000e- 004 7.1000e-004 7.1000e- 004 7.1000e-004 0.0000

7.1000e004 4.3000e-004 7.1000e- 7.1000e-004 0.0000 38.1615 38.1615 004 Off-Road 6.9900e- 7.1000e-004 003 0.1906 0.3287 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
ROG NOx CO SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4 PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Exhaust CH4 N2O CO2e
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

5.6400e003 0.0000 17.5863
Unmitigated Construction Off-Site

3.8900e003 2.0000e-004 4.3000e- 4.5400e-003 0.0000 17.4453 17.4453 003 4.2200e- 003 8.5200e-003 6.5000e- 004 Total 8.8100e- 003 0.0829 0.1318

17.4453 17.4453 5.6400e003 0.0000 17.5863

0.0000 0.0000 0.0000
Off-Road 8.8100e003 0.0829 0.1318 2.0000e-004 4.2200e- 003 4.2200e-003 3.8900e- 003 3.8900e-003 0.0000

4.3000e- 0.0000 6.5000e-004 0.0000 0.0000 0.0000
003

0.0000 4.3000e-003 6.5000e004 Fugitive Dust
N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.7 Soil Remediation - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Category tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Exhaust CH4 N2O CO2e
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

5.6400e003 0.0000 17.5863
Mitigated Construction Off-Site

3.2000e004 2.0000e-004 1.9300e- 6.1000e-004 0.0000 17.4452 17.4452 003 3.2000e- 004 2.2500e-003 2.9000e- 004 Total 3.2000e- 003 0.0872 0.1502

17.4452 17.4452 5.6400e003 0.0000 17.5863

0.0000 0.0000 0.0000
Off-Road 3.2000e003 0.0872 0.1502 2.0000e-004 3.2000e- 004 3.2000e-004 3.2000e- 004 3.2000e-004 0.0000

1.9300e- 0.0000 2.9000e-004 0.0000 0.0000 0.0000
003

0.0000 1.9300e-003 2.9000e004 Fugitive Dust
N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Category tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Exhaust CH4 N2O CO2e
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

0.0216 0.0000 67.3999
Unmitigated Construction Off-Site
Total 0.0477 0.5030 0.3910 7.6000e-004 0.1733 0.0225 0.1957 0.0827 0.0207 0.1034 0.0000 66.8593 66.8593

66.8593 66.8593 0.0216 0.0000 67.3999

0.0000 0.0000 0.0000
Off-Road 0.0477 0.5030 0.3910 7.6000e-004 0.0225 0.0225 0.0207 0.0207 0.0000 Fugitive Dust 0.1733 0.0000 0.1733 0.0827 0.0000 0.0827 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.8 Grading - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Category tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Exhaust CH4 N2O CO2e
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

0.0216 0.0000 67.3998
Mitigated Construction Off-Site

1.2400e003 7.6000e-004 0.0780 1.2400e- 0.0385 0.0000 66.8592 66.8592 003 Total 0.0123 0.2701 0.4936 0.0792 0.0372

66.8592 66.8592 0.0216 0.0000 67.3998

0.0000 0.0000 0.0000
Off-Road 0.0123 0.2701 0.4936 7.6000e-004 1.2400e003 1.2400e-003 1.2400e- 003 1.2400e-003 0.0000 Fugitive Dust 0.0780 0.0000 0.0780 0.0372 0.0000 0.0372 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Category tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

19.6732 19.6732 4.0200e003 0.0000 19.7738

4.0200e003 0.0000 19.7738
Total 0.0238 0.1536 0.1738 2.5000e-004 8.1600e003 8.1600e-003 7.8200e- 003 7.8200e-003 0.0000

7.8200e003 2.5000e-004 8.1600e- 7.8200e-003 0.0000 19.6732 19.6732 003 Off-Road 0.0238 0.1536 0.1738 8.1600e-003 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.9 Building Construction - 2022
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Category tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

19.6732 19.6732 4.0200e003 0.0000 19.7738

4.0200e003 0.0000 19.7738
Total 4.7800e003 0.1423 0.1622 2.5000e-004 3.0000e- 003 3.0000e-003 3.0000e- 003 3.0000e-003 0.0000

3.0000e003 2.5000e-004 3.0000e- 3.0000e-003 0.0000 19.6732 19.6732 003 Off-Road 4.7800e- 3.0000e-003 003 0.1423 0.1622 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

2.9026 2.9026 5.8000e004 0.0000 2.9170

5.8000e004 0.0000 2.9170
Total 3.2100e003 0.0214 0.0254 4.0000e-005 1.0300e- 003 1.0300e-003 9.9000e- 004 9.9000e-004 0.0000

9.9000e004 4.0000e-005 1.0300e- 9.9000e-004 0.0000 2.9026 2.9026 003 Off-Road 3.2100e- 1.0300e-003 003 0.0214 0.0254 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.9 Building Construction - 2023
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction Off-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

2.9026 2.9026 5.8000e004 0.0000 2.9170

5.8000e004 0.0000 2.9170
Total 7.1000e004 0.0210 0.0239 4.0000e-005 4.4000e- 004 4.4000e-004 4.4000e- 004 4.4000e-004 0.0000

4.4000e004 4.0000e-005 4.4000e- 4.4000e-004 0.0000 2.9026 2.9026 004 Off-Road 7.1000e- 4.4000e-004 004 0.0210 0.0239 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

5.9100e003 0.0000 32.5574
Unmitigated Construction Off-Site

5.6800e003 3.7000e-004 5.7600e- 5.6800e-003 0.0000 32.4098 32.4098 003 Total 1.1981 0.1430 0.2345 5.7600e-003

32.4098 32.4098 5.9100e003 0.0000 32.5574

0.0000 0.0000 0.0000
Off-Road 0.0166 0.1430 0.2345 3.7000e-004 5.7600e003 5.7600e-003 5.6800e- 003 5.6800e-003 0.0000 Archit. Coating 1.1816 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.10 Building Interior - 2023
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

5.9100e003 0.0000 32.5574
Mitigated Construction Off-Site

4.2000e003 3.7000e-004 4.2000e- 4.2000e-003 0.0000 32.4098 32.4098 003 Total 1.1895 0.1683 0.2546 4.2000e-003

32.4098 32.4098 5.9100e003 0.0000 32.5574

0.0000 0.0000 0.0000
Off-Road 7.9200e003 0.1683 0.2546 3.7000e-004 4.2000e- 003 4.2000e-003 4.2000e- 003 4.2000e-003 0.0000 Archit. Coating 1.1816 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

1.9500e003 0.0000 10.8520
Unmitigated Construction Off-Site

1.6700e003 1.2000e-004 1.6900e- 1.6700e-003 0.0000 10.8033 10.8033 003 Total 0.3991 0.0455 0.0782 1.6900e-003

10.8033 10.8033 1.9500e003 0.0000 10.8520

0.0000 0.0000 0.0000
Off-Road 5.2700e003 0.0455 0.0782 1.2000e-004 1.6900e- 003 1.6900e-003 1.6700e- 003 1.6700e-003 0.0000 Archit. Coating 0.3939 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.10 Building Interior - 2024
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

1.9500e003 0.0000 10.8520
Mitigated Construction Off-Site

1.4000e003 1.2000e-004 1.4000e- 1.4000e-003 0.0000 10.8033 10.8033 003 Total 0.3965 0.0561 0.0849 1.4000e-003

10.8033 10.8033 1.9500e003 0.0000 10.8520

0.0000 0.0000 0.0000
Off-Road 2.6400e003 0.0561 0.0849 1.2000e-004 1.4000e- 003 1.4000e-003 1.4000e- 003 1.4000e-003 0.0000 Archit. Coating 0.3939 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

3.5400e003 0.0000 11.0778
Unmitigated Construction Off-Site

2.8800e003 1.3000e-004 3.1300e- 2.8800e-003 0.0000 10.9892 10.9892 003 Total 6.2400e- 3.1300e-003 003 0.0634 0.0881

0.0000 0.0000 0.0000 0.0000 0.0000

3.5400e003 0.0000 11.0778
Paving 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

2.8800e003 1.3000e-004 3.1300e- 2.8800e-003 0.0000 10.9892 10.9892 003 Off-Road 6.2400e- 3.1300e-003 003 0.0634 0.0881 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

3.11 Paving/landscaping/finishing - 2024
Unmitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Worker 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Vendor 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Hauling 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

3.5400e003 0.0000 11.0778
Mitigated Construction Off-Site

2.0000e004 1.3000e-004 2.0000e- 2.0000e-004 0.0000 10.9892 10.9892 004 Total 2.6900e- 2.0000e-004 003 0.0543 0.0939

0.0000 0.0000 0.0000 0.0000 0.0000

3.5400e003 0.0000 11.0778
Paving 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

2.0000e004 1.3000e-004 2.0000e- 2.0000e-004 0.0000 10.9892 10.9892 004 Off-Road 2.6900e- 2.0000e-004 003 0.0543 0.0939 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated Construction On-Site
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

4.3 Trip Type Information
4,071,667
Total 2,159.40 362.85 212.40 4,071,667 4,071,667
Research & Development 2,159.40 362.85 212.40 4,071,667 Other Asphalt Surfaces 0.00 0.00 0.00
Enclosed Parking with Elevator 0.00 0.00 0.00
Annual VMT
City Park 0.00 0.00 0.00
Land Use Weekday Saturday Sunday Annual VMT

0.0645 0.0540 1,377.9873

4.2 Trip Summary Information
Average Daily Trip Rate Unmitigated Mitigated
1,377.9873
Unmitigated 0.8230 0.5515 5.7045 0.0148 1.3653 8.8800e003 1.3742 0.3403 8.2600e- 003 0.3485 0.0000 1,360.2753 1,360.2753

0.0000 1,360.2753 1,360.2753 0.0645 0.0540
CO2e
Category tons/yr MT/yrMitigated 0.8230 0.5515 5.7045 0.0148 1.3653 8.8800e003 1.3742 0.3403 8.2600e- 003 0.3485 Exhaust Bio- CO2 NBio- CO2 Total CO2 CH4 N2O
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5 Total

4.0 Operational Detail - Mobile4.1 Mitigation Measures Mobile ROG NOx CO SO2 Fugitive
PM10
Total 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

7.4100e003 NaturalGas 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000 386.7889 386.7889 7.0900e-003 389.0874 Mitigated 0.0391 0.3553 0.2985

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Electricity
Unmitigated

0.0000 0.0000 0.0000 0.0000 0.0000
Electricity Mitigated 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Historical Energy Use: N

5.1 Mitigation Measures Energy
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.000743 0.023500 0.000418 0.002040

5.0 Energy Detail
Research & Development 0.448243 0.043109 0.275360 0.157817 0.028829 0.006330 0.008743 0.002558 0.002310

0.000418 0.002040
Other Asphalt Surfaces 0.448243 0.043109 0.275360 0.157817 0.028829 0.006330 0.008743 0.002558 0.002310 0.000743 0.023500 0.000418 0.002040

0.000743 0.023500 0.000418 0.002040
Enclosed Parking with Elevator 0.448243 0.043109 0.275360 0.157817 0.028829 0.006330 0.008743 0.002558 0.002310 0.000743 0.023500 City Park 0.448243 0.043109 0.275360 0.157817 0.028829 0.006330 0.008743 0.002558 0.002310 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH

4.4 Fleet Mix
Land Use LDA LDT1 LDT2
Research & Development 9.50 7.30 7.30 33.00 48.00 19.00 82 15 3 Other Asphalt Surfaces 9.50 7.30 7.30 0.00 0.00 0.00 0 0 0 Enclosed Parking with Elevator 9.50 7.30 7.30 0.00 0.00 0.00 0 0 0 City Park 9.50 7.30 7.30 33.00 48.00 19.00 66 28 6
Land Use H-W or C-W H-S or C-C H-O or C-NW H-W or C-W H-S or C-C H-O or C-NW Primary Diverted Pass-by Miles Trip % Trip Purpose %
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied City Park 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Land Use kBTU/yr tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4

7.0900e003 389.0874
Mitigated
NaturalGa
s Use
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0270 0.0000 386.7889 386.7889 7.4100e-003
386.7889 7.4100e-003 7.0900e003 389.0874
Total 0.0391 0.3553 0.2985 2.1300e003 0.0270 0.0270 0.0270

0.2985 2.1300e- 0.0270 0.0270 0.0000 386.7889
003
Research & 0.0270 0.0270
Development

7.24815e+
006

0.0391 0.3553

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
City Park 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Land Use kBTU/yr tons/yr MT/yr
Exhaust
PM2.5
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2

5.2 Energy by Land Use - NaturalGas
Unmitigated
NaturalGa
s Use
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
386.7889 386.7889 7.4100e003 NaturalGas 7.0900e-003 389.0874 Unmitigated 0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Mitigated

0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000
Research &
Development

2.19185e+
006

0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
850811 0.0000 0.0000
Land Use kWh/yr t
on
MT/yr
City Park 0 0.0000 0.0000 0.0000 0.0000

7.0900e003 389.0874

5.3 Energy by Land Use - Electricity
Unmitigated
Electricity
Use
Total CO2 CH4 N2O CO2e

0.0270 0.0000 386.7889 386.7889 7.4100e-003
386.7889 7.4100e-003 7.0900e003 389.0874
Total 0.0391 0.3553 0.2985 2.1300e003 0.0270 0.0270 0.0270

0.2985 2.1300e- 0.0270 0.0270 0.0000 386.7889
003
Research & 0.0270 0.0270
Development

7.24815e+
006

0.0391 0.3553

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Enclosed Parking 0.0000 0.0000 0.0000 0.0000 0.0000
with Elevator
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

3.0000e005 0.0000 0.0123

6.2 Area by SubCategory

0.0123
Unmitigated 1.3219 5.0000e-005 5.9200e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000 0.0115 0.0115

0.0000 0.0115 0.0115 3.0000e005 0.0000
CO2e
Category tons/yr MT/yrMitigated 1.3219 5.0000e-005 5.9200e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 Exhaust Bio- CO2 NBio- CO2 Total CO2 CH4 N2O
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5 Total

6.0 Area Detail6.1 Mitigation Measures Area
ROG NOx CO SO2 Fugitive
PM10

0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000
Research &
Development

2.19185e+
006

0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
850811 0.0000 0.0000
Land Use kWh/yr t
on
MT/yr
City Park 0 0.0000 0.0000 0.0000 0.0000
Electricity
Use
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0115 0.0115 3.0000e005 0.0000 0.0123

3.0000e005 0.0000 0.0123
Total 1.3219 5.0000e-005 5.9200e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Landscaping 5.5000e- 2.0000e-005 004 5.0000e-005 5.9200e- 003

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Consumer
Products

1.1639 0.0000 0.0000 0.0000 0.0000 0.0000
Architectural 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Coating

0.1575
N2O CO2e
SubCategory tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0115 0.0115 3.0000e005 0.0000 0.0123

3.0000e005 0.0000 0.0123
Total 1.3219 5.0000e-005 5.9200e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Landscaping 5.5000e- 2.0000e-005 004 5.0000e-005 5.9200e- 003

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Consumer
Products

1.1639 0.0000 0.0000 0.0000 0.0000 0.0000
Architectural 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Coating

0.1575
CH4 N2O CO2e
SubCategory tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO
Unmitigated
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.1116 197.4361
Total 46.0176 4.7265 0.1116 197.4361
Research &
Development
145.05 / 0 46.0176 4.7265

0.0000 0.0000
Other Asphalt
Surfaces
0 / 0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 / 0 0.0000 0.0000
Land Use Mgal t
on
MT/yr
City Park 0 /

0.595741

0.0000 0.0000 0.0000 0.0000
197.4361

7.2 Water by Land Use
Unmitigated
Indoor/Out
door Use
Total CO2 CH4 N2O CO2e
Unmitigated 46.0176 4.7265 0.1116
Category t
on
MT/yr
Mitigated 46.0176 4.7265 0.1116 197.4361

7.0 Water Detail7.1 Mitigation Measures Water
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied ton
MT/yr

8.0 Waste Detail8.1 Mitigation Measures Waste
Category/Year
Total CO2 CH4 N2O CO2e

0.1116 197.4361
Total 46.0176 4.7265 0.1116 197.4361
Research &
Development
145.05 / 0 46.0176 4.7265

0.0000 0.0000
Other Asphalt
Surfaces
0 / 0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 / 0 0.0000 0.0000
Land Use Mgal t
on
MT/yr
City Park 0 /

0.595741

0.0000 0.0000 0.0000 0.0000
Mitigated
Indoor/Out
door Use
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Land Use tons t
on
MT/yr
Mitigated
Waste
Disposed
Total CO2 CH4 N2O CO2e

0.0000 11.2751
Total 4.5592 0.2694 0.0000 11.2952
Research &
Development

22.42 4.5511 0.2690

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000
Land Use tons t
on
MT/yr
City Park 0.04 8.1200e003 4.8000e-004 0.0000 0.0201

11.2952

8.2 Waste by Land Use
Unmitigated
Waste
Disposed
Total CO2 CH4 N2O CO2e
Unmitigated 4.5592 0.2694 0.0000
Mitigated 4.5592 0.2694 0.0000 11.2952
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

10.1 Stationary Sources
Unmitigated/Mitigated
Boiler Rating Fuel Type
User Defined Equipment
Equipment Type Number
Boilers
Equipment Type Number Heat Input/Day Heat Input/Year
Load Factor Fuel Type
Emergency Generator 1 1 50 3753 0.73 Diesel
Equipment Type Number Hours/Day Hours/Year Horse Power
Horse Power Load Factor Fuel Type

10.0 Stationary Equipment
Fire Pumps and Emergency Generators

9.0 Operational Offroad
Equipment Type Number Hours/Day Days/Year

0.0000 11.2751
Total 4.5592 0.2694 0.0000 11.2952
Research &
Development

22.42 4.5511 0.2690

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000
City Park 0.04 8.1200e003 4.8000e-004 0.0000 0.0201
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:22 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

11.0 Vegetation

71.4566 71.4566 0.0100 0.0000 71.7071

0.0100 0.0000 71.7071
Total 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000 Emergency 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000 71.4566 71.4566 Generator - Diesel
(750 9999 HP)

0.1540 0.6886 0.3926
N2O CO2e
Equipment Type tons/yr MT/yr
ROG NOx CO SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4 PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Off-road Equipment - Based on construction worksheet
Off-road Equipment - Based on construction worksheetConstruction Phase - From construction worksheetOff-road Equipment - Crane is ElectricOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheet N2O Intensity (lb/MWhr)
0 1.3 User Entered Comments & Non-Default Data
Project Characteristics - Assume PCELand Use - Estimated roadway and landscaped surfaces - 1 employee/1ksf Utility Company Peninsula Clean EnergyCO2 Intensity (lb/MWhr) 0 CH4 Intensity
(lb/MWhr)
0 Precipitation Freq (Days) 70
Climate Zone 5 Operational Year 2030

1.2 Other Project Characteristics
Urbanization Urban Wind Speed (m/s) 2.2
0 City Park 0.50 Acre 0.00 21,780.00 0
Other Asphalt Surfaces 0.50 Acre 0.00 21,780.00
983
Enclosed Parking with Elevator 350.00 Space 0.00 156,399.00 0 Research & Development 295.00 1000sqft 2.00 295,000.00
580 Dubuque R&D
San Mateo County, Annual

1.0 Project Characteristics1.1 Land Usage
Land Uses Size Metric Lot Acreage Floor Surface Area Population CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 5.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation FuelType Diesel ElectricaltblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00 Table Name Column Name Default Value New Value
tblConstDustMitigation WaterUnpavedRoadVehicleSpeed 0 15 Vehicle Emission Factors - Emfac2021Construction Off-road Equipment Mitigation - All equipment t4i, BMPFleet Mix - Emfac2021Stationary Sources - Emergency Generators and Fire Pumps - 2800 kw Generator = 3,753hp engineStationary Sources - Emergency Generators and Fire Pumps EF - Assume BAAQMD BACT= 0.5NOx 0.02PMOff-road Equipment - Based on construction worksheetTrips and VMT - All trips entered into EMFAC2021Demolition - Based on construction worksheetGrading - Based on construction worksheetVehicle Trips - Trip gen with TDM = 2159/295ksf = 7.32/1.23/0.7 2 Off-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheetOff-road Equipment - Based on construction worksheet - generator seperate overlapping phase CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblConstructionPhase NumDays 2.00 4.00tblConstructionPhase NumDays 2.00 48.00tblConstructionPhase NumDays 4.00 48.00tblConstructionPhase NumDays 10.00 45.00tblConstructionPhase NumDays 200.00 140.00tblConstructionPhase NumDays 20.00 5.00tblConstructionPhase NumDays 10.00 136.00tblConstructionPhase NumDays 200.00 25.00 tblConstEquipMitigation Tier No Change Tier 4 Interim
tblConstructionPhase NumDays 10.00 518.00
tblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00tblConstEquipMitigation Tier No Change Tier 4 InterimtblConstEquipMitigation NumberOfEquipmentMitigated 0.00 2.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 8.00tblConstEquipMitigation NumberOfEquipmentMitigated 0.00 1.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblFleetMix MCY 0.03 0.02tblFleetMix MCY 0.03 0.02tblFleetMix MCY 0.03 0.02tblFleetMix LHD2 7.1360e-003 7.4140e-003tblFleetMix MCY 0.03 0.02tblFleetMix LHD2 7.1360e-003 7.4140e-003tblFleetMix LHD2 7.1360e-003 7.4140e-003tblFleetMix LHD1 0.03 0.03tblFleetMix LHD2 7.1360e-003 7.4140e-003tblFleetMix LHD1 0.03 0.03tblFleetMix LHD1 0.03 0.03tblFleetMix LDT2 0.25 0.31tblFleetMix LHD1 0.03 0.03tblFleetMix LDT2 0.25 0.31tblFleetMix LDT2 0.25 0.31tblFleetMix LDT1 0.08 0.04tblFleetMix LDT2 0.25 0.31tblFleetMix LDT1 0.08 0.04tblFleetMix LDT1 0.08 0.04tblFleetMix LDA 0.43 0.39tblFleetMix LDT1 0.08 0.04tblFleetMix LDA 0.43 0.39tblFleetMix LDA 0.43 0.39tblFleetMix HHD 1.7910e-003 2.3620e-003tblFleetMix LDA 0.43 0.39tblFleetMix HHD 1.7910e-003 2.3620e-003tblFleetMix HHD 1.7910e-003 2.3620e-003 tblConstructionPhase NumDaysWeek 5.00 7.00
tblFleetMix HHD 1.7910e-003 2.3620e-003
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblLandUse LotAcreage 6.77 2.00tblLandUse LotAcreage 3.15 0.00 tblGrading MaterialExported 0.00 76,016.00
tblLandUse LandUseSquareFeet 140,000.00 156,399.00
tblFleetMix UBUS 4.9600e-004 6.4500e-004
tblGrading MaterialExported 0.00 58,000.00
tblFleetMix UBUS 4.9600e-004 6.4500e-004tblFleetMix UBUS 4.9600e-004 6.4500e-004tblFleetMix SBUS 4.2100e-004 3.9400e-004tblFleetMix UBUS 4.9600e-004 6.4500e-004tblFleetMix SBUS 4.2100e-004 3.9400e-004tblFleetMix SBUS 4.2100e-004 3.9400e-004tblFleetMix OBUS 1.3500e-003 2.2040e-003tblFleetMix SBUS 4.2100e-004 3.9400e-004tblFleetMix OBUS 1.3500e-003 2.2040e-003tblFleetMix OBUS 1.3500e-003 2.2040e-003tblFleetMix MHD 0.01 8.2620e-003tblFleetMix OBUS 1.3500e-003 2.2040e-003tblFleetMix MHD 0.01 8.2620e-003tblFleetMix MHD 0.01 8.2620e-003tblFleetMix MH 2.9170e-003 2.1460e-003tblFleetMix MHD 0.01 8.2620e-003tblFleetMix MH 2.9170e-003 2.1460e-003tblFleetMix MH 2.9170e-003 2.1460e-003tblFleetMix MDV 0.16 0.18tblFleetMix MH 2.9170e-003 2.1460e-003tblFleetMix MDV 0.16 0.18tblFleetMix MDV 0.16 0.18tblFleetMix MDV 0.16 0.18 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblOffRoadEquipment UsageHours 8.00 7.10tblOffRoadEquipment UsageHours 7.00 8.00tblOffRoadEquipment UsageHours 7.00 8.00tblOffRoadEquipment UsageHours 8.00 0.40tblOffRoadEquipment UsageHours 7.00 7.10tblOffRoadEquipment UsageHours 8.00 0.00tblOffRoadEquipment UsageHours 6.00 0.40tblOffRoadEquipment UsageHours 6.00 10.00tblOffRoadEquipment UsageHours 6.00 8.00tblOffRoadEquipment UsageHours 6.00 10.00tblOffRoadEquipment UsageHours 6.00 0.00tblOffRoadEquipment UsageHours 6.00 8.00tblOffRoadEquipment UsageHours 6.00 0.40tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 1.00tblOffRoadEquipment UsageHours 6.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 2.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 3.00 1.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00 tblLandUse Population 0.00 983.00
tblOffRoadEquipment OffRoadEquipmentUnitAmount 1.00 0.00 tblLandUse LotAcreage 0.50 0.00tblLandUse LotAcreage 0.50 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF HHD 0.35 0.20tblVehicleEF HHD 0.14 0.11tblVehicleEF HHD 860.08 692.39tblVehicleEF HHD 1,405.74 1,514.61tblVehicleEF HHD 1.06 1.44tblVehicleEF HHD 0.04 0.02tblVehicleEF HHD 3.0000e-006 0.00tblVehicleEF HHD 5.46 4.57tblVehicleEF HHD 0.04 0.23tblVehicleEF HHD 0.19 0.18 tblTripsAndVMT WorkerTripNumber 178.00 0.00tblTripsAndVMT WorkerTripNumber 36.00 0.00tblTripsAndVMT WorkerTripNumber 5.00 0.00tblTripsAndVMT WorkerTripNumber 15.00 0.00tblTripsAndVMT WorkerTripNumber 36.00 0.00tblTripsAndVMT WorkerTripNumber 5.00 0.00tblTripsAndVMT WorkerTripNumber 10.00 0.00tblTripsAndVMT WorkerTripNumber 178.00 0.00tblTripsAndVMT WorkerTripNumber 8.00 0.00tblTripsAndVMT WorkerTripNumber 13.00 0.00tblTripsAndVMT VendorTripNumber 81.00 0.00tblTripsAndVMT VendorTripNumber 81.00 0.00tblTripsAndVMT HaulingTripNumber 9,502.00 0.00tblTripsAndVMT HaulingTripNumber 7,250.00 0.00 tblStationaryGeneratorsPumpsUse NumberOfEquipment 0.00 1.00 tblTripsAndVMT HaulingTripNumber 11.00 0.00
tblStationaryGeneratorsPumpsUse HoursPerDay 0.00 1.00tblStationaryGeneratorsPumpsUse HoursPerYear 0.00 50.00tblStationaryGeneratorsPumpsUse HorsePowerValue 0.00 3,753.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF HHD 5.0000e-006 0.00tblVehicleEF HHD 3.2200e-004 6.5000e-005tblVehicleEF HHD 0.43 0.53tblVehicleEF HHD 3.0000e-006 2.0000e-006tblVehicleEF HHD 6.0000e-006 2.3600e-004tblVehicleEF HHD 7.5950e-003 5.6170e-003tblVehicleEF HHD 0.01 0.01tblVehicleEF HHD 1.5200e-004 3.9100e-004tblVehicleEF HHD 1.4000e-005 2.0000e-006tblVehicleEF HHD 5.0000e-006 0.00tblVehicleEF HHD 0.03 0.02tblVehicleEF HHD 3.2200e-004 6.5000e-005tblVehicleEF HHD 0.36 0.27tblVehicleEF HHD 3.0000e-006 2.0000e-006tblVehicleEF HHD 6.0000e-006 2.3600e-004tblVehicleEF HHD 8.7570e-003 8.6350e-003tblVehicleEF HHD 0.02 0.02tblVehicleEF HHD 2.6200e-003 1.9850e-003tblVehicleEF HHD 0.03 0.03tblVehicleEF HHD 0.02 0.02tblVehicleEF HHD 3.0000e-006 2.0000e-006tblVehicleEF HHD 0.06 0.09tblVehicleEF HHD 0.04 0.03tblVehicleEF HHD 2.40 2.65tblVehicleEF HHD 2.7380e-003 2.0820e-003tblVehicleEF HHD 5.01 3.57tblVehicleEF HHD 2.73 1.87tblVehicleEF HHD 0.23 0.24tblVehicleEF HHD 3.0000e-006 0.00 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDA 0.02 0.21tblVehicleEF LDA 0.06 0.06tblVehicleEF LDA 1.9570e-003 2.1560e-003tblVehicleEF LDA 4.1500e-004 5.5700e-004tblVehicleEF LDA 0.03 0.16tblVehicleEF LDA 0.12 0.20tblVehicleEF LDA 0.02 0.00tblVehicleEF LDA 2.9250e-003 3.8520e-003tblVehicleEF LDA 0.02 0.21tblVehicleEF LDA 0.06 0.06tblVehicleEF LDA 7.9200e-004 7.3600e-004tblVehicleEF LDA 1.1300e-003 1.3530e-003tblVehicleEF LDA 1.2290e-003 1.4710e-003tblVehicleEF LDA 0.02 2.2210e-003tblVehicleEF LDA 0.04 6.3460e-003tblVehicleEF LDA 8.6000e-004 8.0000e-004tblVehicleEF LDA 0.02 0.02tblVehicleEF LDA 0.12 0.18tblVehicleEF LDA 2.9620e-003 2.8890e-003tblVehicleEF LDA 0.02 0.02tblVehicleEF LDA 197.85 218.14tblVehicleEF LDA 41.93 56.38tblVehicleEF LDA 0.38 0.43tblVehicleEF LDA 1.70 2.12tblVehicleEF LDA 8.5200e-004 1.0910e-003tblVehicleEF LDA 0.03 0.04tblVehicleEF HHD 1.5200e-004 3.9100e-004tblVehicleEF HHD 1.6000e-005 2.0000e-006tblVehicleEF HHD 0.23 0.21 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDT1 0.03 0.31tblVehicleEF LDT1 2.3360e-003 2.8230e-003tblVehicleEF LDT1 4.9600e-004 7.1700e-004tblVehicleEF LDT1 0.05 0.24tblVehicleEF LDT1 0.13 0.27tblVehicleEF LDT1 0.03 0.00tblVehicleEF LDT1 4.4220e-003 9.0470e-003tblVehicleEF LDT1 0.03 0.31tblVehicleEF LDT1 0.07 0.08tblVehicleEF LDT1 9.1100e-004 9.5500e-004tblVehicleEF LDT1 1.2790e-003 1.6230e-003tblVehicleEF LDT1 1.3910e-003 1.7650e-003tblVehicleEF LDT1 0.02 2.7870e-003tblVehicleEF LDT1 0.04 7.9630e-003tblVehicleEF LDT1 9.9000e-004 1.0380e-003tblVehicleEF LDT1 0.03 0.05tblVehicleEF LDT1 0.14 0.23tblVehicleEF LDT1 3.1790e-003 4.5000e-003tblVehicleEF LDT1 0.02 0.03tblVehicleEF LDT1 236.05 285.53tblVehicleEF LDT1 50.08 72.58tblVehicleEF LDT1 0.44 0.66tblVehicleEF LDT1 1.81 2.84tblVehicleEF LDT1 1.1990e-003 2.2150e-003tblVehicleEF LDT1 0.03 0.06tblVehicleEF LDA 0.03 0.16tblVehicleEF LDA 0.13 0.22tblVehicleEF LDA 0.02 0.00tblVehicleEF LDA 4.2480e-003 5.6170e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LDT2 2.3850e-003 2.9270e-003tblVehicleEF LDT2 5.0900e-004 7.3300e-004tblVehicleEF LDT2 0.05 0.12tblVehicleEF LDT2 0.16 0.22tblVehicleEF LDT2 0.03 0.00tblVehicleEF LDT2 4.7820e-003 5.1450e-003tblVehicleEF LDT2 0.03 0.16tblVehicleEF LDT2 0.06 0.04tblVehicleEF LDT2 9.0400e-004 8.1200e-004tblVehicleEF LDT2 1.2080e-003 1.3780e-003tblVehicleEF LDT2 1.3140e-003 1.4990e-003tblVehicleEF LDT2 0.02 2.7180e-003tblVehicleEF LDT2 0.04 7.7670e-003tblVehicleEF LDT2 9.8200e-004 8.8300e-004tblVehicleEF LDT2 0.03 0.03tblVehicleEF LDT2 0.15 0.21tblVehicleEF LDT2 3.4280e-003 3.6740e-003tblVehicleEF LDT2 0.02 0.03tblVehicleEF LDT2 241.10 296.13tblVehicleEF LDT2 51.42 74.14tblVehicleEF LDT2 0.47 0.52tblVehicleEF LDT2 2.22 2.46tblVehicleEF LDT2 1.3110e-003 1.4510e-003tblVehicleEF LDT2 0.04 0.05tblVehicleEF LDT1 0.05 0.24tblVehicleEF LDT1 0.14 0.29tblVehicleEF LDT1 0.03 0.00tblVehicleEF LDT1 6.4520e-003 0.01tblVehicleEF LDT1 0.07 0.08 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD1 2.4740e-003 2.3160e-003tblVehicleEF LHD1 8.7600e-004 5.9000e-004tblVehicleEF LHD1 0.03 0.03tblVehicleEF LHD1 5.8960e-003 6.6480e-003tblVehicleEF LHD1 2.0100e-004 1.0400e-004tblVehicleEF LHD1 0.08 0.07tblVehicleEF LHD1 9.8940e-003 9.2640e-003tblVehicleEF LHD1 0.20 0.30tblVehicleEF LHD1 9.1600e-004 6.1700e-004tblVehicleEF LHD1 0.04 0.03tblVehicleEF LHD1 0.18 0.18tblVehicleEF LHD1 0.04 0.03tblVehicleEF LHD1 0.02 0.03tblVehicleEF LHD1 9.94 16.36tblVehicleEF LHD1 7.0800e-004 5.3200e-004tblVehicleEF LHD1 8.08 7.48tblVehicleEF LHD1 689.79 647.78tblVehicleEF LHD1 0.40 0.47tblVehicleEF LHD1 0.86 2.16tblVehicleEF LHD1 7.3910e-003 0.01tblVehicleEF LHD1 0.18 0.18tblVehicleEF LHD1 3.9860e-003 4.1000e-003tblVehicleEF LHD1 4.4850e-003 2.8900e-003tblVehicleEF LDT2 0.05 0.12tblVehicleEF LDT2 0.17 0.24tblVehicleEF LDT2 0.03 0.00tblVehicleEF LDT2 6.9400e-003 7.4940e-003tblVehicleEF LDT2 0.03 0.16tblVehicleEF LDT2 0.06 0.04 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD2 6.49 8.64tblVehicleEF LHD2 1.6020e-003 1.5980e-003tblVehicleEF LHD2 12.62 12.88tblVehicleEF LHD2 670.16 684.09tblVehicleEF LHD2 0.44 0.32tblVehicleEF LHD2 0.49 1.19tblVehicleEF LHD2 4.1310e-003 7.5520e-003tblVehicleEF LHD2 0.13 0.14tblVehicleEF LHD2 2.4420e-003 2.3110e-003tblVehicleEF LHD2 4.9160e-003 3.5820e-003tblVehicleEF LHD1 0.14 0.08tblVehicleEF LHD1 0.04 0.07tblVehicleEF LHD1 5.9000e-004 0.00tblVehicleEF LHD1 0.08 0.04tblVehicleEF LHD1 0.04 0.01tblVehicleEF LHD1 0.02 0.02tblVehicleEF LHD1 9.8000e-005 1.6200e-004tblVehicleEF LHD1 8.5500e-004 0.06tblVehicleEF LHD1 7.8000e-005 7.3000e-005tblVehicleEF LHD1 6.7280e-003 6.3250e-003tblVehicleEF LHD1 0.14 0.08tblVehicleEF LHD1 0.03 0.07tblVehicleEF LHD1 5.9000e-004 0.00tblVehicleEF LHD1 0.07 0.04tblVehicleEF LHD1 0.04 0.01tblVehicleEF LHD1 0.02 0.02tblVehicleEF LHD1 1.8500e-004 9.6000e-005tblVehicleEF LHD1 8.5500e-004 0.06tblVehicleEF LHD1 5.5970e-003 6.3310e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF LHD2 3.0400e-004 0.00tblVehicleEF LHD2 0.02 8.3390e-003tblVehicleEF LHD2 0.02 0.02tblVehicleEF LHD2 6.4000e-005 8.5000e-005tblVehicleEF LHD2 4.2300e-004 0.03tblVehicleEF LHD2 1.2100e-004 1.2300e-004tblVehicleEF LHD2 6.4670e-003 6.5820e-003tblVehicleEF LHD2 0.05 0.05tblVehicleEF LHD2 0.02 0.04tblVehicleEF LHD2 3.0400e-004 0.00tblVehicleEF LHD2 0.09 0.07tblVehicleEF LHD2 0.02 8.3390e-003tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 9.9000e-005 4.6000e-005tblVehicleEF LHD2 4.2300e-004 0.03tblVehicleEF LHD2 2.7060e-003 2.6170e-003tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 1.4100e-003 1.3670e-003tblVehicleEF LHD2 0.04 0.03tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 1.0700e-004 5.0000e-005tblVehicleEF LHD2 0.09 0.09tblVehicleEF LHD2 0.01 0.01tblVehicleEF LHD2 0.12 0.16tblVehicleEF LHD2 1.4740e-003 1.4290e-003tblVehicleEF LHD2 0.06 0.06tblVehicleEF LHD2 0.21 0.28tblVehicleEF LHD2 0.06 0.07tblVehicleEF LHD2 0.01 0.01 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MCY 0.61 0.07tblVehicleEF MCY 0.49 3.54tblVehicleEF MCY 2.1040e-003 1.8310e-003tblVehicleEF MCY 5.8200e-004 3.9200e-004tblVehicleEF MCY 0.39 3.67tblVehicleEF MCY 1.89 1.03tblVehicleEF MCY 0.36 0.00tblVehicleEF MCY 2.13 0.79tblVehicleEF MCY 0.61 2.69tblVehicleEF MCY 0.49 3.54tblVehicleEF MCY 2.0680e-003 1.9300e-003tblVehicleEF MCY 2.8140e-003 3.4020e-003tblVehicleEF MCY 3.0130e-003 3.6390e-003tblVehicleEF MCY 5.0400e-003 4.2000e-003tblVehicleEF MCY 0.01 0.01tblVehicleEF MCY 2.2180e-003 2.0690e-003tblVehicleEF MCY 1.14 0.47tblVehicleEF MCY 0.27 0.09tblVehicleEF MCY 0.07 0.04tblVehicleEF MCY 0.02 5.5840e-003tblVehicleEF MCY 212.58 185.26tblVehicleEF MCY 58.78 39.68tblVehicleEF MCY 17.76 9.71tblVehicleEF MCY 9.39 7.58tblVehicleEF MCY 0.32 0.13tblVehicleEF MCY 0.25 0.14tblVehicleEF LHD2 0.05 0.05tblVehicleEF LHD2 0.02 0.04tblVehicleEF LHD2 0.11 0.08 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MDV 0.03 0.17tblVehicleEF MDV 2.8580e-003 3.4850e-003tblVehicleEF MDV 5.9800e-004 8.6800e-004tblVehicleEF MDV 0.05 0.13tblVehicleEF MDV 0.16 0.24tblVehicleEF MDV 0.04 0.00tblVehicleEF MDV 4.5430e-003 5.3030e-003tblVehicleEF MDV 0.03 0.17tblVehicleEF MDV 0.07 0.05tblVehicleEF MDV 8.8200e-004 7.9000e-004tblVehicleEF MDV 1.1810e-003 1.3510e-003tblVehicleEF MDV 1.2840e-003 1.4690e-003tblVehicleEF MDV 0.02 2.7250e-003tblVehicleEF MDV 0.04 7.7870e-003tblVehicleEF MDV 9.5700e-004 8.5800e-004tblVehicleEF MDV 0.02 0.03tblVehicleEF MDV 0.15 0.22tblVehicleEF MDV 4.5060e-003 4.1700e-003tblVehicleEF MDV 0.02 0.03tblVehicleEF MDV 289.25 352.66tblVehicleEF MDV 60.44 87.77tblVehicleEF MDV 0.45 0.52tblVehicleEF MDV 2.21 2.46tblVehicleEF MDV 1.2400e-003 1.4660e-003tblVehicleEF MDV 0.04 0.05tblVehicleEF MCY 0.39 3.67tblVehicleEF MCY 2.06 1.12tblVehicleEF MCY 0.36 0.00tblVehicleEF MCY 2.68 0.98 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MH 2.9870e-003 0.07tblVehicleEF MH 0.07 0.08tblVehicleEF MH 0.08 0.00tblVehicleEF MH 0.03 0.04tblVehicleEF MH 0.16 10.82tblVehicleEF MH 0.01 2.82tblVehicleEF MH 8.6970e-003 0.01tblVehicleEF MH 2.0500e-004 2.2800e-004tblVehicleEF MH 0.06 0.02tblVehicleEF MH 3.2890e-003 3.3360e-003tblVehicleEF MH 9.1290e-003 0.01tblVehicleEF MH 2.2300e-004 2.4800e-004tblVehicleEF MH 0.13 0.04tblVehicleEF MH 0.01 0.01tblVehicleEF MH 0.84 1.00tblVehicleEF MH 0.22 0.25tblVehicleEF MH 0.05 0.07tblVehicleEF MH 0.03 0.03tblVehicleEF MH 1,315.39 1,657.15tblVehicleEF MH 15.06 19.91tblVehicleEF MH 0.22 0.26tblVehicleEF MH 1.59 1.85tblVehicleEF MH 4.0670e-003 4.8170e-003tblVehicleEF MH 0.02 0.02tblVehicleEF MDV 0.05 0.13tblVehicleEF MDV 0.18 0.26tblVehicleEF MDV 0.04 0.00tblVehicleEF MDV 6.5690e-003 7.7170e-003tblVehicleEF MDV 0.07 0.05 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF MHD 0.06 0.02tblVehicleEF MHD 1.1300e-004 1.1800e-004tblVehicleEF MHD 1.1100e-004 6.0800e-004tblVehicleEF MHD 0.13 0.04tblVehicleEF MHD 6.3200e-003 5.3910e-003tblVehicleEF MHD 1.67 1.12tblVehicleEF MHD 1.1600e-004 6.3600e-004tblVehicleEF MHD 0.29 0.66tblVehicleEF MHD 1.31 0.56tblVehicleEF MHD 0.12 0.13tblVehicleEF MHD 8.0480e-003 6.8930e-003tblVehicleEF MHD 8.66 9.48tblVehicleEF MHD 7.8550e-003 0.02tblVehicleEF MHD 55.53 130.08tblVehicleEF MHD 958.82 1,103.52tblVehicleEF MHD 0.14 0.16tblVehicleEF MHD 0.87 0.98tblVehicleEF MHD 8.5280e-003 9.1350e-003tblVehicleEF MHD 0.38 0.63tblVehicleEF MHD 3.9010e-003 0.02tblVehicleEF MHD 9.3700e-004 9.6240e-003tblVehicleEF MH 2.9870e-003 0.07tblVehicleEF MH 0.08 0.09tblVehicleEF MH 0.08 0.00tblVehicleEF MH 0.04 0.05tblVehicleEF MH 0.16 10.82tblVehicleEF MH 0.01 2.82tblVehicleEF MH 0.01 0.02tblVehicleEF MH 1.4900e-004 1.9700e-004 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF OBUS 11.93 7.62tblVehicleEF OBUS 0.02 0.01tblVehicleEF OBUS 104.99 88.87tblVehicleEF OBUS 1,195.47 1,192.98tblVehicleEF OBUS 0.22 0.16tblVehicleEF OBUS 1.34 0.83tblVehicleEF OBUS 0.01 8.2390e-003tblVehicleEF OBUS 0.67 0.50tblVehicleEF OBUS 6.7860e-003 6.9140e-003tblVehicleEF OBUS 1.7360e-003 0.01tblVehicleEF MHD 0.01 0.03tblVehicleEF MHD 0.05 0.05tblVehicleEF MHD 1.5500e-004 0.00tblVehicleEF MHD 0.01 0.03tblVehicleEF MHD 0.01 3.9100e-003tblVehicleEF MHD 0.02 0.04tblVehicleEF MHD 8.6000e-005 9.4000e-005tblVehicleEF MHD 2.1500e-004 0.02tblVehicleEF MHD 5.2700e-004 1.1950e-003tblVehicleEF MHD 9.1510e-003 0.01tblVehicleEF MHD 0.01 0.03tblVehicleEF MHD 0.04 0.05tblVehicleEF MHD 1.5500e-004 0.00tblVehicleEF MHD 0.01 0.02tblVehicleEF MHD 0.01 3.9100e-003tblVehicleEF MHD 0.02 0.02tblVehicleEF MHD 1.0400e-004 1.0900e-004tblVehicleEF MHD 2.1500e-004 0.02tblVehicleEF MHD 6.0400e-003 5.1470e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF OBUS 0.03 0.03tblVehicleEF OBUS 3.8500e-004 0.00tblVehicleEF OBUS 0.02 0.03tblVehicleEF OBUS 0.01 6.5600e-003tblVehicleEF OBUS 0.06 0.04tblVehicleEF OBUS 1.1800e-004 7.5000e-005tblVehicleEF OBUS 6.9700e-004 0.03tblVehicleEF OBUS 9.9600e-004 8.3400e-004tblVehicleEF OBUS 0.01 0.01tblVehicleEF OBUS 0.03 0.03tblVehicleEF OBUS 0.07 0.04tblVehicleEF OBUS 3.8500e-004 0.00tblVehicleEF OBUS 0.01 0.02tblVehicleEF OBUS 0.01 6.5600e-003tblVehicleEF OBUS 0.05 0.03tblVehicleEF OBUS 1.3400e-004 7.7000e-005tblVehicleEF OBUS 6.9700e-004 0.03tblVehicleEF OBUS 0.06 0.02tblVehicleEF OBUS 7.7140e-003 7.2850e-003tblVehicleEF OBUS 1.4600e-004 8.4000e-005tblVehicleEF OBUS 1.4900e-004 1.9800e-004tblVehicleEF OBUS 0.13 0.05tblVehicleEF OBUS 8.0770e-003 7.6200e-003tblVehicleEF OBUS 1.22 1.02tblVehicleEF OBUS 1.5600e-004 2.0700e-004tblVehicleEF OBUS 0.47 0.34tblVehicleEF OBUS 1.49 0.65tblVehicleEF OBUS 0.12 0.16tblVehicleEF OBUS 0.01 7.5270e-003 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF SBUS 0.01 0.01tblVehicleEF SBUS 0.71 0.33tblVehicleEF SBUS 1.7400e-004 8.6000e-005tblVehicleEF SBUS 1.0240e-003 0.05tblVehicleEF SBUS 2.4240e-003 2.4700e-003tblVehicleEF SBUS 0.01 6.7620e-003tblVehicleEF SBUS 1.7210e-003 7.2300e-004tblVehicleEF SBUS 0.32 0.02tblVehicleEF SBUS 0.01 7.0920e-003tblVehicleEF SBUS 1.8900e-004 9.4000e-005tblVehicleEF SBUS 0.74 0.04tblVehicleEF SBUS 9.6950e-003 9.8790e-003tblVehicleEF SBUS 0.99 0.50tblVehicleEF SBUS 1.7990e-003 7.5800e-004tblVehicleEF SBUS 2.28 1.04tblVehicleEF SBUS 2.37 1.45tblVehicleEF SBUS 0.08 0.09tblVehicleEF SBUS 0.01 6.2860e-003tblVehicleEF SBUS 11.09 6.59tblVehicleEF SBUS 0.04 0.02tblVehicleEF SBUS 372.76 200.53tblVehicleEF SBUS 883.04 857.53tblVehicleEF SBUS 0.52 0.91tblVehicleEF SBUS 2.02 1.22tblVehicleEF SBUS 0.01 8.9860e-003tblVehicleEF SBUS 5.81 2.80tblVehicleEF SBUS 0.16 0.11tblVehicleEF SBUS 5.7190e-003 0.07tblVehicleEF OBUS 0.07 0.05 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied tblVehicleEF UBUS 0.03 0.05tblVehicleEF UBUS 4.9300e-003 3.9500e-003tblVehicleEF UBUS 9.1000e-005 2.5000e-005tblVehicleEF UBUS 0.08 0.16tblVehicleEF UBUS 0.03 0.06tblVehicleEF UBUS 0.67 0.21tblVehicleEF UBUS 0.07 0.04tblVehicleEF UBUS 0.27 0.14tblVehicleEF UBUS 5.7250e-003 6.8380e-003tblVehicleEF UBUS 1,616.16 954.90tblVehicleEF UBUS 7.49 5.22tblVehicleEF UBUS 13.25 7.38tblVehicleEF UBUS 0.82 0.83tblVehicleEF UBUS 1.75 0.64tblVehicleEF UBUS 8.0630e-003 4.5120e-003tblVehicleEF SBUS 0.02 0.04tblVehicleEF SBUS 0.09 0.06tblVehicleEF SBUS 5.6900e-004 0.00tblVehicleEF SBUS 0.07 0.13tblVehicleEF SBUS 0.01 0.01tblVehicleEF SBUS 1.03 0.51tblVehicleEF SBUS 1.1000e-004 6.5000e-005tblVehicleEF SBUS 1.0240e-003 0.05tblVehicleEF SBUS 3.5870e-003 1.8280e-003tblVehicleEF SBUS 8.5360e-003 8.0270e-003tblVehicleEF SBUS 0.02 0.04tblVehicleEF SBUS 0.08 0.05tblVehicleEF SBUS 5.6900e-004 0.00tblVehicleEF SBUS 0.06 0.05 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

2.2 Overall Operational2.0 Emissions Summary
tblVehicleTrips WD_TR 0.78 0.00tblVehicleTrips WD_TR 11.26 7.32tblVehicleTrips SU_TR 2.19 0.00tblVehicleTrips SU_TR 1.11 0.72tblVehicleTrips ST_TR 1.96 0.00tblVehicleTrips ST_TR 1.90 1.23 tblVehicleEF UBUS 5.1800e-004 0.01tblVehicleEF UBUS 0.04 0.02tblVehicleEF UBUS 8.4000e-005 0.00tblVehicleEF UBUS 1.79 0.69tblVehicleEF UBUS 1.3500e-004 0.01tblVehicleEF UBUS 1.6730e-003 3.4250e-003tblVehicleEF UBUS 0.01 7.2300e-003tblVehicleEF UBUS 7.4000e-005 5.2000e-005tblVehicleEF UBUS 5.1800e-004 0.01tblVehicleEF UBUS 0.04 0.02tblVehicleEF UBUS 8.4000e-005 0.00tblVehicleEF UBUS 0.03 0.05tblVehicleEF UBUS 1.3500e-004 0.01tblVehicleEF UBUS 1.6730e-003 3.4250e-003tblVehicleEF UBUS 4.7140e-003 3.7730e-003tblVehicleEF UBUS 8.3000e-005 2.3000e-005tblVehicleEF UBUS 7.8010e-003 0.02 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

6.2400e- 0.0520 0.0473 1,281.9927
003

0.0137 1.3661 6.7000e- 0.3468 0.0000 1,266.6016 1,266.6016 003
Mobile 0.6794 0.4107 4.8140 1.3728 0.3405
386.7889 386.7889 7.4100e003 7.0900e-003 389.0874

3.0000e005 0.0000 0.0123
Energy 0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Area 1.3219 5.0000e-005 5.9100e- 2.0000e-005 003 CH4 N2O CO2e
Category tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

5.0653 0.1660 1,951.5306
Mitigated Operational
Total 2.1944 1.4547 5.5109 0.0166 1.3661 0.0564 1.4224 0.3405 0.0559 0.3964 50.5768 1,724.8587 1,775.4354

0.0000 46.0176 4.7265 0.1116 197.4361

0.2694 0.0000 11.2952
Water 0.0000 0.0000 0.0000 0.0000 46.0176
Waste 0.0000 0.0000 0.0000 0.0000 4.5592 0.0000 4.5592

71.4566 71.4566 0.0100 0.0000 71.7071

0.0520 0.0473 1,281.9927
Stationary 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000

6.2400e003 0.0137 1.3661 6.7000e- 0.3468 0.0000 1,266.6016 1,266.6016 003 Mobile 0.6794 0.4107 4.8140 1.3728 0.3405 386.7889 386.7889 7.4100e003 7.0900e-003 389.0874

3.0000e005 0.0000 0.0123
Energy 0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Area 1.3219 5.0000e-005 5.9100e- 2.0000e-005 003 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated Operational
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied 4,071,667
Total 2,159.40 362.85 212.40 4,071,667 4,071,667
Research & Development 2,159.40 362.85 212.40 4,071,667 Other Asphalt Surfaces 0.00 0.00 0.00
Enclosed Parking with Elevator 0.00 0.00 0.00
Annual VMT
City Park 0.00 0.00 0.00
Land Use Weekday Saturday Sunday Annual VMT

0.0520 0.0473 1,281.9927

4.2 Trip Summary Information
Average Daily Trip Rate Unmitigated Mitigated
1,281.9927
Unmitigated 0.6794 0.4107 4.8140 0.0137 1.3661 6.7000e003 1.3728 0.3405 6.2400e- 003 0.3468 0.0000 1,266.6016 1,266.6016

0.0000 1,266.6016 1,266.6016 0.0520 0.0473
CO2e
Category tons/yr MT/yrMitigated 0.6794 0.4107 4.8140 0.0137 1.3661 6.7000e003 1.3728 0.3405 6.2400e- 003 0.3468 Exhaust Bio- CO2 NBio- CO2 Total CO2 CH4 N2O
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5 Total

4.0 Operational Detail - Mobile4.1 Mitigation Measures Mobile ROG NOx CO SO2 Fugitive
PM10

0.00 0.00 0.00 0.00 0.00
Total CO2 CH4 N20 CO2e
Percent
Reduction

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

5.0653 0.1660 1,951.5306
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2 NBio-CO2
Total 2.1944 1.4547 5.5109 0.0166 1.3661 0.0564 1.4224 0.3405 0.0559 0.3964 50.5768 1,724.8587 1,775.4354

0.0000 46.0176 4.7265 0.1116 197.4361

0.2694 0.0000 11.2952
Water 0.0000 0.0000 0.0000 0.0000 46.0176
Waste 0.0000 0.0000 0.0000 0.0000 4.5592 0.0000 4.5592
Stationary 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000 71.4566 71.4566 0.0100 0.0000 71.7071 CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Electricity Mitigated 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 N2O CO2e
Category tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Historical Energy Use: N

5.1 Mitigation Measures Energy
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.000645 0.024811 0.000394 0.002146

5.0 Energy Detail
Research & Development 0.392609 0.040642 0.308969 0.177896 0.031644 0.007414 0.008262 0.002362 0.002204

0.000394 0.002146
Other Asphalt Surfaces 0.392609 0.040642 0.308969 0.177896 0.031644 0.007414 0.008262 0.002362 0.002204 0.000645 0.024811 0.000394 0.002146

0.000645 0.024811 0.000394 0.002146
Enclosed Parking with Elevator 0.392609 0.040642 0.308969 0.177896 0.031644 0.007414 0.008262 0.002362 0.002204 0.000645 0.024811 City Park 0.392609 0.040642 0.308969 0.177896 0.031644 0.007414 0.008262 0.002362 0.002204 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH

4.4 Fleet Mix
Land Use LDA LDT1 LDT2
Research & Development 9.50 7.30 7.30 33.00 48.00 19.00 82 15 3 Other Asphalt Surfaces 9.50 7.30 7.30 0.00 0.00 0.00 0 0 0 Enclosed Parking with Elevator 9.50 7.30 7.30 0.00 0.00 0.00 0 0 0 City Park 9.50 7.30 7.30 33.00 48.00 19.00 66 28 6
Land Use H-W or C-W H-S or C-C H-O or C-NW H-W or C-W H-S or C-C H-O or C-NW Primary Diverted Pass-by

4.3 Trip Type Information
Miles Trip % Trip Purpose %
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4 N2O CO2e

7.0900e003 389.0874
Mitigated
NaturalGa
s Use
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0270 0.0000 386.7889 386.7889 7.4100e-003
386.7889 7.4100e-003 7.0900e003 389.0874
Total 0.0391 0.3553 0.2985 2.1300e003 0.0270 0.0270 0.0270

0.2985 2.1300e- 0.0270 0.0270 0.0000 386.7889
003
Research & 0.0270 0.0270
Development

7.24815e+
006

0.0391 0.3553

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
City Park 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 CH4 N2O CO2e
Land Use kBTU/yr tons/yr MT/yr
Exhaust
PM2.5
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2

5.2 Energy by Land Use - NaturalGas
Unmitigated
NaturalGa
s Use
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
386.7889 386.7889 7.4100e003 7.0900e-003 389.0874

7.4100e003 7.0900e-003 389.0874
NaturalGas
Unmitigated

0.0391 0.3553 0.2985 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000 NaturalGas 2.1300e-003 0.0270 0.0270 0.0270 0.0270 0.0000 386.7889 386.7889 Mitigated

0.0391 0.3553 0.2985
Electricity 0.0000 0.0000 0.0000 0.0000 0.0000
Unmitigated

0.0000 0.0000 0.0000 0.0000 0.0000
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Mitigated

0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000
Research &
Development

2.19185e+
006

0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
850811 0.0000 0.0000
Land Use kWh/yr t
on
MT/yr
City Park 0 0.0000 0.0000 0.0000 0.0000

7.0900e003 389.0874

5.3 Energy by Land Use - Electricity
Unmitigated
Electricity
Use
Total CO2 CH4 N2O CO2e

0.0270 0.0000 386.7889 386.7889 7.4100e-003
386.7889 7.4100e-003 7.0900e003 389.0874
Total 0.0391 0.3553 0.2985 2.1300e003 0.0270 0.0270 0.0270

0.2985 2.1300e- 0.0270 0.0270 0.0000 386.7889
003
Research & 0.0270 0.0270
Development

7.24815e+
006

0.0391 0.3553

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
City Park 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Land Use kBTU/yr tons/yr MT/yr
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

3.0000e005 0.0000 0.0123

0.0123
Unmitigated 1.3219 5.0000e-005 5.9100e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000 0.0115 0.0115

0.0000 0.0115 0.0115 3.0000e005 0.0000
CO2e
Category tons/yr MT/yrMitigated 1.3219 5.0000e-005 5.9100e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 Exhaust Bio- CO2 NBio- CO2 Total CO2 CH4 N2O
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
PM2.5 Total

6.0 Area Detail6.1 Mitigation Measures Area
ROG NOx CO SO2 Fugitive
PM10

0.0000 0.0000
Total 0.0000 0.0000 0.0000 0.0000
Research &
Development

2.19185e+
006

0.0000 0.0000

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
850811 0.0000 0.0000
Land Use kWh/yr t
on
MT/yr
City Park 0 0.0000 0.0000 0.0000 0.0000
Electricity
Use
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
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580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0115 0.0115 3.0000e005 0.0000 0.0123

3.0000e005 0.0000 0.0123
Total 1.3219 5.0000e-005 5.9100e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Landscaping 5.4000e- 2.0000e-005 004 5.0000e-005 5.9100e- 003

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Consumer
Products

1.1639 0.0000 0.0000 0.0000 0.0000 0.0000
Architectural 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Coating

0.1575
N2O CO2e
SubCategory tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Mitigated
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5

0.0115 0.0115 3.0000e005 0.0000 0.0123

3.0000e005 0.0000 0.0123
Total 1.3219 5.0000e-005 5.9100e003 0.0000 2.0000e- 005 2.0000e-005 2.0000e- 005 2.0000e-005 0.0000

2.0000e005 0.0000 2.0000e- 2.0000e-005 0.0000 0.0115 0.0115 005 Landscaping 5.4000e- 2.0000e-005 004 5.0000e-005 5.9100e- 003

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.0000 0.0000
Consumer
Products

1.1639 0.0000 0.0000 0.0000 0.0000 0.0000
Architectural 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 Coating

0.1575
CH4 N2O CO2e
SubCategory tons/yr MT/yr
Exhaust
PM2.5
SO2 Fugitive PM2.5 Total Bio- CO2 NBio- CO2 Total CO2
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
ROG NOx CO

6.2 Area by SubCategory
Unmitigated
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

0.0000 0.0000
Other Asphalt
Surfaces
0 / 0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 / 0 0.0000 0.0000
Land Use Mgal t
on
MT/yr
City Park 0 /

0.595741

0.0000 0.0000 0.0000 0.0000
197.4361

7.2 Water by Land Use
Unmitigated
Indoor/Out
door Use
Total CO2 CH4 N2O CO2e
Unmitigated 46.0176 4.7265 0.1116
Category t
on
MT/yr
Mitigated 46.0176 4.7265 0.1116 197.4361

7.0 Water Detail7.1 Mitigation Measures Water
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
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580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

8.0 Waste Detail8.1 Mitigation Measures Waste
Category/Year

0.1116 197.4361
Total 46.0176 4.7265 0.1116 197.4361
Research &
Development
145.05 / 0 46.0176 4.7265

0.0000 0.0000
Other Asphalt
Surfaces
0 / 0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 / 0 0.0000 0.0000
Land Use Mgal t
on
MT/yr
City Park 0 /

0.595741

0.0000 0.0000 0.0000 0.0000
Mitigated
Indoor/Out
door Use
Total CO2 CH4 N2O CO2e

0.1116 197.4361
Total 46.0176 4.7265 0.1116 197.4361
Research &
Development
145.05 / 0 46.0176 4.7265
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
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580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied Mitigated

0.0000 11.2751
Total 4.5592 0.2694 0.0000 11.2952
Research &
Development

22.42 4.5511 0.2690

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000
Land Use tons t
on
MT/yr
City Park 0.04 8.1200e003 4.8000e-004 0.0000 0.0201

11.2952

8.2 Waste by Land Use
Unmitigated
Waste
Disposed
Total CO2 CH4 N2O CO2e
Unmitigated 4.5592 0.2694 0.0000
ton
MT/yr
Mitigated 4.5592 0.2694 0.0000 11.2952
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

10.1 Stationary Sources
Boiler Rating Fuel Type
User Defined Equipment
Equipment Type Number
Boilers
Equipment Type Number Heat Input/Day Heat Input/Year
Load Factor Fuel Type
Emergency Generator 1 1 50 3753 0.73 Diesel
Equipment Type Number Hours/Day Hours/Year Horse Power
Horse Power Load Factor Fuel Type

10.0 Stationary Equipment
Fire Pumps and Emergency Generators

9.0 Operational Offroad
Equipment Type Number Hours/Day Days/Year

0.0000 11.2751
Total 4.5592 0.2694 0.0000 11.2952
Research &
Development

22.42 4.5511 0.2690

0.0000 0.0000
Other Asphalt
Surfaces
0 0.0000 0.0000 0.0000 0.0000
Enclosed Parking
with Elevator
0 0.0000 0.0000
Land Use tons t
on
MT/yr
City Park 0.04 8.1200e003 4.8000e-004 0.0000 0.0201
Waste
Disposed
Total CO2 CH4 N2O CO2e
CalEEMod Version: CalEEMod.2020.4.0 Page 1 of 1
Date: 11/18/2021 9:34 AM
580 Dubuque R&D - San Mateo County, Annual
EMFAC Off-Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Not Applied

11.0 Vegetation

71.4566 71.4566 0.0100 0.0000 71.7071

0.0100 0.0000 71.7071
Total 0.1540 0.6886 0.3926 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000 Emergency 7.4000e-004 0.0227 0.0227 0.0227 0.0227 0.0000 71.4566 71.4566 Generator - Diesel
(750 9999 HP)

0.1540 0.6886 0.3926
N2O CO2e
Equipment Type tons/yr MT/yr
PM2.5 Total Bio- CO2 NBio- CO2 Total CO2 CH4
Unmitigated/Mitigated
ROG NOx CO SO2 Fugitive
PM10
Exhaust
PM10
PM10 Total Fugitive
PM2.5
Exhaust
PM2.5
Attachment 3: EMFAC2021 Calculations

Pollutants ROG NOx CO SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total NBio‐ CO2 CH4 N2O CO2e
YEAR
2022 0.0421 0.6828 0.6582 0.0039 0.1318 0.0322 0.1641 0.0198 0.0136 0.0335 384.5333 0.0480 0.0515 401.0681 2023 0.0418 0.6668 0.7066 0.0042 0.1481 0.0356 0.1837 0.0223 0.0149 0.0371 424.6888 0.0528 0.0568 442.9384 2024 0.0132 0.2153 0.2303 0.0014 0.0503 0.0120 0.0623 0.0076 0.0050 0.0126 141.5940 0.0173 0.0189 147.6677 2022 0.0301 0.1226 0.1839 0.0004 0.0109 0.0023 0.0132 0.0016 0.0010 0.0027 36.4283 0.0069 0.0053 38.18012023 0.0314 0.1298 0.1982 0.0004 0.0122 0.0025 0.0148 0.0018 0.0011 0.0029 40.1238 0.0078 0.0058 42.04992024 0.0100 0.0430 0.0642 0.0001 0.0041 0.0009 0.0050 0.0006 0.0004 0.0010 13.3828 0.0025 0.0019 14.0223 Summary of Construction Traffic Emissions (EMFAC2021)
Tons
Criteria Pollutants
Toxic Air Contaminants (1.0 Mile Trip Length)
Metric Tons
Phase
CalEEMod WORKER TRIPS
CalEEMod VENDOR TRIPS
Total Worker Trips
Total Vendor Trips
CalEEMod HAULING TRIPS
Worker Trip Length
Vendor Trip Length
Hauling Trip Length
Worker Vehicle Class
Vendor Vehicle Class
Hauling Vehicle Class
Worker
VMT
Vendor
VMT
Hauling
VMT
Demolition 8 0 40 0 11 10.8 7.3 20 LD_Mix HDT_Mix HHDT 432 0 220Site Preparation 10 0 40 0 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 432 0 0Soldier Piles/Micropiles 172 78 4300 1950 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 46440 14235 0 Dewatering 34 0 17612 0 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 190209.6 0 0Trenching/Foundation 5 0 700 0 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 7560 0 0Soil Remediation 5 0 240 0 9,502 10.8 7.3 20 LD_Mix HDT_Mix HHDT 2592 0 190040Grading 15 0 720 0 7,250 10.8 7.3 20 LD_Mix HDT_Mix HHDT 7776 0 145000Building Construction 172 78 24080 10920 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 260064 79716 0Building Interior 34 0 4624 0 0 10.8 7.3 20 LD_Mix HDT_Mix HHDT 49939.2 0 0Paving/landscaping/finishing 13 0 585 0 40 10.8 7.3 20 LD_Mix HDT_Mix HHDT 6318 0 800 2022 2/10/22 12/31/22 325 2332023 1/1/23 12/31/23 365 2612024 1/1/24 5/3/24 124 89 814 582 Total Workdays
Phase  Start Date End Date  Days/Week Workdays
Demolition 2/10/2022 2/16/2022 5 5Site Preparation 3/10/2022 3/15/2022 5 4Soldier Piles/Micropiles 4/22/2022 5/26/2022 5 25 Dewatering 4/22/2022 9/21/2023 5 518Trenching/Foundation 4/28/2022 11/9/2022 5 140Soil Remediation 5/27/2022 8/2/2022 5 48Grading 5/27/2022 8/2/2022 5 48Building Construction 7/14/2022 1/25/2023 5 140Building Interior 8/10/2023 2/15/2024 5 136Paving/landscaping/finishing 3/4/2024 5/3/2024 5 45 Number of Days Per Year
CalEEMod Construction Inputs
Source: EMFAC2021 (v1.0.1) Emission Rates
Region Type: CountyRegion: San MateoCalendar Year: 2022Season: AnnualVehicle Classification: EMFAC2007 CategoriesUnits:  miles/day for CVMT and EVMT, trips/day for Trips, kWh/day for Energy Consumption, g/mile for RUNEX, PMBW and PMTW, g/trip for STREX, HOTSOAK and RUNLOSS, g/vehicle/day for IDLEX and DIURNRegion Calendar Y Vehicle CatModel Yea Speed Fuel Population Total VMT CVMT EVMT Trips Energy ConNOx_RUNENOx_IDLEXNOx_STREXPM2.5_RU PM2.5_IDL PM2.5_STRPM2.5_PMPM2.5_PMPM10_RUNPM10_IDLEPM10_STR PM10_PMTPM10_PMBCO2_RUNECO2_IDLEXCO2_STREXCH4_RUNECH4_IDLEXCH4_STREXN2O_RUNEN2O_IDLEXN2O_STREXROG_RUNEROG_IDLEXROG_STREXROG_HOTSROG_RUNLROG_DIUR TOG_RUNETOG_IDLEXTOG_STREXTOG_HOTSTOG_RUNLTOG_DIUR NH3_RUNECO_RUNEXCO_IDLEX CO_STREX SOx_RUNE SOx_IDLEX SOx_STREX San Mateo 2022 HHDT Aggregate Aggregate Gasoline 4.26179 607.5295 607.5295 0 85.26989 0 4.217209 0 0.00281 0.00146 0 0.000935 0.005 0.031258 0.001588 0 0.001017 0.02 0.089308 2276.876 0 54.98009 0.116906 0 0.000119 0.151563 0 0.000135 0.60109 0 0.000644 0.048478 0.400153 3.469663 0.877108 0 0.000705 0.048478 0.400153 3.469663 0.045 33.53367 0 6.080621 0.022509 0 0.000544 San Mateo 2022 HHDT Aggregate Aggregate Diesel 1289.917 118758.5 118758.5 0 13886.59 0 3.367467 50.13908 2.567805 0.026697 0.041054 0 0.00861 0.031515 0.027904 0.04291 0 0.03444 0.090042 1868.7 8522.619 0 0.001942 0.155104 0 0.294414 1.342742 0 0.041821 3.339355 0000 0.04761 3.801601 0000 0.186789 0.159005 43.82276 0 0.017695 0.080704 0 San Mateo 2022 HHDT Aggregate Aggregate Natural Ga 144.1612 9768.638 9768.638 0 950.7524 0 1.845139 10.30429 0 0.002051 0.011217 0 0.009 0.058943 0.00223 0.012199 0 0.036 0.168408 1557.751 8370.006 0 3.666383 25.60841 0 0.317558 1.706281 0 0.087249 0.429393 0000 3.781534 26.2076 0000 0.734123 18.35301 67.58246 0000San Mateo 2022 LDA Aggregate Aggregate Gasoline 240666.4 7995565 7995565 0 1130997 0 0.047702 0 0.275282 0.001241 0 0.002105 0.002 0.002347 0.00135 0 0.002289 0.008 0.006707 282.9533 0 72.26541 0.002546 0 0.077367 0.004869 0 0.033486 0.010142 0 0.368004 0.090257 0.23026 1.365279 0.014797 0 0.402916 0.090257 0.23026 1.365279 0.034582 0.726065 0 3.617602 0.002797 0 0.000714 San Mateo 2022 LDA Aggregate Aggregate Diesel 888.5395 22501.88 22501.88 0 3790.786 0 0.240012 0 0 0.015881 0 0 0.002 0.002391 0.016599 0 0 0.008 0.006831 236.6875 0 0 0.001267 0 0 0.03729 0 0 0.02727 00000 0.031045 00000 0.0031 0.330004 0 0 0.002243 0 0San Mateo 2022 LDA Aggregate Aggregate Electricity 14591.4 568258.7 0 568258.7 72996.66 219394.7 000000 0.002 0.001529 0 0 0 0.008 0.004368 0000000000000000000000000000San Mateo 2022 LDA Aggregate Aggregate Plug‐in Hyb 6271.758 249381.9 127562.4 121819.5 25933.72 36793.12 0.003286 0 0.117199 0.000663 0 0.002168 0.002 0.001311 0.000722 0 0.002358 0.008 0.003747 137.9916 0 66.6249 0.00043 0 0.042806 0.00058 0 0.020671 0.001381 0 0.176635 0.036142 0.032302 0.39726 0.002015 0 0.193393 0.036142 0.032302 0.39726 0.020013 0.205923 0 1.37819 0.001364 0 0.000659 San Mateo 2022 LDT1 Aggregate Aggregate Gasoline 24136.47 736196.1 736196.1 0 109571 0 0.134919 0 0.395074 0.001791 0 0.002798 0.002 0.002838 0.001948 0 0.003043 0.008 0.008107 332.0233 0 88.05436 0.00631 0 0.109218 0.009543 0 0.038745 0.028415 0 0.569782 0.157522 0.456069 2.467901 0.041436 0 0.623836 0.157522 0.456069 2.467901 0.036499 1.368916 0 5.624448 0.003282 0 0.000871 San Mateo 2022 LDT1 Aggregate Aggregate Diesel 8.510916 119.4982 119.4982 0 25.11455 0 1.690269 0 0 0.241464 0 0 0.002 0.00334 0.252382 0 0 0.008 0.009543 418.5155 0 0 0.014886 0 0 0.065937 0 0 0.320488 00000 0.364855 00000 0.0031 1.709562 0 0 0.003966 0 0 San Mateo 2022 LDT1 Aggregate Aggregate Electricity 61.93893 2054.9 0 2054.9 294.187 793.3611 000000 0.002 0.001538 0 0 0 0.008 0.004394 0000000000000000000000000000San Mateo 2022 LDT1 Aggregate Aggregate Plug‐in Hyb 19.40692 849.1339 406.2744 442.8594 80.24761 133.7567 0.003074 0 0.117199 0.000413 0 0.001456 0.002 0.001322 0.000449 0 0.001583 0.008 0.003777 129.0739 0 73.49717 0.000404 0 0.042967 0.000546 0 0.02082 0.001292 0 0.176635 0.024905 0.022892 0.287748 0.001885 0 0.193393 0.024905 0.022892 0.287748 0.020095 0.192615 0 1.37819 0.001276 0 0.000727 San Mateo 2022 LDT2 Aggregate Aggregate Gasoline 128775.8 4489208 4489208 0 617258.5 0 0.062575 0 0.324659 0.001272 0 0.002033 0.002 0.002716 0.001384 0 0.002212 0.008 0.007761 346.2249 0 88.33688 0.002639 0 0.081429 0.005428 0 0.036476 0.010335 0 0.378106 0.068121 0.172205 1.07279 0.015078 0 0.413978 0.068121 0.172205 1.07279 0.03686 0.748119 0 3.725451 0.003423 0 0.000873 San Mateo 2022 LDT2 Aggregate Aggregate Diesel 498.9179 17455.1 17455.1 0 2406.111 0 0.047726 0 0 0.005147 0 0 0.002 0.002738 0.00538 0 0 0.008 0.007822 319.776 0 0 0.000624 0 0 0.050381 0 0 0.013436 00000 0.015295 00000 0.0031 0.124515 0 0 0.00303 0 0San Mateo 2022 LDT2 Aggregate Aggregate Electricity 502.691 16536.35 0 16536.35 2591.33 6384.394 000000 0.002 0.001523 0 0 0 0.008 0.004353 0000000000000000000000000000San Mateo 2022 LDT2 Aggregate Aggregate Plug‐in Hyb 938.5352 39780.13 19647.25 20132.88 3880.843 6080.728 0.003173 0 0.117199 0.000533 0 0.001824 0.002 0.001316 0.00058 0 0.001984 0.008 0.003761 133.2387 0 79.72461 0.000417 0 0.042967 0.000564 0 0.02082 0.001334 0 0.176635 0.026237 0.024762 0.312901 0.001946 0 0.193393 0.026237 0.024762 0.312901 0.020712 0.19883 0 1.37819 0.001317 0 0.000788 San Mateo 2022 LHDT1 Aggregate Aggregate Gasoline 10003.64 379521.5 379521.5 0 149039.3 0 0.147855 0.036625 0.627998 0.001475 0 0.00028 0.002 0.0273 0.001604 0 0.000304 0.008 0.078 873.9961 119.3318 27.2104 0.00734 0.115266 0.0324 0.008388 0.003078 0.051835 0.036131 0.419759 0.159081 0.039876 0.21247 2.143205 0.052722 0.612512 0.174174 0.039876 0.21247 2.143205 0.044922 1.060707 3.758503 3.2802 0.00864 0.00118 0.000269 San Mateo 2022 LHDT1 Aggregate Aggregate Diesel 4125.911 163656.9 163656.9 0 51898.77 0 1.504213 1.931831 0 0.031512 0.027157 0 0.003 0.0273 0.032937 0.028385 0 0.012 0.078 637.8215 131.7515 0 0.007485 0.005098 0 0.100489 0.020757 0 0.161141 0.10976 0000 0.183448 0.124954 0000 0.175401 0.431298 0.909745 0 0.006044 0.001248 0 San Mateo 2022 LHDT2 Aggregate Aggregate Gasoline 1166.848 41928.69 41928.69 0 17384.3 0 0.172444 0.036335 0.63879 0.001438 0 0.000256 0.002 0.03185 0.001563 0 0.000279 0.008 0.091 987.4952 138.4793 25.88997 0.006917 0.113246 0.032524 0.010039 0.002938 0.050567 0.032554 0.416435 0.161154 0.042451 0.223651 2.256912 0.047503 0.60766 0.176444 0.042451 0.223651 2.256912 0.044984 0.96909 3.758162 3.27211 0.009762 0.001369 0.000256San Mateo 2022 LHDT2 Aggregate Aggregate Diesel 1718.365 70077.77 70077.77 0 21614.87 0 1.063364 1.845339 0 0.026451 0.026962 0 0.003 0.03185 0.027647 0.028181 0 0.012 0.091 760.4369 209.0317 0 0.0066 0.005098 0 0.119807 0.032933 0 0.142091 0.10976 0000 0.161761 0.124954 0000 0.190222 0.33983 0.909745 0 0.007206 0.001981 0San Mateo 2022 MCY Aggregate Aggregate Gasoline 11775.11 70029.62 70029.62 0 23550.22 0 0.563376 0 0.148145 0.00188 0 0.003836 0.001 0.0042 0.002007 0 0.00407 0.004 0.012 188.692 0 50.07102 0.159449 0 0.191389 0.038859 0 0.008671 1.054922 0 1.43267 3.559039 3.722371 3.591267 1.259821 0 1.557156 3.559039 3.722371 3.591267 0.008767 12.33015 0 7.963377 0.001865 0 0.000495 San Mateo 2022 MDV Aggregate Aggregate Gasoline 72399.54 2561532 2561532 0 344969.9 0 0.082284 0 0.405736 0.001302 0 0.002201 0.002 0.002736 0.001416 0 0.002394 0.008 0.007817 417.1287 0 107.0056 0.003285 0 0.097944 0.006421 0 0.03969 0.013708 0 0.489899 0.078175 0.208676 1.264413 0.019977 0 0.536373 0.078175 0.208676 1.264413 0.037279 0.822259 0 4.057961 0.004124 0 0.001058 San Mateo 2022 MDV Aggregate Aggregate Diesel 1048.144 37479.46 37479.46 0 5036.896 0 0.047538 0 0 0.004777 0 0 0.002 0.002777 0.004993 0 0 0.008 0.007934 415.9683 0 0 0.000486 0 0 0.065536 0 0 0.010456 00000 0.011904 00000 0.0031 0.180998 0 0 0.003942 0 0San Mateo 2022 MDV Aggregate Aggregate Electricity 497.6274 16375.41 0 16375.41 2565.598 6322.26 000000 0.002 0.001523 0 0 0 0.008 0.004351 0000000000000000000000000000San Mateo 2022 MDV Aggregate Aggregate Plug‐in Hyb 517.8537 21966.08 11106.12 10859.96 2141.325 3280.032 0.003248 0 0.117199 0.000662 0 0.002216 0.002 0.001313 0.00072 0 0.00241 0.008 0.003752 136.3969 0 99.02064 0.000428 0 0.043094 0.000581 0 0.020938 0.001365 0 0.176635 0.028658 0.027868 0.344841 0.001992 0 0.193393 0.028658 0.027868 0.344841 0.021235 0.203543 0 1.37819 0.001348 0 0.000979 San Mateo 2022 MH Aggregate Aggregate Gasoline 751.6488 7043.926 7043.926 0 75.19494 0 0.465552 0 0.403779 0.001863 0 0.00047 0.003 0.015756 0.002026 0 0.000512 0.012 0.045017 1948.174 0 32.24518 0.017921 0 0.039048 0.027477 0 0.041219 0.080748 0 0.17064 12.70927 0.296989 4.339134 0.117828 0 0.186829 12.70927 0.296989 4.339134 0.044744 2.072946 0 3.847624 0.01926 0 0.000319San Mateo 2022 MH Aggregate Aggregate Diesel 300.3894 3250.689 3250.689 0 30.03894 0 3.401996 0 0 0.063019 0 0 0.004 0.015675 0.065868 0 0 0.016 0.044785 1084.767 0 0 0.00458 0 0 0.170906 0 0 0.09861 00000 0.112261 00000 0.179676 0.315592 0 0 0.010279 0 0 San Mateo 2022 MHDT Aggregate Aggregate Gasoline 756.5401 44483.7 44483.7 0 15136.85 0 0.604094 0.088245 0.46581 0.00141 0 0.000575 0.003 0.015756 0.001534 0 0.000625 0.012 0.045017 1795.462 537.4412 47.64422 0.019663 0.256996 0.051354 0.028235 0.007106 0.034029 0.098372 1.009116 0.288081 0.038151 0.314095 2.937981 0.143545 1.4725 0.315413 0.038151 0.314095 2.937981 0.044954 2.080066 15.07471 6.396341 0.01775 0.005313 0.000471San Mateo 2022 MHDT Aggregate Aggregate Diesel 4156.051 174304 174304 0 49995.69 0 1.853334 15.89701 1.436117 0.023182 0.047988 0 0.003 0.015983 0.02423 0.050158 0 0.012 0.045666 1163.775 2327.752 0 0.002813 0.013999 0 0.183353 0.366738 0 0.060556 0.301404 0000 0.068939 0.343126 0000 0.193605 0.190383 7.265304 0 0.01102 0.022042 0San Mateo 2022 MHDT Aggregate Aggregate Natural Ga 40.6324 1873.257 1873.257 0 381.7521 0 0.153851 6.514328 0 0.001104 0.016957 0 0.003 0.016076 0.001201 0.018442 0 0.012 0.045932 1016.708 5323.016 0 0.747144 17.79445 0 0.207263 1.085132 0 0.010675 0.254248 0000 0.762515 18.16055 0000 1.06 3.046292 32.12184 0000San Mateo 2022 OBUS Aggregate Aggregate Gasoline 256.1924 15869.04 15869.04 0 5125.898 0 0.334451 0.065049 0.372974 0.000967 0 0.000281 0.003 0.01568 0.001052 0 0.000306 0.012 0.044799 1762.688 376.5742 30.5752 0.010394 0.20597 0.033776 0.01844 0.005899 0.032179 0.049248 0.746076 0.166832 0.02655 0.111811 1.875172 0.071862 1.088672 0.18266 0.02655 0.111811 1.875172 0.044917 1.079968 5.773479 3.517583 0.017426 0.003723 0.000302 San Mateo 2022 OBUS Aggregate Aggregate Diesel 1024.18 74221.67 74221.67 0 10035.19 0 1.072703 6.342591 1.429669 0.010592 0.00365 0 0.003 0.01742 0.011071 0.003815 0 0.012 0.04977 1257.365 1266.668 0 0.001405 0.014292 0 0.198098 0.199564 0 0.030244 0.307698 0000 0.03443 0.350291 0000 0.210134 0.116655 5.413261 0 0.011906 0.011995 0San Mateo 2022 OBUS Aggregate Aggregate Natural Ga 11.96887 654.3713 654.3713 0 106.5229 0 0.293719 1.58105 0 0.000566 0.002858 0 0.003 0.016148 0.000615 0.003109 0 0.012 0.046137 1069.812 1202.184 0 0.733013 4.775652 0 0.218088 0.245073 0 0.010473 0.068235 0000 0.748094 4.873903 0000 1.06 3.101343 5.006328 0000San Mateo 2022 SBUS Aggregate Aggregate Gasoline 57.57285 3267.931 3267.931 0 230.2914 0 0.981493 0.921357 0.655387 0.001299 0 0.000777 0.002 0.015721 0.001412 0 0.000845 0.008 0.044917 807.8108 2570.697 63.52492 0.024786 2.43655 0.092559 0.045477 0.081943 0.056213 0.121107 10.56494 0.538292 0.15493 0.449507 2.231691 0.17672 15.41634 0.589362 0.15493 0.449507 2.231691 0.045 3.134679 81.77802 13.70908 0.007986 0.025414 0.000628 San Mateo 2022 SBUS Aggregate Aggregate Diesel 168.1521 3799.171 3799.171 0 2434.843 0 5.308039 24.50088 0.415745 0.025509 0.027927 0 0.003 0.015721 0.026662 0.02919 0 0.012 0.044917 1155.182 2256.975 0 0.003351 0.008427 0 0.181999 0.355587 0 0.072141 0.18143 0000 0.082127 0.206545 0000 0.128799 0.214547 4.164591 0 0.010939 0.021372 0San Mateo 2022 SBUS Aggregate Aggregate Natural Ga 5.747464 147.755 147.755 0 83.22328 0 0.580038 5.278861 0 0.003378 0.011167 0 0.003 0.015721 0.003674 0.012145 0 0.012 0.044917 1270.028 4071.06 0 3.473989 15.35501 0 0.258904 0.829912 0 0.049636 0.219393 0000 3.545461 15.67091 0000 1.06 11.82462 20.31851 0000 San Mateo 2022 UBUS Aggregate Aggregate Gasoline 61.08139 4153.342 4153.342 0 244.3256 0 0.052732 0 0.593554 0.000924 0 0.000101 0.002073 0.032333 0.001005 0 0.00011 0.00829 0.092379 1026.004 0 41.36564 0.002283 0 0.05585 0.006009 0 0.07764 0.006738 0 0.216361 0.059157 0.09606 0.592841 0.009832 0 0.236888 0.059157 0.09606 0.592841 0.045 0.562776 0 5.939286 0.010143 0 0.000409San Mateo 2022 UBUS Aggregate Aggregate Diesel 341.0475 28477.87 28477.87 0 1364.19 0 2.903167 0 0 0.007622 0 0 0.007913 0.0385 0.007966 0 0 0.031652 0.11 1452.079 0 0 0.00732 0 0 0.228776 0 0 0.157595 00000 0.179409 00000 0.12243 0.193248 0 0 0.013759 0 0 San Mateo 2022 UBUS Aggregate Aggregate Electricity 2.018703 15.3193 0 15.3193 8.074811 26.70528 000000 0.009 0.01925 0 0 0 0.036 0.055 0000000000000000000000000000 San Mateo 2022 UBUS Aggregate Aggregate Natural Ga 34.62042 1174.257 1174.257 0 138.4817 0 0.063543 0 0 0.000296 0 0 0.008807 0.0385 0.00031 0 0 0.035229 0.11 1350.881 0 0 4.451808 0 0 0.275386 0 0 0.063608 00000 4.543397 00000 0.97 52.64109 00000 Source: EMFAC2021 (v1.0.1) Emission Rates
Region Type: CountyRegion: San MateoCalendar Year: 2023Season: AnnualVehicle Classification: EMFAC2007 CategoriesUnits:  miles/day for CVMT and EVMT, trips/day for Trips, kWh/day for Energy Consumption, g/mile for RUNEX, PMBW and PMTW, g/trip for STREX, HOTSOAK and RUNLOSS, g/vehicle/day for IDLEX and DIURNRegion Calendar Y Vehicle CatModel Yea Speed Fuel Population Total VMT CVMT EVMT Trips Energy ConNOx_RUNENOx_IDLEXNOx_STREXPM2.5_RU PM2.5_IDL PM2.5_STRPM2.5_PMPM2.5_PMPM10_RUNPM10_IDLEPM10_STR PM10_PMTPM10_PMBCO2_RUNECO2_IDLEXCO2_STREXCH4_RUNECH4_IDLEXCH4_STREXN2O_RUNEN2O_IDLEXN2O_STREXROG_RUNEROG_IDLEXROG_STREXROG_HOTSROG_RUNLROG_DIUR TOG_RUNETOG_IDLEXTOG_STREXTOG_HOTSTOG_RUNLTOG_DIUR NH3_RUNECO_RUNEXCO_IDLEX CO_STREX SOx_RUNE SOx_IDLEX SOx_STREX San Mateo 2023 HHDT Aggregate Aggregate Gasoline 4.303891 593.3265 593.3265 0 86.11225 0 4.056089 0 0.0028 0.00142 0 0.000834 0.005 0.031149 0.001544 0 0.000907 0.02 0.088996 2258.184 0 54.48492 0.114491 0 0.000118 0.150249 0 0.000135 0.581376 0 0.000638 0.041838 0.335524 2.939257 0.848342 0 0.000699 0.041838 0.335524 2.939257 0.045 33.28789 0 6.069294 0.022324 0 0.000539 San Mateo 2023 HHDT Aggregate Aggregate Diesel 1295.72 119079.6 119079.6 0 14027.66 0 2.889862 47.02809 2.876808 0.025432 0.037858 0 0.008609 0.030943 0.026582 0.03957 0 0.034434 0.08841 1843.774 8291.615 0 0.001322 0.156217 0 0.290487 1.306347 0 0.028463 3.363316 0000 0.032403 3.828879 0000 0.197741 0.123869 46.58006 0 0.017459 0.078517 0 San Mateo 2023 HHDT Aggregate Aggregate Electricity 0.738781 40.81187 0 40.81187 9.636589 75.42902 000000 0.008666 0.01378 0 0 0 0.034663 0.039372 0000000000000000000000000000San Mateo 2023 HHDT Aggregate Aggregate Natural Ga 157.5655 10602.72 10602.72 0 1067.368 0 1.650268 10.1232 0 0.001897 0.012167 0 0.009 0.058575 0.002063 0.013232 0 0.036 0.167357 1522.593 8490.533 0 3.343054 25.56751 0 0.310391 1.730851 0 0.076973 0.418135 0000 3.445109 26.1537 0000 0.73711 17.41229 66.41256 0000San Mateo 2023 LDA Aggregate Aggregate Gasoline 240378.8 7727537 7727537 0 1129355 0 0.042338 0 0.260506 0.001198 0 0.002031 0.002 0.002348 0.001303 0 0.002208 0.008 0.006708 278.3785 0 70.81713 0.002267 0 0.072534 0.004517 0 0.032351 0.008874 0 0.341649 0.087062 0.222247 1.324707 0.012948 0 0.374061 0.087062 0.222247 1.324707 0.035408 0.677749 0 3.395649 0.002752 0 0.0007San Mateo 2023 LDA Aggregate Aggregate Diesel 833.7612 19906.52 19906.52 0 3528.191 0 0.213764 0 0 0.014362 0 0 0.002 0.002398 0.015012 0 0 0.008 0.006851 234.8149 0 0 0.001164 0 0 0.036995 0 0 0.02507 00000 0.02854 00000 0.0031 0.317118 0 0 0.002225 0 0San Mateo 2023 LDA Aggregate Aggregate Electricity 16299 630419.6 0 630419.6 81240.99 243394 000000 0.002 0.001529 0 0 0 0.008 0.00437 0000000000000000000000000000San Mateo 2023 LDA Aggregate Aggregate Plug‐in Hyb 6930.414 264587.6 131767.9 132819.8 28657.26 40115.53 0.003199 0 0.117199 0.000615 0 0.002065 0.002 0.001318 0.000669 0 0.002246 0.008 0.003766 134.3501 0 65.86248 0.000415 0 0.042451 0.000556 0 0.02034 0.001345 0 0.176635 0.03705 0.032896 0.392427 0.001962 0 0.193393 0.03705 0.032896 0.392427 0.019696 0.200492 0 1.37819 0.001328 0 0.000651 San Mateo 2023 LDT1 Aggregate Aggregate Gasoline 24557.61 732297.8 732297.8 0 111855.3 0 0.11638 0 0.364578 0.001649 0 0.002601 0.002 0.002829 0.001794 0 0.002828 0.008 0.008082 326.1114 0 85.73673 0.005448 0 0.099842 0.008499 0 0.037022 0.024289 0 0.513929 0.14557 0.416379 2.294434 0.035435 0 0.562687 0.14557 0.416379 2.294434 0.037022 1.217988 0 5.093009 0.003224 0 0.000848 San Mateo 2023 LDT1 Aggregate Aggregate Diesel 7.655601 101.9185 101.9185 0 22.20173 0 1.676086 0 0 0.239368 0 0 0.002 0.003332 0.250191 0 0 0.008 0.00952 418.3389 0 0 0.014739 0 0 0.065909 0 0 0.317327 00000 0.361255 00000 0.0031 1.688168 0 0 0.003964 0 0 San Mateo 2023 LDT1 Aggregate Aggregate Electricity 74.62311 2574.77 0 2574.77 357.9526 994.0736 000000 0.002 0.001535 0 0 0 0.008 0.004386 0000000000000000000000000000San Mateo 2023 LDT1 Aggregate Aggregate Plug‐in Hyb 34.67073 1451.31 668.3078 783.0024 143.3635 236.4901 0.002958 0 0.117199 0.000383 0 0.001401 0.002 0.001331 0.000416 0 0.001524 0.008 0.003802 124.2265 0 72.42832 0.000385 0 0.042531 0.000515 0 0.020414 0.001243 0 0.176635 0.024383 0.02158 0.274849 0.001814 0 0.193393 0.024383 0.02158 0.274849 0.01934 0.185385 0 1.37819 0.001228 0 0.000716 San Mateo 2023 LDT2 Aggregate Aggregate Gasoline 139222.3 4716888 4716888 0 668266.1 0 0.05408 0 0.29713 0.001207 0 0.001949 0.002 0.002716 0.001313 0 0.002119 0.008 0.007759 339.1094 0 86.14007 0.00237 0 0.075845 0.004959 0 0.034716 0.009113 0 0.347984 0.063629 0.160781 1.007437 0.013297 0 0.380999 0.063629 0.160781 1.007437 0.037748 0.693563 0 3.480515 0.003352 0 0.000852 San Mateo 2023 LDT2 Aggregate Aggregate Diesel 541.6894 18280.98 18280.98 0 2609.031 0 0.042759 0 0 0.004694 0 0 0.002 0.002739 0.004906 0 0 0.008 0.007825 314.2391 0 0 0.000594 0 0 0.049508 0 0 0.012791 00000 0.014562 00000 0.0031 0.121058 0 0 0.002978 0 0 San Mateo 2023 LDT2 Aggregate Aggregate Electricity 855.0521 26877.43 0 26877.43 4389.934 10376.91 000000 0.002 0.001524 0 0 0 0.008 0.004355 0000000000000000000000000000San Mateo 2023 LDT2 Aggregate Aggregate Plug‐in Hyb 1293.229 52235.96 24959.1 27276.86 5347.502 8238.424 0.00307 0 0.117199 0.000478 0 0.001688 0.002 0.001325 0.00052 0 0.001836 0.008 0.003785 128.9014 0 78.74622 0.000399 0 0.042537 0.000535 0 0.02042 0.00129 0 0.176635 0.025663 0.02377 0.299211 0.001883 0 0.193393 0.025663 0.02377 0.299211 0.020047 0.192361 0 1.37819 0.001274 0 0.000778 San Mateo 2023 LHDT1 Aggregate Aggregate Gasoline 10572.08 392533.1 392533.1 0 157508.2 0 0.12528 0.035112 0.59784 0.00142 0 0.000253 0.002 0.0273 0.001545 0 0.000275 0.008 0.078 853.4932 117.883 26.97693 0.006321 0.111177 0.030421 0.00715 0.002997 0.050012 0.03091 0.4025 0.148384 0.036924 0.198922 2.014404 0.045104 0.587327 0.162462 0.036924 0.198922 2.014404 0.044937 0.986439 3.761565 3.318076 0.008438 0.001165 0.000267 San Mateo 2023 LHDT1 Aggregate Aggregate Diesel 4577.109 179686.5 179686.5 0 57574.27 0 1.224717 1.76206 0 0.0273 0.026942 0 0.003 0.0273 0.028534 0.02816 0 0.012 0.078 630.6192 129.0392 0 0.006697 0.005098 0 0.099354 0.02033 0 0.144187 0.10976 0000 0.164147 0.124954 0000 0.184546 0.371953 0.909745 0 0.005975 0.001223 0San Mateo 2023 LHDT2 Aggregate Aggregate Gasoline 1231.236 43549.94 43549.94 0 18343.59 0 0.144 0.03443 0.605262 0.001368 0 0.000226 0.002 0.03185 0.001487 0 0.000246 0.008 0.091 963.6905 136.6851 25.60031 0.005686 0.108022 0.030291 0.008533 0.002829 0.048554 0.026382 0.394722 0.148891 0.038757 0.204501 2.085419 0.038496 0.575977 0.163017 0.038757 0.204501 2.085419 0.044989 0.878989 3.762499 3.300689 0.009527 0.001351 0.000253San Mateo 2023 LHDT2 Aggregate Aggregate Diesel 1952.709 77798.97 77798.97 0 24562.62 0 0.883685 1.679482 0 0.023677 0.026872 0 0.003 0.03185 0.024747 0.028087 0 0.012 0.091 747.9998 204.9987 0 0.006098 0.005098 0 0.117848 0.032298 0 0.131288 0.10976 0000 0.149463 0.124954 0000 0.196309 0.303972 0.909745 0 0.007088 0.001942 0 San Mateo 2023 MCY Aggregate Aggregate Gasoline 12536.77 73820.04 73820.04 0 25073.54 0 0.537143 0 0.136291 0.001883 0 0.003663 0.001 0.0042 0.002012 0 0.003894 0.004 0.012 187.6396 0 47.90752 0.151085 0 0.181429 0.037735 0 0.008068 0.98245 0 1.347169 3.555217 3.717102 3.435381 1.181139 0 1.464498 3.555217 3.717102 3.435381 0.008844 11.57445 0 7.838613 0.001855 0 0.000474 San Mateo 2023 MDV Aggregate Aggregate Gasoline 78398.02 2704273 2704273 0 374408 0 0.068743 0 0.362909 0.001222 0 0.002069 0.002 0.002734 0.001329 0 0.002251 0.008 0.00781 408.872 0 104.3819 0.002844 0 0.089064 0.005703 0 0.037349 0.01161 0 0.437746 0.072395 0.194625 1.190411 0.016926 0 0.479274 0.072395 0.194625 1.190411 0.038092 0.747341 0 3.739188 0.004042 0 0.001032 San Mateo 2023 MDV Aggregate Aggregate Diesel 1107.903 37908.13 37908.13 0 5305.818 0 0.04176 0 0 0.004328 0 0 0.002 0.002788 0.004524 0 0 0.008 0.007965 410.1053 0 0 0.000449 0 0 0.064612 0 0 0.009665 00000 0.011002 00000 0.0031 0.175602 0 0 0.003886 0 0 San Mateo 2023 MDV Aggregate Aggregate Electricity 906.5115 28548.82 0 28548.82 4657.021 11022.2 000000 0.002 0.001524 0 0 0 0.008 0.004354 0000000000000000000000000000San Mateo 2023 MDV Aggregate Aggregate Plug‐in Hyb 678.1174 27547.88 13448.47 14099.41 2804.015 4258.442 0.003136 0 0.117199 0.000578 0 0.002002 0.002 0.001322 0.000628 0 0.002177 0.008 0.003776 131.6991 0 97.50736 0.000409 0 0.04268 0.00055 0 0.020553 0.001318 0 0.176635 0.027976 0.026258 0.325091 0.001923 0 0.193393 0.027976 0.026258 0.325091 0.020504 0.196536 0 1.37819 0.001302 0 0.000964 San Mateo 2023 MH Aggregate Aggregate Gasoline 774.8115 7442.976 7442.976 0 77.51215 0 0.375927 0 0.404893 0.001719 0 0.000436 0.003 0.015756 0.001869 0 0.000474 0.012 0.045017 1947.17 0 31.89355 0.01417 0 0.038105 0.023764 0 0.042528 0.061382 0 0.16244 11.11371 0.261936 3.902966 0.089569 0 0.177852 11.11371 0.261936 3.902966 0.044861 1.492455 0 3.64337 0.01925 0 0.000315 San Mateo 2023 MH Aggregate Aggregate Diesel 328.5822 3487.262 3487.262 0 32.85822 0 3.229197 0 0 0.055455 0 0 0.004 0.015675 0.057962 0 0 0.016 0.044785 1085.349 0 0 0.004377 0 0 0.170997 0 0 0.094242 00000 0.107288 00000 0.185977 0.297993 0 0 0.010284 0 0 San Mateo 2023 MHDT Aggregate Aggregate Gasoline 780.1924 45998.29 45998.29 0 15610.09 0 0.48063 0.088485 0.45368 0.001377 0 0.000542 0.003 0.015756 0.001498 0 0.00059 0.012 0.045017 1763.945 530.3326 46.39494 0.015519 0.261469 0.049092 0.023565 0.00737 0.034436 0.076573 1.012695 0.270574 0.033571 0.274671 2.598982 0.111736 1.477722 0.296245 0.033571 0.274671 2.598982 0.044979 1.599932 15.11623 5.97113 0.017438 0.005243 0.000459 San Mateo 2023 MHDT Aggregate Aggregate Diesel 4189.443 175901.2 175901.2 0 50462.49 0 1.42648 14.09475 1.586053 0.018782 0.040011 0 0.003 0.015983 0.019631 0.041821 0 0.012 0.045665 1155.919 2264.351 0 0.002009 0.012779 0 0.182115 0.356749 0 0.043248 0.275121 0000 0.049234 0.313205 0000 0.206918 0.148734 7.579195 0 0.010946 0.021442 0San Mateo 2023 MHDT Aggregate Aggregate Electricity 2.059294 44.11104 0 44.11104 25.56596 47.28311 000000 0.003 0.007991 0 0 0 0.012 0.022833 0000000000000000000000000000San Mateo 2023 MHDT Aggregate Aggregate Natural Ga 38.13508 1832.77 1832.77 0 342.2075 0 0.132951 6.609544 0 0.001228 0.018659 0 0.003 0.016094 0.001336 0.020293 0 0.012 0.045982 1008.408 5458.884 0 0.769477 17.52611 0 0.20557 1.112829 0 0.010994 0.250414 0000 0.785307 17.88668 0000 1.06 3.064735 35.81803 0000San Mateo 2023 OBUS Aggregate Aggregate Gasoline 256.5607 15177.04 15177.04 0 5133.267 0 0.308106 0.065063 0.369453 0.001 0 0.000287 0.003 0.01568 0.001088 0 0.000312 0.012 0.044799 1742.276 373.6354 30.27704 0.009595 0.205564 0.033157 0.017281 0.005903 0.031894 0.045405 0.746279 0.163878 0.026481 0.113352 1.902307 0.066255 1.088969 0.179425 0.026481 0.113352 1.902307 0.044919 0.985887 5.774707 3.460301 0.017224 0.003694 0.000299San Mateo 2023 OBUS Aggregate Aggregate Diesel 1051.799 74746.95 74746.95 0 10288.18 0 0.843686 5.779548 1.508936 0.009565 0.003378 0 0.003 0.017376 0.009998 0.003531 0 0.012 0.049647 1250.895 1225.784 0 0.000947 0.013995 0 0.197079 0.193123 0 0.020398 0.301313 0000 0.023222 0.343022 0000 0.217631 0.094166 5.629794 0 0.011845 0.011607 0San Mateo 2023 OBUS Aggregate Aggregate Natural Ga 6.660994 415.1452 415.1452 0 59.28285 0 0.232948 1.556882 0 0.000856 0.003435 0 0.003 0.016148 0.000931 0.003736 0 0.012 0.046137 1029.36 1194.248 0 0.766347 4.477255 0 0.209842 0.243455 0 0.01095 0.063971 0000 0.782113 4.569367 0000 1.06 3.19115 6.306096 0000San Mateo 2023 SBUS Aggregate Aggregate Gasoline 62.11288 3411.923 3411.923 0 248.4515 0 0.897656 0.923288 0.643317 0.001164 0 0.000721 0.002 0.015721 0.001266 0 0.000784 0.008 0.044917 797.3184 2541.99 62.30631 0.021738 2.445799 0.089765 0.041731 0.084017 0.05658 0.106456 10.59413 0.521132 0.139121 0.406864 2.094566 0.15534 15.45893 0.570574 0.139121 0.406864 2.094566 0.045 2.707181 81.95312 13.2835 0.007882 0.02513 0.000616 San Mateo 2023 SBUS Aggregate Aggregate Diesel 168.8118 3793.041 3793.041 0 2444.395 0 5.00314 23.87172 0.437587 0.023953 0.025817 0 0.003 0.015721 0.025036 0.026985 0 0.012 0.044917 1149.738 2246.853 0 0.003233 0.008312 0 0.181142 0.353993 0 0.069615 0.178964 0000 0.079252 0.203737 0000 0.134019 0.208594 4.289616 0 0.010887 0.021276 0San Mateo 2023 SBUS Aggregate Aggregate Electricity 0.041475 0.481131 0 0.481131 0.600564 0.50685 000000 0.003 0.00786 0 0 0 0.012 0.022459 0000000000000000000000000000San Mateo 2023 SBUS Aggregate Aggregate Natural Ga 6.023036 153.4041 153.4041 0 87.21356 0 0.556332 5.264261 0 0.003378 0.011516 0 0.003 0.015721 0.003674 0.012524 0 0.012 0.044917 1258.036 4080.42 0 3.408583 15.17474 0 0.256459 0.83182 0 0.048702 0.216817 0000 3.478709 15.48694 0000 1.06 11.51682 21.10371 0000San Mateo 2023 UBUS Aggregate Aggregate Gasoline 61.26278 4165.676 4165.676 0 245.0511 0 0.037017 0 0.578233 0.000989 0 0.000127 0.002073 0.032333 0.001076 0 0.000139 0.00829 0.092379 1025.682 0 41.23868 0.002259 0 0.053565 0.004956 0 0.077039 0.006631 0 0.206281 0.070589 0.114555 0.693653 0.009677 0 0.225852 0.070589 0.114555 0.693653 0.045 0.556154 0 5.887541 0.01014 0 0.000408 San Mateo 2023 UBUS Aggregate Aggregate Diesel 341.8463 28540.62 28540.62 0 1367.385 0 2.897593 0 0 0.007619 0 0 0.007913 0.0385 0.007964 0 0 0.031652 0.11 1451.453 0 0 0.007311 0 0 0.228677 0 0 0.157395 00000 0.179182 00000 0.122644 0.192989 0 0 0.013753 0 0San Mateo 2023 UBUS Aggregate Aggregate Electricity 2.018703 15.3193 0 15.3193 8.074811 26.70528 000000 0.009 0.01925 0 0 0 0.036 0.055 0000000000000000000000000000San Mateo 2023 UBUS Aggregate Aggregate Natural Ga 34.94319 1199.611 1199.611 0 139.7728 0 0.063405 0 0 0.000296 0 0 0.008789 0.0385 0.000309 0 0 0.035157 0.11 1349.38 0 0 4.445831 0 0 0.27508 0 0 0.063522 00000 4.537297 00000 0.97 52.53671 00000 Source: EMFAC2021 (v1.0.1) Emission Rates
Region Type: CountyRegion: San MateoCalendar Year: 2024Season: AnnualVehicle Classification: EMFAC2007 CategoriesUnits:  miles/day for CVMT and EVMT, trips/day for Trips, kWh/day for Energy Consumption, g/mile for RUNEX, PMBW and PMTW, g/trip for STREX, HOTSOAK and RUNLOSS, g/vehicle/day for IDLEX and DIURNRegion Calendar Y Vehicle CatModel Yea Speed Fuel Population Total VMT CVMT EVMT Trips Energy ConNOx_RUNENOx_IDLEXNOx_STREXPM2.5_RU PM2.5_IDL PM2.5_STRPM2.5_PMPM2.5_PMPM10_RUNPM10_IDLEPM10_STR PM10_PMTPM10_PMBCO2_RUNECO2_IDLEXCO2_STREXCH4_RUNECH4_IDLEXCH4_STREXN2O_RUNEN2O_IDLEXN2O_STREXROG_RUNEROG_IDLEXROG_STREXROG_HOTSROG_RUNLROG_DIUR TOG_RUNETOG_IDLEXTOG_STREXTOG_HOTSTOG_RUNLTOG_DIUR NH3_RUNECO_RUNEXCO_IDLEX CO_STREX SOx_RUNE SOx_IDLEX SOx_STREX San Mateo 2024 HHDT Aggregate Aggregate Gasoline 4.38411 570.1519 570.1519 0 87.71727 0 4.048188 0 0.002195 0.001412 0 0.000781 0.005 0.031087 0.001536 0 0.000849 0.02 0.08882 2242.616 0 52.51813 0.114927 0 9.83E‐05 0.151409 0 0.000106 0.580011 0 0.000534 0.038164 0.298441 2.621146 0.84635 0 0.000584 0.038164 0.298441 2.621146 0.045 33.76595 0 5.064106 0.022171 0 0.000519 San Mateo 2024 HHDT Aggregate Aggregate Diesel 1314.625 119489.1 119489.1 0 14359.46 0 2.758523 46.67792 2.948259 0.025016 0.035273 0 0.008607 0.030666 0.026147 0.036868 0 0.034429 0.087616 1815.874 8218.84 0 0.001264 0.157243 0 0.286092 1.294882 0 0.027205 3.385404 0000 0.030971 3.854024 0000 0.19939 0.118425 47.19978 0 0.017195 0.077828 0San Mateo 2024 HHDT Aggregate Aggregate Electricity 4.22305 364.2879 0 364.2879 41.8342 680.3172 000000 0.008582 0.016829 0 0 0 0.034329 0.048082 0000000000000000000000000000San Mateo 2024 HHDT Aggregate Aggregate Natural Ga 168.5495 11187.83 11187.83 0 1132.175 0 1.492552 9.520927 0 0.001788 0.012243 0 0.009 0.059336 0.001944 0.013315 0 0.036 0.169533 1498.953 8407.645 0 3.081874 24.13874 0 0.305571 1.713953 0 0.069062 0.389544 0000 3.173794 24.68622 0000 0.729125 16.65962 64.84398 0000 San Mateo 2024 LDA Aggregate Aggregate Gasoline 239419.7 7454000 7454000 0 1124271 0 0.038087 0 0.247841 0.001162 0 0.001964 0.002 0.002348 0.001263 0 0.002136 0.008 0.006709 273.8201 0 69.41898 0.002038 0 0.068169 0.004236 0 0.031309 0.007847 0 0.318313 0.083377 0.213338 1.277502 0.01145 0 0.348512 0.083377 0.213338 1.277502 0.036176 0.637775 0 3.199778 0.002707 0 0.000686 San Mateo 2024 LDA Aggregate Aggregate Diesel 770.443 17557.03 17557.03 0 3247.138 0 0.188593 0 0 0.01271 0 0 0.002 0.002404 0.013285 0 0 0.008 0.006869 232.7779 0 0 0.001054 0 0 0.036674 0 0 0.022696 00000 0.025838 00000 0.0031 0.304144 0 0 0.002206 0 0San Mateo 2024 LDA Aggregate Aggregate Electricity 17934.86 689392.1 0 689392.1 89072.05 266162.3 000000 0.002 0.00153 0 0 0 0.008 0.004371 0000000000000000000000000000San Mateo 2024 LDA Aggregate Aggregate Plug‐in Hyb 7500.936 275231.1 133857.4 141373.7 31016.37 42699.07 0.003125 0 0.117199 0.000577 0 0.001988 0.002 0.001324 0.000628 0 0.002162 0.008 0.003783 131.2036 0 65.11921 0.000402 0 0.042117 0.000534 0 0.020029 0.001313 0 0.176635 0.037635 0.03379 0.393665 0.001916 0 0.193393 0.037635 0.03379 0.393665 0.0194 0.1958 0 1.37819 0.001297 0 0.000644 San Mateo 2024 LDT1 Aggregate Aggregate Gasoline 25010.05 728708.6 728708.6 0 114230.1 0 0.101175 0 0.337766 0.001531 0 0.002433 0.002 0.002823 0.001665 0 0.002647 0.008 0.008066 320.3175 0 83.57506 0.004741 0 0.091509 0.007635 0 0.035447 0.020943 0 0.464929 0.13393 0.378571 2.119435 0.030557 0 0.509038 0.13393 0.378571 2.119435 0.03751 1.098083 0 4.642443 0.003167 0 0.000826 San Mateo 2024 LDT1 Aggregate Aggregate Diesel 6.907674 87.50597 87.50597 0 19.69868 0 1.656035 0 0 0.236493 0 0 0.002 0.003323 0.247186 0 0 0.008 0.009495 417.763 0 0 0.014564 0 0 0.065819 0 0 0.313559 00000 0.356966 00000 0.0031 1.668132 0 0 0.003959 0 0 San Mateo 2024 LDT1 Aggregate Aggregate Electricity 91.59654 3278.131 0 3278.131 443.5442 1265.629 000000 0.002 0.001533 0 0 0 0.008 0.004381 0000000000000000000000000000San Mateo 2024 LDT1 Aggregate Aggregate Plug‐in Hyb 54.25069 2174.893 971.2907 1203.602 224.3266 363.5237 0.002869 0 0.117199 0.000364 0 0.001376 0.002 0.001338 0.000396 0 0.001496 0.008 0.003823 120.4792 0 71.41059 0.00037 0 0.042142 0.000491 0 0.020052 0.001206 0 0.176635 0.024003 0.020809 0.269408 0.00176 0 0.193393 0.024003 0.020809 0.269408 0.018757 0.179795 0 1.37819 0.001191 0 0.000706 San Mateo 2024 LDT2 Aggregate Aggregate Gasoline 149536 4914901 4914901 0 718035.6 0 0.047837 0 0.275637 0.001155 0 0.001881 0.002 0.002719 0.001256 0 0.002046 0.008 0.007768 332.6183 0 84.15109 0.002154 0 0.070859 0.004613 0 0.03323 0.008159 0 0.321903 0.059457 0.151098 0.950815 0.011906 0 0.352443 0.059457 0.151098 0.950815 0.038479 0.65082 0 3.265171 0.003288 0 0.000832San Mateo 2024 LDT2 Aggregate Aggregate Diesel 582.1748 18954.02 18954.02 0 2798.233 0 0.039602 0 0 0.004525 0 0 0.002 0.002742 0.00473 0 0 0.008 0.007835 308.9591 0 0 0.000583 0 0 0.048677 0 0 0.012549 00000 0.014287 00000 0.0031 0.119356 0 0 0.002928 0 0 San Mateo 2024 LDT2 Aggregate Aggregate Electricity 1250.957 37598.89 0 37598.89 6394.245 14516.27 000000 0.002 0.001525 0 0 0 0.008 0.004358 0000000000000000000000000000San Mateo 2024 LDT2 Aggregate Aggregate Plug‐in Hyb 1631.391 62724.85 29203.5 33521.35 6745.803 10124.45 0.002991 0 0.117199 0.000445 0 0.001613 0.002 0.001331 0.000484 0 0.001754 0.008 0.003803 125.6019 0 77.89253 0.000385 0 0.042141 0.000512 0 0.020051 0.001257 0 0.176635 0.025289 0.023061 0.291714 0.001834 0 0.193393 0.025289 0.023061 0.291714 0.019538 0.18744 0 1.37819 0.001242 0 0.00077 San Mateo 2024 LHDT1 Aggregate Aggregate Gasoline 11110.29 401258.4 401258.4 0 165526.8 0 0.108054 0.033789 0.571117 0.001381 0 0.000231 0.002 0.0273 0.001502 0 0.000252 0.008 0.078 836.8766 116.5649 26.73629 0.005557 0.107506 0.028745 0.006197 0.00292 0.048292 0.02703 0.387394 0.139437 0.033968 0.18488 1.873078 0.039443 0.565284 0.152666 0.033968 0.18488 1.873078 0.044949 0.932434 3.763967 3.345475 0.008273 0.001152 0.000264 San Mateo 2024 LHDT1 Aggregate Aggregate Diesel 4996.692 191551.4 191551.4 0 62852.09 0 1.027551 1.628055 0 0.024469 0.026784 0 0.003 0.0273 0.025575 0.027995 0 0.012 0.078 625.1858 126.8159 0 0.006142 0.005098 0 0.098498 0.01998 0 0.132227 0.10976 0000 0.150532 0.124954 0000 0.191039 0.331515 0.909745 0 0.005924 0.001202 0 San Mateo 2024 LHDT1 Aggregate Aggregate Electricity 56.88552 3530.642 0 3530.642 794.6546 2311.167 000000 0.002 0.01365 0 0 0 0.008 0.039 0000000000000000000000000000San Mateo 2024 LHDT2 Aggregate Aggregate Gasoline 1289.385 44551.76 44551.76 0 19209.92 0 0.122228 0.032802 0.574333 0.001317 0 0.000203 0.002 0.03185 0.001432 0 0.00022 0.008 0.091 944.5417 135.0667 25.31696 0.004775 0.10351 0.028373 0.007371 0.002735 0.046606 0.02185 0.376166 0.138457 0.035403 0.189345 1.948594 0.031883 0.5489 0.151593 0.035403 0.189345 1.948594 0.04499 0.81417 3.766002 3.313222 0.009338 0.001335 0.00025San Mateo 2024 LHDT2 Aggregate Aggregate Diesel 2173.662 83732.44 83732.44 0 27341.93 0 0.758817 1.552593 0 0.021905 0.026813 0 0.003 0.03185 0.022896 0.028026 0 0.012 0.091 738.893 201.7788 0 0.00575 0.005098 0 0.116413 0.03179 0 0.123794 0.10976 0000 0.140931 0.124954 0000 0.200587 0.280863 0.909745 0 0.007001 0.001912 0San Mateo 2024 LHDT2 Aggregate Aggregate Electricity 14.72375 865.8383 0 865.8383 194.8979 558.2118 000000 0.002 0.015925 0 0 0 0.008 0.0455 0000000000000000000000000000San Mateo 2024 MCY Aggregate Aggregate Gasoline 13263.89 76675.37 76675.37 0 26527.78 0 0.518793 0 0.126152 0.001881 0 0.003482 0.001 0.0042 0.002012 0 0.003708 0.004 0.012 186.9256 0 46.09461 0.145168 0 0.173078 0.036969 0 0.007549 0.930365 0 1.275208 3.551353 3.70872 3.28364 1.125127 0 1.386524 3.551353 3.70872 3.28364 0.008901 11.0461 0 7.750076 0.001848 0 0.000456 San Mateo 2024 MDV Aggregate Aggregate Gasoline 84173.19 2823183 2823183 0 402441.6 0 0.058434 0 0.328591 0.001156 0 0.001958 0.002 0.002737 0.001258 0 0.002129 0.008 0.007819 401.2877 0 101.9843 0.002492 0 0.08141 0.005161 0 0.035386 0.009941 0 0.393656 0.066904 0.180975 1.115277 0.014501 0 0.431003 0.066904 0.180975 1.115277 0.038746 0.686178 0 3.45873 0.003967 0 0.001008 San Mateo 2024 MDV Aggregate Aggregate Diesel 1163.667 38157.5 38157.5 0 5552.1 0 0.037261 0 0 0.004001 0 0 0.002 0.002798 0.004182 0 0 0.008 0.007995 404.1827 0 0 0.000421 0 0 0.063679 0 0 0.009074 00000 0.01033 00000 0.0031 0.171126 0 0 0.00383 0 0San Mateo 2024 MDV Aggregate Aggregate Electricity 1347.217 40547.66 0 40547.66 6889.415 15654.74 000000 0.002 0.001525 0 0 0 0.008 0.004357 0000000000000000000000000000San Mateo 2024 MDV Aggregate Aggregate Plug‐in Hyb 894.3672 35015.17 16467.11 18548.06 3698.208 5602.067 0.003021 0 0.117199 0.000509 0 0.001829 0.002 0.00133 0.000553 0 0.001989 0.008 0.0038 126.8709 0 95.82464 0.000391 0 0.042289 0.000521 0 0.020188 0.00127 0 0.176635 0.028115 0.024943 0.310017 0.001853 0 0.193393 0.028115 0.024943 0.310017 0.019752 0.189334 0 1.37819 0.001254 0 0.000947 San Mateo 2024 MH Aggregate Aggregate Gasoline 801.8479 7786.339 7786.339 0 80.21686 0 0.31412 0 0.403344 0.001626 0 0.000414 0.003 0.015756 0.001768 0 0.00045 0.012 0.045017 1946.554 0 31.59379 0.011734 0 0.037106 0.021154 0 0.043344 0.049091 0 0.154768 9.691274 0.229932 3.473479 0.071633 0 0.169451 9.691274 0.229932 3.473479 0.044918 1.137792 0 3.470688 0.019244 0 0.000312 San Mateo 2024 MH Aggregate Aggregate Diesel 356.6509 3693.518 3693.518 0 35.66509 0 3.096233 0 0 0.049578 0 0 0.004 0.015675 0.05182 0 0 0.016 0.044785 1085.795 0 0 0.004225 0 0 0.171067 0 0 0.090961 00000 0.103553 00000 0.190835 0.284597 0 0 0.010288 0 0San Mateo 2024 MHDT Aggregate Aggregate Gasoline 803.5707 46997.14 46997.14 0 16077.84 0 0.392706 0.088662 0.440106 0.001362 0 0.000524 0.003 0.015756 0.001481 0 0.00057 0.012 0.045017 1738.217 524.0271 45.30167 0.012668 0.264735 0.046933 0.020191 0.007577 0.034475 0.061766 1.015329 0.254725 0.030087 0.246862 2.353612 0.090129 1.481566 0.278892 0.030087 0.246862 2.353612 0.044986 1.274083 15.14683 5.603458 0.017184 0.005181 0.000448 San Mateo 2024 MHDT Aggregate Aggregate Diesel 4233.233 177028 177028 0 51051.04 0 1.307284 13.59602 1.607655 0.016259 0.033511 0 0.003 0.015983 0.016994 0.035026 0 0.012 0.045664 1151.344 2248.491 0 0.001748 0.011985 0 0.181395 0.354251 0 0.037635 0.258043 0000 0.042845 0.293763 0000 0.208724 0.13444 7.547588 0 0.010903 0.021292 0San Mateo 2024 MHDT Aggregate Aggregate Electricity 14.28233 871.0875 0 871.0875 206.3119 980.3084 000000 0.003 0.007951 0 0 0 0.012 0.022718 0000000000000000000000000000San Mateo 2024 MHDT Aggregate Aggregate Natural Ga 40.94682 1935.863 1935.863 0 369.2827 0 0.126627 6.578363 0 0.00126 0.019031 0 0.003 0.016095 0.001371 0.020698 0 0.012 0.045986 1003.333 5452.112 0 0.773152 17.27614 0 0.204536 1.111449 0 0.011047 0.246842 0000 0.789058 17.63157 0000 1.06 3.066853 36.67055 0000San Mateo 2024 OBUS Aggregate Aggregate Gasoline 254.1967 14438.68 14438.68 0 5085.967 0 0.276687 0.065109 0.370674 0.00102 0 0.000283 0.003 0.01568 0.00111 0 0.000308 0.012 0.044799 1723.101 370.7574 29.97676 0.008478 0.205512 0.032818 0.016007 0.005919 0.031879 0.039535 0.746984 0.162428 0.025788 0.11331 1.92621 0.05769 1.089998 0.177838 0.025788 0.11331 1.92621 0.044947 0.847792 5.778931 3.396221 0.017035 0.003665 0.000296San Mateo 2024 OBUS Aggregate Aggregate Diesel 1077.493 75002.36 75002.36 0 10539.7 0 0.835238 5.759378 1.510482 0.009497 0.003284 0 0.003 0.017376 0.009927 0.003433 0 0.012 0.049647 1241.911 1216.11 0 0.000936 0.013985 0 0.195664 0.191599 0 0.020157 0.301093 0000 0.022947 0.342772 0000 0.217754 0.093918 5.631167 0 0.01176 0.011516 0 San Mateo 2024 OBUS Aggregate Aggregate Electricity 0.873406 79.58076 0 79.58076 17.47512 88.16331 000000 0.003 0.00784 0 0 0 0.012 0.022399 0000000000000000000000000000San Mateo 2024 OBUS Aggregate Aggregate Natural Ga 7.797528 492.5585 492.5585 0 69.398 0 0.196374 1.542446 0 0.001031 0.003779 0 0.003 0.016148 0.001121 0.00411 0 0.012 0.046137 1012.331 1198.177 0 0.786409 4.299019 0 0.20637 0.244256 0 0.011236 0.061424 0000 0.802588 4.387464 0000 1.06 3.2452 7.082462 0000San Mateo 2024 SBUS Aggregate Aggregate Gasoline 66.88141 3561.549 3561.549 0 267.5256 0 0.835223 0.92382 0.639831 0.001152 0 0.000724 0.002 0.015721 0.001252 0 0.000787 0.008 0.044917 789.442 2519.886 61.00487 0.01963 2.446302 0.087874 0.039135 0.085207 0.056875 0.09611 10.60191 0.509805 0.133122 0.399591 2.076885 0.140243 15.47029 0.558173 0.133122 0.399591 2.076885 0.045 2.460202 82.00038 12.72081 0.007804 0.024912 0.000603 San Mateo 2024 SBUS Aggregate Aggregate Diesel 168.96 3777.202 3777.202 0 2446.541 0 4.696712 23.22062 0.459253 0.022409 0.023726 0 0.003 0.015721 0.023422 0.024798 0 0.012 0.044917 1144.311 2236.593 0 0.003112 0.008208 0 0.180287 0.352376 0 0.067 0.176716 0000 0.076275 0.201177 0000 0.139187 0.202372 4.417573 0 0.010836 0.021179 0 San Mateo 2024 SBUS Aggregate Aggregate Electricity 0.90883 36.62057 0 36.62057 8.140217 38.57814 000000 0.002304 0.00786 0 0 0 0.009214 0.022459 0000000000000000000000000000San Mateo 2024 SBUS Aggregate Aggregate Natural Ga 6.288614 158.6097 158.6097 0 91.05913 0 0.535215 5.251389 0 0.003378 0.011823 0 0.003 0.015721 0.003674 0.012858 0 0.012 0.044917 1247.354 4088.672 0 3.35032 15.01581 0 0.254281 0.833502 0 0.047869 0.214546 0000 3.419247 15.32474 0000 1.06 11.24264 21.79598 0000 San Mateo 2024 UBUS Aggregate Aggregate Gasoline 61.44418 4178.01 4178.01 0 245.7767 0 0.036235 0 0.500251 0.001083 0 0.000148 0.002073 0.032333 0.001178 0 0.000161 0.00829 0.092379 1002.317 0 40.2745 0.00211 0 0.046538 0.004853 0 0.069658 0.006117 0 0.175043 0.050072 0.096281 0.505947 0.008925 0 0.19165 0.050072 0.096281 0.505947 0.045 0.556675 0 6.169996 0.009909 0 0.000398San Mateo 2024 UBUS Aggregate Aggregate Diesel 277.5893 21477.78 21477.78 0 1110.357 0 0.375565 0 0 0.006827 0 0 0.008097 0.0385 0.007136 0 0 0.032388 0.11 1223.727 0 0 0.003145 0 0 0.192799 0 0 0.067719 00000 0.077093 00000 0.22 0.077195 0 0 0.011595 0 0 San Mateo 2024 UBUS Aggregate Aggregate Electricity 37.0794 3851.303 0 3851.303 148.3176 6713.762 000000 0.007366 0.01925 0 0 0 0.029466 0.055 0000000000000000000000000000San Mateo 2024 UBUS Aggregate Aggregate Natural Ga 65.26114 4514.573 4514.573 0 261.0446 0 0.055424 0 0 0.000272 0 0 0.007741 0.0385 0.000285 0 0 0.030963 0.11 1262.656 0 0 4.100531 0 0 0.257401 0 0 0.058588 00000 4.184893 00000 0.97 46.50633 00000 Source: EMFAC2021 (v1.0.1) Emission Rates
Region Type: CountyRegion: San MateoCalendar Year: 2025Season: AnnualVehicle Classification: EMFAC2007 CategoriesUnits:  miles/day for CVMT and EVMT, trips/day for Trips, kWh/day for Energy Consumption, g/mile for RUNEX, PMBW and PMTW, g/trip for STREX, HOTSOAK and RUNLOSS, g/vehicle/day for IDLEX and DIURNRegion Calendar Y Vehicle CatModel Yea Speed Fuel Population Total VMT CVMT EVMT Trips Energy ConNOx_RUNENOx_IDLEXNOx_STREXPM2.5_RU PM2.5_IDL PM2.5_STRPM2.5_PMPM2.5_PMPM10_RUNPM10_IDLEPM10_STR PM10_PMTPM10_PMBCO2_RUNECO2_IDLEXCO2_STREXCH4_RUNECH4_IDLEXCH4_STREXN2O_RUNEN2O_IDLEXN2O_STREXROG_RUNEROG_IDLEXROG_STREXROG_HOTSROG_RUNLROG_DIUR TOG_RUNETOG_IDLEXTOG_STREXTOG_HOTSTOG_RUNLTOG_DIUR NH3_RUNECO_RUNEXCO_IDLEX CO_STREX SOx_RUNE SOx_IDLEX SOx_STREX San Mateo 2025 HHDT Aggregate Aggregate Gasoline 4.335984 539.4434 539.4434 0 86.75436 0 3.993891 0 0.002022 0.001378 0 0.00069 0.005 0.031006 0.001498 0 0.000751 0.02 0.088589 2223.743 0 51.99251 0.111171 0 9.85E‐05 0.151221 0 0.000104 0.548787 0 0.000535 0.032327 0.240688 2.160104 0.800789 0 0.000585 0.032327 0.240688 2.160104 0.045 33.0787 0 5.031545 0.021984 0 0.000514 San Mateo 2025 HHDT Aggregate Aggregate Diesel 1328.41 119560.7 119560.7 0 14621.91 0 2.632025 46.34757 3.000431 0.02461 0.033159 0 0.008607 0.030397 0.025723 0.034658 0 0.034427 0.086848 1783.935 8133.144 0 0.001211 0.15815 0 0.28106 1.28138 0 0.02607 3.404928 0000 0.029679 3.876252 0000 0.201044 0.113335 47.75386 0 0.016893 0.077016 0San Mateo 2025 HHDT Aggregate Aggregate Electricity 10.02384 901.0022 0 901.0022 96.27797 1681.601 000000 0.008517 0.017099 0 0 0 0.034067 0.048854 0000000000000000000000000000San Mateo 2025 HHDT Aggregate Aggregate Natural Ga 180.5549 11842.66 11842.66 0 1200.105 0 1.331412 8.859598 0 0.001692 0.012232 0 0.009 0.060148 0.00184 0.013304 0 0.036 0.171851 1473.274 8308.135 0 2.792898 22.57518 0 0.300337 1.693668 0 0.061153 0.360007 0000 2.874566 23.0823 0000 0.720658 15.82056 63.0407 0000San Mateo 2025 LDA Aggregate Aggregate Gasoline 238618 7185689 7185689 0 1119872 0 0.034615 0 0.235851 0.001128 0 0.001911 0.002 0.002349 0.001227 0 0.002078 0.008 0.00671 269.175 0 68.0394 0.001838 0 0.063866 0.004 0 0.030182 0.006975 0 0.296397 0.080623 0.207795 1.246636 0.010177 0 0.324517 0.080623 0.207795 1.246636 0.036919 0.602664 0 3.018989 0.002661 0 0.000673 San Mateo 2025 LDA Aggregate Aggregate Diesel 710.5834 15407.46 15407.46 0 2980.227 0 0.166025 0 0 0.01142 0 0 0.002 0.00241 0.011937 0 0 0.008 0.006884 230.6071 0 0 0.00097 0 0 0.036332 0 0 0.020877 00000 0.023767 00000 0.0031 0.292415 0 0 0.002185 0 0San Mateo 2025 LDA Aggregate Aggregate Electricity 19564.98 745853.8 0 745853.8 96825.51 287961.1 000000 0.002 0.001531 0 0 0 0.008 0.004373 0000000000000000000000000000San Mateo 2025 LDA Aggregate Aggregate Plug‐in Hyb 8044.117 283509.4 134548.1 148961.4 33262.42 44990.77 0.003049 0 0.117199 0.000543 0 0.001919 0.002 0.00133 0.000591 0 0.002087 0.008 0.0038 128.0305 0 64.36156 0.00039 0 0.041777 0.000513 0 0.019713 0.001281 0 0.176635 0.037974 0.033851 0.389847 0.00187 0 0.193393 0.037974 0.033851 0.389847 0.019071 0.191067 0 1.37819 0.001266 0 0.000636 San Mateo 2025 LDT1 Aggregate Aggregate Gasoline 25473.09 722986.2 722986.2 0 116608.1 0 0.088465 0 0.313819 0.001428 0 0.002288 0.002 0.002819 0.001554 0 0.002489 0.008 0.008056 314.602 0 81.51978 0.004138 0 0.083876 0.006908 0 0.033921 0.018105 0 0.421017 0.123314 0.343281 1.948219 0.026418 0 0.460961 0.123314 0.343281 1.948219 0.037997 0.996198 0 4.245316 0.00311 0 0.000806San Mateo 2025 LDT1 Aggregate Aggregate Diesel 6.297196 75.91061 75.91061 0 17.6629 0 1.633241 0 0 0.233227 0 0 0.002 0.003314 0.243773 0 0 0.008 0.009467 417.0098 0 0 0.014366 0 0 0.0657 0 0 0.309282 00000 0.352097 00000 0.0031 1.645498 0 0 0.003951 0 0 San Mateo 2025 LDT1 Aggregate Aggregate Electricity 114.3013 4207.979 0 4207.979 557.9394 1624.627 000000 0.002 0.001532 0 0 0 0.008 0.004376 0000000000000000000000000000San Mateo 2025 LDT1 Aggregate Aggregate Plug‐in Hyb 78.69736 3019.599 1309.635 1709.964 325.4136 516.46 0.002786 0 0.117199 0.00035 0 0.001361 0.002 0.001345 0.000381 0 0.00148 0.008 0.003842 117.005 0 70.40325 0.000356 0 0.041758 0.000468 0 0.019694 0.001171 0 0.176635 0.023751 0.020249 0.266848 0.001709 0 0.193393 0.023751 0.020249 0.266848 0.018216 0.174613 0 1.37819 0.001157 0 0.000696 San Mateo 2025 LDT2 Aggregate Aggregate Gasoline 159673.6 5072144 5072144 0 766397.2 0 0.043155 0 0.259038 0.001111 0 0.001824 0.002 0.002725 0.001208 0 0.001983 0.008 0.007785 326.5862 0 82.3296 0.001976 0 0.066383 0.004349 0 0.031999 0.007386 0 0.299178 0.056614 0.145016 0.911896 0.010777 0 0.327563 0.056614 0.145016 0.911896 0.039093 0.616696 0 3.075211 0.003229 0 0.000814 San Mateo 2025 LDT2 Aggregate Aggregate Diesel 618.9276 19447.24 19447.24 0 2972.356 0 0.035316 0 0 0.004147 0 0 0.002 0.002746 0.004334 0 0 0.008 0.007845 303.5847 0 0 0.00056 0 0 0.04783 0 0 0.012057 00000 0.013726 00000 0.0031 0.116837 0 0 0.002877 0 0 San Mateo 2025 LDT2 Aggregate Aggregate Electricity 1700.502 48819.4 0 48819.4 8654.222 18848.32 000000 0.002 0.001526 0 0 0 0.008 0.004361 0000000000000000000000000000San Mateo 2025 LDT2 Aggregate Aggregate Plug‐in Hyb 1989.466 72787.26 33032.95 39754.31 8226.444 12006.99 0.002916 0 0.117199 0.00042 0 0.00156 0.002 0.001337 0.000457 0 0.001696 0.008 0.003821 122.4321 0 77.02717 0.000372 0 0.041746 0.00049 0 0.019683 0.001225 0 0.176635 0.025353 0.02271 0.287953 0.001788 0 0.193393 0.025353 0.02271 0.287953 0.019048 0.182712 0 1.37819 0.00121 0 0.000761 San Mateo 2025 LHDT1 Aggregate Aggregate Gasoline 11613.82 405927.2 405927.2 0 173028.5 0 0.093969 0.032618 0.546788 0.00135 0 0.000213 0.002 0.0273 0.001468 0 0.000231 0.008 0.078 823.2657 115.3954 26.50069 0.004903 0.104178 0.027302 0.005418 0.002847 0.046638 0.023679 0.374027 0.131854 0.03142 0.171421 1.736909 0.034552 0.545779 0.144364 0.03142 0.171421 1.736909 0.044961 0.885236 3.766067 3.36368 0.008139 0.001141 0.000262 San Mateo 2025 LHDT1 Aggregate Aggregate Diesel 5396.711 200335.3 200335.3 0 67883.84 0 0.878137 1.51814 0 0.022391 0.026666 0 0.003 0.0273 0.023404 0.027871 0 0.012 0.078 621.1678 124.9932 0 0.005716 0.005098 0 0.097865 0.019693 0 0.123053 0.10976 0000 0.140088 0.124954 0000 0.196014 0.301645 0.909745 0 0.005886 0.001184 0 San Mateo 2025 LHDT1 Aggregate Aggregate Electricity 157.5841 8786.546 0 8786.546 2203.775 5753.375 000000 0.002 0.01365 0 0 0 0.008 0.039 0000000000000000000000000000San Mateo 2025 LHDT2 Aggregate Aggregate Gasoline 1342.429 45031.5 45031.5 0 20000.19 0 0.105135 0.031386 0.546043 0.001282 0 0.000185 0.002 0.03185 0.001395 0 0.000201 0.008 0.091 929.119 133.658 25.05861 0.00412 0.099506 0.026702 0.006445 0.00265 0.044736 0.018664 0.360001 0.12953 0.032846 0.178071 1.845904 0.027234 0.525313 0.141819 0.032846 0.178071 1.845904 0.044991 0.769359 3.768677 3.317456 0.009185 0.001321 0.000248 San Mateo 2025 LHDT2 Aggregate Aggregate Diesel 2386.592 88314.97 88314.97 0 30020.32 0 0.665843 1.451157 0 0.020707 0.02679 0 0.003 0.03185 0.021644 0.028001 0 0.012 0.091 732.0694 199.191 0 0.00549 0.005098 0 0.115338 0.031383 0 0.118205 0.10976 0000 0.134569 0.124954 0000 0.203813 0.264963 0.909745 0 0.006937 0.001887 0San Mateo 2025 LHDT2 Aggregate Aggregate Electricity 40.48817 2145.224 0 2145.224 536.9131 1383.682 000000 0.002 0.015925 0 0 0 0.008 0.0455 0000000000000000000000000000San Mateo 2025 MCY Aggregate Aggregate Gasoline 13994.78 78703.42 78703.42 0 27989.55 0 0.505421 0 0.117673 0.001897 0 0.003489 0.001 0.0042 0.002031 0 0.003719 0.004 0.012 186.4281 0 44.64197 0.140818 0 0.16646 0.036419 0 0.007111 0.891986 0 1.219242 3.548067 3.701315 3.154868 1.084139 0 1.325883 3.548067 3.701315 3.154868 0.008947 10.66577 0 7.691483 0.001843 0 0.000441 San Mateo 2025 MDV Aggregate Aggregate Gasoline 89810.74 2915872 2915872 0 429459.7 0 0.050748 0 0.301319 0.001104 0 0.001871 0.002 0.002743 0.0012 0 0.002035 0.008 0.007838 394.1876 0 99.80167 0.002219 0 0.074825 0.004749 0 0.03376 0.008671 0 0.356712 0.062664 0.169351 1.048331 0.012652 0 0.390555 0.062664 0.169351 1.048331 0.039288 0.640699 0 3.225835 0.003897 0 0.000987San Mateo 2025 MDV Aggregate Aggregate Diesel 1216.213 38222.55 38222.55 0 5783.756 0 0.033166 0 0 0.003666 0 0 0.002 0.002807 0.003832 0 0 0.008 0.008021 398.1179 0 0 0.000395 0 0 0.062724 0 0 0.008497 00000 0.009674 00000 0.0031 0.166794 0 0 0.003772 0 0San Mateo 2025 MDV Aggregate Aggregate Electricity 1824.97 52408.32 0 52408.32 9288.746 20233.94 000000 0.002 0.001526 0 0 0 0.008 0.004361 0000000000000000000000000000San Mateo 2025 MDV Aggregate Aggregate Plug‐in Hyb 1131.124 42471.44 19328.41 23143.04 4677.198 6989.887 0.002924 0 0.117199 0.000462 0 0.001715 0.002 0.001337 0.000502 0 0.001865 0.008 0.003821 122.7729 0 94.34392 0.000374 0 0.041896 0.000495 0 0.019823 0.001229 0 0.176635 0.027524 0.023796 0.299651 0.001793 0 0.193393 0.027524 0.023796 0.299651 0.019114 0.18322 0 1.37819 0.001214 0 0.000933 San Mateo 2025 MH Aggregate Aggregate Gasoline 830.5401 8053.177 8053.177 0 83.08723 0 0.268304 0 0.400493 0.001562 0 0.000397 0.003 0.015756 0.001698 0 0.000432 0.012 0.045017 1946.149 0 31.33114 0.010026 0 0.036115 0.019184 0 0.043891 0.040666 0 0.147699 8.452557 0.201566 3.076801 0.05934 0 0.161711 8.452557 0.201566 3.076801 0.044943 0.905305 0 3.320123 0.01924 0 0.00031 San Mateo 2025 MH Aggregate Aggregate Diesel 384.5125 3863.222 3863.222 0 38.45125 0 2.990063 0 0 0.044795 0 0 0.004 0.015675 0.04682 0 0 0.016 0.044785 1086.155 0 0 0.004106 0 0 0.171124 0 0 0.088396 00000 0.100633 00000 0.194759 0.273956 0 0 0.010292 0 0San Mateo 2025 MHDT Aggregate Aggregate Gasoline 825.6427 47612.58 47612.58 0 16519.46 0 0.323037 0.085434 0.420472 0.001351 0 0.000505 0.003 0.015756 0.00147 0 0.00055 0.012 0.045017 1716.102 518.1406 44.32653 0.010425 0.267434 0.04506 0.017424 0.007433 0.033886 0.050062 1.017725 0.241229 0.026732 0.218345 2.098508 0.073051 1.485063 0.264116 0.026732 0.218345 2.098508 0.044995 1.017203 15.17464 5.286069 0.016965 0.005122 0.000438 San Mateo 2025 MHDT Aggregate Aggregate Diesel 4294.917 177557.8 177557.8 0 51845.95 0 1.188939 13.12716 1.614768 0.013944 0.027675 0 0.003 0.015982 0.014575 0.028927 0 0.012 0.045664 1145.121 2228.697 0 0.001506 0.011276 0 0.180414 0.351132 0 0.032415 0.242771 0000 0.036902 0.276376 0000 0.210368 0.120818 7.522952 0 0.010844 0.021104 0San Mateo 2025 MHDT Aggregate Aggregate Electricity 41.49574 2407.793 0 2407.793 583.4118 2680.293 000000 0.003 0.007951 0 0 0 0.012 0.022716 0000000000000000000000000000San Mateo 2025 MHDT Aggregate Aggregate Natural Ga 44.4449 2054.281 2054.281 0 404.8873 0 0.119383 6.528501 0 0.001296 0.019376 0 0.003 0.016094 0.001409 0.021073 0 0.012 0.045982 997.1964 5429.729 0 0.776466 16.96742 0 0.203285 1.106886 0 0.011094 0.242431 0000 0.79244 17.3165 0000 1.06 3.065754 37.47811 0000San Mateo 2025 OBUS Aggregate Aggregate Gasoline 252.722 13715.02 13715.02 0 5056.462 0 0.254289 0.063619 0.364813 0.00105 0 0.000289 0.003 0.01568 0.001142 0 0.000314 0.012 0.044799 1704.936 368.0466 29.69841 0.007842 0.204874 0.032288 0.014975 0.005762 0.031384 0.036425 0.747093 0.159999 0.025822 0.116247 1.973857 0.053152 1.090157 0.175179 0.025822 0.116247 1.973857 0.044948 0.777227 5.779588 3.340614 0.016855 0.003639 0.000294 San Mateo 2025 OBUS Aggregate Aggregate Diesel 1111.576 75305.13 75305.13 0 10889.45 0 0.812155 5.594758 1.4975 0.009252 0.003188 0 0.003 0.01738 0.009671 0.003332 0 0.012 0.049657 1227.827 1209.887 0 0.000915 0.014161 0 0.193445 0.190618 0 0.019696 0.304888 0000 0.022422 0.347092 0000 0.217867 0.092546 5.69186 0 0.011627 0.011457 0San Mateo 2025 OBUS Aggregate Aggregate Electricity 2.143949 185.5536 0 185.5536 42.89613 205.565 000000 0.003 0.00784 0 0 0 0.012 0.022399 0000000000000000000000000000San Mateo 2025 OBUS Aggregate Aggregate Natural Ga 9.18414 584.7868 584.7868 0 81.73885 0 0.165457 1.529579 0 0.001178 0.004086 0 0.003 0.016148 0.001282 0.004444 0 0.012 0.046137 991.5916 1195.033 0 0.803368 4.140164 0 0.202142 0.243615 0 0.011479 0.059155 0000 0.819896 4.225341 0000 1.06 3.290889 7.77441 0000San Mateo 2025 SBUS Aggregate Aggregate Gasoline 71.37135 3679.781 3679.781 0 285.4854 0 0.767242 0.883319 0.626471 0.001129 0 0.000724 0.002 0.015721 0.001228 0 0.000787 0.008 0.044917 782.2289 2499.775 59.80097 0.017691 2.446506 0.085381 0.036296 0.082358 0.056445 0.086658 10.61248 0.494948 0.122618 0.362839 1.907752 0.126452 15.4857 0.541906 0.122618 0.362839 1.907752 0.045 2.216556 82.06454 12.20654 0.007733 0.024713 0.000591 San Mateo 2025 SBUS Aggregate Aggregate Diesel 168.9397 3758.24 3758.24 0 2446.247 0 4.387797 22.54247 0.476886 0.020913 0.021713 0 0.003 0.015721 0.021858 0.022694 0 0.012 0.044917 1138.881 2225.679 0 0.002986 0.00812 0 0.179431 0.350657 0 0.064283 0.174818 0000 0.073182 0.199017 0000 0.144353 0.19584 4.548944 0 0.010785 0.021076 0San Mateo 2025 SBUS Aggregate Aggregate Electricity 1.984894 78.89105 0 78.89105 17.7986 83.10822 000000 0.002318 0.00786 0 0 0 0.00927 0.022459 0000000000000000000000000000San Mateo 2025 SBUS Aggregate Aggregate Natural Ga 6.552799 163.6295 163.6295 0 94.88454 0 0.515656 5.239615 0 0.003378 0.012103 0 0.003 0.015721 0.003674 0.013164 0 0.012 0.044917 1237.46 4096.22 0 3.296356 14.87044 0 0.252264 0.835041 0 0.047098 0.212469 0000 3.364173 15.17638 0000 1.06 10.9887 22.4292 0000 San Mateo 2025 UBUS Aggregate Aggregate Gasoline 61.62557 4190.344 4190.344 0 246.5023 0 0.03738 0 0.492117 0.001105 0 0.000151 0.002073 0.032333 0.001202 0 0.000164 0.00829 0.092379 995.3027 0 40.11712 0.002043 0 0.046071 0.00491 0 0.06861 0.005911 0 0.17302 0.05773 0.119898 0.618422 0.008625 0 0.189435 0.05773 0.119898 0.618422 0.045 0.562303 0 6.218459 0.00984 0 0.000397San Mateo 2025 UBUS Aggregate Aggregate Diesel 278.2185 21526.83 21526.83 0 1112.874 0 0.375553 0 0 0.006827 0 0 0.008097 0.0385 0.007136 0 0 0.032387 0.11 1223.606 0 0 0.003145 0 0 0.19278 0 0 0.067717 00000 0.077091 00000 0.22 0.077193 0 0 0.011594 0 0San Mateo 2025 UBUS Aggregate Aggregate Electricity 37.31748 3870.538 0 3870.538 149.2699 6747.293 000000 0.007369 0.01925 0 0 0 0.029474 0.055 0000000000000000000000000000San Mateo 2025 UBUS Aggregate Aggregate Natural Ga 65.5154 4534.391 4534.391 0 262.0616 0 0.055433 0 0 0.000272 0 0 0.007742 0.0385 0.000285 0 0 0.030968 0.11 1262.747 0 0 4.100892 0 0 0.257419 0 0 0.058594 00000 4.185261 00000 0.97 46.51263 00000 Season EmissionType LDA LDT1 LDT2 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH A CH4_IDLEX 0000 0.00509 0.002914 0.014756 0.267799843 0.006567 0 0 0.096127 0 A CH4_RUNEX 0.00162 0.0041 0.00193 0.002132 0.005098 0.004948 0.010272 0.250520376 0.007197 0.54719132 0.140818 0.080164 0.008107A CH4_STREX 0.058192 0.083348 0.065143 0.071971 0.019431 0.010676 0.010733 5.34126E‐07 0.010159 0.006413618 0.16646 0.008569 0.024689 A CO_IDLEX 0000 0.200102 0.144548 0.670548 4.674714728 0.489029 0 0 2.380991 0 A CO_RUNEX 0.533291 0.987128 0.602996 0.617373 0.682501 0.428407 0.331755 1.646685682 0.217767 6.298686532 10.66577 1.391898 0.700626 A CO_STREX 2.734945 4.216581 3.011981 3.098359 2.39397 1.326451 1.259096 0.027273177 1.051096 0.865678808 7.691483 1.225133 2.269732 A CO2_NBIO_IDLEX 0000 8.287123 13.09091 147.6661 768.7716723 90.15686 0 0 204.3512 0 A CO2_NBIO_RUNEX 239.848 311.9829 320.5917 383.6805 745.6768 785.9693 1250.179 1745.927029 1296.627 1061.974886 186.4281 958.4095 1667.344 A CO2_NBIO_STREX 62.52193 81.08968 81.05668 96.39616 18.86084 10.01943 10.5582 0.281822196 9.34435 5.584749803 44.64197 6.002043 21.41888 A NOX_IDLEX 0000 0.035258 0.07008 0.818136 3.946769356 0.388856 0 0 1.37311 0 A NOX_RUNEX 0.030637 0.087761 0.04216 0.048989 0.348047 0.468946 0.987366 2.50375798 0.721054 0.248884 0.505421 2.52561 1.150681A NOX_STREX 0.213914 0.311737 0.253723 0.289292 0.389155 0.21833 1.307286 2.741148405 1.129496 0.068508137 0.117673 0.473007 0.273789A PM10_IDLEX 0000 0.000619 0.001336 0.001805 0.003026664 0.000233 0 0 0.001378 0 A PM10_PMBW 0.006399 0.008017 0.007697 0.007724 0.077443 0.09028 0.045292 0.094175481 0.048836 0.142306362 0.012 0.044686 0.044942A PM10_PMTW 0.008 0.008 0.008 0.008 0.009303 0.010607 0.012 0.034505767 0.012 0.050724608 0.004 0.010056 0.013297A PM10_RUNEX 0.001114 0.001565 0.001198 0.001203 0.008592 0.014571 0.011587 0.023321334 0.008293 0.004687081 0.002031 0.011362 0.016327 A PM10_STREX 0.001913 0.002474 0.001951 0.001965 0.000165 8.04E‐05 0.000131 4.07065E‐06 9.88E‐05 2.28997E‐05 0.003719 7.9E‐05 0.000296 A PM25_IDLEX 0000 0.000592 0.001278 0.001726 0.002890137 0.000223 0 0 0.001317 0 A PM25_PMBW 0.00224 0.002806 0.002694 0.002704 0.027105 0.031598 0.015852 0.032961418 0.017092 0.049807227 0.0042 0.01564 0.01573 A PM25_PMTW 0.002 0.002 0.002 0.002 0.002326 0.002652 0.003 0.008626442 0.003 0.012681152 0.001 0.002514 0.003324A PM25_RUNEX 0.001025 0.00144 0.001102 0.001108 0.008184 0.013924 0.011074 0.022306121 0.007928 0.004478818 0.001897 0.010846 0.015578A PM25_STREX 0.001759 0.002275 0.001794 0.001807 0.000151 7.39E‐05 0.00012 3.74281E‐06 9.08E‐05 2.10555E‐05 0.003489 7.27E‐05 0.000272 A ROG_DIURN 0.23992 0.422505 0.185919 0.210348 0.082973 0.04954 0.024982 0.000585202 0.03104 0.021522802 3.154868 0.047869 21.0255A ROG_HTSK 0.073069 0.122434 0.05545 0.060196 0.022362 0.013133 0.006367 0.000175225 0.008125 0.008036694 3.548067 0.012307 5.778413A ROG_IDLEX 0000 0.020304 0.014898 0.027305 0.286668504 0.032871 0 0 0.277158 0 A ROG_RESTL 0000000 00 0000
A ROG_RUNEX 0.006173 0.01796 0.007248 0.008416 0.055709 0.083251 0.035544 0.031143571 0.022157 0.051233319 0.891986 0.073977 0.05614 A ROG_RUNLS 0.186625 0.340705 0.141591 0.162153 0.122003 0.0712 0.052008 0.001304636 0.036576 0.016691129 3.701315 0.036417 0.137796 A ROG_STREX 0.269607 0.418278 0.293472 0.342868 0.093842 0.051791 0.057459 2.89774E‐06 0.050342 0.024086249 1.219242 0.049676 0.100971 A SO2_IDLEX 0000 8.08E‐05 0.000126 0.001368 0.006392287 0.00085 0 0 0.001872 0A SO2_RUNEX 0.002371 0.003084 0.003169 0.003791 0.007289 0.007574 0.011902 0.015292952 0.012326 0.008522909 0.001843 0.008982 0.016339 A SO2_STREX 0.000618 0.000802 0.000801 0.000953 0.000186 9.91E‐05 0.000104 2.7861E‐06 9.24E‐05 5.52109E‐05 0.000441 5.93E‐05 0.000212A TOG_DIURN 0.23992 0.422505 0.185919 0.210348 0.082973 0.04954 0.024982 0.000585202 0.03104 0.021522802 0.07414 0.047869 21.0255A TOG_HTSK 0.073069 0.122434 0.05545 0.060196 0.022362 0.013133 0.006367 0.000175225 0.008125 0.008036694 3.548067 0.012307 5.778413 A TOG_IDLEX 0000 0.028846 0.02006 0.045892 0.58212113 0.043566 0 0 0.435346 0 A TOG_RESTL 0000000 00 0000
A TOG_RUNEX 0.008994 0.026198 0.010562 0.012246 0.068434 0.096765 0.050769 0.286222734 0.032263 0.60586165 1.084139 0.168065 0.072727 A TOG_RUNLS 0.186625 0.340705 0.141591 0.162153 0.122003 0.0712 0.052008 0.001304636 0.036576 0.016691129 3.701315 0.036417 0.137796 A TOG_STREX 0.295186 0.457962 0.321315 0.375397 0.102745 0.056705 0.06291 3.17266E‐06 0.055119 0.026371411 1.325883 0.054389 0.110551 A N2O_IDLEX 0000 0.000573 0.001568 0.022543 0.125460338 0.013415 0 0 0.024817 0A N2O_RUNEX 0.003578 0.006848 0.004417 0.005335 0.035453 0.077321 0.144932 0.280344669 0.165841 0.156430799 0.036419 0.110563 0.068442A N2O_STREX 0.0275 0.033715 0.031397 0.032482 0.033192 0.017887 0.008071 5.62128E‐07 0.009875 0.009551223 0.007111 0.005665 0.030005 CalEEMod EMFAC2021 Emission Factors Input
FleetMixLandUseSubTypeLDA LDT1 LDT2 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH

0.448243 0.043109 0.27536 0.157817 0.028829 0.00633 0.008743 0.002558 0.00231 0.000743 0.0235 0.000418 0.00204 CalEEMod EMFAC2021 Fleet Mix Input
Source: EMFAC2021 (v1.0.1) Emission Rates
Region Type: CountyRegion: San MateoCalendar Year: 2030Season: AnnualVehicle Classification: EMFAC2007 CategoriesUnits:  miles/day for CVMT and EVMT, trips/day for Trips, kWh/day for Energy Consumption, g/mile for RUNEX, PMBW and PMTW, g/trip for STREX, HOTSOAK and RUNLOSS, g/vehicle/day for IDLEX and DIURNRegion Calendar Y Vehicle CatModel Yea Speed Fuel Population Total VMT CVMT EVMT Trips Energy ConNOx_RUNENOx_IDLEXNOx_STREXPM2.5_RU PM2.5_IDL PM2.5_STRPM2.5_PMPM2.5_PMPM10_RUNPM10_IDLEPM10_STR PM10_PMTPM10_PMBCO2_RUNECO2_IDLEXCO2_STREXCH4_RUNECH4_IDLEXCH4_STREXN2O_RUNEN2O_IDLEXN2O_STREXROG_RUNEROG_IDLEXROG_STREXROG_HOTSROG_RUNLROG_DIUR TOG_RUNETOG_IDLEXTOG_STREXTOG_HOTSTOG_RUNLTOG_DIUR NH3_RUNECO_RUNEXCO_IDLEX CO_STREX SOx_RUNE SOx_IDLEX SOx_STREX San Mateo 2030 HHDT Aggregate Aggregate Gasoline 3.582613 348.8502 348.8502 0 71.68092 0 3.309536 0 0.000636 0.001281 0 0.000408 0.005 0.031258 0.001393 0 0.000444 0.02 0.08931 2124.112 0 48.3003 0.102341 0 7.44E‐05 0.139473 0 4.21E‐05 0.479172 0 0.000403 0.0158 0.095238 1.146877 0.699207 0 0.000441 0.0158 0.095238 1.146877 0.045 32.18037 0 4.037713 0.020999 0 0.000477 San Mateo 2030 HHDT Aggregate Aggregate Diesel 1338.439 117080 117080 0 15181.71 0 2.116368 45.39119 3.044846 0.023283 0.023862 0 0.008615 0.030087 0.024335 0.024941 0 0.03446 0.085963 1627.718 7731.446 0 0.000972 0.162527 0 0.256448 1.218092 0 0.020928 3.499162 0000 0.023825 3.98353 0000 0.207747 0.090912 50.23689 0 0.015414 0.073212 0 San Mateo 2030 HHDT Aggregate Aggregate Electricity 84.88807 7748.726 0 7748.726 800.5398 14460.23 000000 0.00845 0.017769 0 0 0 0.033801 0.050769 0000000000000000000000000000San Mateo 2030 HHDT Aggregate Aggregate Natural Ga 216.9868 13750.35 13750.35 0 1391.47 0 0.831786 6.734329 0 0.001446 0.012428 0 0.009 0.062879 0.001573 0.013516 0 0.036 0.179654 1389.59 7977.287 0 1.838591 17.41083 0 0.283277 1.626222 0 0.037223 0.267421 0000 1.888896 17.79029 0000 0.693529 12.98287 57.90215 0000San Mateo 2030 LDA Aggregate Aggregate Gasoline 237797.8 6358120 6358120 0 1114767 0 0.025015 0 0.198441 0.00084 0 0.0015 0.002 0.002348 0.000914 0 0.001631 0.008 0.006709 250.3795 0 62.47074 0.001264 0 0.048749 0.003327 0 0.026593 0.004452 0 0.219797 0.064961 0.182842 1.100035 0.006497 0 0.24065 0.064961 0.182842 1.100035 0.039859 0.49519 0 2.387223 0.002475 0 0.000618San Mateo 2030 LDA Aggregate Aggregate Diesel 401.2092 8094.892 8094.892 0 1723.63 0 0.081629 0 0 0.005614 0 0 0.002 0.002417 0.005867 0 0 0.008 0.006907 217.7249 0 0 0.000572 0 0 0.034303 0 0 0.012309 00000 0.014013 00000 0.0031 0.228322 0 0 0.002063 0 0 San Mateo 2030 LDA Aggregate Aggregate Electricity 25244.08 809588.1 0 809588.1 122638.4 312567.8 000000 0.002 0.001533 0 0 0 0.008 0.004381 0000000000000000000000000000San Mateo 2030 LDA Aggregate Aggregate Plug‐in Hyb 9770.495 287561.1 127243.4 160317.7 40401 48420.73 0.002843 0 0.117199 0.000375 0 0.001465 0.002 0.001348 0.000407 0 0.001593 0.008 0.00385 119.3761 0 61.72963 0.000352 0 0.040464 0.000449 0 0.018494 0.001195 0 0.176635 0.03873 0.045962 0.467089 0.001743 0 0.193393 0.03873 0.045962 0.467089 0.018225 0.17816 0 1.37819 0.00118 0 0.00061 San Mateo 2030 LDT1 Aggregate Aggregate Gasoline 27717.91 705667.7 705667.7 0 127669.4 0 0.047693 0 0.23518 0.000977 0 0.001648 0.002 0.002822 0.001063 0 0.001793 0.008 0.008064 291.8441 0 73.503 0.00227 0 0.057547 0.004614 0 0.028888 0.009274 0 0.271146 0.085215 0.246386 1.458315 0.013533 0 0.29687 0.085215 0.246386 1.458315 0.039865 0.675828 0 2.884818 0.002885 0 0.000727San Mateo 2030 LDT1 Aggregate Aggregate Diesel 0.204115 6.131891 6.131891 0 1.004394 0 0.025448 0 0 0.003365 0 0 0.002 0.002682 0.003517 0 0 0.008 0.007662 360.704 0 0 0.000511 0 0 0.056829 0 0 0.011001 00000 0.012524 00000 0.0031 0.101404 0 0 0.003418 0 0 San Mateo 2030 LDT1 Aggregate Aggregate Electricity 315.4332 10759.94 0 10759.94 1561.79 4154.226 000000 0.002 0.00153 0 0 0 0.008 0.004372 0000000000000000000000000000San Mateo 2030 LDT1 Aggregate Aggregate Plug‐in Hyb 248.8694 7950.15 3286.476 4663.674 1029.075 1408.569 0.002656 0 0.117199 0.000235 0 0.000982 0.002 0.001357 0.000256 0 0.001068 0.008 0.003878 111.5238 0 67.77418 0.000329 0 0.040538 0.000421 0 0.018562 0.001116 0 0.176635 0.022993 0.019942 0.267154 0.001629 0 0.193393 0.022993 0.019942 0.267154 0.017362 0.166441 0 1.37819 0.001103 0 0.00067 San Mateo 2030 LDT2 Aggregate Aggregate Gasoline 206077.5 5643289 5643289 0 980667.9 0 0.031039 0 0.220236 0.000827 0 0.001417 0.002 0.002768 0.000899 0 0.001541 0.008 0.007907 305.2696 0 76.05021 0.001503 0 0.052526 0.003653 0 0.029181 0.005296 0 0.229711 0.045237 0.123667 0.765395 0.007728 0 0.251505 0.045237 0.123667 0.765395 0.040897 0.539909 0 2.545867 0.003018 0 0.000752 San Mateo 2030 LDT2 Aggregate Aggregate Diesel 779.569 21227.36 21227.36 0 3709.708 0 0.028723 0 0 0.003778 0 0 0.002 0.002772 0.003949 0 0 0.008 0.00792 283.3526 0 0 0.000535 0 0 0.044642 0 0 0.011525 00000 0.013121 00000 0.0031 0.115181 0 0 0.002685 0 0San Mateo 2030 LDT2 Aggregate Aggregate Electricity 4330.718 103349.1 0 103349.1 21553.59 39901.28 000000 0.002 0.001531 0 0 0 0.008 0.004374 0000000000000000000000000000San Mateo 2030 LDT2 Aggregate Aggregate Plug‐in Hyb 3821.263 114216.7 48686.66 65530.03 15800.92 19792.02 0.002739 0 0.117199 0.000291 0 0.001179 0.002 0.001354 0.000317 0 0.001283 0.008 0.003869 114.9986 0 74.21213 0.000338 0 0.040354 0.00043 0 0.018393 0.001151 0 0.176635 0.026073 0.02498 0.30357 0.00168 0 0.193393 0.026073 0.02498 0.30357 0.017899 0.171627 0 1.37819 0.001137 0 0.000734 San Mateo 2030 LHDT1 Aggregate Aggregate Gasoline 13418.94 401266.7 401266.7 0 199922.2 0 0.04859 0.028514 0.462341 0.001251 0 0.000149 0.002 0.0273 0.001361 0 0.000162 0.008 0.078 782.2571 111.312 25.41512 0.002474 0.092233 0.022399 0.003012 0.002564 0.040565 0.010703 0.327199 0.105404 0.022577 0.12944 1.313798 0.015618 0.477448 0.115404 0.022577 0.12944 1.313798 0.045 0.67997 3.773798 3.355298 0.007733 0.0011 0.000251San Mateo 2030 LHDT1 Aggregate Aggregate Diesel 6950.283 217964.5 217964.5 0 87425.82 0 0.484943 1.179571 0 0.017739 0.02636 0 0.003 0.0273 0.018541 0.027552 0 0.012 0.078 610.5039 119.3947 0 0.004593 0.005098 0 0.096185 0.018811 0 0.098884 0.10976 0000 0.112573 0.124954 0000 0.209503 0.232836 0.909745 0 0.005785 0.001131 0 San Mateo 2030 LHDT1 Aggregate Aggregate Electricity 1651.837 70758.49 0 70758.49 23140.54 46352.96 000000 0.002 0.01365 0 0 0 0.008 0.039 0000000000000000000000000000San Mateo 2030 LHDT2 Aggregate Aggregate Gasoline 1516.427 44034.41 44034.41 0 22592.5 0 0.0535 0.026469 0.446387 0.001188 0 0.000128 0.002 0.03185 0.001292 0 0.000139 0.008 0.091 883.1295 128.7905 24.14624 0.002097 0.08544 0.021117 0.003676 0.002338 0.038045 0.00861 0.303836 0.099505 0.023317 0.135292 1.428649 0.012564 0.443356 0.108945 0.023317 0.135292 1.428649 0.045 0.63201 3.776933 3.316614 0.008731 0.001273 0.000239 San Mateo 2030 LHDT2 Aggregate Aggregate Diesel 3226.044 98642.37 98642.37 0 40579.57 0 0.436422 1.156649 0 0.01874 0.026765 0 0.003 0.03185 0.019587 0.027975 0 0.012 0.091 713.7283 191.5832 0 0.004866 0.005098 0 0.112448 0.030184 0 0.104751 0.10976 0000 0.119253 0.124954 0000 0.212304 0.238694 0.909745 0 0.006763 0.001815 0 San Mateo 2030 LHDT2 Aggregate Aggregate Electricity 416.7471 17085.75 0 17085.75 5526.66 11020.92 000000 0.002 0.015925 0 0 0 0.008 0.0455 0000000000000000000000000000San Mateo 2030 MCY Aggregate Aggregate Gasoline 17265.42 85331.57 85331.57 0 34530.84 0 0.471636 0 0.087961 0.00193 0 0.003402 0.001 0.0042 0.002069 0 0.003639 0.004 0.012 185.2558 0 39.68002 0.129549 0 0.143907 0.035104 0 0.005584 0.790266 0 1.025021 3.535952 3.670486 2.694632 0.977152 0 1.115488 3.535952 3.670486 2.694632 0.00908 9.714966 0 7.581403 0.001831 0 0.000392San Mateo 2030 MDV Aggregate Aggregate Gasoline 115764.2 3248131 3248131 0 549832.1 0 0.032414 0 0.238074 0.000811 0 0.001423 0.002 0.002792 0.000882 0 0.001547 0.008 0.007976 368.7759 0 92.22249 0.00155 0 0.05581 0.003744 0 0.030164 0.005553 0 0.251972 0.048156 0.134906 0.832269 0.008103 0 0.275878 0.048156 0.134906 0.832269 0.040906 0.545181 0 2.607134 0.003646 0 0.000912San Mateo 2030 MDV Aggregate Aggregate Diesel 1415.877 38111.74 38111.74 0 6658.508 0 0.017624 0 0 0.002054 0 0 0.002 0.002838 0.002147 0 0 0.008 0.008109 372.2787 0 0 0.000277 0 0 0.058653 0 0 0.005968 00000 0.006794 00000 0.0031 0.147116 0 0 0.003528 0 0San Mateo 2030 MDV Aggregate Aggregate Electricity 4329.635 102706.8 0 102706.8 21508.26 39653.32 000000 0.002 0.001532 0 0 0 0.008 0.004377 0000000000000000000000000000San Mateo 2030 MDV Aggregate Aggregate Plug‐in Hyb 2286.849 70894.89 30074.66 40820.23 9456.121 12328.93 0.002725 0 0.117199 0.000297 0 0.001215 0.002 0.001355 0.000323 0 0.001322 0.008 0.003872 114.4453 0 90.22943 0.000338 0 0.040515 0.000432 0 0.018541 0.001145 0 0.176635 0.026805 0.026275 0.314563 0.001671 0 0.193393 0.026805 0.026275 0.314563 0.017817 0.170801 0 1.37819 0.001131 0 0.000892 San Mateo 2030 MH Aggregate Aggregate Gasoline 975.2695 8905.399 8905.399 0 97.56596 0 0.146497 0 0.389106 0.001397 0 0.00035 0.003 0.015756 0.001519 0 0.00038 0.012 0.045017 1945.035 0 30.49184 0.005338 0 0.03291 0.013993 0 0.045078 0.017368 0 0.125455 4.324204 0.104731 1.656784 0.025343 0 0.137357 4.324204 0.104731 1.656784 0.045 0.266588 0 2.838247 0.019229 0 0.000301San Mateo 2030 MH Aggregate Aggregate Diesel 518.1906 4498.521 4498.521 0 51.81906 0 2.677361 0 0 0.030184 0 0 0.004 0.015675 0.031549 0 0 0.016 0.044785 1087.256 0 0 0.003786 0 0 0.171298 0 0 0.081505 00000 0.092788 00000 0.206555 0.243761 0 0 0.010302 0 0 San Mateo 2030 MHDT Aggregate Aggregate Gasoline 896.2067 46600.57 46600.57 0 17931.3 0 0.14535 0.071332 0.336727 0.001349 0 0.000468 0.003 0.015756 0.001468 0 0.000509 0.012 0.045017 1641.475 495.3697 40.83701 0.005139 0.272865 0.039358 0.010032 0.006541 0.029695 0.022413 1.024632 0.19997 0.016844 0.142325 1.402001 0.032705 1.49514 0.218942 0.016844 0.142325 1.402001 0.045 0.405969 15.25491 4.210824 0.016228 0.004897 0.000404 San Mateo 2030 MHDT Aggregate Aggregate Diesel 4347.362 170380.4 170380.4 0 52605.86 0 0.755775 11.60663 1.523653 0.006958 0.010527 0 0.003 0.015983 0.007273 0.011003 0 0.012 0.045667 1112.069 2136.504 0 0.000749 0.00921 0 0.175207 0.336607 0 0.016126 0.198289 0000 0.018358 0.225736 0000 0.215702 0.077124 7.484208 0 0.010531 0.020231 0San Mateo 2030 MHDT Aggregate Aggregate Electricity 446.3324 23740.44 0 23740.44 6143.241 26136.71 000000 0.003 0.007953 0 0 0 0.012 0.022724 0000000000000000000000000000San Mateo 2030 MHDT Aggregate Aggregate Natural Ga 59.81429 2526.343 2526.343 0 572.8236 0 0.0963 6.310343 0 0.001402 0.020216 0 0.003 0.016078 0.001525 0.021987 0 0.012 0.045938 974.2403 5301.669 0 0.781312 15.85967 0 0.198605 1.08078 0 0.011163 0.226603 0000 0.797386 16.18596 0000 1.06 3.055339 39.52768 0000 San Mateo 2030 OBUS Aggregate Aggregate Gasoline 235.2431 10564.99 10564.99 0 4706.745 0 0.160976 0.055683 0.334188 0.001132 0 0.000289 0.003 0.01568 0.001231 0 0.000315 0.012 0.044799 1631.402 356.5246 28.55452 0.004957 0.201951 0.030859 0.010543 0.00494 0.028192 0.021402 0.748646 0.154359 0.024573 0.126962 2.196095 0.03123 1.092423 0.169003 0.024573 0.126962 2.196095 0.045 0.436972 5.788883 3.119712 0.016128 0.003525 0.000282 San Mateo 2030 OBUS Aggregate Aggregate Diesel 1265.064 76747.17 76747.17 0 12416.27 0 0.731147 4.662626 1.324481 0.008334 0.002706 0 0.003 0.017521 0.008711 0.002828 0 0.012 0.050059 1157.144 1158.301 0 0.000821 0.014331 0 0.182309 0.182491 0 0.017683 0.308549 0000 0.020131 0.351259 0000 0.218276 0.087625 5.772448 0 0.010957 0.010968 0San Mateo 2030 OBUS Aggregate Aggregate Electricity 18.67716 1366.971 0 1366.971 373.6926 1514.395 000000 0.003 0.00784 0 0 0 0.012 0.022399 0000000000000000000000000000San Mateo 2030 OBUS Aggregate Aggregate Natural Ga 14.94448 957.8955 957.8955 0 133.0059 0 0.101418 1.499098 0 0.001484 0.004813 0 0.003 0.016148 0.001614 0.005235 0 0.012 0.046137 931.1349 1169.497 0 0.838494 3.763815 0 0.189818 0.23841 0 0.01198 0.053777 0000 0.855745 3.84125 0000 1.06 3.385525 9.413723 0000 San Mateo 2030 SBUS Aggregate Aggregate Gasoline 87.98822 4038.39 4038.39 0 351.9529 0 0.489617 0.750616 0.559502 0.001063 0 0.000722 0.002 0.015721 0.001156 0 0.000786 0.008 0.044917 757.0149 2429.667 55.27111 0.010391 2.44431 0.075405 0.024791 0.073975 0.052746 0.050694 10.64152 0.434086 0.098112 0.31801 1.752705 0.073972 15.52808 0.47527 0.098112 0.31801 1.752705 0.045 1.308566 82.24088 10.22191 0.007484 0.02402 0.000546 San Mateo 2030 SBUS Aggregate Aggregate Diesel 160.7253 3531.519 3531.519 0 2327.302 0 2.868955 18.37325 0.553036 0.014701 0.012669 0 0.003 0.015721 0.015365 0.013242 0 0.012 0.044917 1113.173 2158.09 0 0.002281 0.007956 0 0.175381 0.340008 0 0.049109 0.1713 0000 0.055907 0.195012 0000 0.169646 0.15856 5.305748 0 0.010541 0.020436 0San Mateo 2030 SBUS Aggregate Aggregate Electricity 17.84997 651.998 0 651.998 163.1263 686.851 000000 0.00236 0.00786 0 0 0 0.009438 0.022459 0000000000000000000000000000San Mateo 2030 SBUS Aggregate Aggregate Natural Ga 7.671522 180.9535 180.9535 0 111.0836 0 0.443878 5.198476 0 0.003378 0.013085 0 0.003 0.015721 0.003674 0.014231 0 0.012 0.044917 1201.138 4122.528 0 3.098317 14.36251 0 0.24486 0.840404 0 0.044269 0.205212 0000 3.16206 14.658 0000 1.06 10.05674 24.64166 0000 San Mateo 2030 UBUS Aggregate Aggregate Gasoline 62.5174 4249.774 4249.774 0 250.0696 0 0.035638 0 0.310547 0.001201 0 0.000164 0.002072 0.032329 0.001307 0 0.000179 0.008288 0.09237 932.2834 0 37.52663 0.001497 0 0.032416 0.004454 0 0.04913 0.004138 0 0.115554 0.024606 0.097267 0.356985 0.006038 0 0.126517 0.024606 0.097267 0.356985 0.045 0.559001 0 5.953718 0.009217 0 0.000371San Mateo 2030 UBUS Aggregate Aggregate Diesel 238.4518 18140.33 18140.33 0 953.8071 0 0.376197 0 0 0.006839 0 0 0.008109 0.0385 0.007148 0 0 0.032436 0.11 1228.547 0 0 0.003149 0 0 0.193558 0 0 0.067807 00000 0.077193 00000 0.22 0.077324 0 0 0.011641 0 0San Mateo 2030 UBUS Aggregate Aggregate Electricity 72.67394 6853.165 0 6853.165 290.6957 11946.74 000000 0.007651 0.01925 0 0 0 0.030604 0.055 0000000000000000000000000000San Mateo 2030 UBUS Aggregate Aggregate Natural Ga 75.54888 5381.015 5381.015 0 302.1955 0 0.055771 0 0 0.000273 0 0 0.007786 0.0385 0.000286 0 0 0.031145 0.11 1266.418 0 0 4.115508 0 0 0.258168 0 0 0.058802 00000 4.200177 00000 0.97 46.76788 00000 Season EmissionType LDA LDT1 LDT2 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH A CH4_IDLEX 0000 0.0041 0.002311 0.015963 0.229026242 0.006914 0 0 0.110559 0 A CH4_RUNEX 0.001091 0.002215 0.001451 0.001466 0.00289 0.003582 0.009624 0.18305022 0.010248 0.641431362 0.129549 0.072674 0.004817A CH4_STREX 0.043749 0.056722 0.051039 0.052888 0.014423 0.007552 0.009135 3.05733E‐07 0.008239 0.004511552 0.143907 0.008986 0.021494 A CO_IDLEX 0000 0.183464 0.137123 0.628743 4.574443284 0.49944 0 0 2.802822 0 A CO_RUNEX 0.428969 0.660194 0.521738 0.516941 0.468992 0.321574 0.163527 1.442396346 0.162707 7.377393404 9.714966 0.912101 0.258927 A CO_STREX 2.12334 2.838305 2.46486 2.462348 2.160461 1.186135 0.977377 0.016590448 0.832894 0.828623357 7.581403 1.218105 1.853708A CO2_NBIO_IDLEX 0000 7.483418 12.87527 130.0816 692.3906648 88.86546 0 0 200.5332 0 A CO2_NBIO_RUNEX 218.1367 285.5306 296.1322 352.6558 647.7805 684.09 1103.524 1514.609777 1192.98 954.9035774 185.2558 857.525 1657.153 A CO2_NBIO_STREX 56.37559 72.5759 74.14137 87.76861 16.36469 8.635527 9.478708 0.198459779 7.623425 5.222861474 39.68002 6.586443 19.91475A NOX_IDLEX 0000 0.027637 0.059703 0.658867 3.566245811 0.336592 0 0 1.035723 0 A NOX_RUNEX 0.021508 0.04649 0.029936 0.03068 0.181449 0.284207 0.558221 1.874181967 0.646065 0.210138516 0.471636 1.45062 0.995886A NOX_STREX 0.176589 0.231426 0.213197 0.224713 0.2977 0.159643 1.115695 2.649753409 1.022028 0.043221096 0.087961 0.50246 0.254132A PM10_IDLEX 0000 0.000617 0.001429 0.000636 0.00208163 0.000207 0 0 0.000758 0 A PM10_PMBW 0.006346 0.007963 0.007767 0.007787 0.074001 0.086134 0.043306 0.093281284 0.048975 0.156110891 0.012 0.043175 0.04494 A PM10_PMTW 0.008 0.008 0.008 0.008 0.009264 0.01047 0.012 0.034539384 0.012 0.061827696 0.004 0.009879 0.013342A PM10_RUNEX 0.0008 0.001038 0.000883 0.000858 0.006648 0.01245 0.005391 0.020667549 0.00762 0.003949707 0.002069 0.007092 0.011597A PM10_STREX 0.001471 0.001765 0.001499 0.001469 0.000104 4.97E‐05 0.000118 1.82388E‐06 8.4E‐05 2.48573E‐05 0.003639 9.36E‐05 0.000248 A PM25_IDLEX 0000 0.00059 0.001367 0.000608 0.001985313 0.000198 0 0 0.000723 0 A PM25_PMBW 0.002221 0.002787 0.002718 0.002725 0.0259 0.030147 0.015157 0.032648449 0.017141 0.054638812 0.0042 0.015111 0.015729A PM25_PMTW 0.002 0.002 0.002 0.002 0.002316 0.002617 0.003 0.008634846 0.003 0.015456924 0.001 0.00247 0.003336A PM25_RUNEX 0.000736 0.000955 0.000812 0.00079 0.006331 0.011898 0.005147 0.019767546 0.007285 0.003772866 0.00193 0.006762 0.011058A PM25_STREX 0.001353 0.001623 0.001378 0.001351 9.57E‐05 4.57E‐05 0.000109 1.67699E‐06 7.72E‐05 2.28554E‐05 0.003402 8.61E‐05 0.000228 A ROG_DIURN 0.208006 0.310821 0.155511 0.165232 0.056781 0.034294 0.016264 0.000235524 0.029304 0.012421079 2.694632 0.052216 10.81642 A ROG_HTSK 0.057819 0.083701 0.043823 0.045503 0.014537 0.008339 0.00391 6.49199E‐05 0.00656 0.003424597 3.535952 0.011692 2.824213 A ROG_IDLEX 0000 0.016598 0.012899 0.023221 0.271787437 0.032176 0 0 0.326882 0 A ROG_RESTL 0000000 00 0000
A ROG_RUNEX 0.003852 0.009047 0.005145 0.005303 0.037462 0.06705 0.015705 0.022524009 0.017791 0.045171786 0.790266 0.045956 0.038893 A ROG_RUNLS 0.160749 0.241641 0.119083 0.126689 0.083346 0.048385 0.033035 0.000391321 0.033896 0.013537374 3.670486 0.037896 0.068402 A ROG_STREX 0.197071 0.267146 0.223211 0.238678 0.067869 0.035586 0.046415 1.65627E‐06 0.04121 0.01608249 1.025021 0.051728 0.081937 A SO2_IDLEX 0000 7.29E‐05 0.000123 0.001195 0.005616953 0.000834 0 0 0.001828 0A SO2_RUNEX 0.002156 0.002823 0.002927 0.003485 0.006325 0.006582 0.010485 0.013042303 0.011283 0.007230239 0.001831 0.008027 0.016233 A SO2_STREX 0.000557 0.000717 0.000733 0.000868 0.000162 8.54E‐05 9.37E‐05 1.96198E‐06 7.54E‐05 5.16333E‐05 0.000392 6.51E‐05 0.000197 A TOG_DIURN 0.208006 0.310821 0.155511 0.165232 0.056781 0.034294 0.016264 0.000235524 0.029304 0.012421079 0.066855 0.052216 10.81642 A TOG_HTSK 0.057819 0.083701 0.043823 0.045503 0.014537 0.008339 0.00391 6.49199E‐05 0.00656 0.003424597 3.535952 0.011692 2.824213 A TOG_IDLEX 0000 0.023432 0.017024 0.04258 0.526899253 0.043038 0 0 0.511291 0 A TOG_RESTL 0000000 00 0000
A TOG_RUNEX 0.005617 0.013201 0.007494 0.007717 0.044644 0.077093 0.027406 0.208786723 0.030062 0.693940204 0.977152 0.127141 0.047979 A TOG_RUNLS 0.160749 0.241641 0.119083 0.126689 0.083346 0.048385 0.033035 0.000391321 0.033896 0.013537374 3.670486 0.037896 0.068402 A TOG_STREX 0.215768 0.292491 0.244388 0.261323 0.074308 0.038963 0.050819 1.8134E‐06 0.04512 0.017608302 1.115488 0.056636 0.08971A N2O_IDLEX 0000 0.000532 0.001598 0.019855 0.113681015 0.013363 0 0 0.02289 0A N2O_RUNEX 0.002889 0.0045 0.003674 0.00417 0.032136 0.070442 0.126706 0.244505965 0.159364 0.142077729 0.035104 0.090896 0.066786A N2O_STREX 0.023753 0.02846 0.028293 0.028531 0.02612 0.013606 0.006893 1.7284E‐07 0.007527 0.006837798 0.005584 0.006286 0.029442 CalEEMod EMFAC2021 Emission Factors Input
FleetMixLandUseSubTypeLDA LDT1 LDT2 MDV LHD1 LHD2 MHD HHD OBUS UBUS MCY SBUS MH

0.392609 0.040642 0.308969 0.177896 0.031644 0.007414 0.008262 0.002362 0.002204 0.000645 0.024811 0.000394 0.002146 CalEEMod EMFAC2021 Fleet Mix Input
Attachment 4: Project Construction Emissions and Health Risk Calculations

580 Dubuque Ave, South San Francisco, CA
DPM Emissions and Modeling Emission Rates - Unmitigated DPM
Modeled Emission
Construction DPM Area DPM Emissions Area Rate
Year Activity (ton/year) Source (lb/yr) (lb/hr) (g/s) (m2 ) (g/s/m2)
2022 Construction 0.1130 CON_DPM 226.0 0.07285 9.18E-03 7,647 1.20E-06 2023 Construction 0.0627 CON_DPM 125.5 0.04045 5.10E-03 7,647 6.66E-07 2024 Construction 0.0057 CON_DPM 11.3 0.00366 4.61E-04 7,647 6.03E-08 Total 0.1814 362.8 0.1170 0.0147
Construction Hours
hr/day = 8.5 (7am - 3:30pm)
days/yr = 365
hours/year = 3102.5
580 Dubuque Ave, South San Francisco, CA
PM2.5 Fugitive Dust Emissions for Modeling - Unmitigated PM2.5
Modeled Emission
Construction Area PM2.5 Emissions Area Rate
Year Activity Source (ton/year) (lb/yr) (lb/hr) (g/s) (m2 ) g/s/m2
2022 Construction CON_FUG 0.0920 184.1 0.05933 7.48E-03 7,647 9.78E-07 2023 Construction CON_FUG 0.0018 3.7 0.00118 1.49E-04 7,647 1.95E-08 2024 Construction CON_FUG 0.0006 1.2 0.00040 5.07E-05 7,647 6.63E-09 Total 0.0945 189.0 0.0609 0.0077
Construction Hours
hr/day = 8.5 (7am - 3:30pm)
days/yr = 365
hours/year = 3102.5

580 Dubuque Ave, South San Francisco, CA
Construction Health Impact Summary
Maximum Impacts at MEI Location - Without Mitigation
Maximum Concentrations Maximum
Exhaust Fugitive Hazard Annual PM2.5
Emissions PM10/DPM PM2.5 Index Concentration
Year (μg/m3
) (μg/m3) Infant/Child Adult (-) (μg/m3)
2022 0.0311 0.0256 5.53 0.09 0.01 0.06
2023 0.0173 0.0005 2.84 0.05 0.00 0.02
2024 0.0016 0.0002 0.04 0.00 0.00 0.00
Total -- 8.41 0.14 -
Maximum 0.0311 0.0256 - - 0.01 0.06
Cancer Risk
(per million)

580 Dubuque Ave, South San Francisco, CA - Construction Impacts - Without Mitigation Maximum DPM Cancer Risk and PM2.5 Calculations From Construction Impacts at Off-Site MEI Location - 7.6 meter receptor height Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
CPF = 1.10E+00 1.10E+00 1.10E+00 1.10E+00
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Infant/Child - Exposure Information Infant/Child Adult - Exposure Information Adult Exposure Age Cancer Modeled Age Cancer Maximum
Exposure Duration DPM Conc (ug/m3) Sensitivity Risk DPM Conc (ug/m3) Sensitivity Risk Hazard Fugitive Total Year (years) Age Year Annual Factor (per million) Year Annual Factor (per million) Index PM2.5 PM2.5 0 0.25 -0.25 - 0* 2022 0.0311 10 0.42 2022 0.0311 - -
1 1 0 - 1 2022 0.0311 10 5.11 2022 0.0311 1 0.09 0.006 0.026 0.06 2 1 1 - 2 2023 0.0173 10 2.84 2023 0.0173 1 0.05 0.003 0.001 0.02 3 1 2 - 3 2024 0.0016 3 0.04 2024 0.0016 1 0.00 0.000 0.000 0.00 4 1 3 - 4 0.0000 3 0.00 0.0000 1 0.00
5 1 4 - 5 0.0000 3 0.00 0.0000 1 0.00
6 1 5 - 6 0.0000 3 0.00 0.0000 1 0.00
7 1 6 - 7 0.0000 3 0.00 0.0000 1 0.00
8 1 7 - 8 0.0000 3 0.00 0.0000 1 0.00
9 1 8 - 9 0.0000 3 0.00 0.0000 1 0.00
10 1 9 - 10 0.0000 3 0.00 0.0000 1 0.00
11 1 10 - 11 0.0000 3 0.00 0.0000 1 0.00
12 1 11 - 12 0.0000 3 0.00 0.0000 1 0.00
13 1 12 - 13 0.0000 3 0.00 0.0000 1 0.00
14 1 13 - 14 0.0000 3 0.00 0.0000 1 0.00
15 1 14 - 15 0.0000 3 0.00 0.0000 1 0.00
16 1 15 - 16 0.0000 3 0.00 0.0000 1 0.00
17 1 16-17 0.0000 1 0.00 0.0000 1 0.00
18 1 17-18 0.0000 1 0.00 0.0000 1 0.00
19 1 18-19 0.0000 1 0.00 0.0000 1 0.00
20 1 19-20 0.0000 1 0.00 0.0000 1 0.00
21 1 20-21 0.0000 1 0.00 0.0000 1 0.00
22 1 21-22 0.0000 1 0.00 0.0000 1 0.00
23 1 22-23 0.0000 1 0.00 0.0000 1 0.00
24 1 23-24 0.0000 1 0.00 0.0000 1 0.00
25 1 24-25 0.0000 1 0.00 0.0000 1 0.00
26 1 25-26 0.0000 1 0.00 0.0000 1 0.00
27 1 26-27 0.0000 1 0.00 0.0000 1 0.00
28 1 27-28 0.0000 1 0.00 0.0000 1 0.00
29 1 28-29 0.0000 1 0.00 0.0000 1 0.00
30 1 29-30 0.0000 1 0.00 0.0000 1 0.00
Total Increased Cancer Risk 8.41 0.14
* Third trimester of pregnancy

580 Dubuque Ave, South San Francisco, CA - Construction Impacts - Without Mitigation Maximum DPM Cancer Risk and PM2.5 Calculations From Construction Impacts at Off-Site MEI Location - 4.5 meter receptor height Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
CPF = 1.10E+00 1.10E+00 1.10E+00 1.10E+00
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Infant/Child - Exposure Information Infant/Child Adult - Exposure Information Adult Exposure Age Cancer Modeled Age Cancer Maximum
Exposure Duration DPM Conc (ug/m3) Sensitivity Risk DPM Conc (ug/m3) Sensitivity Risk Hazard Fugitive Total Year (years) Age Year Annual Factor (per million) Year Annual Factor (per million) Index PM2.5 PM2.5 0 0.25 -0.25 - 0* 2022 0.0219 10 0.30 2022 0.0219 - -
1 1 0 - 1 2022 0.0219 10 3.60 2022 0.0219 1 0.06 0.004 0.020 0.04 2 1 1 - 2 2023 0.0122 10 2.00 2023 0.0122 1 0.03 0.002 0.000 0.01 3 1 2 - 3 2024 0.0011 3 0.03 2024 0.0011 1 0.00 0.000 0.000 0.00 4 1 3 - 4 0.0000 3 0.00 0.0000 1 0.00
5 1 4 - 5 0.0000 3 0.00 0.0000 1 0.00
6 1 5 - 6 0.0000 3 0.00 0.0000 1 0.00
7 1 6 - 7 0.0000 3 0.00 0.0000 1 0.00
8 1 7 - 8 0.0000 3 0.00 0.0000 1 0.00
9 1 8 - 9 0.0000 3 0.00 0.0000 1 0.00
10 1 9 - 10 0.0000 3 0.00 0.0000 1 0.00
11 1 10 - 11 0.0000 3 0.00 0.0000 1 0.00
12 1 11 - 12 0.0000 3 0.00 0.0000 1 0.00
13 1 12 - 13 0.0000 3 0.00 0.0000 1 0.00
14 1 13 - 14 0.0000 3 0.00 0.0000 1 0.00
15 1 14 - 15 0.0000 3 0.00 0.0000 1 0.00
16 1 15 - 16 0.0000 3 0.00 0.0000 1 0.00
17 1 16-17 0.0000 1 0.00 0.0000 1 0.00
18 1 17-18 0.0000 1 0.00 0.0000 1 0.00
19 1 18-19 0.0000 1 0.00 0.0000 1 0.00
20 1 19-20 0.0000 1 0.00 0.0000 1 0.00
21 1 20-21 0.0000 1 0.00 0.0000 1 0.00
22 1 21-22 0.0000 1 0.00 0.0000 1 0.00
23 1 22-23 0.0000 1 0.00 0.0000 1 0.00
24 1 23-24 0.0000 1 0.00 0.0000 1 0.00
25 1 24-25 0.0000 1 0.00 0.0000 1 0.00
26 1 25-26 0.0000 1 0.00 0.0000 1 0.00
27 1 26-27 0.0000 1 0.00 0.0000 1 0.00
28 1 27-28 0.0000 1 0.00 0.0000 1 0.00
29 1 28-29 0.0000 1 0.00 0.0000 1 0.00
30 1 29-30 0.0000 1 0.00 0.0000 1 0.00
Total Increased Cancer Risk 5.93 0.10
* Third trimester of pregnancy

580 Dubuque Ave, South San Francisco, CA - Construction Impacts - Without Mitigation Maximum DPM Cancer Risk and PM2.5 Calculations From Construction Impacts at Off-Site MEI Location - 1.5 meter receptor height Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
CPF = 1.10E+00 1.10E+00 1.10E+00 1.10E+00
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Infant/Child - Exposure Information Infant/Child Adult - Exposure Information Adult Exposure Age Cancer Modeled Age Cancer Maximum
Exposure Duration DPM Conc (ug/m3) Sensitivity Risk DPM Conc (ug/m3) Sensitivity Risk Hazard Fugitive Total Year (years) Age Year Annual Factor (per million) Year Annual Factor (per million) Index PM2.5 PM2.5 0 0.25 -0.25 - 0* 2022 0.0266 10 0.36 2022 0.0266 - -
1 1 0 - 1 2022 0.0266 10 4.37 2022 0.0266 1 0.08 0.01 0.025 0.05 2 1 1 - 2 2023 0.0148 10 2.42 2023 0.0148 1 0.04 0.00 0.000 0.02 3 1 2 - 3 2024 0.0013 3 0.03 2024 0.0013 1 0.00 0.00 0.000 0.00 4 1 3 - 4 0.0000 3 0.00 0.0000 1 0.00
5 1 4 - 5 0.0000 3 0.00 0.0000 1 0.00
6 1 5 - 6 0.0000 3 0.00 0.0000 1 0.00
7 1 6 - 7 0.0000 3 0.00 0.0000 1 0.00
8 1 7 - 8 0.0000 3 0.00 0.0000 1 0.00
9 1 8 - 9 0.0000 3 0.00 0.0000 1 0.00
10 1 9 - 10 0.0000 3 0.00 0.0000 1 0.00
11 1 10 - 11 0.0000 3 0.00 0.0000 1 0.00
12 1 11 - 12 0.0000 3 0.00 0.0000 1 0.00
13 1 12 - 13 0.0000 3 0.00 0.0000 1 0.00
14 1 13 - 14 0.0000 3 0.00 0.0000 1 0.00
15 1 14 - 15 0.0000 3 0.00 0.0000 1 0.00
16 1 15 - 16 0.0000 3 0.00 0.0000 1 0.00
17 1 16-17 0.0000 1 0.00 0.0000 1 0.00
18 1 17-18 0.0000 1 0.00 0.0000 1 0.00
19 1 18-19 0.0000 1 0.00 0.0000 1 0.00
20 1 19-20 0.0000 1 0.00 0.0000 1 0.00
21 1 20-21 0.0000 1 0.00 0.0000 1 0.00
22 1 21-22 0.0000 1 0.00 0.0000 1 0.00
23 1 22-23 0.0000 1 0.00 0.0000 1 0.00
24 1 23-24 0.0000 1 0.00 0.0000 1 0.00
25 1 24-25 0.0000 1 0.00 0.0000 1 0.00
26 1 25-26 0.0000 1 0.00 0.0000 1 0.00
27 1 26-27 0.0000 1 0.00 0.0000 1 0.00
28 1 27-28 0.0000 1 0.00 0.0000 1 0.00
29 1 28-29 0.0000 1 0.00 0.0000 1 0.00
30 1 29-30 0.0000 1 0.00 0.0000 1 0.00
Total Increased Cancer Risk 7.18 0.12
* Third trimester of pregnancy
Attachment 5: Community Risk Modeling Information and Calculations

580 Dubuque Ave, South San Francisco, CA
Standby Emergency Generator Impacts
Off‐site Sensitive Receptors
MEI Location = 7.6 meter receptor height
DPM Emissions per Generator
Max Daily  Annual
Source Type  (lb/day)  (lb/year)
2,800‐kW, 3,750‐hp Generator  0.124 45.40
CalEEMod DPM Emissions  2.27E‐02 tons/year
Model  AERMOD
Source  Diesel Generator Engine
Source Type  Point
Meteorological Data  2013‐2017 San Francisco International Airport Generator Engine Size (hp) 3750
Stack Height (ft) 10.00
Stack Diameter (ft)** 0.60
Exhaust Gas Flowrate (CFM)* 2527.73
Stack Exit Velocity (ft/sec)** 149.00
Exhaust Temperature (˚F)**  872.00
Emissions Rate (lb/hr) 0.005183
* AERMOD de fa ul t
**BAAQMD de fa ul t genera tor pa rame ters
DPM Emission Rates
Modeling Information
Point Source Stack Parameters

580 Dubuque Ave, South San Francisco, CA - Cancer Risks from Project Operation Project Emergency Generator
Impacts at Off-Site Receptors- 7.6m MEI Receptor Heights Impact at Project MEI (27-year Exposure)
Cancer Risk (per million) = CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
CPF = 1.10E+00 1.10E+00 1.10E+00 1.10E+00
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Infant/Child - Exposure Information Infant/Child
Exposure Age Cancer
Exposure Duration DPM Conc (ug/m3) Sensitivity Risk Hazard Fugitive Total Year (years) Age Year Annual Factor (per million) Index PM2.5 PM2.5 0 0.25 -0.25 - 0* 2022 0.0000 10 0.000
1 1 0 - 1 2022 0.0000 10 0.000
2 1 1 - 2 2023 0.0000 10 0.000
3 1 2 - 3 2024 0.0000 3 0.000
4 1 3 - 4 2025 0.0011 3 0.029 0.00023 0.0001 0.0012
5 1 4 - 5 2026 0.0011 3 0.029 0.00023 0.0001 0.0012
6 1 5 - 6 2027 0.0011 3 0.029 0.00023 0.0001 0.0012
7 1 6 - 7 2028 0.0011 3 0.029 0.00023 0.0001 0.0012
8 1 7 - 8 2029 0.0011 3 0.029 0.00023 0.0001 0.0012
9 1 8 - 9 2030 0.0011 3 0.029 0.00023 0.0001 0.0012
10 1 9 - 10 2031 0.0011 3 0.029 0.00023 0.0001 0.0012
11 1 10 - 11 2032 0.0011 3 0.029 0.00023 0.0001 0.0012
12 1 11 - 12 2033 0.0011 3 0.029 0.00023 0.0001 0.0012
13 1 12 - 13 2034 0.0011 3 0.029 0.00023 0.0001 0.0012
14 1 13 - 14 2035 0.0011 3 0.029 0.00023 0.0001 0.0012
15 1 14 - 15 2036 0.0011 3 0.029 0.00023 0.0001 0.0012
16 1 15 - 16 2037 0.0011 3 0.029 0.00023 0.0001 0.0012
17 1 16-17 2038 0.0011 1 0.003 0.00023 0.0001 0.0012
18 1 17-18 2039 0.0011 1 0.003 0.00023 0.0001 0.0012
19 1 18-19 2040 0.0011 1 0.003 0.00023 0.0001 0.0012
20 1 19-20 2041 0.0011 1 0.003 0.00023 0.0001 0.0012
21 1 20-21 2042 0.0011 1 0.003 0.00023 0.0001 0.0012
22 1 21-22 2043 0.0011 1 0.003 0.00023 0.0001 0.0012
23 1 22-23 2044 0.0011 1 0.003 0.00023 0.0001 0.0012
24 1 23-24 2045 0.0011 1 0.003 0.00023 0.0001 0.0012
25 1 24-25 2046 0.0011 1 0.003 0.00023 0.0001 0.0012
26 1 25-26 2047 0.0011 1 0.003 0.00023 0.0001 0.0012
27 1 26-27 2048 0.0011 1 0.003 0.00023 0.0001 0.0012
28 1 27-28 2049 0.0011 1 0.003 0.00023 0.0001 0.0012
29 1 28-29 2050 0.0011 1 0.003 0.00023 0.0001 0.0012
30 1 29-30 2051 0.0011 1 0.003 0.00023 0.0001 0.0012
Total Increased Cancer Risk 0.43 Max 0.00023 0.0001 0.0012 * Third trimester of pregnancy
CT-EMFAC2017 Emissions Factors

Traffic Emissions and Health Risk Calculations

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Airport Blvd
DPM Modeling - Roadway Links, Traffic Volumes, and DPM Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
DPM_NB_AIR Airport Blvd Northbound NB 2 705.7 0.44 13.3 43.7 3.4 35 13,546 DPM_SB_AIR Airport Blvd Southbound SB 2 700.1 0.44 13.3 43.7 3.4 35 13,546 Total 27,092
Emission Factors
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.00050
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and DPM Emissions - DPM_NB_AIR Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 3.85% 522 3.20E-05 9 6.74% 913 5.59E-05 17 6.40% 868 5.32E-05 2 3.18% 431 2.64E-05 10 8.25% 1117 6.84E-05 18 4.10% 555 3.40E-05 3 2.35% 318 1.95E-05 11 6.24% 845 5.18E-05 19 2.38% 323 1.98E-05 4 1.01% 136 8.34E-06 12 7.41% 1004 6.15E-05 20 1.21% 164 1.01E-05 5 1.01% 136 8.34E-06 13 6.74% 913 5.59E-05 21 3.05% 414 2.54E-05 6 2.18% 295 1.81E-05 14 6.57% 890 5.45E-05 22 5.06% 686 4.20E-05 7 4.73% 641 3.93E-05 15 5.90% 799 4.90E-05 23 3.35% 454 2.78E-05 8 3.39% 459 2.81E-05 16 4.23% 573 3.51E-05 24 0.67% 91 5.56E-06 Total 13,546
2022 Hourly Traffic Volumes Per Direction and DPM Emissions - DPM_SB_AIR Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 3.85% 522 3.17E-05 9 6.74% 913 5.55E-05 17 6.40% 868 5.27E-05 2 3.18% 431 2.62E-05 10 8.25% 1117 6.79E-05 18 4.10% 555 3.37E-05 3 2.35% 318 1.93E-05 11 6.24% 845 5.14E-05 19 2.38% 323 1.96E-05 4 1.01% 136 8.27E-06 12 7.41% 1004 6.10E-05 20 1.21% 164 9.98E-06 5 1.01% 136 8.27E-06 13 6.74% 913 5.55E-05 21 3.05% 414 2.51E-05 6 2.18% 295 1.79E-05 14 6.57% 890 5.41E-05 22 5.06% 686 4.17E-05 7 4.73% 641 3.89E-05 15 5.90% 799 4.86E-05 23 3.35% 454 2.76E-05 8 3.39% 459 2.79E-05 16 4.23% 573 3.48E-05 24 0.67% 91 5.52E-06 Total 13,546

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Airport Blvd
PM2.5 Modeling - Roadway Links, Traffic Volumes, and PM2.5 Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
PM2.5_NB_AIR Airport Blvd Northbound NB 2 705.7 0.44 13.3 44 1.3 35 13,546 PM2.5_SB_AIR Airport Blvd Southbound SB 2 700.1 0.44 13.3 44 1.3 35 13,546 Total 27,092
Emission Factors - PM2.5
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.001702
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and PM2.5 Emissions - PM2.5_NB_AIR Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 151 3.14E-05 9 7.12% 964 2.00E-04 17 7.43% 1006 2.09E-04 2 0.41% 56 1.16E-05 10 4.38% 593 1.23E-04 18 8.24% 1116 2.31E-04 3 0.38% 51 1.05E-05 11 4.65% 629 1.30E-04 19 5.72% 775 1.61E-04 4 0.17% 23 4.85E-06 12 5.89% 798 1.65E-04 20 4.30% 583 1.21E-04 5 0.45% 61 1.27E-05 13 6.17% 836 1.73E-04 21 3.26% 441 9.14E-05 6 0.85% 115 2.39E-05 14 6.05% 819 1.70E-04 22 3.31% 449 9.30E-05 7 3.73% 506 1.05E-04 15 7.05% 956 1.98E-04 23 2.49% 337 6.98E-05 8 7.77% 1052 2.18E-04 16 7.19% 974 2.02E-04 24 1.87% 254 5.26E-05 Total 13,546
2022 Hourly Traffic Volumes Per Direction and PM2.5 Emissions - PM2.5_SB_AIR Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 151 3.12E-05 9 7.12% 964 1.98E-04 17 7.43% 1006 2.07E-04 2 0.41% 56 1.15E-05 10 4.38% 593 1.22E-04 18 8.24% 1116 2.29E-04 3 0.38% 51 1.05E-05 11 4.65% 629 1.29E-04 19 5.72% 775 1.59E-04 4 0.17% 23 4.81E-06 12 5.89% 798 1.64E-04 20 4.30% 583 1.20E-04 5 0.45% 61 1.26E-05 13 6.17% 836 1.72E-04 21 3.26% 441 9.07E-05 6 0.85% 115 2.37E-05 14 6.05% 819 1.69E-04 22 3.31% 449 9.22E-05 7 3.73% 506 1.04E-04 15 7.05% 956 1.97E-04 23 2.49% 337 6.93E-05 8 7.77% 1052 2.16E-04 16 7.19% 974 2.00E-04 24 1.87% 254 5.22E-05 Total 13,546

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Airport Blvd
TOG Exhaust Modeling - Roadway Links, Traffic Volumes, and TOG Exhaust Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEXH_NB_AIR Airport Blvd Northbound NB 2 705.7 0.44 13.3 44 1.3 35 13,546 TEXH_SB_AIR
Airport Blvd
Southbound SB 2 700.1 0.44 13.3 44 1.3 35 13,546
Total 27,092
Emission Factors - TOG Exhaust
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.03831
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and TOG Exhaust Emissions - TEXH_NB_AIR Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 151 7.07E-04 9 7.12% 964 4.50E-03 17 7.43% 1006 4.70E-03 2 0.41% 56 2.62E-04 10 4.38% 593 2.77E-03 18 8.24% 1116 5.21E-03 3 0.38% 51 2.37E-04 11 4.65% 629 2.94E-03 19 5.72% 775 3.62E-03 4 0.17% 23 1.09E-04 12 5.89% 798 3.72E-03 20 4.30% 583 2.72E-03 5 0.45% 61 2.87E-04 13 6.17% 836 3.90E-03 21 3.26% 441 2.06E-03 6 0.85% 115 5.38E-04 14 6.05% 819 3.82E-03 22 3.31% 449 2.09E-03 7 3.73% 506 2.36E-03 15 7.05% 956 4.46E-03 23 2.49% 337 1.57E-03 8 7.77% 1052 4.91E-03 16 7.19% 974 4.54E-03 24 1.87% 254 1.18E-03 Total 13,546
2022 Hourly Traffic Volumes Per Direction and TOG Exhaust Emissions - TEXH_SB_AIR Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 151 7.01E-04 9 7.12% 964 4.46E-03 17 7.43% 1006 4.66E-03 2 0.41% 56 2.60E-04 10 4.38% 593 2.74E-03 18 8.24% 1116 5.16E-03 3 0.38% 51 2.36E-04 11 4.65% 629 2.91E-03 19 5.72% 775 3.59E-03 4 0.17% 23 1.08E-04 12 5.89% 798 3.69E-03 20 4.30% 583 2.70E-03 5 0.45% 61 2.84E-04 13 6.17% 836 3.87E-03 21 3.26% 441 2.04E-03 6 0.85% 115 5.33E-04 14 6.05% 819 3.79E-03 22 3.31% 449 2.08E-03 7 3.73% 506 2.34E-03 15 7.05% 956 4.42E-03 23 2.49% 337 1.56E-03 8 7.77% 1052 4.87E-03 16 7.19% 974 4.51E-03 24 1.87% 254 1.17E-03 Total 13,546

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Airport Blvd
TOG Evaporative Emissions Modeling - Roadway Links, Traffic Volumes, and TOG Evaporative Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEVAP_NB_AIR Airport Blvd Northbound NB 2 705.7 0.44 13.3 44 1.3 35 13,546 TEVAP_SB_AIR Airport Blvd Southbound SB 2 700.1 0.44 13.3 44 1.3 35 13,546 Total 27,092
Emission Factors - PM2.5 - Evaporative TOG
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle per Hour (g/hour) 1.24545
Emissions per Vehicle per Mile (g/VMT) 0.03558
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and TOG Evaporative Emissions - TEVAP_NB_AIR Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 151 6.56E-04 9 7.12% 964 4.18E-03 17 7.43% 1006 4.36E-03 2 0.41% 56 2.43E-04 10 4.38% 593 2.57E-03 18 8.24% 1116 4.84E-03 3 0.38% 51 2.21E-04 11 4.65% 629 2.73E-03 19 5.72% 775 3.36E-03 4 0.17% 23 1.01E-04 12 5.89% 798 3.46E-03 20 4.30% 583 2.53E-03 5 0.45% 61 2.66E-04 13 6.17% 836 3.62E-03 21 3.26% 441 1.91E-03 6 0.85% 115 4.99E-04 14 6.05% 819 3.55E-03 22 3.31% 449 1.94E-03 7 3.73% 506 2.19E-03 15 7.05% 956 4.14E-03 23 2.49% 337 1.46E-03 8 7.77% 1052 4.56E-03 16 7.19% 974 4.22E-03 24 1.87% 254 1.10E-03 Total 13,546
2022 Hourly Traffic Volumes Per Direction and TOG Evaporative Emissions - TEVAP_SB_AIR Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 151 6.51E-04 9 7.12% 964 4.15E-03 17 7.43% 1006 4.33E-03 2 0.41% 56 2.41E-04 10 4.38% 593 2.55E-03 18 8.24% 1116 4.80E-03 3 0.38% 51 2.19E-04 11 4.65% 629 2.71E-03 19 5.72% 775 3.33E-03 4 0.17% 23 1.01E-04 12 5.89% 798 3.43E-03 20 4.30% 583 2.51E-03 5 0.45% 61 2.64E-04 13 6.17% 836 3.60E-03 21 3.26% 441 1.90E-03 6 0.85% 115 4.95E-04 14 6.05% 819 3.52E-03 22 3.31% 449 1.93E-03 7 3.73% 506 2.18E-03 15 7.05% 956 4.11E-03 23 2.49% 337 1.45E-03 8 7.77% 1052 4.52E-03 16 7.19% 974 4.19E-03 24 1.87% 254 1.09E-03 Total 13,546

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Airport Blvd
Fugitive Road PM2.5 Modeling - Roadway Links, Traffic Volumes, and Fugitive Road PM2.5 Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
FUG_NB_AIR Airport Blvd Northbound NB 2 705.7 0.44 13.3 44 1.3 35 13,546 FUG_SB_AIR Airport Blvd Southbound SB 2 700.1 0.44 13.3 44 1.3 35 13,546 Total 27,092
Emission Factors - Fugitive PM2.5
Speed Category 1 234
Travel Speed (mph) 35
Tire Wear - Emissions per Vehicle (g/VMT) 0.00205
Brake Wear - Emissions per Vehicle (g/VMT) 0.01680
Road Dust - Emissions per Vehicle (g/VMT) 0.01482
otal Fugitive PM2.5 - Emissions per Vehicle (g/VMT) 0.03367 Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and Fugitive PM2.5 Emissions - FUG_NB_AIR Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 151 6.21E-04 9 7.12% 964 3.95E-03 17 7.43% 1006 4.13E-03 2 0.41% 56 2.30E-04 10 4.38% 593 2.43E-03 18 8.24% 1116 4.58E-03 3 0.38% 51 2.09E-04 11 4.65% 629 2.58E-03 19 5.72% 775 3.18E-03 4 0.17% 23 9.59E-05 12 5.89% 798 3.27E-03 20 4.30% 583 2.39E-03 5 0.45% 61 2.52E-04 13 6.17% 836 3.43E-03 21 3.26% 441 1.81E-03 6 0.85% 115 4.72E-04 14 6.05% 819 3.36E-03 22 3.31% 449 1.84E-03 7 3.73% 506 2.07E-03 15 7.05% 956 3.92E-03 23 2.49% 337 1.38E-03 8 7.77% 1052 4.31E-03 16 7.19% 974 3.99E-03 24 1.87% 254 1.04E-03 Total 13,546
2022 Hourly Traffic Volumes Per Direction and Fugitive PM2.5 Emissions - FUG_SB_AIR Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 151 6.16E-04 9 7.12% 964 3.92E-03 17 7.43% 1006 4.09E-03 2 0.41% 56 2.28E-04 10 4.38% 593 2.41E-03 18 8.24% 1116 4.54E-03 3 0.38% 51 2.07E-04 11 4.65% 629 2.56E-03 19 5.72% 775 3.15E-03 4 0.17% 23 9.52E-05 12 5.89% 798 3.25E-03 20 4.30% 583 2.37E-03 5 0.45% 61 2.50E-04 13 6.17% 836 3.40E-03 21 3.26% 441 1.79E-03 6 0.85% 115 4.69E-04 14 6.05% 819 3.33E-03 22 3.31% 449 1.82E-03 7 3.73% 506 2.06E-03 15 7.05% 956 3.89E-03 23 2.49% 337 1.37E-03 8 7.77% 1052 4.28E-03 16 7.19% 974 3.96E-03 24 1.87% 254 1.03E-03 Total 13,546

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Grand Avenue
DPM Modeling - Roadway Links, Traffic Volumes, and DPM Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
DPM_EB_GND Grand Avenue Eastbound EB 3 656.7 0.41 17.0 55.7 3.4 35 17,067 DPM_WB_GND Grand Avenue Westbound WB 3 665.5 0.41 17.0 55.7 3.4 35 17,067 Total 34,134
Emission Factors
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.00050
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and DPM Emissions - DPM_EB_GND Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 3.85% 658 3.75E-05 9 6.74% 1150 6.56E-05 17 6.40% 1093 6.23E-05 2 3.18% 543 3.10E-05 10 8.25% 1408 8.02E-05 18 4.10% 700 3.99E-05 3 2.35% 400 2.28E-05 11 6.24% 1064 6.07E-05 19 2.38% 407 2.32E-05 4 1.01% 172 9.78E-06 12 7.41% 1265 7.21E-05 20 1.21% 207 1.18E-05 5 1.01% 172 9.78E-06 13 6.74% 1150 6.56E-05 21 3.05% 521 2.97E-05 6 2.18% 372 2.12E-05 14 6.57% 1122 6.40E-05 22 5.06% 864 4.93E-05 7 4.73% 807 4.60E-05 15 5.90% 1007 5.74E-05 23 3.35% 572 3.26E-05 8 3.39% 578 3.30E-05 16 4.23% 721 4.11E-05 24 0.67% 114 6.52E-06 Total 17,067
2022 Hourly Traffic Volumes Per Direction and DPM Emissions - DPM_WB_GND Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 3.85% 658 3.80E-05 9 6.74% 1150 6.65E-05 17 6.40% 1093 6.32E-05 2 3.18% 543 3.14E-05 10 8.25% 1408 8.13E-05 18 4.10% 700 4.04E-05 3 2.35% 400 2.31E-05 11 6.24% 1064 6.15E-05 19 2.38% 407 2.35E-05 4 1.01% 172 9.91E-06 12 7.41% 1265 7.31E-05 20 1.21% 207 1.20E-05 5 1.01% 172 9.91E-06 13 6.74% 1150 6.65E-05 21 3.05% 521 3.01E-05 6 2.18% 372 2.15E-05 14 6.57% 1122 6.48E-05 22 5.06% 864 4.99E-05 7 4.73% 807 4.66E-05 15 5.90% 1007 5.82E-05 23 3.35% 572 3.30E-05 8 3.39% 578 3.34E-05 16 4.23% 721 4.17E-05 24 0.67% 114 6.61E-06 Total 17,067

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Grand Avenue
PM2.5 Modeling - Roadway Links, Traffic Volumes, and PM2.5 Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
PM2.5_EB_GND Grand Avenue Eastbound EB 3 656.7 0.41 17.0 56 1.3 35 17,067 PM2.5_WB_GND Grand Avenue Westbound WB 3 665.5 0.41 17.0 56 1.3 35 17,067 Total 34,134
Emission Factors - PM2.5
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.001702
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and PM2.5 Emissions - PM2.5_EB_GND Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 191 3.68E-05 9 7.12% 1215 2.34E-04 17 7.43% 1268 2.45E-04 2 0.41% 71 1.36E-05 10 4.38% 747 1.44E-04 18 8.24% 1406 2.71E-04 3 0.38% 64 1.24E-05 11 4.65% 793 1.53E-04 19 5.72% 977 1.88E-04 4 0.17% 29 5.69E-06 12 5.89% 1005 1.94E-04 20 4.30% 735 1.42E-04 5 0.45% 77 1.49E-05 13 6.17% 1054 2.03E-04 21 3.26% 556 1.07E-04 6 0.85% 145 2.80E-05 14 6.05% 1032 1.99E-04 22 3.31% 565 1.09E-04 7 3.73% 637 1.23E-04 15 7.05% 1204 2.32E-04 23 2.49% 424 8.19E-05 8 7.77% 1325 2.56E-04 16 7.19% 1227 2.37E-04 24 1.87% 320 6.17E-05 Total 17,067
2022 Hourly Traffic Volumes Per Direction and PM2.5 Emissions - PM2.5_WB_GND Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 191 3.73E-05 9 7.12% 1215 2.38E-04 17 7.43% 1268 2.48E-04 2 0.41% 71 1.38E-05 10 4.38% 747 1.46E-04 18 8.24% 1406 2.75E-04 3 0.38% 64 1.25E-05 11 4.65% 793 1.55E-04 19 5.72% 977 1.91E-04 4 0.17% 29 5.76E-06 12 5.89% 1005 1.96E-04 20 4.30% 735 1.44E-04 5 0.45% 77 1.51E-05 13 6.17% 1054 2.06E-04 21 3.26% 556 1.09E-04 6 0.85% 145 2.84E-05 14 6.05% 1032 2.02E-04 22 3.31% 565 1.10E-04 7 3.73% 637 1.25E-04 15 7.05% 1204 2.35E-04 23 2.49% 424 8.30E-05 8 7.77% 1325 2.59E-04 16 7.19% 1227 2.40E-04 24 1.87% 320 6.25E-05 Total 17,067

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Grand Avenue
TOG Exhaust Modeling - Roadway Links, Traffic Volumes, and TOG Exhaust Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEXH_EB_GND
Grand Avenue
Eastbound EB 3 656.7 0.41 17.0 56 1.3 35 17,067
TEXH_WB_GND
Grand Avenue
Westbound WB 3 665.5 0.41 17.0 56 1.3 35 17,067
Total 34,134
Emission Factors - TOG Exhaust
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle (g/VMT) 0.03831
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and TOG Exhaust Emissions - TEXH_EB_GND Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 191 8.29E-04 9 7.12% 1215 5.28E-03 17 7.43% 1268 5.51E-03 2 0.41% 71 3.07E-04 10 4.38% 747 3.24E-03 18 8.24% 1406 6.10E-03 3 0.38% 64 2.78E-04 11 4.65% 793 3.44E-03 19 5.72% 977 4.24E-03 4 0.17% 29 1.28E-04 12 5.89% 1005 4.36E-03 20 4.30% 735 3.19E-03 5 0.45% 77 3.36E-04 13 6.17% 1054 4.57E-03 21 3.26% 556 2.41E-03 6 0.85% 145 6.30E-04 14 6.05% 1032 4.48E-03 22 3.31% 565 2.45E-03 7 3.73% 637 2.77E-03 15 7.05% 1204 5.23E-03 23 2.49% 424 1.84E-03 8 7.77% 1325 5.76E-03 16 7.19% 1227 5.33E-03 24 1.87% 320 1.39E-03 Total 17,067
2022 Hourly Traffic Volumes Per Direction and TOG Exhaust Emissions - TEXH_WB_GND Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 191 8.40E-04 9 7.12% 1215 5.35E-03 17 7.43% 1268 5.58E-03 2 0.41% 71 3.11E-04 10 4.38% 747 3.29E-03 18 8.24% 1406 6.19E-03 3 0.38% 64 2.82E-04 11 4.65% 793 3.49E-03 19 5.72% 977 4.30E-03 4 0.17% 29 1.30E-04 12 5.89% 1005 4.42E-03 20 4.30% 735 3.23E-03 5 0.45% 77 3.40E-04 13 6.17% 1054 4.64E-03 21 3.26% 556 2.44E-03 6 0.85% 145 6.39E-04 14 6.05% 1032 4.54E-03 22 3.31% 565 2.49E-03 7 3.73% 637 2.80E-03 15 7.05% 1204 5.30E-03 23 2.49% 424 1.87E-03 8 7.77% 1325 5.83E-03 16 7.19% 1227 5.40E-03 24 1.87% 320 1.41E-03 Total 17,067

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Grand Avenue
TOG Evaporative Emissions Modeling - Roadway Links, Traffic Volumes, and TOG Evaporative Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEVAP_EB_GND Grand Avenue Eastbound EB 3 656.7 0.41 17.0 56 1.3 35 17,067 TEVAP_WB_GND Grand Avenue Westbound WB 3 665.5 0.41 17.0 56 1.3 35 17,067 Total 34,134
Emission Factors - PM2.5 - Evaporative TOG
Speed Category 1 234
Travel Speed (mph) 35
Emissions per Vehicle per Hour (g/hour) 1.24545
Emissions per Vehicle per Mile (g/VMT) 0.03558
Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and TOG Evaporative Emissions - TEVAP_EB_GND Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 191 7.70E-04 9 7.12% 1215 4.90E-03 17 7.43% 1268 5.11E-03 2 0.41% 71 2.85E-04 10 4.38% 747 3.01E-03 18 8.24% 1406 5.67E-03 3 0.38% 64 2.59E-04 11 4.65% 793 3.20E-03 19 5.72% 977 3.94E-03 4 0.17% 29 1.19E-04 12 5.89% 1005 4.05E-03 20 4.30% 735 2.96E-03 5 0.45% 77 3.12E-04 13 6.17% 1054 4.25E-03 21 3.26% 556 2.24E-03 6 0.85% 145 5.85E-04 14 6.05% 1032 4.16E-03 22 3.31% 565 2.28E-03 7 3.73% 637 2.57E-03 15 7.05% 1204 4.86E-03 23 2.49% 424 1.71E-03 8 7.77% 1325 5.35E-03 16 7.19% 1227 4.95E-03 24 1.87% 320 1.29E-03 Total 17,067
2022 Hourly Traffic Volumes Per Direction and TOG Evaporative Emissions - TEVAP_WB_GND Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 191 7.80E-04 9 7.12% 1215 4.97E-03 17 7.43% 1268 5.18E-03 2 0.41% 71 2.89E-04 10 4.38% 747 3.05E-03 18 8.24% 1406 5.75E-03 3 0.38% 64 2.62E-04 11 4.65% 793 3.24E-03 19 5.72% 977 3.99E-03 4 0.17% 29 1.20E-04 12 5.89% 1005 4.11E-03 20 4.30% 735 3.00E-03 5 0.45% 77 3.16E-04 13 6.17% 1054 4.31E-03 21 3.26% 556 2.27E-03 6 0.85% 145 5.93E-04 14 6.05% 1032 4.22E-03 22 3.31% 565 2.31E-03 7 3.73% 637 2.61E-03 15 7.05% 1204 4.92E-03 23 2.49% 424 1.73E-03 8 7.77% 1325 5.42E-03 16 7.19% 1227 5.01E-03 24 1.87% 320 1.31E-03 Total 17,067

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Cumulative Operation - Grand Avenue
Fugitive Road PM2.5 Modeling - Roadway Links, Traffic Volumes, and Fugitive Road PM2.5 Emissions Year = 2022
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
FUG_EB_GND Grand Avenue Eastbound EB 3 656.7 0.41 17.0 56 1.3 35 17,067 FUG_WB_GND Grand Avenue Westbound WB 3 665.5 0.41 17.0 56 1.3 35 17,067 Total 34,134
Emission Factors - Fugitive PM2.5
Speed Category 1 234
Travel Speed (mph) 35
Tire Wear - Emissions per Vehicle (g/VMT) 0.00205
Brake Wear - Emissions per Vehicle (g/VMT) 0.01680
Road Dust - Emissions per Vehicle (g/VMT) 0.01482
otal Fugitive PM2.5 - Emissions per Vehicle (g/VMT) 0.03367 Emisson Factors from CT-EMFAC2017
2022 Hourly Traffic Volumes and Fugitive PM2.5 Emissions - FUG_EB_GND Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 191 7.28E-04 9 7.12% 1215 4.64E-03 17 7.43% 1268 4.84E-03 2 0.41% 71 2.70E-04 10 4.38% 747 2.85E-03 18 8.24% 1406 5.36E-03 3 0.38% 64 2.45E-04 11 4.65% 793 3.03E-03 19 5.72% 977 3.73E-03 4 0.17% 29 1.12E-04 12 5.89% 1005 3.84E-03 20 4.30% 735 2.80E-03 5 0.45% 77 2.95E-04 13 6.17% 1054 4.02E-03 21 3.26% 556 2.12E-03 6 0.85% 145 5.54E-04 14 6.05% 1032 3.94E-03 22 3.31% 565 2.16E-03 7 3.73% 637 2.43E-03 15 7.05% 1204 4.59E-03 23 2.49% 424 1.62E-03 8 7.77% 1325 5.06E-03 16 7.19% 1227 4.68E-03 24 1.87% 320 1.22E-03 Total 17,067
2022 Hourly Traffic Volumes Per Direction and Fugitive PM2.5 Emissions - FUG_WB_GND Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 191 7.38E-04 9 7.12% 1215 4.70E-03 17 7.43% 1268 4.90E-03 2 0.41% 71 2.74E-04 10 4.38% 747 2.89E-03 18 8.24% 1406 5.44E-03 3 0.38% 64 2.48E-04 11 4.65% 793 3.07E-03 19 5.72% 977 3.78E-03 4 0.17% 29 1.14E-04 12 5.89% 1005 3.89E-03 20 4.30% 735 2.84E-03 5 0.45% 77 2.99E-04 13 6.17% 1054 4.07E-03 21 3.26% 556 2.15E-03 6 0.85% 145 5.61E-04 14 6.05% 1032 3.99E-03 22 3.31% 565 2.19E-03 7 3.73% 637 2.46E-03 15 7.05% 1204 4.66E-03 23 2.49% 424 1.64E-03 8 7.77% 1325 5.13E-03 16 7.19% 1227 4.74E-03 24 1.87% 320 1.24E-03 Total 17,067

580 Dubuque Ave, South San Francisco, CA - Airport Blvd Traffic - TACs & PM2.5 AERMOD Risk Modeling Parameters and Maximum Concentrations at Construction Residential MEI Receptors (1 Location - 7.6 meter receptor height) Emission Year 2022
Receptor Information Construction Residential MEI receptor Number of Receptors 1
Receptor Height 7.6 Meters
Receptor Distances At Construction Residential MEI locations Meteorological Conditions
BAAQMD San Francisco International Airport M 2013-2017
Land Use Classification Urban
Wind Speed Variable
Wind Direction Variable
Construction Residential MEI Cancer Risk Maximum Concentrations Meteorological
Data Years DPM Exhaust TOG Evaporative TOG
2013-2017 0.0017 0.0917 0.0854
Construction Residential MEI PM2.5 Maximum Concentrations Meteorological
Data Years Total PM2.5 Fugitive PM2.5 Vehicle PM2.5
2013-2017 0.0847 0.0806 0.0041
Concentration (μg/m3)*
PM2.5 Concentration (μg/m3)*

580 Dubuque Ave, South San Francisco, CA - Grand Avenue Traffic - TACs & PM2.5 AERMOD Risk Modeling Parameters and Maximum Concentrations at Construction Residential MEI Receptors (1 Location - 7.6 meter receptor height) Emission Year 2022
Receptor Information Construction Residential MEI receptor Number of Receptors 1
Receptor Height 7.6 Meters
Receptor Distances At Construction Residential MEI locations Meteorological Conditions
BAAQMD San Francisco International Airport M 2013-2017
Land Use Classification Urban
Wind Speed Variable
Wind Direction Variable
Construction Residential MEI Cancer Risk Maximum Concentrations Meteorological
Data Years DPM Exhaust TOG Evaporative TOG
2013-2017 0.0006 0.0429 0.0399
Construction Residential MEI PM2.5 Maximum Concentrations Meteorological
Data Years Total PM2.5 Fugitive PM2.5 Vehicle PM2.5
2013-2017 0.0396 0.0377 0.0019
Concentration (μg/m3)*
PM2.5 Concentration (μg/m3)*

580 Dubuque Ave, South San Francisco, CA - Airport Blvd Traffic Cancer Risk Impacts at Construction Residential MEI - 7.6 meter receptor height 30 Year Residential Exposure
Cancer Risk Calculation Method
Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Cancer Potency Factors (mg/kg-day)-1
CPF

1.10E+00
Vehicle TOG Exhaust 6.28E-03
Vehicle TOG Evaporative 3.70E-04
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Exposure
Exposure Duration DPM
Exhaust
TOG
Evaporative

TOG DPM
Year (years) Age
0 0.25 -0.25 - 0* 10 0.0017 0.0917 0.0854 0.023 0.007 0.0004 0.03 Hazard
Index
Fugitive
PM2.5
Total
PM2.5
1 1 0 - 1 10 0.0017 0.0917 0.0854 0.274 0.086 0.0047 0.36 0.0003 0.08 0.08 2 1 1 - 2 10 0.0017 0.0917 0.0854 0.274 0.086 0.0047 0.36 3 1 2 - 3 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 4 1 3 - 4 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 5 1 4 - 5 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 6 1 5 - 6 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 7 1 6 - 7 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 8 1 7 - 8 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 9 1 8 - 9 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 10 1 9 - 10 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 11 1 10 - 11 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 12 1 11 - 12 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 13 1 12 - 13 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 14 1 13 - 14 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 15 1 14 - 15 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 16 1 15 - 16 3 0.0017 0.0917 0.0854 0.043 0.014 0.0007 0.06 17 1 16-17 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 18 1 17-18 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 19 1 18-19 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 20 1 19-20 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 21 1 20-21 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 22 1 21-22 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 23 1 22-23 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 24 1 23-24 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 25 1 24-25 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 26 1 25-26 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 27 1 26-27 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 28 1 27-28 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 29 1 28-29 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 30 1 29-30 1 0.0017 0.0917 0.0854 0.005 0.002 0.0001 0.01 Total Increased Cancer Risk 1.24 0.389 0.021 1.65
* Third trimester of pregnancy
2026
2027
2028
2029
TAC
DPM
Maximum - Exposure Information
2025
Maximum
2022
2022
2023
2024
TOTAL
Year
Age
Sensitivity
Factor
Exhaust
TOG
Evaporative
TOG
Concentration (ug/m3) Cancer Risk (per million)
2030
2043
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2031
2050
2051
2044
2045
2046
2047
2048
2049

580 Dubuque Ave, South San Francisco, CA - Grand Avenue Traffic Cancer Risk Impacts at Construction Residential MEI - 7.6 meter receptor height 30 Year Residential Exposure
Cancer Risk Calculation Method
Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Cancer Potency Factors (mg/kg-day)-1
CPF

1.10E+00
Vehicle TOG Exhaust 6.28E-03
Vehicle TOG Evaporative 3.70E-04
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Exposure
Exposure Duration DPM
Exhaust
TOG
Evaporative

TOG DPM
Year (years) Age
0 0.25 -0.25 - 0* 10 0.0006 0.0429 0.0399 0.008 0.003 0.0002 0.01 Hazard
Index
Fugitive
PM2.5
Total
PM2.5
1 1 0 - 1 10 0.0006 0.0429 0.0399 0.095 0.040 0.0022 0.14 0.0001 0.04 0.04 2 1 1 - 2 10 0.0006 0.0429 0.0399 0.095 0.040 0.0022 0.14 3 1 2 - 3 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 4 1 3 - 4 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 5 1 4 - 5 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 6 1 5 - 6 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 7 1 6 - 7 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 8 1 7 - 8 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 9 1 8 - 9 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 10 1 9 - 10 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 11 1 10 - 11 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 12 1 11 - 12 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 13 1 12 - 13 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 14 1 13 - 14 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 15 1 14 - 15 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 16 1 15 - 16 3 0.0006 0.0429 0.0399 0.015 0.006 0.0003 0.02 17 1 16-17 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 18 1 17-18 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 19 1 18-19 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 20 1 19-20 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 21 1 20-21 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 22 1 21-22 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 23 1 22-23 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 24 1 23-24 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 25 1 24-25 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 26 1 25-26 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 27 1 26-27 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 28 1 27-28 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 29 1 28-29 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 30 1 29-30 1 0.0006 0.0429 0.0399 0.002 0.001 0.0000 0.00 Total Increased Cancer Risk 0.43 0.182 0.010 0.62
* Third trimester of pregnancy
2050
2051
2044
2045
2046
2047
2048
2049
2030
2043
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2031
Maximum
2022
2022
2023
2024
2025
TOTAL
Year
Age
Sensitivity
Factor
Exhaust
TOG
Evaporative
TOG
2026
2027
2028
2029
TAC
DPM
Maximum - Exposure Information Concentration (ug/m3) Cancer Risk (per million)

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Project Trips - Dubuque Ave
DPM Modeling - Roadway Links, Traffic Volumes, and DPM Emissions Year = 2025
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
DPM_NB_DBQ
Dubuque Avenue
Northbound NB 1 207.7 0.13 9.7 31.7 3.4 30 2,159
DPM_SB_DBQ
Dubuque Avenue
Southbound SB 1 216.5 0.13 9.7 31.7 3.4 30 2,159
Total 4,318
Emission Factors
Speed Category 1 234
Travel Speed (mph) 30
Emissions per Vehicle (g/VMT) 0.00024
Emisson Factors from CT-EMFAC2017
2025 Hourly Traffic Volumes and DPM Emissions - DPM_NB_DBQ Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 3.85% 83 7.13E-07 9 6.74% 146 1.25E-06 17 6.40% 138 1.18E-06 2 3.18% 69 5.89E-07 10 8.25% 178 1.53E-06 18 4.10% 88 7.58E-07 3 2.35% 51 4.34E-07 11 6.24% 135 1.15E-06 19 2.38% 51 4.41E-07 4 1.01% 22 1.86E-07 12 7.41% 160 1.37E-06 20 1.21% 26 2.24E-07 5 1.01% 22 1.86E-07 13 6.74% 146 1.25E-06 21 3.05% 66 5.65E-07 6 2.18% 47 4.03E-07 14 6.57% 142 1.22E-06 22 5.06% 109 9.37E-07 7 4.73% 102 8.75E-07 15 5.90% 127 1.09E-06 23 3.35% 72 6.20E-07 8 3.39% 73 6.27E-07 16 4.23% 91 7.82E-07 24 0.67% 14 1.24E-07 Total 2,159
2025 Hourly Traffic Volumes Per Direction and DPM Emissions - DPM_SB_DBQ Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 3.85% 83 7.43E-07 9 6.74% 146 1.30E-06 17 6.40% 138 1.23E-06 2 3.18% 69 6.14E-07 10 8.25% 178 1.59E-06 18 4.10% 88 7.90E-07 3 2.35% 51 4.52E-07 11 6.24% 135 1.20E-06 19 2.38% 51 4.60E-07 4 1.01% 22 1.94E-07 12 7.41% 160 1.43E-06 20 1.21% 26 2.34E-07 5 1.01% 22 1.94E-07 13 6.74% 146 1.30E-06 21 3.05% 66 5.89E-07 6 2.18% 47 4.20E-07 14 6.57% 142 1.27E-06 22 5.06% 109 9.77E-07 7 4.73% 102 9.12E-07 15 5.90% 127 1.14E-06 23 3.35% 72 6.46E-07 8 3.39% 73 6.54E-07 16 4.23% 91 8.15E-07 24 0.67% 14 1.29E-07 Total 2,159

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Project Trips - Dubuque Ave
PM2.5 Modeling - Roadway Links, Traffic Volumes, and PM2.5 Emissions Year = 2025
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
PM2.5_NB_DBQ
Dubuque Avenue
Northbound NB 1 207.7 0.13 9.7 32 1.3 30 2,159
PM2.5_SB_DBQ
Dubuque Avenue
Southbound SB 1 216.5 0.13 9.7 32 1.3 30 2,159
Total 4,318
Emission Factors - PM2.5
Speed Category 1 234
Travel Speed (mph) 30
Emissions per Vehicle (g/VMT) 0.001533
Emisson Factors from CT-EMFAC2017
2025 Hourly Traffic Volumes and PM2.5 Emissions - PM2.5_NB_DBQ Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 24 1.33E-06 9 7.12% 154 8.45E-06 17 7.43% 160 8.82E-06 2 0.41% 9 4.92E-07 10 4.38% 95 5.19E-06 18 8.24% 178 9.77E-06 3 0.38% 8 4.46E-07 11 4.65% 100 5.51E-06 19 5.72% 124 6.79E-06 4 0.17% 4 2.05E-07 12 5.89% 127 6.99E-06 20 4.30% 93 5.11E-06 5 0.45% 10 5.38E-07 13 6.17% 133 7.32E-06 21 3.26% 70 3.86E-06 6 0.85% 18 1.01E-06 14 6.05% 131 7.18E-06 22 3.31% 71 3.93E-06 7 3.73% 81 4.43E-06 15 7.05% 152 8.37E-06 23 2.49% 54 2.95E-06 8 7.77% 168 9.22E-06 16 7.19% 155 8.53E-06 24 1.87% 40 2.22E-06 Total 2,159
2025 Hourly Traffic Volumes Per Direction and PM2.5 Emissions - PM2.5_SB_DBQ Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 24 1.38E-06 9 7.12% 154 8.80E-06 17 7.43% 160 9.19E-06 2 0.41% 9 5.13E-07 10 4.38% 95 5.41E-06 18 8.24% 178 1.02E-05 3 0.38% 8 4.65E-07 11 4.65% 100 5.75E-06 19 5.72% 124 7.08E-06 4 0.17% 4 2.14E-07 12 5.89% 127 7.28E-06 20 4.30% 93 5.32E-06 5 0.45% 10 5.61E-07 13 6.17% 133 7.64E-06 21 3.26% 70 4.03E-06 6 0.85% 18 1.05E-06 14 6.05% 131 7.48E-06 22 3.31% 71 4.10E-06 7 3.73% 81 4.62E-06 15 7.05% 152 8.72E-06 23 2.49% 54 3.08E-06 8 7.77% 168 9.61E-06 16 7.19% 155 8.89E-06 24 1.87% 40 2.32E-06 Total 2,159

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Project Trips - Dubuque Ave
TOG Exhaust Modeling - Roadway Links, Traffic Volumes, and TOG Exhaust Emissions Year = 2025
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEXH_NB_DBQ
Dubuque Avenue
Northbound NB 1 207.7 0.13 9.7 32 1.3 30 2,159
TEXH_SB_DBQ
Dubuque Avenue
Southbound SB 1 216.5 0.13 9.7 32 1.3 30 2,159
Total 4,318
Emission Factors - TOG Exhaust
Speed Category 1 234
Travel Speed (mph) 30
Emissions per Vehicle (g/VMT) 0.04138
Emisson Factors from CT-EMFAC2017
2025 Hourly Traffic Volumes and TOG Exhaust Emissions - TEXH_NB_DBQ Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 24 3.58E-05 9 7.12% 154 2.28E-04 17 7.43% 160 2.38E-04 2 0.41% 9 1.33E-05 10 4.38% 95 1.40E-04 18 8.24% 178 2.64E-04 3 0.38% 8 1.20E-05 11 4.65% 100 1.49E-04 19 5.72% 124 1.83E-04 4 0.17% 4 5.53E-06 12 5.89% 127 1.89E-04 20 4.30% 93 1.38E-04 5 0.45% 10 1.45E-05 13 6.17% 133 1.98E-04 21 3.26% 70 1.04E-04 6 0.85% 18 2.72E-05 14 6.05% 131 1.94E-04 22 3.31% 71 1.06E-04 7 3.73% 81 1.20E-04 15 7.05% 152 2.26E-04 23 2.49% 54 7.96E-05 8 7.77% 168 2.49E-04 16 7.19% 155 2.30E-04 24 1.87% 40 6.00E-05 Total 2,159
2025 Hourly Traffic Volumes Per Direction and TOG Exhaust Emissions - TEXH_SB_DBQ Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 24 3.73E-05 9 7.12% 154 2.38E-04 17 7.43% 160 2.48E-04 2 0.41% 9 1.38E-05 10 4.38% 95 1.46E-04 18 8.24% 178 2.75E-04 3 0.38% 8 1.25E-05 11 4.65% 100 1.55E-04 19 5.72% 124 1.91E-04 4 0.17% 4 5.76E-06 12 5.89% 127 1.97E-04 20 4.30% 93 1.44E-04 5 0.45% 10 1.51E-05 13 6.17% 133 2.06E-04 21 3.26% 70 1.09E-04 6 0.85% 18 2.84E-05 14 6.05% 131 2.02E-04 22 3.31% 71 1.11E-04 7 3.73% 81 1.25E-04 15 7.05% 152 2.35E-04 23 2.49% 54 8.30E-05 8 7.77% 168 2.59E-04 16 7.19% 155 2.40E-04 24 1.87% 40 6.25E-05 Total 2,159

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Project Trips - Dubuque Ave
TOG Evaporative Emissions Modeling - Roadway Links, Traffic Volumes, and TOG Evaporative Emissions Year = 2025
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
TEVAP_NB_DBQ
Dubuque Avenue
Northbound NB 1 207.7 0.13 9.7 32 1.3 30 2,159
TEVAP_SB_DBQ
Dubuque Avenue
Southbound SB 1 216.5 0.13 9.7 32 1.3 30 2,159
Total 4,318
Emission Factors - PM2.5 - Evaporative TOG
Speed Category 1 234
Travel Speed (mph) 30
Emissions per Vehicle per Hour (g/hour) 1.11204
Emissions per Vehicle per Mile (g/VMT) 0.03707
Emisson Factors from CT-EMFAC2017
2025 Hourly Traffic Volumes and TOG Evaporative Emissions - TEVAP_NB_DBQ Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 24 3.21E-05 9 7.12% 154 2.04E-04 17 7.43% 160 2.13E-04 2 0.41% 9 1.19E-05 10 4.38% 95 1.26E-04 18 8.24% 178 2.36E-04 3 0.38% 8 1.08E-05 11 4.65% 100 1.33E-04 19 5.72% 124 1.64E-04 4 0.17% 4 4.95E-06 12 5.89% 127 1.69E-04 20 4.30% 93 1.23E-04 5 0.45% 10 1.30E-05 13 6.17% 133 1.77E-04 21 3.26% 70 9.34E-05 6 0.85% 18 2.44E-05 14 6.05% 131 1.74E-04 22 3.31% 71 9.50E-05 7 3.73% 81 1.07E-04 15 7.05% 152 2.02E-04 23 2.49% 54 7.13E-05 8 7.77% 168 2.23E-04 16 7.19% 155 2.06E-04 24 1.87% 40 5.38E-05 Total 2,159
2025 Hourly Traffic Volumes Per Direction and TOG Evaporative Emissions - TEVAP_SB_DBQ Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 24 3.34E-05 9 7.12% 154 2.13E-04 17 7.43% 160 2.22E-04 2 0.41% 9 1.24E-05 10 4.38% 95 1.31E-04 18 8.24% 178 2.46E-04 3 0.38% 8 1.12E-05 11 4.65% 100 1.39E-04 19 5.72% 124 1.71E-04 4 0.17% 4 5.16E-06 12 5.89% 127 1.76E-04 20 4.30% 93 1.29E-04 5 0.45% 10 1.36E-05 13 6.17% 133 1.85E-04 21 3.26% 70 9.73E-05 6 0.85% 18 2.54E-05 14 6.05% 131 1.81E-04 22 3.31% 71 9.90E-05 7 3.73% 81 1.12E-04 15 7.05% 152 2.11E-04 23 2.49% 54 7.44E-05 8 7.77% 168 2.32E-04 16 7.19% 155 2.15E-04 24 1.87% 40 5.60E-05 Total 2,159

580 Dubuque Ave, South San Francisco, CA - Off-Site Residential Project Trips - Dubuque Ave
Fugitive Road PM2.5 Modeling - Roadway Links, Traffic Volumes, and Fugitive Road PM2.5 Emissions Year = 2025
Road Link Description Direction
No.

Lanes
Link
Length
(m)
Link
Length
(mi)
Link
Width
(m)
Link
Width
(ft)
Release
Height
( m)
Average
Speed
(mph)
Average
Vehicles
per Day
FUG_NB_DBQ
Dubuque Avenue
Northbound NB 1 207.7 0.13 9.7 32 1.3 30 2,159
FUG_SB_DBQ
Dubuque Avenue
Southbound SB 1 216.5 0.13 9.7 32 1.3 30 2,159
Total 4,318
Emission Factors - Fugitive PM2.5
Speed Category 1 234
Travel Speed (mph) 30
Tire Wear - Emissions per Vehicle (g/VMT) 0.00205
Brake Wear - Emissions per Vehicle (g/VMT) 0.01681
Road Dust - Emissions per Vehicle (g/VMT) 0.01496
otal Fugitive PM2.5 - Emissions per Vehicle (g/VMT) 0.03382 Emisson Factors from CT-EMFAC2017
2025 Hourly Traffic Volumes and Fugitive PM2.5 Emissions - FUG_NB_DBQ Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s Hour
% Per
Hour VPH g/s
1 1.12% 24 2.93E-05 9 7.12% 154 1.86E-04 17 7.43% 160 1.94E-04 2 0.41% 9 1.08E-05 10 4.38% 95 1.15E-04 18 8.24% 178 2.16E-04 3 0.38% 8 9.83E-06 11 4.65% 100 1.22E-04 19 5.72% 124 1.50E-04 4 0.17% 4 4.52E-06 12 5.89% 127 1.54E-04 20 4.30% 93 1.13E-04 5 0.45% 10 1.19E-05 13 6.17% 133 1.62E-04 21 3.26% 70 8.52E-05 6 0.85% 18 2.23E-05 14 6.05% 131 1.58E-04 22 3.31% 71 8.67E-05 7 3.73% 81 9.77E-05 15 7.05% 152 1.85E-04 23 2.49% 54 6.51E-05 8 7.77% 168 2.03E-04 16 7.19% 155 1.88E-04 24 1.87% 40 4.90E-05 Total 2,159
2025 Hourly Traffic Volumes Per Direction and Fugitive PM2.5 Emissions - FUG_SB_DBQ Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile Hour
% Per
Hour VPH g/mile
1 1.12% 24 3.05E-05 9 7.12% 154 1.94E-04 17 7.43% 160 2.03E-04 2 0.41% 9 1.13E-05 10 4.38% 95 1.19E-04 18 8.24% 178 2.25E-04 3 0.38% 8 1.02E-05 11 4.65% 100 1.27E-04 19 5.72% 124 1.56E-04 4 0.17% 4 4.71E-06 12 5.89% 127 1.61E-04 20 4.30% 93 1.17E-04 5 0.45% 10 1.24E-05 13 6.17% 133 1.68E-04 21 3.26% 70 8.88E-05 6 0.85% 18 2.32E-05 14 6.05% 131 1.65E-04 22 3.31% 71 9.03E-05 7 3.73% 81 1.02E-04 15 7.05% 152 1.92E-04 23 2.49% 54 6.78E-05 8 7.77% 168 2.12E-04 16 7.19% 155 1.96E-04 24 1.87% 40 5.11E-05 Total 2,159

580 Dubuque Ave, South San Francisco, CA - Dubuque Avenue Traffic - TACs & PM2.5 - Project Trips AERMOD Risk Modeling Parameters and Maximum Concentrations at Construction Residential MEI Receptors (1 Location - 7.6 meter receptor height) Emission Year 2025
Receptor Information Construction Residential MEI receptor Number of Receptors 1
Receptor Height 7.6 Meters
Receptor Distances At Construction Residential MEI locations Meteorological Conditions
BAAQMD San Francisco International Airport M 2013-2017
Land Use Classification Urban
Wind Speed Variable
Wind Direction Variable
Construction Residential MEI Cancer Risk Maximum Concentrations Meteorological
Data Years DPM Exhaust TOG Evaporative TOG
2013-2017 0.0000 0.0045 0.0041
Construction Residential MEI PM2.5 Maximum Concentrations Meteorological
Data Years Total PM2.5 Fugitive PM2.5 Vehicle PM2.5
2013-2017 0.0039 0.0037 0.0002
Concentration (μg/m3)*
PM2.5 Concentration (μg/m3)*

580 Dubuque Ave, South San Francisco, CA - Grand Avenue Traffic Cancer Risk - Project Trips Impacts at Construction Residential MEI - 7.6 meter receptor height 30 Year Residential Exposure
Cancer Risk Calculation Method
Cancer Risk (per million) =CPF x Inhalation Dose x ASF x ED/AT x FAH x 1.0E6 Where: CPF = Cancer potency factor (mg/kg-day)-1
ASF = Age sensitivity factor for specified age group
ED = Exposure duration (years)
AT = Averaging time for lifetime cancer risk (years)
FAH = Fraction of time spent at home (unitless)
Inhalation Dose = Cair x DBR x A x (EF/365) x 10-6
Where: Cair = concentration in air (μg/m3)
DBR = daily breathing rate (L/kg body weight-day)
A = Inhalation absorption factor
EF = Exposure frequency (days/year)
10-6 = Conversion factor
Cancer Potency Factors (mg/kg-day)-1
CPF

1.10E+00
Vehicle TOG Exhaust 6.28E-03
Vehicle TOG Evaporative 3.70E-04
Values
Infant/Child Adult
Age --> 3rd Trimester 0 - 2 2 - 16 16 - 30
Parameter
ASF = 10 10 3 1
DBR* = 361 1090 572 261
A = 1 1 1 1
EF = 350 350 350 350
AT = 70 70 70 70
FAH = 1.00 1.00 1.00 0.73
* 95th percentile breathing rates for infants and 80th percentile for children and adults Construction Cancer Risk by Year - Maximum Impact Receptor Location Exposure
Exposure Duration DPM
Exhaust
TOG
Evaporative

TOG DPM
Year (years) Age
0 0.25 -0.25 - 0* 10 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 Hazard
Index
Fugitive
PM2.5
Total
PM2.5
1 1 0 - 1 10 0.0000 0.0045 0.0041 0.005 0.004 0.0002 0.01 0.0000 0.00 0.00 2 1 1 - 2 10 0.0000 0.0045 0.0041 0.005 0.004 0.0002 0.01 3 1 2 - 3 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 4 1 3 - 4 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 5 1 4 - 5 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 6 1 5 - 6 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 7 1 6 - 7 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 8 1 7 - 8 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 9 1 8 - 9 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 10 1 9 - 10 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 11 1 10 - 11 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 12 1 11 - 12 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 13 1 12 - 13 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 14 1 13 - 14 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 15 1 14 - 15 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 16 1 15 - 16 3 0.0000 0.0045 0.0041 0.001 0.001 0.0000 0.00 17 1 16-17 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 18 1 17-18 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 19 1 18-19 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 20 1 19-20 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 21 1 20-21 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 22 1 21-22 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 23 1 22-23 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 24 1 23-24 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 25 1 24-25 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 26 1 25-26 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 27 1 26-27 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 28 1 27-28 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 29 1 28-29 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 30 1 29-30 1 0.0000 0.0045 0.0041 0.000 0.000 0.0000 0.00 Total Increased Cancer Risk 0.02 0.019 0.001 0.04
* Third trimester of pregnancy
TAC
DPM
Maximum - Exposure Information Concentration (ug/m3) Cancer Risk (per million) 2034
Maximum
2025
2025
2026
2027
2028
TOTAL
Year
Age
Sensitivity
Factor
Exhaust
TOG
Evaporative
TOG
2029
2030
2031
2032
2033
2046
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2053
2054
2047
2048
2049
2050
2051
2052
Stationary Source Risk & Hazards Screening Report
Area of Interest (AOI) Information
Area : 4,829,628.73 ft²
Oct 27 2021 13:00:04 Eastern Daylight Time
Firefox https://baaqmd.maps.arcgis.com/apps/webappviewer/index.html?id=238... 1 of 2 10/27/2021, 1:01 PM
Summary
Name Count Area(ft²) Length(ft)
Permitted Facilities 2018 11 N/A N/A
Permitted Facilities 2018
# FACID Name Address City St
1 14009 Boston Properties 651 Gateway Boulevard South San Francisco CA 2 15916 Boston Properties 611 Gateway Boulevard South San Francisco CA 3 16024 Genentech, Inc 611 Gateway Boulevard South San Francisco CA 4 17649 Alexandria Real Estate
Equities, Inc Gateway Boulevard South San Francisco CA
5 18401 Lowe's HIW Inc 720 Dubuque Avenue South San Francisco CA 6 19179 MacroGenics West,Inc One Corporate Drive South San Francisco CA 7 20215 NOD Auto Body Shop
Inc 110 Lux Ave South San Francisco CA
8 20236 Biotech Gateway - HCP
c/o CBRE 2 Corporate Drive South San Francisco CA
9 109214 Unocal #1020 --Grand
Martco Inc 221 Airport Blvd South San Francisco CA
10 110786 Flyers #411 190 E Grand Ave South San Francisco CA 11 201062 A&K Supreme Auto 510 CYPRESS AVE #
512 S SAN FRAN CA
# Zip County Cancer Hazard PM_25 Type Count
1 94080 San Mateo 20.250 0.030 0.330 Contact
BAAQMD 1
2 94080 San Mateo 1.770 0.000 0.000 Contact
BAAQMD 1
3 94080 San Mateo 2.730 0.010 0.000 Generators 1
4 94080 San Mateo 9.310 0.010 0.010 Generators 1
5 94080 San Mateo 9.470 0.000 0.010 Generators 1
6 94080 San Mateo 39.610 0.020 0.050 Generators 1
7 94080 San Mateo 0.000 0.000 0.000 Contact
BAAQMD 1
8 94080 San Mateo 1.660 0.000 0.000 Generators 1
9 94080 San Mateo 24.520 0.110 0.000 Gas Dispensing
Facility 1
10 94080 San Mateo 10.030 0.040 0.000 Gas Dispensing
Facility 1
11 94080 Santa Clara 0.000 0.000 0.000 Contact
BAAQMD 1
Note: The estimated risk and hazard impacts from these sources would be expected to be substantially lower when site specific Health Risk Screening Assessments are conducted.

The screening level map is not recommended for evaluating sensitive land uses such as schools, senior centers, day cares, and health facilities. © Copyright 2018 Bay Area Air Quality Management District Firefox https://baaqmd.maps.arcgis.com/apps/webappviewer/index.html?id=238... 2 of 2 10/27/2021, 1:01 PM
Date of Request 10/27/2021
Contact Name Zachary PalmAffiliation Illingworth & Rodkin, Inc.Phone 707‐794‐0400 x117Email [email protected] Name 580 Dubuque AveAddress 580 Dubuque AveCity South San FranciscoCounty San MateoType (residential, commercial, mixed use, industrial, etc.) Lab/OfficeProject Size (# of units or building square feet) 274k sqft Table A: Requester Contact Information
Comments:

Risk & Hazard Stationary Source Inquiry FormThis form is required when users request stationary source data from BAAQMDThis form is to be used with the BAAQMD's Google Earth stationary source screening tables.

Click here for guidance on coducting risk & hazard screening, including roadways & freeways, refer to the District's Risk & Hazard Analysis flow chart.

Click here for District's Recommended Methods for Screening and Modeling Local Risks and Hazards document.

For Air District assistance, the following steps must be completed:

1. Complete all the contact and project information requested in  . Incomplete forms will not be processed. Please include a project site map.

2. Download and install the free program Google Earth, http://www.google.com/earth/download/ge/,  and then download the county specific Google Earth stationary source application files  from the District's website, http://www.baaqmd.gov/Divisions/Planning‐and‐Research/CEQA‐GUIDELINES/Tools‐and‐ Methodology.aspx. The small points on the map represent stationary sources permitted by the District (Map A on right). These permitted sources include diesel back‐up generators, gas stations, dry cleaners, boilers, printers, auto spray booths, etc. Click on a point to view the source's Information Table, including the name, location, and preliminary estimated cancer risk, hazard index, and PM2.5 concentration.3. Find the project site in Google Earth by inputting the site's address in the Google Earth search box.4. Identify stationary sources within at least a 1000ft radius of project site. Verify that the location of the source on the map matches with the source's address in the Information Table, by using the Google Earth address search box to confirm the source's address location. Please report any mapping errors to the District.5. List the stationary source information in  blue section only.

6. Note that a small percentage of the stationary sources have Health Risk Screening Assessment (HRSA) data INSTEAD of screening level data. These sources will be noted by an asterisk next to the Plant Name (Map B on right). If HRSA values are presented, these values have already been modeled and cannot be adjusted further.7. Email this completed form to District staff.  District staff will provide the most recent risk, hazard, and PM2.5 data that are available for the source(s). If this information or data are not available, source emissions data will be provided. Staff will respond to inquiries within three weeks.

Note that a public records request received for the same stationary source information will cancel the processing of your SSIF request.Submit forms, maps, and questions to Areana Flores at 415‐749‐4616, or [email protected] Table A: Requester Contact Information
Table B
Table A
Construction MEI
Distance from
Receptor (feet) or
MEI1 Plant No. Facility Name Address Cancer Risk2 Hazard Risk2 PM2.52 Source No.3 Type of Source4 Fuel Code5 Status/Comments Distance
Adjustment
Multiplier
Adjusted
Cancer Risk
Estimate
Adjusted
Hazard
Risk
Adjusted
PM2.5
1000+ 24795 Boston Properties 651 Gateway Boulevard 20.246 0.0315 0.3314 Generators, Boilers 2018 Dataset 0.04 0.81 0.001 0.01 1000+ 24795 Boston Properties 611 Gateway Boulevard 1.77 0.00 0.00 Generators, Boilers 2018 Dataset 0.04 0.07 0.000 0.001000+ 16024 Genentech, Inc 611 Gateway Boulevard 2.73 0.01 0.00 Generators 2018 Dataset 0.04 0.11 0.000 0.001000+ 17649 Alexandria Real Estate Equities, Inc Gateway Boulevard 9.31 0.01 0.01 Generators 2018 Dataset 0.04 0.37 0.001 0.00 1000+ 18401 Lowe's HIW  Inc 720 Dubuque Avenue 9.47 0.00 0.01 Generators 2018 Dataset 0.04 0.38 0.000 0.00 1000+ 19179 MacroGenics West,Inc One Corporate Drive 39.61 0.02 0.05 Generators 2018 Dataset 0.04 1.58 0.001 0.00100 20215 NOD Auto Body Shop Inc 110 Lux Ave 0.00 Auto Body Coating Operation 2018 Dataset

0.78 0.00 0.000 0.00
1000+ 20236
Biotech Gateway ‐ HCP c/o CBRE 2 Corporate Drive 1.66 0.00 0.00 Generators 2018 Dataset 0.04 0.07 0.000 0.00 730 109214
Unocal #1020 ‐‐Grand Martco Inc 221 Airport Blvd 24.52 0.11 Gas Dispensing Facility 2018 Dataset 0.03 0.61 0.003 0.00 1000+ 110786 Flyers #411 190 E Grand Ave 10.03 0.04
Gas Dispensing Facility 2018 Dataset 0.02 0.15 0.001 0.00 200 201062 A&K Supreme Auto 510 CYPRESS AVE # 512 0.0048 Auto Body Coating Operation 2018 Dataset

0.64 0.00 0.003 0.00
Footnotes:

1. Maximally exposed individual
c. BAAQMD Reg 11 Rule 16 required that all co‐residential (sharing a wall, floor, ceiling or is in the same building as a residential unit) dry cleaners cease use of perc on July 1, 2010.

Date last updated: 03/13/2018
g. This spray booth is considered to be insignificant.

4. Permitted sources include diesel back‐up generators, gas stations, dry cleaners, boilers, printers, auto spray booths, etc.11. Further information about common sources:
a. Sources that only include diesel internal combustion engines can be adjusted using the BAAQMD's Diesel Multiplier worksheet. b. The risk from natural gas boilers used for space heating when <25 MM BTU/hr would have an estimated cancer risk of one in a million or less, and a chronic hazard index of Therefore, there is no cancer risk, hazard or PM2.5 concentrations from co‐residential dry cleaning businesses in the BAAQMD. d. Non co‐residential dry cleaners must phase out use of perc by Jan. 1, 2023. Therefore, the risk from these dry cleaners does not need to be factored in over a 70‐year period, but instead should e. Gas stations can be adjusted using BAAQMD's Gas Station Distance Mulitplier worksheet.

6. If a Health Risk Screening Assessment (HRSA) was completed for the source, the application number will be listed here.7. The date that the HRSA was completed.8. Engineer who completed the HRSA. For District purposes only.9. All HRSA completed before 1/5/2010 need to be multiplied by an age sensitivity factor of 1.7.10. The HRSA "Chronic Health" number represents the Hazard Index.5. Fuel codes: 98 = diesel, 189 = Natural Gas.2. These Cancer Risk, Hazard Index, and PM2.5 columns represent the values in the Google Earth Plant Information Table.3. Each plant may have multiple permits and sources. f. Unless otherwise noted, exempt sources are considered insignificant. See BAAQMD Reg 2 Rule 1 for a list of exempt sources.

Table B: Google Earth data
Attachment 6: City of South San Francisco Climate Action Plan Checklist

CULTURAL RECORDS SEARCH, NATIVE AMERICAN HERITAGE

COMMISSION RESPONSE

ATTACHMENT B
to the
580 Dubuque Avenue Project Initial Study / Mitigated Negative Declaration

August 22, 2021 NWIC File No.: 21-0249
Rebecca Auld
Lamphier- Gregory, Inc.
4100 Redwood Road, STE 20A - #601
Oakland, CA 94619
Re: Record search results for the proposed 580 Dubuque Avenue Project in the City of South San Francisco, CA.

Dear Ms. Rebecca Auld:

Per your request received by our office on the 12th of August, 2021, a rapid response records search was conducted for the above referenced project by reviewing pertinent Northwest Information Center (NWIC) base maps that reference cultural resources records and reports, historic-period maps, and literature for San Mateo County.

Please note that use of the term cultural resources includes both archaeological resources and historical buildings and/or structures.

As per information received by this office, the 1.89- acre project site was formerly used for industrial purposes but is currently vacant. The site includes Assessor’s Parcel Number 015-021-998. The project proposes to construct approximately 295,000 square feet of research & development/office space adjacent to the recently relocated South San Francisco Caltrain station. The project will involve excavation for subsurface parking and removal of contaminated soil extending to depths of about 48 to 60 feet below ground surface.

Review of this information indicates that there have been five cultural resource studies that in total cover approximately 100% of the 580 Dubuque Avenue project area (see enclosed report listing). This 580 Dubuque Avenue project area contains no recorded archaeological resources. The State Office of Historic Preservation Built Environment Resources Directory (OHP BERD), which includes listings of the California Register of Historical Resources, California State Historical Landmarks, California State Points of Historical Interest, and the National Register of Historic Places, lists no recorded buildings or structures within the proposed 580 Dubuque Avenue project area, 2 21‐0249
although there is one recorded property adjacent to the project area on Dubuque Avenue, the South San Francisco Freight Spur and Loading Platform (OTIS # 521430). This resource has a status code of 6Y, meaning this property was determined ineligible for the National Register by consensus through Section 106 process, Not evaluated for the California Register or local listing. In addition to these inventories, the NWIC base maps show no recorded buildings or structures within the proposed 580 Dubuque Avenue project area.

At the time of Euroamerican contact the Native Americans that lived in the area were speakers of the Ramaytush language, part of the Costanoan/Ohlone language family (Levy 1978: 485). There are Native American resources in the general area of the proposed 580 Dubuque Avenue project area referenced in the ethnographic literature (Levy 1976, Nelson 1909). Using Milliken’s study of various mission records, the proposed project area is located within the lands of the Urebure tribe, whose territory was located "in the San Bruno Creek area just south of San Bruno Mountain on the San Francisco Peninsula. (Milliken 1995: 258-9).

Based on an evaluation of the environmental setting and features associated with known sites, Native American resources in this part of San Mateo County have been found in areas marginal to the San Francisco Bay shore and inland in valleys, near intermittent and perennial watercourses and near areas populated by oak, buckeye, manzanita, and pine, as well as near a variety of plant and animal resources. The 580 Dubuque Avenue project area is located west of Point San Bruno, approximately 40 meters west of the historic San Francisco Bay shore margins. Given the similarity of these environmental factors and the ethnographic sensitivity of the area, there is a moderate to high potential for unrecorded Native American resources to be within the proposed 580 Dubuque Avenue project area.

Review of historical literature and maps indicated the possibility of historic-period activity within the 580 Dubuque Avenue project area. Early San Mateo County maps indicated the project area was located within the South San Francisco Land and Improvements Co., Abattoire (Bromfield 1894). In addition, the 1915 San Mateo USGS 15-minute topographic quadrangle indicated a portion of railroad spur within and adjacent to the project area. With this in mind, there is a moderate to high potential for unrecorded historic-period archaeological resources to be within the proposed 580 Dubuque Avenue project area.
3 21‐0249
The 1956 photo revised 1980 San Francisco South USGS 7.5-minute depicts a railroad spur within and adjacent to the 580 Dubuque Avenue project area. If present, this unrecorded structure meets the Office of Historic Preservation’s minimum age standard that buildings, structures, and objects 45 years or older may be of historical value.

RECOMMENDATIONS:
1) There is a moderate to high potential of identifying Native American archaeological resources and a moderate to high potential of identifying historic-period archaeological resources in the project area. Although previous studies included field survey of the project area, the 580 Dubuque Avenue project will involve excavation for subsurface parking and removal of contaminated soil extending to depths of about 48 to 60 feet below ground surface. Therefore, we recommend a qualified archaeologist conduct further archival and field study to identify possible buried cultural resources, and provided project specific recommendations. Field study may include, but is not limited to, pedestrian survey, hand auger sampling, shovel test units, or geoarchaeological analyses as well as other common methods used to identify the presence of archaeological resources. Please refer to the list of consultants who meet the Secretary of Interior’s Standards at http://www.chrisinfo.org.
2) We recommend the lead agency contact the local Native American tribe(s) regarding traditional, cultural, and religious heritage values. For a complete listing of tribes in the vicinity of the project, please contact the Native American Heritage Commission at 916/373-3710.
3) The proposed 580 Dubuque Avenue project area is located adjacent to, and may contain a portion of one recorded structure, the South San Francisco Freight Spur and Loading Platform (OTIS # 521430), with a status code of 6Y, that is included in the OHP BERD. Therefore, prior to commencement of project activities, it is recommended that this resource be assessed by a professional familiar with the architecture and history of San Mateo County. Please refer to the list of consultants who meet the Secretary of Interior’s Standards at http://www.chrisinfo.org.
4 21‐0249
4) Review for possible historic-period buildings or structures has included only those sources listed in the attached bibliography and should not be considered comprehensive.
5) If archaeological resources are encountered during construction, work should be temporarily halted in the vicinity of the discovered materials and workers should avoid altering the materials and their context until a qualified professional archaeologist has evaluated the situation and provided appropriate recommendations. Project personnel should not collect cultural resources. Native American resources include chert or obsidian flakes, projectile points, mortars, and pestles; and dark friable soil containing shell and bone dietary debris, heat-affected rock, or human burials. Historic-period resources include stone or adobe foundations or walls; structures and remains with square nails; and refuse deposits or bottle dumps, often located in old wells or privies. 6) It is recommended that any identified cultural resources be recorded on DPR 523 historic resource recordation forms, available online from the Office of Historic Preservation’s website: https://ohp.parks.ca.gov/?page_id=28351 Due to processing delays and other factors, not all of the historical resource reports and resource records that have been submitted to the Office of Historic Preservation are available via this records search. Additional information may be available through the federal, state, and local agencies that produced or paid for historical resource management work in the search area. Additionally, Native American tribes have historical resource information not in the California Historical Resources Information System (CHRIS) Inventory, and you should contact the California Native American Heritage Commission for information on local/regional tribal contacts.

The California Office of Historic Preservation (OHP) contracts with the California Historical Resources Information System’s (CHRIS) regional Information Centers (ICs) to maintain information in the CHRIS inventory and make it available to local, state, and federal agencies, cultural resource professionals, Native American tribes, researchers, and the public. Recommendations made by IC coordinators or their staff regarding the interpretation and application of this information are advisory only. Such recommendations do not necessarily represent the evaluation or opinion of the State 5 21‐0249
Historic Preservation Officer in carrying out the OHP’s regulatory authority under federal and state law.

Thank you for using our services. Please contact this office if you have any questions, (707) 588-8455.

Sincerely,
Jillian Guldenbrein
Researcher

6 21‐0249

LITERATURE REVIEWED
In addition to archaeological maps and site records on file at the Northwest Information Center of the Historical Resources Information System, the following literature was reviewed:

Brabb, Earl E., Fred A. Taylor, and George P. Miller
1982 Geologic, Scenic, and Historic Points of Interest in San Mateo County, California.

Miscellaneous Investigations Series, Map I-1257-B, 1:62,500. Department of the Interior, United States Geological Survey, Washington, D.C.

Bromfield, Davenport
1894 Official Map of San Mateo County, California
General Land Office
1858, 1864 Survey Plat for Rancho Buri Buri, Township 3 South/Range 5 West.

Heizer, Robert F., editor
1974 Local History Studies, Vol. 18., “The Costanoan Indians.” California History Center, DeAnza College, Cupertino, CA.

Helley, E.J., K.R. Lajoie, W.E. Spangle, and M.L. Blair 1979 Flatland Deposits of the San Francisco Bay Region - Their Geology and Engineering Properties, and Their Importance to Comprehensive Planning.

Geological Survey Professional Paper 943. United States Geological Survey and Department of Housing and Urban Development.

Kroeber, A.L.
1925 Handbook of the Indians of California. Bureau of American Ethnology, Bulletin 78, Smithsonian Institution, Washington, D.C. (Reprint by Dover Publications, Inc., New York, 1976)
Levy, Richard
1978 Costanoan. In California, edited by Robert F. Heizer, pp. 485-495. Handbook of North American Indians, vol. 8, William C. Sturtevant, general editor. Smithsonian Institution, Washington, D.C.

Milliken, Randall
1995 A Time of Little Choice: The Disintegration of Tribal Culture in the San Francisco Bay Area 1769-1810. Ballena Press Anthropological Papers No. 43, Menlo Park, CA.

Nelson, N.C.
1909 Shellmounds of the San Francisco Bay Region. University of California Publications in American Archaeology and Ethnology 7(4):309-356. Berkeley. (Reprint by Kraus Reprint Corporation, New York, 1964)
7 21‐0249
Nichols, Donald R., and Nancy A. Wright
1971 Preliminary Map of Historic Margins of Marshland, San Francisco Bay, California.

U.S. Geological Survey Open File Map. U.S. Department of the Interior, Geological Survey in cooperation with the U.S. Department of Housing and Urban Development, Washington, D.C.

San Mateo County Historic Resources Advisory Board
1984 San Mateo County: Its History and Heritage. Second Edition. Division of Planning and Development Department of Environmental Management.

State of California Department of Parks and Recreation
1976 California Inventory of Historic Resources. State of California Department of Parks and Recreation, Sacramento.

State of California Office of Historic Preservation **
2020 Built Environment Resources Directory. Listing by City (through March 3, 2020). State of California Office of Historic Preservation, Sacramento. **Note that the Office of Historic Preservation’s Historic Properties Directory includes National Register, State Registered Landmarks, California Points of Historical Interest, and the California Register of Historical Resources as well as Certified Local Government surveys that have undergone Section 106 review.

Report List
Report No. Other IDs Year Author(s) Title Affiliation
NWIC File # 21-0249 580 Dubuque Avenue Project
S-029657 2002 Archaeological Inventory for the Caltrain Electrification Program Alternative in San
Francisco, San Mateo, and Santa Clara
Counties, California
Far Western
Anthropological Research
Group, Inc.

Wendy J. Nelson,
Tammara Norton, Larry
Chiea, and Reinhard
Pribish

OHP PRN -
FTA021021A;
Voided - S-37863;
Voided - S-42672;
Voided - S-43525
S-029657a 2002 Finding of No Adverse Effect, Caltrain
Electrification Program, San Francisco, San
Mateo, and Santa Clara Counties, California
JRP Historical Consulting
Services
Rand F. Herbert
S-029657b 2002 Historic Property Survey for the Proposed Caltrain Electrification Program, San
Francisco, San Mateo, and Santa Clara
Counties, California
Parsons; JRP Historical
Consulting Services; Far
Western Anthropological
Research Group, Inc.

S-029657c 2002 FTA021021A; Caltrain Electrification
Program, San Francisco, San Mateo, and
Santa Clara Counties
Office of Historic
Preservation
Knox Mellon
S-029657d 2003 Final Finding of Effect Amendment, Caltrain Electrification Project, San Francisco, San
Mateo, and Santa Clara Counties, California
JRP Historical Consulting
Services
Meta Bunse