Pismo Beach City Council
May 19, 2026

Appendix A
Notice of Preparation and Comment Letters

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Notice of Preparation
TO: Responsible Agencies Et Interested Parties
City of Pismo Beach
Community Development Department
760 Mattie Road
Pismo Beach, California 93449
T: (805) 773-4657
www.pismobeach.org
SUBJECT: NOTICE OF PREPARATION OF A DRAFT ENVIRONMENTAL IMPACT REPORT NOTICE IS HEREBY GIVEN that the City of Pismo Beach will be the Lead Agency and will prepare an Environmental Impact Report (EIR) for the project identified below. We need to know you views as to the scope and content of the environmental information that is germane to your agency's statutory responsibilities in connection with the proposed project. The City is issuing this Notice of Preparation to notify public agencies and the public to request input regarding the scope and content of the Draft EIR for this project.

The public review and comment period for this Notice of Preparation begins Friday, January 15, 2021 and ends Monday, February 15, 2021 at 5:00 p.m. A detailed project description with a project location map is available online at http://www.pismobeach.org/905/DOCUMENTS . No Initial Study is attached because the lead agency has already determined that an EIR is clearly required for the project and is therefore not required to prepare an Initial Study per CEQA Guidelines Section 15063(a).

Written comments may be submitted to City of Pismo Beach, Attn: Jeff Winklepleck, 760 Mattie Road, Pismo Beach, California 93449. In addition, because the project is of regional and areawide significance, a scoping meeting will be held by the City of Pismo Beach on Thursday, January 28, 2021 at 5:30 p.m. via video conference.

This videoconference will be held in accordance with the provisions of Executive Order N-29-20, which authorizes local legislative bodies to hold public meetings via teleconferencing and to make public meetings accessible telephonically or otherwise electronically to all members of the public seeking to observe and to address the local legislative body during the period in which state or local public health officials have imposed or recommended social distancing measures. Executive Order N-29-20 (extended by Executive Order N-80-20) also waives all requirements in the Brown Act requiring the physical presence of personnel of the legislative body or of the public as a condition of participation in or quorum for a public meeting during the period in which state or local public health officials have imposed or recommended social distancing measures. To access the video conference, visit https://dudek.zoom.us/j/96637299844?pwd=bVQyROgSbWduRHIHOWdyRGVEbENFQT09 or use the call -in number 669-900-6833 and enter the meeting ID 966-3729-9844# on Thursday, January 28, 2021 at 5:30 p.m.

Project Title: Pismo Beach General Plan/Local Coastal Plan (GP/LCP) Update State Clearinghouse #: Pending
Project Location:

The project focuses on the land area of the City of Pismo Beach, which is located on the Central Coast of California, midway between San Francisco and Los Angeles. Pismo Beach lies within the San Luis Bay Planning Area of the San Luis Obispo County General Plan. Pismo Beach has a total area of 13.5 square miles, the majority of which is located in the Coastal Zone. 9.9 square miles of the City is water and the remaining 3.6 square miles is land area. Pismo Beach is one of seven incorporated cities within San Luis Obispo County. Pismo Beach is bordered by the beach and ocean on the southwest and hills to the northeast. The Cities of Grover Beach and Arroyo Grande are south and east of Pismo Beach and the unincorporated community of Avila Beach is just north of Pismo Beach.

Project Sponsor: City of Pismo Beach, Planning Division 760 Mattie Road, Pismo Beach, CA 93449

Brief Project Description:

The project is an update to the City of Pismo Beach GP/LCP, which includes updates to the Land Use, Safety, Conservation and Open Space, Noise, Facilities, and Parks, Recreation, and Access Elements of the City's GP/LCP. The GP/LCP Update does not include updates to the Circulation, Design, Growth Management, Housing Elements. The GP/LCP Update is an update of the City's 1992 GP/LCP and presents the community's vision for Pismo Beach through the GP/LCP horizon (year 2040). The GP/LCP Update was developed through an extensive public outreach and involvement process, including careful analysis by advisory committees, City staff, elected officials, and the community. Each element of the plan addresses different aspects of the community and identifies measurable actions to guide residents, decision -makers, businesses, and City staff toward achieving the community vision. Goals established in the GP/LCP Update are intended to maintain the City's small beach town character, manage growth effectively, provide a safe community, and enhance the City's tourist -based economy. The GP/LCP Update establishes overarching City policies and priorities that describe how the community intends to use and manage its physical, social, and economic resources.

The GP/LCP Land Use Element guides the future development of Pismo Beach by establishing the allowable distribution, location, and extent of development across the city for residential, commercial, open space, public and semi-public facilities, and other uses. The LCP consists of two parts as required by the Coastal Act: a Land Use Plan, which was last updated in 1993, and the Implementation Plan, which was last updated in 1983, with several amendments to both documents occurring since. The Implementation Plan provides the zoning regulations that implement the LUP goals, policies and actions and serves as the City's Coastal Zoning Ordinance. Potential environmental effects include, but are not necessarily limited to, impacts related to air quality, biological resources, cultural and tribal cultural resources, energy, greenhouse gas emissions, hazards and hazardous materials, hydrology/water quality, land use, noise, and transportation.

Consulting firm retained to prepare draft EIR:

Firm Name: Rincon Consultants, Inc.

Address: 1530 Monterey Street, Suite D, San Luis Obispo, California 93401 Contact: Christopher Bersbach, Senior Environmental Planner Date: January 15, 2021 Signature:

Jeff Winklepleck
Title: Senior Management Analyst, City of Pismo Beach
Phone: (805) 773-4658

Via Email

SLO COUNTY
C
February 11, 2021
Air Pollution Contro District
San Luis Obispo County
Jeff Winklepleck
City of Pismo Beach
Community Development Department
760 Mattie Road
Pismo Beach, California 93449
SUBJECT: Notice of Preparation (NOP) of a Draft Environmental Impact Report (DEIR) for the Pismo Beach General Plan/Local Coastal Plan (GP/LCP) update To Jeff Winklepleck:

Thank you for including the San Luis Obispo County Air Pollution Control District (APCD) in the environmental review process. We have completed our review of the Pismo Beach GP/LCP update NOP/DEIR referral.

The City of Pismo Beach GP/LCP will include updates to the Land Use, Safety, Conservation and Open Space, Noise, Facilities, and Parks, Recreation, and Access Elements of the City's GP/LCP. The GP/LCP Update does not include updates to the Circulation, Design, Growth Management, Housing Elements. The GP/LCP Update is an update of the City's 1992 GP/LCP and presents the community's vision for Pismo Beach through the GP/LCP horizon (year 2040). Each element of the updated plan will address different aspects of the community and identifies measurable actions to guide residents, decision -makers, businesses, and City staff toward achieving the community vision. Goals established in the GP/LCP Update are intended to maintain the City's small beach town character, manage growth effectively, provide a safe community, and enhance the City's tourist -based economy. The GP/LCP Update establishes overarching City policies and priorities that describe how the community intends to use and manage its physical, social, and economic resources. The GP/LCP Land Use Element guides the future development of Pismo Beach by establishing the allowable distribution, location, and extent of development across the city for residential, commercial, open space, public and semi-public facilities, and other uses.

The following APCD comments are pertinent to this plan update.

The DEIR should include a description of existing air quality and emissions in the impact area, including the attainment status of the APCD relative to State and Federal air quality standards and any existing regulatory restrictions to development.

The most appropriate standard for assessing the significance of potential air quality impacts for General Plan and Local Coastal Plan update EIRs is the preparation of a T 805.781.5912
F 805.781.1002 w slocleanair.org 3433 Roberto Court, San Luis Obispo, CA 93401

Draft Environmental Impact Report (DEIR)
Pismo Beach General Plan/Local Coastal Plan
February 11, 2021
Page2of3
consistency analysis. This analysis should evaluate the proposed update against the land use and transportation goals, policies, and population projections contained in the APCD Clean Air Plan, the San Luis Obispo Council of Government's Regional Transportation Plan, and local Climate Action Plans. The rationale for requiring the preparation of a consistency analysis is to ensure that the attainment projections developed by the APCD and state requirements are met and maintained.

Failure to comply with these plans could result in long term air quality impacts.

The APCD's CEQA Air Quality Handbook and recently refreshed Land Use & CEQA web page provides guidance for preparing the consistency analysis. In addition, the APCD also recently issued CEQA greenhouse gas guidance which, although has a project level focus, also cites legal cases, some of which may have general plan relevance. Another reference that should be insightful to updating several GP/LUC elements in ways that minimize air quality impacts is APCD's July 6, 2020 comments for the San Luis Obispo Countywide Regional Housing Compact (attached).

The DEIR should include a range of alternatives that could effectively minimize air quality impacts. A consistency analysis should be performed for each of the proposed alternatives identified, as described above. A qualitative analysis of the air quality impacts should be generated for each of the proposed alternatives. Examples include but are not limited to:
• Flexible zoning to promote mixed use and design standards that protect mixed use. • Increase the amount of neighborhood scale mixed use.
• Additional density beyond proposed zoning allowances. • Design standards that require narrow streets and minimum front setbacks on structures.

Limiting the size of each arterial through the development. This reduces the need for noise barriers such as cinder block walls along roadways, decreases roadway widths, and slows the speed of traffic, creating an atmosphere that encourages active transportation.

Finally, development adjacent to high -volume roadways and railroads where mobile sources produce diesel particulate matter can present health risks to sensitive receptors. Diesel particulate matter has been classified by the California Air Resource Board's (CARB) as a toxic air contaminant and a carcinogen. Because of this, the APCD does not support sensitive receptor development near Highway 101 and railroads. Non -sensitive uses and developments such as commercial, parking lots and offices in which occupants are exposed to the health risk for a shorter duration —are better suited to be nearest to Highway 101 and railroads. Health risk decreases with decreased rate of exposure to the toxic source.

Should development occur near Highway 101 and railroads, the APCD recommends the following:
• Orient the sensitive receptor as far back as possible from the toxic source, which will directly reduce cancer risk;
• Incorporate strategies stated in Table 1 from the California Air Resource Board's technical advisory document Strategies to Reduce Air Pollution Exposure Near High -Volume Roadways;
• Note: Implementing strategies such as air filtration systems, sound walls, and vegetation barriers have not been proven to be as effective as moving a sensitive receptor farther from the toxic source; and
• Disclose potential health risks to future sensitive receptors for informational purposes.

APCD Comments for the Pismo Beach GP/LCP update
February 11, 2021

Further, residential units sited near pollution sources are generally lower in market value, indicating it is possible residential homes would become affordable to lower -income populations. Low-income community members often face existing health disparities, so siting housing near air pollution sources which has a possibility to become affordable may need further consideration (See Page 57 of the CARB's 2017 Scooing Plan update).

Thank you for the opportunity to comment on this plan update. The APCD looks forward to reviewing the Draft EIR for the GP/LUC update when it is complete and please contact me at 805-781-5912 if there are APCD questions during the DEIR development.

Sincerely,

GARY ARCEMONT
Air Quality Specialist
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Cc: Christopher Bersbach, Agent

SLO COUN
apcd
Via Email
July 6, 2020
Carolyn K. Berg
San Luis Obispo County
1055 Monterey Street
San Luis Obispo, CA 93408
[email protected]
A-7`ra_ e_kvrteAlt"-
Air Pollution Contro District
San Luis Obispo County
SUBJECT: APCD Comments Regarding the San Luis Obispo Countywide Regional Housing Compact
Dear Ms. Berg:

The San Luis Obispo County Air Pollution Control District (APCD) reviewed the Draft San Luis Obispo Countywide Regional Housing Compact (Regional Compact). The APCD would like to commend the County of San Luis Obispo for leading the region to a unified vision for this compact. The Regional Compact develops an initial list of regional policies for jurisdictions to consider in their efforts to achieve their Regional Housing Needs Allocation requirements and support this effort. The APCD supports the stated regional goals in the Regional Compact to guide collaborative resolution of underlying housing and infrastructure needs.

The APCD specifically supports Goal 3: Create Balanced Communities, Goal 4: Value Agriculture & Natural Resources and Goa/ 5: Support Equitable Opportunities. These goals not only support the regional housing and infrastructure vision; but can also improve the region's air quality. Balancingjobs/housing can reduce emissions and vehicle miles traveled (VMT) by minimizing the number of trips and commute distances. Preserving agriculture and natural resources avoids the loss of sequestration potential; a long-term path for reducing greenhouse gases (GHGs) in the natural environment. It also avoids air quality impacts when agricultural land outside of Urban Reserve Lines (URLs) are converted to more intense land uses.

Goal 3 and 4 can also ensure the development of walkable and bikeable communities within the URLs. When people can walk and cycle to nearby workplaces, traffic is reduced, and physical activity is promoted which can help to create healthier communities. The APCD supports these goals, as they are consistent with the SLO APCD's Clean Air Plan and SLOCOG's Regional Transportation Plan and Sustainable Communities Strategy.

Additionally, Goal 5 supports the development of housing within our jurisdictions that is available to people at all income levels. By improving housing affordability within the URLs r 805.781.5912 r 805.781.1002 w slocleanair.org 3433 Roberto Court, San Luis Obispo, CA 93401

APCD Comments for San Luis Obispo Countywide Regional Housing Compact July 6, 2020

there is an opportunity to improve jobs/housing balance which reduces VMT and related air pollution.

The housing elements currently available for review show updates with the Regional Compact goals and policies in mind. The table below displays some examples:

City of Atascadero's
proposed Program 1.C
Continue to allow mixed residential and commercial development and promote second- and third -story residential development in the Downtown zoning districts. To increase project certainty and streamline development, the City will consider identifying appropriate, mid -block locations, outside of the downtown, for future mixed-use/residential development (in commercial zoning districts) while considering appropriate jobs/housing balance and fiscal impacts. Considering market conditions and development costs, the City will provide, when possible, developer incentives such as expedited permit processing and flexible development standards for units that are affordable to lower -income households.

Mixed -Use
Development
City of San Luis
Obispo's proposed
Program (5.6) Housing
This program proposes that the City evaluate ways in which to increase the number of housing units available to the missing middle by specifically exploring ways to promote housing types such as duplexes, triplexes, quadplexes, cottages, etc.

Variety
San Luis Obispo
County's proposed
Program B: AB 686
Take actions and/or update the Fair Housing Plan to affirmatively further fair housing and ensure compliance with AB 686 to ensure that meaningful actions will be taken to combat discrimination, overcome patterns of segregation, and foster inclusive communities free from barriers that restrict access to opportunity based on protected characteristics.

Affirmatively Further
Fair Housing
City of Morro Bay's
Program H-1.4
In order to create a vibrant, pedestrian- and bicycle -friendly small urban atmosphere in the downtown area and ensure optimal access to services and public transportation, the City will encourage the development of new high -density housing in and adjacent to the downtown commercial district. To facilitate this goal, the City will inventory vacant and underutilized lots in and adjacent to the downtown business district, identify sites or areas where re -zoning to high -density residential or mixed -use categories might be desirable and modify the City's zoning map as appropriate.

The APCD would like to commend the many goals, policies and programs in the Regional Compact and housing elements that minimize air quality impacts from development. However, the siting of housing units should be done in accordance with the California Air Resource Board's technical advisory document Strategies to Reduce Air Pollution Exposure Near High -Volume Roadways to reduce diesel particulate matter impacts. Diesel particulate matter has been classified by the state as a toxic air contaminant and a carcinogen. Locating housing near some sections of rail lines may

APCD Comments for San Luis Obispo Countywide Regional Housing Compact July 6, 2020

also pose toxic risk impacts due to locomotive traffic or idling. Finally, siting lower -income housing near diesel impact sources may need further consideration because these community members often face existing health disparities (See Page 57 of the CARB's 2017 Scooing Plan update).

Local governments should also consider localized air pollution resulting from the concentration of various stationary sources, such as freight -handling facilities, manufacturing facilities or other industrial air pollution sources. When siting new housing near potential sources of pollution, layout and design considerations to reduce exposure to sensitive land uses should be incorporated. For example, policies can identify minimum setbacks and orientation strategies to be sited as far as possible from the toxic source to avoid health risks. Further, ensuring housing is located near or developed with transit services and active transportation infrastructure, offers the opportunity to minimize trip and commute distances and provide alternative transportation options to employment, schools, and services which can help reduce emissions and improve our region's air quality.

The APCD hopes the other proposed housing elements will also pursue goals and policies from the Regional Compact. Again, thank you for the opportunity to comment on this proposal. If you have any questions or comments, feel free to contact me at (805) 781-5912.

Sincerely,

JACKIE MANSOOR
Air Quality Specialist
JNM/jjh
cc: Rachel Cohen, City of San Luis Obispo
John Holder, City of Atascadero
Janet Reese, City of Grover Beach
Corey Hanh, County of San Luis Obispo
Darcy Delgado, City of Paso Robles
Andrew Perez, City of Arroyo Grande
Matt Downing, City of Pismo Beach
Nancy Hubbard, City of Morro Bay

STATE OF CAUFORNIA—CAUFORNIA STATE TRANSPORTATION AGENCY Gavin Newsom, Governor

DEPARTMENT OF TRANSPORTATION
CALTRANS DISTRICT 5
50 HIGUERA STREET
SAN LUIS OBISPO, CA 93401-5415
PHONE (805) 549-3101
FAX 805) 549-3329
TTY 711
www.dot.ca.gov/dist05/
February 16, 2021
Jeff Winklepleck,
Senior Management Analyst
City of Pismo Beach
760 Mattie Road
Pismo Beach, CA 93449
Making Conservation
a California Way of Life.

SLO Various
SCH# 2021010158

COMMENTS FOR THE NOTICE OF PREPARATION (NOP) FOR THE PISMO BEACH

GENERAL PLAN & LOCAL COASTAL PLAN UPDATE
Dear Mr. Winklepleck:

The California Department of Transportation (Caltrans) appreciates the opportunity to review the NOP for the Pismo Beach General Plan & Local Coastal Plan Update. Caltrans offers the following comments in response to the NOP:

1. Caltrans supports local development that is consistent with State planning priorities intended to promote equity, strengthen the economy, protect the environment, and promote public health and safety. We accomplish this by working with local jurisdictions to achieve a shared vision of how the transportation system should and can accommodate interregional and local travel and development. Projects that support smart growth principles which include improvements to pedestrian, bicycle, and transit infrastructure (or other key Transportation Demand Strategies) are supported by Caltrans and are consistent with our mission, vision, and goals.

2. As a result of Senate Bill (SB) 743, effective July 2020 Caltrans replaced vehicle level of service (LOS) with vehicle miles traveled (VMT) as the primary metric for identifying transportation impacts from local development. The focus now will be on how projects are expected to influence the overall amount of automobile use instead of traffic congestion as a significant "Provide a safe, sustainable, integrated and efficient transportation system to enhance Californian's economy and livability"

Mr. Jeff Winklepleck
February 16, 2021

impact. For more information, please visit: htfp://opr.ca.Qov/docs/20190122- 743 Technical Advisory.pdf.

3. Employing VMT as the metric of transportation impact Statewide will help to promote Green House Gas (GHG) emission reductions consistent with SB 375 and can be achieved through influencing on -the -ground development.

Implementation of this change will rely, in part, on local land use decisions to reduce GHG emissions associated with the transportation sector, both at the project level, and in long-term plans (including general plans, climate action plans, specific plans, and transportation plans) and supporting Sustainable Community Strategies (SCS) developed under SB 375.

4. Caltrans encourages a Transportation Demand Strategies (TDM) plan that increases the efficiency of the transportation system by providing options for users other than driving alone, or by shifting travel away from peak periods to help lower VMT. Examples include: locating higher density projects near transit; incorporating Complete Streets; mix use development, and traffic calming measures to enhance walkability.

5. Climate change's impact on the State Highway System (SHS) and local roadways should be addressed given the forecasted regional increase in wildfires, precipitation, and sea level rise. The SHS is the backbone of most county -level evacuation plans and often provides the only high -capacity evacuation routes from rural communities. Further, the SHS serves as the main access routes for emergency responders, and may serve as a physical line of defense such as a firebreak or an embankment against floodwaters, etc.

Caltrans requests to be included in any future public noticing regarding this project to allow us to prepare for and participate in the public process.

We look forward to continued coordination with the City on this effort. If you have any questions, or need further clarification on items discussed above, please contact me at (805) 835-6432 or [email protected]. cerely,
Sc 'Q. son
evelopment Review Coordinator
altrans District 5, LD-IGR South Branch
"Provide a safe. sustainable, rhrep-wed and efficient transportation system to enhance Calif'ornia'n economy and livability"

z

CHAIRPERSON
Laura Miranda
Luiseno
• STATE OF CALIFORNIA Gavin Newsom. Governor

VICE CHAIRPERSON
Reginald Pagaling
Chumash

SECRETARY
Merri Lopez -Keifer
Luiseno

PARLIAMENTARIAN
Russell Attebery
Karuk

COMMISSIONER
William Mungary
Paiute/White Mountain
Apache

COMMISSIONER
Julie Tumamait-
Stenslie
Chumash

COMMISSIONER
[Vacant]

COMMISSIONER
[Vacant]

COMMISSIONER
[Vacant]

EXECUTIVE SECRETARY
Christina Snider
Pomo

NAHC HEADQUARTERS
1550 Harbor Boulevard
Suite 100
West Sacramento,
California 95691
(916) 373-3710
[email protected]
NAHC.ca.gov

NATIVE AMERICAN HERITAGE COMMISSION
January 19, 2021
Jeff Winklepleck, Senior Management Analyst
City of Pismo Beach
760 Mattie Road
Pismo Beach, CA 93449
Re: 2021010158, Pismo Beach General Plan/Local Coastal Plan (GP/LCP) Update Project, San Luis Obispo County
Dear Mr. Winklepleck:

The Native American Heritage Commission (NAHC) has received the Notice of Preparation (NOP), Draft Environmental Impact Report (DEIR) or Early Consultation for the project referenced above. The California Environmental Quality Act (CEQA) (Pub. Resources Code §21000 et seq.), specifically Public Resources Code §21084.1, states that a project that may cause a substantial adverse change in the significance of a historical resource, is a project that may have a significant effect on the environment. (Pub. Resources Code § 21084.1; Cal. Code Regs., tit.14, §15064.5 (b) (CEQA Guidelines §15064.5 (b) ). If there is substantial evidence, in light of the whole record before a lead agency, that a project may have a significant effect on the environment, an Environmental Impact Report (EIR) shall be prepared. (Pub. Resources Code §21080 (d); Cal. Code Regs., tit. 14, § 5064subd.(a)(1) (CEQA Guidelines §15064 (a)(1)).

In order to determine whether a project will cause a substantial adverse change in the significance of a historical resource, a lead agency will need to determine whether there are historical resources within the area of potential effect (APE).

CEQA was amended significantly in 2014. Assembly Bill 52 (Gatto, Chapter 532, Statutes of 2014) (AB 52) amended CEQA to create a separate category of cultural resources, "tribal cultural resources" (Pub. Resources Code §21074) and provides that a project with an effect that may cause a substantial adverse change in the significance of a tribal cultural resource is a project that may have a significant effect on the environment. (Pub. Resources Code §21084.2). Public agencies shall, when feasible, avoid damaging effects to any tribal cultural resource. (Pub. Resources Code §21084.3 (a)). AB 52 applies to any project for which a notice of preparation, a notice of negative declaration, or a mitigated negative declaration is filed on or after July 1, 2015. If your project involves the adoption of or amendment to a general plan or a specific plan, or the designation or proposed designation of open space, on or after March 1, 2005, it may also be subject to Senate Bill 18 (Burton, Chapter 905, Statutes of 2004) (SB 18).

Both SB 18 and AB 52 have tribal consultation requirements. If your project is also subject to the federal National Environmental Policy Act (42 U.S.C. § 4321 et seq.) (NEPA), the tribal consultation requirements of Section 106 of the National Historic Preservation Act of 1966 (154 U.S.C. 300101, 36 C.F.R. §800 et seq.) may also apply.

The NAHC recommends consultation with California Native American tribes that are traditionally and culturally affiliated with the geographic area of your proposed project as early as possible in order to avoid inadvertent discoveries of Native American human remains and best protect tribal cultural resources. Below is a brief summary of portions of AB 52 and SB 18 as well as the NAHC's recommendations for conducting cultural resources assessments.

Consult your legal counsel about compliance with AB 52 and SB 18 as well as compliance with any other applicable laws.

AB 52
AB 52 has added to CEQA the additional requirements listed below, along with many other requirements:

1. Fourteen Day Period to Provide Notice of Completion of an Application/Decision to Undertake a Pro'ect:

Within fourteen (14) days of determining that an application for a project is complete or of a decision by a public agency to undertake a project, a lead agency shall provide formal notification to a designated contact of, or tribal representative of, traditionally and culturally affiliated California Native American tribes that have requested notice, to be accomplished by at least one written notice that includes:
a. A brief description of the project.
b. The lead agency contact information.
c. Notification that the California Native American tribe has 30 days to request consultation. (Pub.

Resources Code §21080.3.1 (d)).
d. A "California Native American tribe" is defined as a Native American tribe located in California that is on the contact list maintained by the NAHC for the purposes of Chapter 905 of Statutes of 2004 (SB 18). (Pub. Resources Code §21073).

2. Begin Consultation Within 30 Days of Receiving a Tribe's Request for Consultation and Before Releasing a Negative Declaration, Mitigated Negative Declaration, or Environmental Impact Report: A lead agency shall begin the consultation process within 30 days of receiving a request for consultation from a California Native American tribe that is traditionally and culturally affiliated with the geographic area of the proposed project. (Pub. Resources Code §21080.3.1, subds. (d) and (e)) and prior to the release of a negative declaration, mitigated negative declaration or Environmental Impact Report. (Pub. Resources Code §21080.3.1(b)). a. For purposes of AB 52, "consultation shall have the same meaning as provided in Gov. Code §65352.4 (SB 18). (Pub. Resources Code §21080.3.1 (b)).

3. Mandatory Topics of Consultation If Requested by a Tribe: The following topics of consultation, if a tribe requests to discuss them, are mandatory topics of consultation:
a. Alternatives to the project.
b. Recommended mitigation measures.
c. Significant effects. (Pub. Resources Code §21080.3.2 (a))

4. Discretionary Topics of Consultation: The following topics are discretionary topics of consultation:
a. Type of environmental review necessary.
b. Significance of the tribal cultural resources.
c. Significance of the project's impacts on tribal cultural resources. d. If necessary, project alternatives or appropriate measures for preservation or mitigation that the tribe may recommend to the lead agency. (Pub. Resources Code §21080.3.2 (a)).

5. Confidentiality of Information Submitted by a Tribe During the Environmental Review Process: With some exceptions, any information, including but not limited to, the location, description, and use of tribal cultural resources submitted by a California Native American tribe during the environmental review process shall not be included in the environmental document or otherwise disclosed by the lead agency or any other public agency to the public, consistent with Government Code §6254 (r) and §6254.10. Any information submitted by a California Native American tribe during the consultation or environmental review process shall be published in a confidential appendix to the environmental document unless the tribe that provided the information consents, in writing, to the disclosure of some or all of the information to the public. (Pub. Resources Code §21082.3 (c) (1)).

6. Discussion of Impacts to Tribal Cultural Resources in the Environmental Document: If a project may have a significant impact on a tribal cultural resource, the lead agency's environmental document shall discuss both of the following:
a. Whether the proposed project has a significant impact on an identified tribal cultural resource. b. Whether feasible alternatives or mitigation measures, including those measures that may be agreed to pursuant to Public Resources Code §21082.3, subdivision (a), avoid or substantially lessen the impact on the identified tribal cultural resource. (Pub. Resources Code §21082.3 (b)).

7. Conclusion of Consultation: Consultation with a tribe shall be considered concluded when either of the following occurs:
a. The parties agree to measures to mitigate or avoid a significant effect, if a significant effect exists, on a tribal cultural resource; or
b. A party, acting in good faith and after reasonable effort, concludes that mutual agreement cannot be reached. (Pub. Resources Code §21080.3.2 (b)).

8. Recommending Mitigation Measures Agreed Upon in Consultation in the Environmental Document: Any mitigation measures agreed upon in the consultation conducted pursuant to Public Resources Code §21080.3.2 shall be recommended for inclusion in the environmental document and in an adopted mitigation monitoring and reporting program, if determined to avoid or lessen the impact pursuant to Public Resources Code §21082.3, subdivision (b), paragraph 2, and shall be fully enforceable. (Pub. Resources Code §21082.3 (a)).

9. Required Consideration of Feasible Mitigation: If mitigation measures recommended by the staff of the lead agency as a result of the consultation process are not included in the environmental document or if there are no agreed upon mitigation measures at the conclusion of consultation, or if consultation does not occur, and if substantial evidence demonstrates that a project will cause a significant effect to a tribal cultural resource, the lead agency shall consider feasible mitigation pursuant to Public Resources Code §21084.3 (b). (Pub. Resources Code §21082.3 (e)).

10. Examples of Mitigation Measures That, If Feasible, May Be Considered to Avoid or Minimize Significant Adverse Impacts to Tribal Cultural Resources:
a. Avoidance and preservation of the resources in place, including, but not limited to:
i. Planning and construction to avoid the resources and protect the cultural and natural context.
ii. Planning greenspace, parks, or other open space, to incorporate the resources with culturally appropriate protection and management criteria.
b. Treating the resource with culturally appropriate dignity, taking into account the tribal cultural values and meaning of the resource, including, but not limited to, the following:
i. Protecting the cultural character and integrity of the resource. ii. Protecting the traditional use of the resource.
iii. Protecting the confidentiality of the resource.
c. Permanent conservation easements or other interests in real property, with culturally appropriate management criteria for the purposes of preserving or utilizing the resources or places. d. Protecting the resource. (Pub. Resource Code §21084.3 (b)). e. Please note that a federally recognized California Native American tribe or a non -federally recognized California Native American tribe that is on the contact list maintained by the NAHC to protect a California prehistoric, archaeological, cultural, spiritual, or ceremonial place may acquire and hold conservation easements if the conservation easement is voluntarily conveyed. (Civ. Code §815.3 (c)). f. Please note that it is the policy of the state that Native American remains and associated grave artifacts shall be repatriated. (Pub. Resources Code §5097.991).

11. Prerequisites for Certifying an Environmental Impact Report or Adopting a Mitigated Negative Declaration or Negative Declaration with a Significant Impact on an Identified Tribal Cultural Resource: An Environmental Impact Report may not be certified, nor may a mitigated negative declaration or a negative declaration be adopted unless one of the following occurs:
a. The consultation process between the tribes and the lead agency has occurred as provided in Public Resources Code §21080.3.1 and §21080.3.2 and concluded pursuant to Public Resources Code §21080.3.2.
b. The tribe that requested consultation failed to provide comments to the lead agency or otherwise failed to engage in the consultation process.
c. The lead agency provided notice of the project to the tribe in compliance with Public Resources Code §21080.3.1 (d) and the tribe failed to request consultation within 30 days. (Pub. Resources Code §21082.3 (d)).

The NAHC's PowerPoint presentation titled, "Tribal Consultation Under AB 52: Requirements and Best Practices" may be found online at: http://nahc.ca.gov/wp-content/uploads/2015/10/AB52TribalConsultationCaIEPAPDF.pdf SB 18
SB 18 applies to local governments and requires local governments to contact, provide notice to, refer plans to, and consult with tribes prior to the adoption or amendment of a general plan or a specific plan, or the designation of open space. (Gov. Code §65352.3). Local governments should consult the Governor's Office of Planning and Research's "Tribal Consultation Guidelines," which can be found online at:
https://www.opr.ca.gov/docs/09 14 05 Updated Guidelines 922.pdf.

Some of SB 18's provisions include:

1. Tribal Consultation: If a local government considers a proposal to adopt or amend a general plan or a specific plan, or to designate open space it is required to contact the appropriate tribes identified by the NAHC by requesting a "Tribal Consultation List." If a tribe, once contacted, requests consultation the local government must consult with the tribe on the plan proposal. A tribe has 90 days from the date of receipt of notification to request consultation unless a shorter timeframe has been agreed to by the tribe. (Gov. Code §65352.3 (a)(2)).

2. No Statutory Time Limit on SB 18 Tribal Consultation. There is no statutory time limit on SB 18 tribal consultation.

3. Confidentiality: Consistent with the guidelines developed and adopted by the Office of Planning and Research pursuant to Gov. Code §65040.2, the city or county shall protect the confidentiality of the information concerning the specific identity, location, character, and use of places, features and objects described in Public Resources Code §5097.9 and §5097.993 that are within the city's or county's jurisdiction. (Gov. Code §65352.3 (b)).

4. Conclusion of SB 18 Tribal Consultation: Consultation should be concluded at the point in which:
a. The parties to the consultation come to a mutual agreement concerning the appropriate measures for preservation or mitigation; or
b. Either the local government or the tribe, acting in good faith and after reasonable effort, concludes that mutual agreement cannot be reached concerning the appropriate measures of preservation or mitigation. (Tribal Consultation Guidelines, Governor's Office of Planning and Research (2005) at p. 18).

Agencies should be aware that neither AB 52 nor SB 18 precludes agencies from initiating tribal consultation with tribes that are traditionally and culturally affiliated with their jurisdictions before the timeframes provided in AB 52 and SB 18. For that reason, we urge you to continue to request Native American Tribal Contact Lists and "Sacred Lands File" searches from the NAHC. The request forms can be found online at: http://nahc.ca.gov/resources/forms/ .

NAHC Recommendations for Cultural Resources Assessments To adequately assess the existence and significance of tribal cultural resources and plan for avoidance, preservation in place, or barring both, mitigation of project -related impacts to tribal cultural resources, the NAHC recommends the following actions:

1. Contact the appropriate regional California Historical Research Information System (CHRIS) Center ( http://ohp.parks.ca.gov/?page id=1068) for an archaeological records search. The records search will determine:
a. If part or all of the APE has been previously surveyed for cultural resources. b. If any known cultural resources have already been recorded on or adjacent to the APE. c. If the probability is low, moderate, or high that cultural resources are located in the APE. d. If a survey is required to determine whether previously unrecorded cultural resources are present.

2. If an archaeological inventory survey is required, the final stage is the preparation of a professional report detailing the findings and recommendations of the records search and field survey. a. The final report containing site forms, site significance, and mitigation measures should be submitted immediately to the planning department. All information regarding site locations, Native American human remains, and associated funerary objects should be in a separate confidential addendum and not be made available for public disclosure.

b. The final written report should be submitted within 3 months after work has been completed to the appropriate regional CHRIS center.

3. Contact the NAHC for:
a. A Sacred Lands File search. Remember that tribes do not always record their sacred sites in the Sacred Lands File, nor are they required to do so. A Sacred Lands File search is not a substitute for consultation with tribes that are traditionally and culturally affiliated with the geographic area of the project's APE.
b. A Native American Tribal Consultation List of appropriate tribes for consultation concerning the project site and to assist in planning for avoidance, preservation in place, or, failing both, mitigation measures.

4. Remember that the lack of surface evidence of archaeological resources (including tribal cultural resources) does not preclude their subsurface existence.
a. Lead agencies should include in their mitigation and monitoring reporting program plan provisions for the identification and evaluation of inadvertently discovered archaeological resources per Cal. Code Regs., tit. 14, §15064.5(f) (CEQA Guidelines §15064.5(f)). In areas of identified archaeological sensitivity, a certified archaeologist and a culturally affiliated Native American with knowledge of cultural resources should monitor all ground -disturbing activities.
b. Lead agencies should include in their mitigation and monitoring reporting program plans provisions for the disposition of recovered cultural items that are not burial associated in consultation with culturally affiliated Native Americans.
c. Lead agencies should include in their mitigation and monitoring reporting program plans provisions for the treatment and disposition of inadvertently discovered Native American human remains. Health and Safety Code §7050.5, Public Resources Code §5097.98, and Cal. Code Regs., tit. 14, §15064.5, subdivisions (d) and (e) (CEQA Guidelines § 15064.5, subds. (d) and (e)) address the processes to be followed in the event of an inadvertent discovery of any Native American human remains and associated grave goods in a location other than a dedicated cemetery.

If you have any questions or need additional information, please contact me at my email address: Nancy.Gonzalez- [email protected].

Sincerely,
Nancy Gonzalez -Lopez
Cultural Resources Analyst
cc: State Clearinghouse

Appendix B
Buildout Methodology

Pismo General Plan/Local Coastal Plan: Methodology for Determining Projected Development at Full Build Out
Used to create the LU-4 Table in the Land Use Element

1. Urban Footprint Base Canvas Assumptions
Urban Footprint's Base Canvas constitutes a baseline assessment of existing land use, demographic characteristics, and other conditions in the City, providing the context for scenario planning and the foundation for analysis of alternative scenarios. The default source for parcel information in Urban Footprint is CoreLogic, which is a leading provider of real estate data in the United States.

2. Determination of Land Uses for Inclusion
This buildout compares existing on -the -ground Base Canvas development to the buildout potential of four General Plan land use categories in the City where change is anticipated, including Commercial, Central Commercial, High Density Residential, Mixed Use, and Public/Semi-Public land uses. Only vacant and underutilized parcels within these designations were selected for potential growth.

3. Creation of Future Assumptions
When generating assumptions for the four land uses, Dudek first looked at the stated requirements or maximums for residential dwelling units per acre (du/ac), floor area ratio (FAR), height, and parking where possible. For each land use, employment and density limits were determined by matching them closely to the average employment and du/ac of current developed parcels within each land use category. An example formula to calculate commercial employment density can be seen below.

Current Commercial Employment Density
Total Commercial Zoned Jobs — Underutilized Commercial Zoned Jobs — Total Commercial Zoned Acres — Underutilized Commercial Zoned Acres) Future assumptions for each land use were built in Urban Footprint using combinations of building components which created numbers closest to the determined employment and residential densities, and that worked to be within FAR, height, and parking requirements. Previous limitations within Urban Footprint required us to match Pismo's land use designations to prescribed building typologies in Urban Footprint, and adjusting them to match as closely as possible with Pismo's land use requirements and growth expectations.

Current standards per the Land Use Element Update and Future Assumptions used in the build out model can be seen for each of the included land uses below.

Current Land Use Density/Intensity Standards
Height**
Implementing
Zone(s)
Total
Acreage
_
Land Use
Designations I
FAR or Density
Coastal Zone/Non-
Coastal Zone
Coastal Zone
Low -Density
Residential
1 to 8 units per ac.
25 feet
R-1, R -R

76.5 Medium -Density
Residential
9 to 15 units per ac.
25 - 35 feet
R-2, R -R
247.5
High -Density
Residential
16 to 30 units per ac.
25 feet
R-3, R -R

22.2 Very High -Density
Residential Overlay
20 to 50 units per ac.
35 — 45 feet***
R-3

1.1 Mobile Home Park
Maximum 8 units to
the acre
M -H

58.5 Commercial
Maximum FAR of 2.0
25 - 42 feet
R-4, R -R, C -R, C-1,
C-2, C -M

32.5 Resort Commercial
Maximum FAR of 1.25
35 feet
RR, R-4, and CR

73.9 Central
Commercial
Maximum FAR of 1.25
35 feet
R-4, R -R, MU

66.4 Mixed -Use
Residential 1.25
maximum
Commercial uses: 2.0
maximum
Determined by
overlay zone
C-1, C-2, MU

57.2 Industrial
Maximum FAR of 0.5
25 feet
C -M

30.2 Public/Semi Public
Maximum FAR of 2.0
25 feet
G
468.38
Open Space
N/A
15 feet*
OS -1, OS -R

32.21 * Consistency with the View Consideration Overlay Zone must be determined for applicable properties ** Coastal height limits are provided to ensure that the scenic and visual qualities of coastal areas are considered and protected consistent with Coastal Act Section 30251. *** Buildings may be up to forty-five (45) feet in height where the Planning Commission finds that significant public views to and along the coast and other scenic areas are protected.

Central Commercial Assumptions
Building Type Name
Central Commercial Pismo (new)
Land Use Category
Commercial centers -
Description
Building Type Summary
Floor area rano- FAR
Residential density (net)
Population density (net)
Employment density (net)

0.58 du/ac
pop/ac

28.49 emp/ac
The Central Commercial land use had a maximum FAR of 1.25, and a maximum height of 35 feet. In looking at the currently built out Central Commercial sites, an FAR of 0.58 was determined to be more in line with what Pismo is likely to see built out, with an employment density of 28.49 employees per acre.

Commercial Assumptions
Building Type Name
Commercial Pismo (new)
Land Use Category
Commercial centers -
Description
Building Type Summary
Floor area ratio - FAR
Residential density (net)
Population density (net)
Employment density (net)

0.31 O du/ac
O pop/ ac

15.8 emp/ac
The Commercial land use had a maximum FAR of 2.0, with maximum heights between 25 and 42. Due to the parking required and often offered at commercial sites and in looking at previously built out Commercial sites, an FAR of 0.31 was determined to be more in line with what Pismo is likely to see built out, with an employment density of 15.8 employees per acre.

High -Density Residential Assumptions
Building Type Name
High -Density Residential
Land Use Category
Multifamily
Description
16-39 units per acre
Building Type Summary
Floor area ratio - FAR
Residential density (net)
Population density (net)
Employment density (net)

0.93 25.6 du/ac

45.71 pop/ac
emp/ac
The High -Density Residential land use had an allowable range of 16-30 du/ac and a maximum height of 25 feet. Within the model, 25.6 du/ac were allotted for this land use.

Mixed -Use Assumptions
Building Type Name
Law -rise Mixed Use Pismo (new)
Land Use Category
Mixed use commercial -
Description
16-30 units per acre
Building Type Summary
Floor area ratio - FAR
Residential density (net)
Population density (net)
Employment density (net)
366

88.67 du/ac
150.03 pop/ac

33.39 emp/ac
The Mixed -Use land use had a maximum FAR of 1.25 for residential and 2.0 for commercial. Height maximums varied based on the overlay zoning. The model's FAR for mixed use is shown to be 3.66, far higher than what is allowed by these regulations. Heights were pre-set within the model and its

components, so to balance this in the model and create a zoning which is within the FAR requirements, vacant space was added to this mixed use zone. This is the equivalent of reducing the building height, and in turn the FAR, because by removing buildable space building volume is reduced to meet standards.

Medium -Density Residential Assumptions
BuitldIng Type Name
Medium -Density Residential
Land Use Category
Single-family detached -
Description
MR
9-15 units per acre
Building Type Summary
Floor area ratio - FAR
Residential density (net)
Population density (net)
Employment density (net)

0.71 15.92 du/ac

32.93 pop/ac
0 emplac
The Medium -Density Residential land use had an allowed range of 9-15 dwelling units per acre, and a maximum height of 25-35 feet. The closest building type in the model to these requirements slightly overshoots these requirements, coming in at 15.92 dwelling units per acre and leading to 32.93 people per acre. Sites that this assumption applied to were only those that are currently vacant (32 sites), as those were decided to be the only parcels in this land use designation that would experience growth.

The slightly increased density is offset by the reduced density in the High -Density Residential designation.

Public/Semi-Public Assumptions
Component Name
anon Pptill[ Lltrary (Male Hranen, Oakland CA)
Land Use Category
Civicfacllitiaa I
Address
Density
Medium -
oakjana,eA
Component Summary
Floor area ratio- FAR
Residential density (net)
Population density (net)
Employment densi0 (net)
osa
o dulac
o pop/ac
687 emp/ac
The Public/Semi-Public land use has a maximum FAR or 2.0, and a maximum height of 25 feet. The closest building type in the model to these requirements is a modified public library, coming in at a 0.53 FAR and 68.7 employees per acre. Only one site was identified for build out.

4. Application of Future Assumptions
Future assumptions were applied to all underutilized and vacant parcels. For the Medium -Density Residential land use, as described above, only vacant parcels had future assumptions applied to them.

The result of this was a "built out" Pismo Beach. Numbers generated and recorded include increases in population, DU, jobs, and non-residential square footage from 2020 to 2040. These increases can be seen on the table below.

Land Use
Number of
Vacant or
Underutilized
Parcels
?
Potential
Increase in
Population
Potential
Increase in
Dwelling Units
Potential
Increase in
Jobs
Commercial
42 N/A
N/A
242
Central
Commercial
26 N/A
N/A
33 Land Use
Number of
Vacant or
Underutilized
Parcels
Potential
Increase in
Population
Potential
Increase in
Dwelling Units
Potential
Increase in
Jobs
High Density
Residential
139
289
162
-12
Mixed Use
48 1,221
722
272
Medium
Density
Residential
32 471
228
0 Public/Semi-
Public
1 -2
-1
10 Total
288
1,979
1,111
545

5. Comparison to SLOCOG Predictions
To compare to SLOCOG employment and dwelling unit predictions, growth per year ratios were utilized.

SLOCOG's predictions are from 2015 to 2030, or a 15 year range. Dudek's predictions are from 2020 to 2040, a 20 year range. Build outs and assumptions were altered to create predictions closer to SLOCOG's predicted growth, while staying within the land use requirements.

The discrepancies between growth predictions can be seen on the table below.

Growth Comparisons
Increase in DU
Increase in Jobs
Dudek Growth Per Year

55.5 25.8
SLOCOG Growth Per Year

47.7 27.4
Dudek's current methodology assumes a 100% build out for the identified underutilized and vacant parcels.

Appendix C
Noise Element Technical Background Report

CITY OF PISMO BEACH
GENERAL PLAN NOISE ELEMENT UPDATE 2020

TECHNICAL BACKGROUND REPORT

Technical Background Report
1 Acoustics Principles

1.1 Sound and Environmental Noise
Acoustics is the science of sound. Sound can be described as the energy of a vibrating object transmitted by pressure waves through a medium (e.g., air) to human (or animal) ear. If the pressure variations occur frequently enough (at least 20 times per second), they can be heard and are called sound. The number of pressure variations per second is called the frequency of sound and is expressed as cycles per second, or hertz (Hz). As an example of this phenomenon, a person speaking creates energy through vibration of the vocal chords, pressure waves caused from this vibration are carried through the air to a nearby listener's ear, where they are detected as the sound of a human voice.

The speed of sound in air is approximately 770 miles per hour, or 1,130 feet/second. Knowing the speed and frequency of a sound, one may calculate its wavelength, the physical distance in air from one compression of the atmosphere to the next. An understanding of wavelength is useful in evaluating the effectiveness of physical sound control devices such as mufflers or barriers, which depend upon either absorbing or blocking sound waves to reduce sound levels.

Noise is defined as loud, unexpected, or annoying sound. The fundamental acoustics model consists of a noise source, receptor, and the propagation path between the two. The loudness of the noise source, obstructions, or atmospheric factors affecting the propagation path, determine the perceived sound level and noise characteristics at the receptor. Acoustics deal primarily with the propagation and control of sound. A typical noise environment consists of ambient noise that is the sum of many distant and indistinguishable noise sources.

Superimposed on this ambient noise is the sound from individual local sources. These sources can vary from an occasional aircraft or train passing by to continuous noise from traffic on a major highway. Perceptions of sound and noise are highly subjective from person to person.

Measuring sound directly in terms of pressure would require a large range of numbers. To avoid this, the decibel (dB) scale was devised. The dB scale uses the hearing threshold of 20 micropascals (µPa) as a point of reference, defined as 0 dB. Other sound pressures are then compared to this reference pressure, and the logarithm is taken to keep the numbers in a practical range. The dB scale allows a million -fold increase in pressure to be expressed as 120 dB; another useful aspect of the decibel scale is that changes in levels (dB) are uniform throughout the scale, which corresponds closely to human perception of relative loudness.

1.2 Noise Descriptors
The dB scale alone does not adequately characterize how humans perceive noise. The dominant frequencies of a sound have a substantial effect on the human response to that sound. Several rating scales have been developed to analyze the adverse effect of community noise on people. Because environmental noise fluctuates over time, these scales consider that the effect of noise on people is largely dependent on the total acoustical energy content of the noise, as well as the time of day when the noise occurs. The equivalent noise level (Leq) is the average noise level averaged over the measurement period, while the day -night noise level (Ldn) and Community Equivalent Noise Level (CNEL) are measures of energy average during a 24 -hour period, with dB weighted sound levels from 7:00 PM to 7:00 AM Most commonly, environmental sounds are described in terms of Leq that has the same acoustical energy as the summation of all the time -varying events.

Pismo Beach Noise Element Update October 2021
1 Technical Background Report

1.3 Metrics Used in Noise Assessment
A -Weighted Decibel Scale
The A weighted decibel (dBA) sound level scale gives greater weight to the frequencies of sound to which the human ear is most sensitive. Because sound levels can vary markedly over a short period of time, a method for describing either the average character of the sound or the statistical behavior of the variations must be used.

Most commonly, environmental sounds are described in terms of an average level that has the same acoustical energy as the summation of all the time -varying events.

The scientific instrument used to measure noise is the sound level meter. Sound level meters can accurately measure environmental noise levels to within about plus or minus 1 dBA. Various computer models are used to predict environmental noise levels from sources, such as roadways and airports. The accuracy of the predicted models depends on the distance between the receptor and the noise source.

The perceived loudness of sounds is dependent on many factors, including sound pressure level and frequency content. However, within the usual range of environmental noise levels, perception of loudness is relatively predictable and can be approximated by dBA values. There is a strong correlation between dBA and the way the human ear perceives sound. For this reason, the dBA has become the standard tool of environmental noise assessment. All noise levels reported in this document are in terms of dBA, but are expressed as dB, unless otherwise noted.

Addition of Decibels
The dB scale is logarithmic, not linear, and therefore sound levels cannot be added or subtracted through ordinary arithmetic. Two sound levels 10 dB apart differ in acoustic energy by a factor of 10. When the standard logarithmic dB is A -weighted, an increase of 10 dBA is generally perceived as a doubling in loudness. For example, a 70-dBA sound is half as loud as an 80-dBA sound and twice as loud as a 60-dBA sound (Caltrans 2013). When two identical sources are each producing sound of the same loudness, the resulting sound level at a given distance would be 3 dBA higher than one source under the same conditions. Under the dB scale, three sources of equal loudness together would produce an increase of approximately 5 dBA. (Caltrans 2013) Sound Propagation and Attenuation
Sound spreads (propagates uniformly outward in a spherical pattern, and the sound level decreases (attenuates) at a rate of approximately 6 dB for each doubling of distance from a stationary or point source. Sound from a line source, such as a highway, propagates outward in a cylindrical pattern. Sound levels attenuate at a rate of approximately 3 dB for each doubling of distance from a line source, such as a roadway, depending on ground surface characteristics (Caltrans 2013). No excess attenuation is assumed for hard surfaces like a parking lot or a body of water. Soft surfaces, such as soft dirt or grass, can absorb sound, so an excess ground -attenuation value of 1.5 dB per doubling of distance is normally assumed. Thus, soft -site attenuation from a point source is at a rate of 7.5 dB for each doubling of distance, while soft -site attenuation from a line source is 4.5 dB per each doubling of distance (Caltrans 2013).

Noise levels may also be reduced by intervening structures; generally, a single row of buildings between the receptor and the noise source reduces the noise level by about 5 dBA, while a solid wall or berm reduces noise levels by 5 to 10 dBA (Cowan 1994). The way older homes in California were constructed generally provides a Pismo Beach Noise Element Update October 2021
2 Technical Background Report
reduction of exterior -to -interior noise levels of about 20 to 25 dBA with closed windows. The exterior -to -interior reduction of newer residential units is generally 30 dBA or more (HUD 2009).

1.4 Human Response to Noise
The human response to environmental noise is subjective and varies considerably from individual to individual.

Noise in the community has often been cited as a health problem, not in terms of actual physiological damage, such as hearing impairment, but in terms of inhibiting general well-being and contributing to undue stress and annoyance. The health effects of noise in the community arise from interference with human activities, including sleep, speech, recreation, and tasks that demand concentration or coordination. When community noise interferes with human activities or contributes to stress, public annoyance with the noise source increases, and the acceptability of the environment for people decreases. This decrease in acceptability and the threat to public well-being is the basis for land use planning policies directed towards the prevention of exposure to excessive community noise levels. Hearing loss can occur at the highest noise intensity levels.

Noise environments and consequences of human activities are usually well represented by median noise levels during the day or night or over a 24 -hour period. Environmental noise levels are generally considered low when the CNEL is below 60 dBA, moderate in the 60 to 70 dBA range, and high above 70 dBA. Examples of low daytime levels are isolated, natural settings with noise levels as low as 20 dBA and quiet, suburban, residential streets with noise levels around 40 dBA (Cowan 1994). Interior noise levels above 45 dBA at night can disrupt sleep.

Examples of moderate -level noise environments are urban residential or semi -commercial areas (typically 55 to 60 dBA) and commercial locations (typically 60 dBA). People may consider louder environments adverse, but most will accept the higher levels associated with noisier urban residential or residential -commercial areas (60 to 75 dBA) or dense urban or industrial areas (65 to 80 dBA). Regarding increases in dBA, the following relationships should be noted (Caltrans 2013).
• Except in carefully controlled laboratory experiments, a 1-dBA change cannot be perceived by humans.
• Outside of the laboratory, a 3-dBA change is considered a just -perceivable difference. • A minimum 5-dBA change is required before any noticeable change in community response would be expected. A 5-dBA increase is typically considered substantial. • A 10-dBA change is subjectively heard as an approximate doubling in loudness and would almost certainly cause an adverse change in community response.

Health Effects of Noise on People
Hearing Loss. While physical damage to the ear from an intense noise impulse is rare, a degradation of auditory acuity can occur even within a community noise environment. Hearing loss occurs mainly due to chronic exposure to excessive noise but may be due to a single event such as an explosion. Natural hearing loss associated with aging may also be accelerated from chronic exposure to loud noise. The Occupational Safety and Health Administration has a noise exposure standard that is set at the noise threshold where hearing loss may occur from long-term exposures. The maximum allowable level is 90 dBA averaged over 8 hours. If the noise is above 90 dBA, the allowable exposure time is correspondingly shorter.

Pismo Beach Noise Element Update October 2021
3 Technical Background Report
Annoyance. Attitude surveys are used for measuring the annoyance felt in a community for noises intruding into homes or affecting outdoor activity areas. In these surveys, it was determined that causes for annoyance include interference with speech, radio and television, house vibrations, and interference with sleep and rest. The Ldn as a measure of noise has been found to provide a valid correlation of noise level and the percentage of people annoyed. People have been asked to judge the annoyance caused by aircraft noise and ground transportation noise. There continues to be disagreement about the relative annoyance of these different sources. A noise level of about 55 dBA Ldn is the threshold at which a substantial percentage of people begin to report annoyance (FICON 1992).
2 Community Noise Survey

2.1 Description of Major Noise Sources in the Community

2.1.1 Transportation Noise Sources
Aviation
The nearest public airports to the study area are the San Luis Obispo County Regional Airport located approximately 5 miles due northwest, and the Oceano County Airport located approximately 2 miles to the south.

According to the Airport Land Use Plan (ALUP 2005) the mapped 60 dB noise contour for the San Luis Obispo County Regional Airport extends no further than 1,000 feet from the runways in the direction of Pismo Beach; this 60 dB contour is therefore located more than 4.5 miles from Pismo Beach. According to the ALUP for Ocean County Airport (ALUP 2007), the 65 dB noise contour for Oceano Airport extends no closer to Pismo Beach than approximately Farroll Road in Grover Beach (approximately one mile south of the Pismo Beach City limits). High - altitude overflights for aircraft using the San Luis Obispo County Airport occur over the study area, but do not contribute to the ambient noise environment within the study area. Consequently the Pismo Beach noise environment is not affected by aircraft operations associated with airport facilities in the region.

Roadways
Highways are a major noise source in many jurisdictions, and they are the primary means of circulation throughout Pismo Beach. Pismo Beach is primarily subject to noise impacts from US Highway 101 and State Route 1. US Highway 101 roughly bisects Pismo Beach in the southern and central portions of the City, and is aligned along the east side of urban development in the northern portion of the City. The relatively central alignment of US Highway 101 means that traffic noise from this facility affects much of the area within the City.

State Route 1 is a separate two-lane at grade highway only within the southern section of the City, joining with US Highway 101 in the vicinity of Pismo Preserve. State Route 1 generally bisects the western urban areas of the City between US Highway 101 and the beach. With more limited traffic and only two travel lanes, noise from Route 1 is not as extensive as that from US Highway 101. One short-term noise measurement and manual traffic counts were conducted for each of these highways to characterize existing noise levels.

Major arterial roadways in Pismo Beach also contribute traffic noise to the ambient noise environment. While traffic speeds are lower on these facilities than on highways, setback distances from travel lanes to adjacent uses tend to be less, and therefore noise from arterial roadways can result in unacceptably high noise levels at adjacent noise -sensitive land uses. Dudek completed a short-term noise measurement and manual traffic counts Pismo Beach Noise Element Update October 2021
4 Technical Background Report
for Ocean Boulevard, North 4th Street, Mattie Road, North Oak Boulevard, Price Canyon Road, and Shell Beach Road, to characterize existing traffic noise levels along these roadways.

Railroads
The Union Pacific Railroad (UPRR) owns rail lines that traverse Pismo Beach, carrying UPRR freight trains and Amtrak passenger trains. The UPRR line extends from the Bello Street industrial area at the City's northern boundary, due south to the vicinity of Pismo State Beach before continuing on to Grover Beach.

Although train noise is intermittent, it is a significant source of noise due to its magnitude and associated vibration effects. Train noise is comprised of the sounds of the locomotive engine, wheel -on -rail noise, and train whistles near at -grade roadway crossings. For train horns to be an effective warning device for motorists, they must provide a sound level capable of initiating a response from the driver as the train approaches the crossing.

Dudek completed a 24 -hour continuous sound level measurement adjacent to the UPRR alignment in order to characterize community noise levels associated with train operations.

2.1.2 Industrial - Commercial Noise Sources
Industrial Sources
Noise from industrial businesses and large stationary sources varies but can result in substantially elevated noise levels and impacts on adjacent noise -sensitive land uses. Industrial operations often involve the use of mechanical equipment, generators, and vehicles that contribute to noise levels at industrial sites, particularly if operations occur outdoors. Pismo Beach has one area designated for industrial uses; the area is situated east of Price Canyon Road, generally north of Bello Street, and along the west side of the UPRR alignment (described above). Currently this area serves as storage and staging for Pacific Gas and Electric. Dudek conducted a 24 -hour measurement near the closest residences west of this industrial area to characterize community noise levels from industrial operations.

Commercial Sources
Most of the commercial businesses in Pismo Beach are aligned along Price Street, Shell Beach Road, 5 Cities Drive, and Hinds Avenue/Price Canyon Road. The Pismo Beach Premium Outlets represents the largest commercial use, by size and in relation to traffic generation. As a major commercial land use and stationary noise source, Dudek completed a 24 -hour measurement near the closest residences south of Pismo Beach Premium Outlets area to characterize community noise levels from major commercial retail operations.

2.2 Existing Noise Levels

2.2.1 Sound Level Measurement Program
Existing noise conditions present in the City of Pismo Beach were inventoried by Dudek in October 2019. Two types of sound -level measurements were taken: short-term (varying from 5 to 30 minutes) measurements were performed along highways and major local roadways to characterize noise levels associated with transportation facilities and for calibration of the transportation noise model; and, 24 -hour measurements were performed Pismo Beach Noise Element Update October 2021
5 Technical Background Report
adjacent to the railroad, in the vicinity of the Price Canyon Road industrial area, and adjacent to the Pismo Beach Premium outlets. Noise measurement location points are illustrated in Exhibit 1 (at the back of this report).

Sound -level measurements were performed using two different integrating sound -level meters: A Rion Model NL- 32 (American National Standards Institute [ANSI] Type I), and three SoftdB Piccolo II Model (ANSI Type II). ANSI Type I and Type II sound -level meters both have sufficient accuracy to be used for environmental noise evaluation.

The sound -level meters were calibrated before and after each series of measurements using a Rion Model NC -74 calibrator.

SHORT-TERM MEASUREMENTS
Roadway Sound Level Measurements
Since roadway traffic is often a primary contributor to the noise environment in any community, short-term noise measurements were conducted adjacent to selected existing roadways within Pismo Beach. These measurements are useful in characterizing ambient noise levels along roadways, as well as providing sound data and manual traffic counts used to calibrate the transportation noise model. A total of 10 short-term noise measurements were conducted. The results of short-term roadway traffic noise measurements are presented in Table 1. Field data for each short-term sound level measurement are provided in Attachment 1 (Short-term Noise Measurements Field Data Sheets), including measured sound levels, manual traffic count results, distance from the roadway edge to the measurement point, vehicle speed on the roadway, and measurement point identification.

Table 1
Roadway Noise Level Measurements (Existing) (dBA)
ST #
Date
Measured
Measurement
Time Period
Leg
Lmax
Lmin
Roadway
1 10/22/19
11:35 - 11:50
55 62
50 Seacliff Drive (between Paddock & Baker)
2 12:30 - 12:45
54 61
49 Ocean Blvd. (between Palisade & Seaview)
3 14:05 - 14:20
43 46
41 Dugan Road. (between Christine & Elaine)
4 9:40 - 9:45
72 76
69 US Highway 101 (at southbound 5 Cities Drive ramps)
5 13:00 - 13:10
69 83
51 State Route 1 (between Park & Addie)
6 10:10 - 10:20
73 82
49 North 4th Street (south of 5 Cities Drive)
7 10:50 - 11:20
66 80
62 Mattie Road (between Foothill and Bayfront)
8 13:50 - 14:00
67 79
45 North Oak Park Blvd. (south of Dell Ct.)
9 13:20 - 13:30
71 86
48 Price Canyon Road. (south of Meadowlark)
10 12:00 - 12:15
66 83
55 Shell Beach Road. (south of Ebb Tide Lane)
Traffic noise measurements (short-term) were collected using the Rion NL-32 ANSI Type I Meter. The meter was placed on a tri-pod at approximately five feet above the ground, in accordance with the ANSI standard for environmental noise measurements. The sound level meter was oriented toward the adjacent street, and a windscreen was employed. The distance from the edge of the pavement to the sound level meter was noted in the field data sheet for each measurement location. The number of cars, medium trucks, and heavy trucks Pismo Beach Noise Element Update
October 2021
6 Technical Background Report
passing the measurement point during the measurement period were tallied, along with identification of the posted speed limit for the roadway. The duration was noted for each measurement, and sound levels including Leq. Lmax, Lmin, and other percentile statistics were recorded on the data sheet for each measurement location (Refer to Attachment 1). The measurement identifications (ST#) in Table 1 correspond to locations illustrated in Exhibit 1 for these short-term measurements.

As presented in Table 1, recorded traffic noise levels range from a high of 73 dBA Leq to a low of 43 dBA Leq. The highest traffic noise levels are associated with US Highway 101, North 4th Street, and Price Canyon Road, with each of these roadways carrying a large number of vehicles at higher speeds. Dugan Road (LT3) had the lowest recorded noise level, and there were also no vehicles that passed the measurement point during the measurement. There were also no vehicles that passed the measurement point on Seacliff Drive (LT1) during the measurement, but background surf noise was dominant at this measurement point along the sea cliff, resulting in a moderate recorded noise level of 55 dBA Leq.

LONG-TERM MEASUREMENTS
Dudek completed a total of three long-term (24 -hour) measurements to characterize environmental noise associated with industrial, commercial, and railroad operations. Long term measurement locations (LT#) are indicated on Exhibit 1 (at the end of this report). Measurements were conducted using three SoftdB Piccolo II Model (ANSI Type II) sound level meters. The measurements were unattended, but locked cases were employed to prevent tampering of the meters. The Piccolo meters were calibrated before and after the 24 -hour measurements to verify accuracy.

The Piccolo meters were configured to record data each hour (using a one -hour averaging period) across the entire 24 -hour measurement. Sound level metrics including Leq. Lmax, Lmin, and other percentile statistics were recorded for each hourly period. Data logs for each long term measurement location are included in Attachment

3. Based on the recorded hourly averages at each long-term measurement location, the CNEL was calculated at these monitoring locations; a CNEL worksheet for each location is also provided in Attachment 3.

Table 2 summarizes the minimum (Lmin) and maximum (Lmax) sound levels recorded for each monitor location during the 24 -hour measurement, as well as the calculated 24 -hour weighted average noise level (CNEL). The sound monitor location description and source being measured are also provided in Table 2 for each monitor location. More detail about each monitoring location is provided below Table 2.

Table 2
Ambient Sound Level Measurements (dBA)
Site
Location
Noise Sources
Dates
CNEL
Lmax
Lmin
LT1
Closest residences west of Price
Canyon Industrial Area
Price Canyon Industrial Area
10/22/19 -
10/23/19
56 82.5

37.1 LT2
Adjacent to UPRR alignment,
vicinity of Park View Avenue
UPRR train operations
10/22/19 -
10/23/19
66 94.9
43 LT3
Near closest residences, southwest
corner of Pismo Premium Outlets
Pismo Premium Outlets
10/22/19 -
10/23/19
64 92.7

43.1 Pismo Beach Noise Element Update
October 2021
7 Technical Background Report
Industrial Noise Sources (LT1)
The only area designated for industrial uses within Pismo Beach is located along the west side of the UPRR alignment, north of Bello Street, and east of Price Canyon Road. To characterize industrial noise levels, a 24 -hour measurement was conducted along Dell Court, between two widely -spaced residences closest to the western boundary of the industrial area (LT1 on Exhibit 1). The measurement location is approximately 300 feet from the western boundary of the industrial area. A 56 dBA CNEL at this location was determined from hourly average noise levels. Using this CNEL value and separation distance from the industrial area, the distance to the 70, 65 and 60 CNEL contours was calculated. This calculation was based upon outdoor attenuation rates of 6 dBA per doubling of distance for a point source. This calculation ignores topography, the presence of structures or walls, and the presence of vegetation, and is therefore very conservative (i.e., the presence of topography between the industrial uses and receivers would partially or fully block the propagation of sound, reducing the distance from the industrial noise source to the calculated noise contour boundary). The distance to the 70, 65, and 60 dBA CNEL contour associated with the industrial area operations is reported in Table C (Attachment 2).

Railroad Noise Sources (LT2)
To characterize community noise levels from rail (train) operations, a 24 -hour measurement was conducted along the UPRR tracks, in the vicinity of Park View Avenue (LT2 on Exhibit 1). The measurement location is approximately 40 feet from the center of the tracks. A 66 dBA CNEL at this location was determined from hourly average noise levels. Using this CNEL value and separation distance from the industrial area, the distance to the 70, 65 and 60 CNEL contours was calculated. This calculation was based upon outdoor attenuation rates of 3 dBA per doubling of distance for a line source. This calculation is a conservative worst -case distance, ignoring topography, the presence of structures or walls, and the presence of vegetation. The distance to the 70, 65, and 60 dBA CNEL contour associated with UPRR operations is reported in Table C (Attachment 2).

Commercial Noise Sources (LT3)
The Pismo Beach Premium Outlets represents the largest commercial use, by size and in relation to traffic generation. To characterize noise levels associated with major commercial operations, a 24 -hour measurement was conducted at the southwest corner of the Pismo Premium Outlets, near the closest adjacent residences (LT3 on Exhibit 1). The measurement location is approximately 55 feet from the southern boundary of the Pismo Premium Outlets site. A 64 dBA CNEL at this location was determined from hourly average noise levels. Using this CNEL value and separation distance from the commercial retail operations, the distance to the 70, 65 and 60 CNEL contours was calculated. This calculation was based upon outdoor attenuation rates of 6 dBA per doubling of distance for a point source. This calculation is a conservative worst -case distance, ignoring topography, the presence of structures or walls, and the presence of vegetation. The distance to the 70, 65, and 60 dBA CNEL contour associated with UPRR operations is reported in Table C (Attachment 2).

2.2.2 Traffic Noise Modeling (Existing Conditions)
The traffic noise levels presented in Table 1 are the average noise level (Leq) over the period of the measurement.

In order to determine the CNEL associated with current traffic volumes, traffic modeling is performed. The existing CNEL was calculated for each of the roadways represented by the short-term measurement locations, except for ST1 and ST3. The roadway segments adjacent to ST1 and ST3 had no traffic occurring during the measurement, and no published traffic data exists for these roads (Seacliff Drive and Dugan Road). As such, ST1 and ST3 are representative of ambient noise levels in residential areas removed from major transportation noise Pismo Beach Noise Element Update October 2021
8 Technical Background Report
sources. Adjacent to the ocean, residences can expect a background level of approximately 55 dBA Leq.hourly; in areas removed from both the ocean and US Highway 101, residential neighborhood noise levels are as low as 43 dBA Leq.hourly.

Traffic counts, vehicle speeds, roadway configuration, and noise levels recorded during the short-term measurement at ST2 and at ST4 through ST10 were used to set up and calibrate the TNM 2.5 Traffic Noise Model (FHWA 2004) in order to model existing traffic noise (CNEL) along the roadway segments adjacent to these measurement points. In accordance with FHWA guidelines for TNM 2.5, the counted vehicles at each measurement point were normalized to a one -hour volume (for example if the measurement period was for thirty minutes, the counted number of vehicles was doubled to account for vehicles passing the measurement point during a 60 -minute period). The normalized traffic volume, vehicle composition ratios, vehicle speeds, and lane configurations recorded during the noise measurement at each location were used to calibrate the model and verify the input used in the noise model. The modeled Leq for short-term measurement locations are within one dB of the measured noise levels. This result generally confirms the assumptions used in the noise model.

The calibrated noise model was then run using "existing" average daily trip (ADT) for each of the selected highway and roadway segments. The existing scenario input ADT data for the model runs in presented in Attachment 2 (Table A - Traffic Count Data and Future Traffic Volume Forecast Summary), including the identification of sources for the "existing" scenario ADT data. The calculated existing CNEL for each selected highway and roadway segment is also presented in Attachment 2 (Table B - Traffic Noise Levels and Noise Contour Boundary Distances). The TNM 2.5 model runs used a uniform distance of 50 feet from the centerline of US Highway 101, and 25 feet from the center -line of all other roadways. The CNEL values at this uniform distance are reported in Table B.

The modeled CNEL at a given distance of 50 feet (US Highway 101) or 25 feet (all other roadways) from the roadway was then used to calculate the distance from the roadway center -line to the boundary of the 70, 65, and 60 dBA CNEL contours. This calculation was based upon outdoor attenuation rates of 3 dBA per doubling of distance for a line source. This calculation ignores topography, the presence of structures or walls, and the presence of vegetation, and is therefore very conservative (i.e., the presence of buildings along a roadway would partially or fully block the propagation of sound, reducing the distance from the roadway to the calculated noise contour boundary). The distance to the 70, 65, and 60 dBA CNEL contour is also reported in Table B.

2.3 Predicted Future Noise Levels
Roadway transportation represents the most important and pervasive noise source for a compact community such as Pismo Beach. Therefore, the prediction of future community noise levels in Pismo Beach rests heavily on modeling of traffic noise associated with ADT forecasts pertaining to major local roadways and highways. For freeways and highways, Dudek used the Citywide Transportation Model and Circulation Study, Final Report (Pismo Beach 2016) ADT to the year 2035 for each of the selected highway segments. In order to extend the forecast to Year 2040, Dudek applied the annual growth rate indicated in the 2019 Regional Transportation Plan (SLOCOG 2019). The RTP identifies an annual growth rate of 0.053%, which Dudek applied to the 2035 ADT values in the Circulation Study, to increment the predicted ADT values to the Year 2040. For local street segment volumes, Dudek used 2040 forecasted peak intersection volume data for local streets in the Pismo Beach Circulation Element Update, Final Report (GHD September 2021)
Pismo Beach Noise Element Update October 2021
9 Technical Background Report
The calibrated noise model was then run using the calculated Year 2040 ADT data (described above) for each of the selected highway and roadway segments. The Year 2040 scenario input ADT data for the model runs in presented in Attachment 2 (Table A - Traffic Count Data and Future Traffic Volume Forecast Summary). Notes in the table identify the sources for the forecasted ADT data in the table. The calculated Year 2040 CNEL for each selected highway and roadway segment is also presented in Attachment 2 (Table B - Traffic Noise Levels and Noise Contour Boundary Distances). The TNM 2.5 model runs used a uniform distance of 50 feet from the centerline of US Highway 101, and 25 feet from the center -line of all other roadways. The modeled Year 2040 CNEL values at this uniform distance are reported in Table B.

The modeled Year 2040 CNEL at a given distance of 50 feet (US Highway 101) or 25 feet (all other roadways) from the roadway was then used to calculate the distance from the roadway center -line to the boundary of the 70, 65, and 60 dBA CNEL contours. This calculation was based upon outdoor attenuation rates of 3 dBA per doubling of distance for a line source. This calculation is a conservative worst -case distance, ignoring topography, the presence of structures or walls, and the presence of vegetation. The distance to the 70, 65, and 60 dBA CNEL contour is also reported in Table B.

Pismo Beach Noise Element Update October 2021
10 Technical Background Report
3 References Cited
Airport Land Use Commission of San Luis Obispo County. 2005. Airport Land Use Plan for the San Luis Obispo County Regional Airport, May 18, 2005.

Airport Land Use Commission of San Luis Obispo County. 2007. Airport Land Use Plan for the Oceano County Airport, May 16, 2007.

California Department of Transportation (Caltrans), 1987, California Vehicle Noise Emission Levels, (FHWA/CA/TL-87/03).

California Department of Transportation. 2011. Traffic Noise Analysis Protocol.

California Department of Transportation. 2013. Technical Noise Supplement to the Traffic Noise Analysis Protocol.

City of Pismo Beach. 2016 . City of Pismo Beach Citywide Transportation Model and Circulation Study, Final Report, August 23, 2016.

City of Pismo Beach. 2018. Pismo Beach General Plan Circulation Element Update Initial Study/Mitigated Negative Declaration (IS/MND). March 2018
Cowan, James P. 1994. Handbook of Environmental Acoustics Federal Highway Administration (FHWA), 2004, Traffic Noise Model Version 2.5 (TNM 2.5) Federal Interagency Committee on Noise (FICON), Federal Agency Review of Selected Airport Noise Analysis Issues, August 1992
GHD Inc. 2021. Pismo Beach Circulation Element Final Report. September 2021 HUD, Noise Guidebook, 2009. Available at: https://www.hudexchange.info/resource/313/hud-noise-guidebook/ San Luis Obispo Council of Governments (SLOCOG). 2019. Regional Transportation Plan Pismo Beach Noise Element Update October 2021
11 O Pismo Beach City Limit
Noise Measurement Location
0 LT - Long Term Measurement
L- ST - Short Term Measurement
SOURCE: NAIP 2016; San Luis Obispo County 2019
DUDEK
1,200 2,400
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EXHIBIT 1
Noise Measurement Locations
Pismo Beach Noise Element Update 0 Background Technical Report

Technical Background Report

INTENTIONALLY LEFT BLANK
Pismo Beach Noise Element Update October 2021
13 Technical Background Report
ATTACHMENT 1

FIELD DATA SHEETS - SHORT TERM MEASUREMENTS
Pismo Beach Noise Element Update October 2021
14 FIELD NOISE MEASUREMENT DATA
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`IS iS 5`1,° -10.2

SOURCE INFO AND TRAFFIC COUNTS
PRIMARY NOISE SOURCE • AFFI
ROADWAY TYPE: A -T \(A, L -
TRAFFIC COUNT DURATION:_ MIN

DIRECTION NB/EB SB/WB

AIRCRAFT RAIL INDUSTRIAL
DIST. TO RDWY C/L OR OP:

AUTOS
z o MED TRKS
p cc HVYTRKS
0 BUSES
MOTRCLS 0
SPEEDS ESTIMATED BY: RADAR / DRIVING THE PACE
POSTED SPEED LIMIT SIGNS SAY: Li S
SPEED

NB/EB SB/WB

IF COUNTING
BOTH

DIRECTIONS

AS ONE,

CHECK HERE
I -
Z
0 U
r
cc
cc
0 OTHER:
)DI err,: F LAtiE

MIN SPEED

NB/EB SB/WB NB/EB SB/WB
OTHER NOISE SOURCES (BACKGROUND): DIST. AIRCRAFT RUSTLING LEAVES DIST. BARKING DOGS BIRDS DIST. INDUSTRIAL DIST. KIDS PLAYING DIST. CONVRSTNS / YELLING DIST. TRAFFIC (LIST RDWYS BELOW) DISTD GARDENERS/LANDSCAPING NOISE OTHER:

DESCRIPTION / SKETCH
TERRAIN (HARD 3 SOFT
PHOTOS
MIXED FLAT OTHER:

OTHER COMMENTS / SKETCH
_ . ... -. ...,r_.._ _4_.._......,._.._.

PROJECT

SITE ID

SITE ADDRESS

START DATE

START TIME

FIELD NOISE MEASUREMENT DATA
.?11-.11\0
DUDEK
51 -1
6/2. END DATE
(0 . 50 END TIME
irJ�I7�
(I:v0
PROJECT #

OBSERVER(S)

METEOROLOGICAL CONDITIONS
TEMP '7 2 F HUMIDITY 3 [v %R.H. WIND CALM LIG MODERATE
WINDSPD 3 MPH DIR. N Q 5 SE S SW W NW VARIABLE TEAD GUSTY

SKY CSUNN' TEEAR') OVRCAST PRTLY CLDY FOG RAIN

ACOUSTIC MEASUREMENTS
MEAS. INSTRUMENT

CALIBRATOR

CALIBRATION CHECK

SETTINGS A -W
REC. #

COMMENTS
"
I -
PRE -MEASUREMENT CL'{ dBA SPL
TYPE � 22 SERIAL # D1O"JoS lol
SERIAL # 3c1Co185
POST -MEASUREMENT 01 dBA SPL WINDSCRN
FAST RONTA RANDOM ANSI OTHER:

BEGIN END Leq Lmax Lmin L90 L50 110 OTHER (SPECIFY METRIC ►O'. \1'.Zo b5 1 141 ig S 1 2

SOURCE INFO AND TRAFFIC COUNTS

PRIMARY NOISE SOURCE
ROADWAY TYPE:

AIRCRAFT RAIL INDUSTRIAL OTHER.

TRAFFIC COUNT DURATION: MIN SPEED

DIRECTION NB/EB SB/WB NB/EB SB/WB
`-1 AUTOS 3F,
MED TRKS C>
p HVY TRKS 0
O BUSES 0

MOTRCLS
SPEEDS ESTIMATED BY: RADAR / DRIVING THE PACE
POSTED SPEED rnrtl L5 SnY: '5
DIST. TO RDWY C/L OR

IF COUNTING
BOTH

DIRECTIONS

AS ONE ,

CHECK HERE
x
N
I -
Z
0 U
C]
K
cc
0 q1

MIN SPEED

NB/EB SB/WB NB/EB SB/WB
OTHER NOISE SOURCES (BACKGROUND): DIST. AIRCRAFT RUSTLING LEAVES DIST. BARKING DOGS BIRDS DIST INDUSTRIAL DIST. KIDS PLAYING DIST. CONVRSTNS / YELLING DIST. TRAFFIC (LIST RDWYS BELOW) DISTD GARDENERS/LANDSCAPING NOISE OTHER: US 1

DESCRIPTION / SKETCH

TERRAIN
PHOTOS
'aft
SOFT MIXED FLAT OTHER:
41el r' 0 -

OTHER COMMENTS / SKETCH
— i

FIELD NOISE MEASUREMENT DATA
DUDEK

PROJECT

SITE ID
el -
SITE ADDRESS (j, oo, t r- -' . F'!.."[]
START DATE p ra,f ?, END DATE

START TIME END TIME
PROJECT #

OBSERVER(S)

METEOROLOGICAL CONDITIONS
TEMP F

WINDSPD MPH

SKY SUNNY CLEAR

ACOUSTIC MEASUREMENTS
MEAS. INSTRUMENT

CALIBRATOR
HUMIDITY % R.H.

DIR. N NE S SE S SW W NW

OVRCAST PRTLY CLDY FOG RAIN
Du k)L
'RIM) /JC—
CALIBRATION CHECK PRE -MEASUREMENT dBA SPL
SETTINGS A-WTD SLOW FAST FRONTAL RANDOM ANSI OTHER:

REC. # BEGIN END Leg Lmax Lmin L90 L50 L10 OTHER (SPECIFY METRIC 16,1 i9•te (o33 71 ,3
TYPE (:J 2

WIND CALM LIGHT MODERATE

VARIABLE STEADY GUSTY
SERIAL# 0103C,S1R1
SERIAL# 391.05
dBA SPL WINDSCRN y�

COMMENTS
) ; S 0 1 Y.:$.0 (iT ,'5 19 .1

POST -MEASUREMENT

SOURCE INFO AND TRAFFIC COUNTS

PRIMARY NOISE SOURCE
ROADWAY TYPE:

TRAFFIC AIRCRAFT RAIL INDUSTRIAL
DIST. TO RDWY C/L OR EOP 1
TRAFFIC COUNT DURATION: MIN

DIRECTION NB/EB SB/WB
•" AUTOS 82--
z o MED TRKS
0 HVY TRKS 0
0 BUSES

MOTRCLS O
SPEEDS ESTIMATED BY: RADAR / DRIVING THE PACE
POSTED SPEED LIMIT SIGNS SAY: 1- Cl
SPEED 1/p

NB/EB SB/WB

IF COUNTING
BOTH

DIRECTIONS

AS ONE,

CHECK HERE
I -
Z
0 U
Y
cc
cc
cc
0 NB/EB
OTHER:
(p i
MIN
SB/WB
SPEED

NB/EB SB/WB
OTHER NOISE SOURCES (BACKGROUND): DIST. AIRCRAFT RUSTLING LEAVES DIST. BARKING DOGS BIRDS DIST. INDUSTRIAL DIST. KIDS PLAYING DIST. CONVRSTNS / YELLING DIST. TRAFFIC (LIST RDWYS BELOW) DISTD GARDENERS/LANDSCAPING NOISE OTHER:

DESCRIPTION / SKETCH
TERRAIN HARD SOFT MIXED FLAT OTHER:

PHOTOS i, ir(

OTHER COMMENTS / SKETCH
1 _ = i r
r
1 �I

FIELD NOISE MEASUREMENT DATA
DUDEK
PROJECT �j�. f �- f� �C�t_] PROJECT# l N°[ 7
SITE ID JTi
SITE ADDRESS ' h4:...? C(� I J"t 5�,. 1 YOGN.0 ! .;):k7 ? ( OBSERVER(S) START DATE f o,!:r Z1l°) END DATE (Of:::

START TIME ( '. ? END TIME ( _ ,(]
-ZVL

METEOROLOGICAL CONDITIONS
TEMP F HUMIDITY 3`{ % R.H. WIND CALM LIGHT MODERATE
WINDSPD (_, MPH DIR. N NE S SE S SW W NW VARIABLE STEADY GUSTY

SKY SUNNY) CLEAR OVRCAST PRTLY CLDY FOG RAIN

ACOUSTIC MEASUREMENTS
MEAS. INSTRUMENT

CALIBRATOR
(O
CALIBRATION CHECK PRE -MEASUREMENT [ dBA SPL
TYPE V 2 SERIAL# O)O'JOSIL�
/� SERIAL# 3`t�e if357Lp
PAST-..1EASUREM ENT 9 1 dBA SPL WINDSCRN X
SETTINGS A-WTD SLOW FAST FRONTAL RANDOM ANSI OTHER:

REC. # BEGIN END Leg Lmax Lmin L90 L50 110 OTHER (SPECIFY METRIC I 1 : ZO I .3O --/ I .0 fn ,S LI B L3,5 Leg .9 —H.

COMMENTS

SOURCE INFO AND TRAFFIC COUNTS

PRIMARY NOISE SOURCE
ROADWAY TYPE:

TRAFFIC AIRCRAFT RAIL INDUSTRIAL
DIST. TO RDWY C/L OR(1'O
TRAFFIC COUNT DURATION; MIN SPEED z-/5

DIRECTION NB/EB SB/WB NB/EB SB/WB
`-1 AUTOS 8 V IF COUNTING
`-I Y BOTH N
z )- MED TRKS -_ DIRECTIONS z
0 HVY IRKS 1 AS ONE, 0
uCC
O BUSES 0 CHECK HERE (,

MOTRCLS O
SPEEDS ESTIMATED BY: RADAR / DRIVING THE PACE
POSTED SPEED LIMIT SIGNS SAY: H S
N
CC
0 O
OTHER:
! Z -F v

MIN SPEED

NB/EB SB/WB NB/EB SB/WB
OTHER NOISE SOURCES (BACKGROUND): DIST. AIRCRAFT RUSTLING LEAVES DIST. BARKING DOGS BIRDS DIST. INDUSTRIAL DIST. KIDS PLAYING DIST. CONVRSTNS / YELLING DIST. TRAFFIC (LIST RDWYS BELOW) DISTD GARDENERS/LANDSCAPING NOISE OTHER: (7 -A l" s-,‘._,c� -

DESCRIPTION / SKETCH

TERRAIN
PHOTOS
SOFT MIXED LAT OTHER:
\ `IS

OTHER COMMENTS / SKETCH
1 h
1 FIELD NOISE MEASUREMENT DATA
DUDEK
PROJECT ! _ I •. ' r1 [ jJ PROJECT #

SITE ID C'
SITE ADDRESS Ft -1p- [•e
START DATE (O/2.'%_ END DATE /0 7 Z.-
START TIME /.jc olt,/ END TIME 7

OBSERVER(S)

METEOROLOGICAL CONDITIONS
TEMP 7(, F HUMIDITY 1-I % R.H. WIND CALM IGHT MODERATE
WINDSPD - MPH DIR. N iE S SE S SW W NW VARIABLE STEADY GUSTY SKY 'SUNNY CLEA`r OVRCAST PRTLY CLDY FOG RAIN

ACOUSTIC MEASUREMENTS
MEAS. INSTRUMENT
RIOT TYPE c, 2
SERIAL# go 3DSI.el
CALIBRATOR -' i., 7 t.)C._ SERIAL # -39(..97 - 70
CALIBRATION CHECK PRE -MEASUREMENT dBA SPL POST -MEASUREMENT 1 q dBA SPL WINDSCRN SETTINGS A-WTD SLOW FAST FRONTAL RANDOM ANSI OTHER:

REC. # BEGIN END Leg Lmax Lmin L90 L50 110 OTHER (SPECIFY METRIC /t;Do 1 833 S\9 5a -r (v2.1 !off

COMMENTS
A
-
)n4

SOURCE INFO AND TRAFFIC COUNTS

PRIMARY NOISE SOURCE
ROADWAY TYPE:

AIRCRAFT RAIL INDUSTRIAL OTHER:

DIST. TO RDWY C/L OR OP: 7 FT_
TRAFFIC COUNT DURATION: MIN SPEED

DIRECTION NB/EB SB/WB NB/EB SB/WB
I-
Z
D
0 U
`-1 AUTOS ' 1
MED TRKS 2

HVY TRKS

O BUSES
MOTRCLS 0
SPEEDS ESTIMATED BY: RADAR / DRIVING THE PACE
POSTED SpEED_LIMLLSIGNSSAY: 35

IF COUNTING
BOTH N

DIRECTIONS

AS ONE, D
CHECK HERE Ou
F41
cc
0 cc
0 MIN SPEED

NB/EB SB/WB NB/EB SB/WB
OTHER NOISE SOURCES (BACKGROUND): DIST. AIRCRAFT RUSTLING LEAVES DIST. BARKING DOGS BIRDS DIST. INDUSTRIAL DIST. KIDS PLAYING DIST. CONVRSTNS / YELLING DIST. TRAFFIC (LIST RDWYS BELOW) DISTD GARDENERS/LANDSCAPING NOISE OTHER:

DESCRIPTION / SKETCH
TERRAIN FCTAF-TO> SOFT MIXED FLAT OTHER:

PHOTOS q# (() f 1' E 12

OTHER COMMENTS / SKETCHT
•
fx
..... .,... ...» w ..i.,
T
F
d _
s•

Technical Background Report
ATTACHMENT 2

TRAFFIC NOISE MODELING DATA AND RESULTS
Pismo Beach Noise Element Update October 2021
15 TABLE A - Traffic Count Data and Future Traffic Volume Forecast Summary Site
Road
Minutes
Autos
MT/Bus
HT
Total
A+MT+HT
% Auto
% MT
% HT
Hourly
Trips
Speed
(mph)
EOP Distance
# of Lanes
Leq
Existing ADT
s
City Streets
Existing ADT
s
Highway
2040 ADT
s
Highway
2040 ADT City
6 Streets
ST -1
Seacliff Drive 1
15 0
0 0
0 N/A
N/A
N/A
0 25
8 2

55.2 -
-
-
-
ST -2
Ocean Boulevard
15 5
0 0
5 100%
0%
0%
20 25
10 2

53.6 200 4
-
-
221'
ST -3
Dugan Road
1 (at Elawe Way)
15 0
0 0
0 N/A
N/A
N/A
0 25
8 2

42.7 -
-
-
-
ST -4
US Highway 101
(adjacent to 5 Cities Drive)
5 318
5 14
337
94%
1%
4%
4044
65 125
4 72.4
-
69600
77652
-
ST -5
US 1
10 131
3 3
137
96%
2%
2%
822
45 14
2 69.3
-
7900
8814
-
ST -6
4th Street
10 128
2 3
133
96%
2%
2%
798
45 10
2 72.8
15480
-
-
18150
ST -7
Mattie Road
30 39
0 0
39 100%
0%
0%
78 35
9 2

65.7 1210
-
-
1300
ST -8
N. Oak Park Boulevard
10 82
4 0
86 95%
5%
0%
516
40 10
2 67.3
16090 5
-
-
19283 5
ST -9
Price Canyon Road
(at Dell Court)
10 81
4 7
92 88%
4%
8%
552
45 12
2 71
11210
-
-
14100
ST -10
Shell Beach Road
15 71
2 1
74 96%
3%
1%
296
35 7
2 66.1
1970
-
-
2800
2018 Circulation Element Update IS/MND Data
US 101: Price St (North) to
Mattie Road
-
-
-
-
-
-
-
-
-
65 50
4 -
-
64670
72152
-
US 101: North of Avila Beach
Drive 2
-
-
-
-
-
-
-
-
-
65 50
4 -
-
62020
69195
-
US 101: South of Oak Park
Blvd. z
65 50
4 -
-
62230
69429
-
US 101: Price St (South) to Prce
St (North)
-
-
-
-
-
-
-
-
-
65 50
4 -
-
62840
70110
-
US 101: Mattie Road to
Spyglass Drive
-
-
-
-
-
-
-
-
-
65 50
4 -
-
63550
70902
-
US 101: Spyglass Drive to Avila
Beach Drive
-
-
-
-
-
-
-
-
-
65 50
4 -
-
64860
72364
-
US 101: Oak Park Blvd to
Fourth St -
-
-
-
-
-
-
-
-
65 50
4 -
-
71070
79292
-
US 101: Fourth St to Price St
-
-
-
-
-
-
-
-
-
65 50
4 -
-
78600
87693
-
Table Notes:

Octoober 2021
1 Measurement collected to characterize residential neghborhood sound levels distant from major traffic sources, no traffic occurred on adjacent street during measurement. 2 This segment of US 101 is adjacent to, but outside, Pismo Beach City limits. 3 Existing Local Street Roadway Volume calculated from peak intersection volumes, Pismo Beach Circulation Element Update, September 2021. 4 ADT for local roadway not included in 2021 study; based upon manual traffic count during short-term sound measurement. 5 ADT for US 101 segments, US 1 segment, Oak Park Blvd from 2018 Pismo Beach General Plan Circulation Element Update IS/MND. 6 Year 2040 ADT calculated from peak intersection volumes, Pismo Beach Circulation Element Update, September 2021. 7 Year 2040 volume based upon 2019 manual traffic count, with 2019 RTP annual growth rates (0.5%) applied to predict increase from 2019 to 2040.

Technical Background Report
Pismo Beach Noise Element Update

TABLE A - Traffic Count Data and Future Traffic Volume Forecast Summary Technical Background Report Pismo Beach Noise Element Update

TABLE B -TRAFFIC NOISE LEVELS AND NOISE CONTOUR BOUNDARY DISTANCES Octo ber 2021
Pr oject Number:

Pr oject Name:
11924
Pismo Beach NEU
DUDEI(
No ise Model A ssumptions and Backgr ound Data
Model Description:

Traffic Data Source:

Community Noise Descripto r: CNEL
24 Hour Traffic Distrbution Assumptions
FHWA Highway Noise Prediction Model (FHWA-RD-77-108) with California Vehicle Noise (CALVENO) Emission Levels . 2018 Circulati on Element Update MND, San Luis Obisp o County RTP 2019, 2021 Circulation Element Update Day
Evening Night
Total ADT Volumes
Medium Trucks
Heavy Trucks
Analysis Condition
Highway Segment
77 .70%

87.43 %
89 .10 %
Lanes

12.70 %
5 .05 %

2.64 %
Median
Width
9 .60 %

7.52 %
8 .06 %
ADT
Volume
CNEL Cont our Notes:
- " countour is located within the roadway right-of-way Distance is from the centerline of the r oadway segment to the receptor l ocation .

Design Vehicle Mix Distance fr om Centerline
Speed Medium Heavy CNEL at of Roadway to Contour
(mph) Trucks Trucks 50 Feet 70 CNEL 65 CNEL 60 CNEL
US Highway 101
Price Street to Mattie Road, Existing
Price Street to Mattie Road, 2040
4 4
25 64,670 65
25 72,152 65
5% 6% 75.5 177 561 1774
5% 6% 76 .0 199 629 1991
US Highway 101
North of Avlia Beach Drive, Existing
North of Avlia Beach Drive, 2040
4 25 62,020 65
25 69,195 65
5% 6% 75.6 182 574
5% 6% 76.1 204 644
1815
2037
US Highway 101
So uth of Oak Park Blvd, Existing
South of Oak Park Blvd, 2040
4 4
25 62,230 65
25 69,429 65
5% 6% 75.6 182 574
5% 6% 76 .1 204 644
1815
2037
US Highway 101
Price Street (so uth) to Price Street (no rth), Existing Price Street (south) to Price Street (north), 2040
4 25 62,840 65
25 70,110 65
5% 6% 75 .6 182 574
5% 6% 76.1
204 644
1815
2037
US Highway 101
Mattie Road to Spyglass Drive, Existing
Mattie Road to Spyglass Drive, 2040
4 4
25 63,550 65
25 70,902 65
5% 6% 75.7 186 587
5% 6% 76.2 208 659
1858
2084
US Highway 101
Spyglass Drive to Avila Beach Drive, Existing
Spyglass Drive to Avila Beach Drive, 2040
4 4
25 64,860 65
25 72,364 65
5% 6% 75.8 190 601
5% 6% 76.3
213 674
1901
2133
US Highway 101
Oak Park Blvd. to Fourth Street, Existing
Oak Park Blvd. to Fo urth Street, 2040
4 4
25 71,070 65
25 79,292 65
5% 6% 76.6 229 723
5% 6% 77 .1
256 811
2285
2564
US Highway 101
Fourth Street to Price Street, Existing
Fo urth Street to Price Street, 2040
4 25 78,600 65
25 87,693 65
5%
5%
6% 77 .0 251 792
6% 77 .5
281 889
2506
2812
Technical Background Report

Analysis Condition
Roadway Segm ent
Design Vehicle Mix Distance from Centerline
Median ADT Speed Medium Heavy CNEL at of Roadway to Cont our Lanes Width V olume (mph) Trucks Trucks 25 Feet 70 CNEL 65 CNEL 60 CNEL Ocean Boulevard
Between Palisade Ave and Seaview Ave, Existing
Between Palisade Ave and Seaview Ave, 2040
2 0
0 200 25 1% 1% 48.1
221 25 1% 1% 48 .5
North 4th Street
South of 5 Cities Drive, Existing
South of 5 Cities Drive, 2040
2 0
2 0
15,480 45 2% 2% 72 .4 43 137 434
18,150 45 2% 2% 73.1 51 161 510
Mattie Ro ad
Between Foothill Road and Baycliff Drive, Existing
Between Foothill Road and Baycliff Drive, 2040
2 0
2 0
1,210 35 1% 1% 59.0
1,300 35 144, 1 % 59,4
North Oak Park Blv d.

South of Meadowlark Drive, Existing
South of Meadowlark Drive, 2040
2 0
2 0
16,090 40 2% 1% 71.5 35 112 353
19;283 40 2% 1% 72 .3 42 134 425
Price Canyon Road
So uth of Dell Court, Existing
South of Dell Court, 2040
2 0
2 0
11,210 45 2% 4% 71.0 31 100 315
14,100 45 2% 4% 72 .0 40 125 396
Shell Beach Road
Between Solano Road and Ebb Tide Lane, Existing
Between Solano Road and Ebb Tide Lane, 2040
2 2
0 1,970 35
0 2,800 35
3%
3%
1% 61 .2
1% 62 .7
Cabrillo Highhway (US -1)
Between Addie Street and Park Avenue, Existing
Between Addie Street and Park Avenue, 2040
2 0
2 0
7,900 45 2% 2% 69 .5 25 70 223
8,814 45 2% 2% 70.0 25 79 250
Technical Background Report

TABLE C: NON -TRAFFIC NOISE LEVELS AND NOISE CONTOUR BOUNDARY DISTANCES Project Number:

Project Name:
11924
Noise Element Update
DUDEIK
Noise Source
Distance to Contour Boundary
CNEL Distance from (feet)
(dBA) Noise Source 70 CNEL 65 CNEL 60 CNEL
UPRR Rail Line
(Distance reference is center of tracks)
Industrial Area
(Distance Reference is from boundary of Industrial Area) Retail Center
(Distance Reference is from boundary of Retail Center)

66.3 40 17 54 171

56.1 300 61 108 191

63.7 55 27 47 84

Technical Background Report
ATTACHMENT 3

LONG-TERM MEASUREMENTS AND CALCULATIONS
Pismo Beach Noise Element Update October 2021
16 LT -1
Industrial Area 24 -hour Noise Measurement Data
SPL Time Freq
Number Start Date Start Time End Time Weight Weight LAeq LAmax LAmin LApeak L1% L5% L10 % L50% L90% 1 10/22/2019 9:00:00 AM 10:00:00 AM Slow dBA 49.7 72 .5 42.3 86.8 55 .5 53.2 52 48 .2 45 2 10/22/2019 10:00:00 AM 11:00:00 AM Slow dBA 46.3 57 .9 38.7 74.7 53 .4 50.4 49.1 44 .8 41.9 3 10/22/2019 11:00:00 AM 12:00:00 PM Slow dBA 49 .3 66.2 38 .1 87 .4 61 56 .4 48.9 43.6 41 .3 4 10/22/2019 12:00:00 PM 1:00:00 PM Slow dBA 50 67 .2 43 86.6 61 .4 53.2 49.5 47 .1 45.7 5 10/22/2019 1:00:00 PM 2:00:00 PM Slow dBA 57.1 80.8 44.3 100.4 68.4 61.9 58 .7 51.7 46.4 6 10/22/2019 2:00:00 PM 3:00:00 PM Slow dBA 49.5 75 .5 44.6 86.6 54 .5 50.4 49.5 47 .9 46.2 7 10/22/2019 3:00:00 PM 4:00:00 PM Slow dBA 51 .3 78.1 44 .5 93 .4 57 .3 53 51.7 49.4 46 .8 8 10/22/2019 4:00:00 PM 5:00:00 PM Slow dBA 50.9 63 .9 44.9 89.9 58 .3 53.3 52.1 50 .2 48 9 10/22/2019 5:00:00 PM 6:00:00 PM Slow dBA 50 .4 63.4 41 .6 84 .5 58 55 .6 53.3 48.9 45 10 10/22/2019 6:00:00 PM 7:00:00 PM Slow dBA 54.2 65 .4 48.8 84 58 .2 56.9 56.1 53 .7 51.2 11 10/22/2019 7:00:00 PM 8:00:00 PM Slow dBA 52.5 59 .5 47.4 75 57 .2 56.1 55.2 51 .2 49.3 12 10/22/2019 8:00:00 PM 9:00:00 PM Slow dBA 49.7 56 .9 45.9 76 53 .6 52 51.3 49 .4 47.7 13 10/22/2019 9:00:00 PM 10:00:00 PM Slow dBA 55 .2 82.5 45 .7 96 .1 57.3 53 .6 52.5 49.8 48 .3 14 10/22/2019 10:00:00 PM 11:00:00 PM Slow dBA 49 61 .5 43.1 80.9 54 .6 52.1 51.1 48 .2 46.1 15 10/22/2019 11:00:00 PM 12:00:00 AM Slow dBA 47.8 58.3 42.2 74 53.5 51.3 50 .2 46.8 44.4 16 10/23/2019 12:00:00 AM 1:00:00 AM Slow dBA 44.7 53 .6 40 70.3 49 .3 47 46.3 44 .3 42.2 17 10/23/2019 1:00:00 AM 2:00:00 AM Slow dBA 44 .2 53.3 37 .9 66 .9 49 .4 47 .6 46.5 43.3 41 .2 18 10/23/2019 2:00:00 AM 3:00:00 AM Slow dBA 46.1 60 .6 39.1 75.3 52 .5 49.8 48.3 45 42.2 19 10/23/2019 3:00:00 AM 4:00:00 AM Slow dBA 47 .6 60.2 37 .2 74 .5 55.1 52 .4 50.8 45.8 41 .7 20 10/23/2019 4:00:00 AM 5:00:00 AM Slow dBA 48.1 71 .8 37.1 86.8 54 .5 51.6 50.3 45 .7 42 21 10/23/2019 5:00:00 AM 6:00:00 AM Slow dBA 50.5 61 .3 41.2 73.8 57 .3 55.3 53.9 48 .7 45.2 22 10/23/2019 6:00:00 AM 7:00:00 AM Slow dBA 51.4 72 .3 42.6 96.1 57 .6 55.2 53.9 50 47 23 10/23/2019 7:00:00 AM 8:00:00 AM Slow dBA 51 66.8 43 82 .7 60 .7 53 .7 52.6 49.3 46 .4 24 10/23/2019 8:00:00 AM 9:00:00 AM Slow dBA 49 60.5 42.4 83.3 54 .6 51.9 51 48 .2 46.2 25 10/23/2019 9:00:00 AM 9:04:13 AM Slow dBA 64.4 79.5 44.8 110 .6 76.6 71.4 67 .5 51.7 46.4 Technical Background Report Pismo Beach Noise Element Update

LT -2
Train Source 24 -hour Noise Measurement Data
SPL Time Freq
Number Start Date Start Time End Time Weight
1 10/22/2019 9:00:00 AM 10:00:00 AM Slow
2 10/22/2019 10:00:00 AM 11:00:00 AM Slow
3 10/22/2019 11:00:00 AM 12:00:00 PM Slow
4 10/22/2019 12:00:00 PM 1:00:00 PM Slow
5 10/22/2019 1:00:00 PM 2:00:00 PM Slow
6 10/22/2019 2:00:00 PM 3:00:00 PM Slow
7 10/22/2019 3:00:00 PM 4:00:00 PM Slow
8 10/22/2019 4:00:00 PM 5:00:00 PM Slow
9 10/22/2019 5:00:00 PM 6:00:00 PM Slow
10 10/22/2019 6:00:00 PM 7:00:00 PM Slow
11 10/22/2019 7:00:00 PM 8:00:00 PM Slow
12 10/22/2019 8:00:00 PM 9:00:00 PM Slow
13 10/22/2019 9:00:00 PM 10:00:00 PM Slow
14 10/22/2019 10:00:00 PM 11:00:00 PM Slow
15 10/22/2019 11:00:00 PM 12:00:00 AM Slow
16 10/23/2019 12:00:00 AM 1:00:00 AM Slow
17 10/23/2019 1:00:00 AM 2:00:00 AM Slow
18 10/23/2019 2:00:00 AM 3:00:00 AM Slow
19 10/23/2019 3:00:00 AM 4:00:00 AM Slow
20 10/23/2019 4:00:00 AM 5:00:00 AM Slow
21 10/23/2019 5:00:00 AM 6:00:00 AM Slow
22 10/23/2019 6:00:00 AM 7:00:00 AM Slow
23 10/23/2019 7:00:00 AM 8:00:00 AM Slow
24 10/23/2019 8:00:00 AM 9:00:00 AM Slow
25 10/23/2019 9:00:00 AM 9:12:30 AM Slow
Weight
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
LAeq
62 .5
58 .7

60.7 60 .9

60.3 64 .8

72.3 67 .2

61.6 62 .4
60 .5
60 .8

63.2 59
55 .9
54 .1

52.4 51 .8

56.2 55 .8
58 .1

61.7 67.9

61. 9

61.5 LAmax

90.1 72.3

73.4 71.5
74 .8

88.7 94.9

93.3 79.8

80.1 69.1

82.3 84.6

71.3 67 .1

69.2 65.9

66.7 66.2

67.1 71.4

75.1 93.1

70.9 74.6
LAmin

44.7 43.9
54 .1
52 51.9

51.3 51 .1

50.4 50 .2

54.6 53.7

51.6 51 .9

50.7 43.8

44.9 43
43 49 .5

47.7 46.8

49.2 50 .2

47.6 47.6
LApeak L1%
118 .1

85.8 91 .8

88.3 87.8
107 .3
114 .1
112 .8
99 .9
105 .7

82.4 99.9
101.3

87.3 82.1

81.5 79 .2

89.3 79 .9

80.3 88.8

90.5 110 .1
92 104.9
71 .2
65 .9

67.6 67 .8

67.2 69 .2
79 .2
68 .4
68 .8
68 .4
65 .7
67 .7

74.1 65 .8
64 .2
63 .8
62 .1
61 .5

63.3 64 .3
65 .6
68 .9
69 .8
67 .1
69 L5%

64.6 63.2
63 .9

64.4 64.2

65.3 68 .3

64.2 64 .9

65.4 64

63.6 64 .6

63.6 61.5

60.3 56 .6

57.8 60

60.5 63.1

66.4 67 .8

65.7 66
L10 %
63 61.9
62 .8

63.1 62.9

64.2 66 .5

63.1 63 .9

64.6 63.3

62.8 63 .1

62.2 59.8

57.8 54 .3

53.6 58 .8

58.6 61.9

65.3 67 .1

64.9 64.7
L50%
58 57.2

59.8 60
59 .1

60.7 61.6

59.5 60.4

61.3 59.7

58.8 58

57.3 52.9

50.2 50.6

48.9 54.9
54 55.3
60 63.3

61.2 59 .8
L90%
49 .2
49 .4

56.7 56 .5

54.7 55 .7

56.1 54 .7

55.9 57 .6
56 .2
54 .6

54.4 53 .8
46 .7
47 .3

46.8 45

52.1 51 .2
50 .6
52 .7

56.2 53 .7

52.3 Technical Background Report Pismo Beach Noise Element Update

LT -3
Retail Center 24 -hour Noise Measurement Data
Number Start Date
1 10/22/2019
2 10/22/2019
3 10/22/2019
4 10/22/2019
5 10/22/2019
6 10/22/2019
7 10/22/2019
8 10/22/2019
9 10/22/2019
10 10/22/2019
11 10/22/2019
12 10/22/2019
13 10/22/2019
14 10/22/2019
15 10/22/2019
16 10/23/2019
17 10/23/2019
18 10/23/2019
19 10/23/2019
20 10/23/2019
21 10/23/2019
22 10/23/2019
23 10/23/2019
24 10/23/2019
25 10/23/2019
Start Time
9:00:00 AM
10:00:00 AM
11:00:00 AM
12:00:00 PM
1:00:00 PM
2:00:00 PM
3:00:00 PM
4:00:00 PM
5:00:00 PM
6:00:00 PM
7:00:00 PM
8:00:00 PM
9:00:00 PM
10:00:00 PM
11:00:00 PM
12:00:00 AM
1:00:00 AM
2:00:00 AM
3:00:00 AM
4:00:00 AM
5:00:00 AM
6:00:00 AM
7:00:00 AM
8:00:00 AM
9:00:00 AM
End Time
10:00:00 AM
11:00:00 AM
12:00:00 PM
1:00:00 PM
2:00:00 PM
3:00:00 PM
4:00:00 PM
5:00:00 PM
6:00:00 PM
7:00:00 PM
8:00:00 PM
9:00:00 PM
10:00:00 PM
11:00:00 PM
12:00:00 AM
1:00:00 AM
2:00:00 AM
3:00:00 AM
4:00:00 AM
5:00:00 AM
6:00:00 AM
7:00:00 AM
8:00:00 AM
9:00:00 AM
9:21:03 AM
SPL Time
Weight
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Slow
Freq
Weight
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
dBA
LAeq

62.2 53.1
58 .4

55.6 62.6

57.3 56

54.6 55 .6
56 57.3
55 56 .6

56.1 53.9

55.3 54 .6

54.1 55 .8

56.8 60

59.5 61.3

58.6 59.6
LAmax

92.7 64.4
67 .3

72.9 89.7

70.3 75 .1

67.9 71 .2

63.7 64.7

61.4 79 .7

63.4 62.9

69.2 65 .9

63.7 69

71.2 79.1

72.3 68 .6

79.9 79.2
LAm i n

50.7 49.4

49.4 49.2
50 .9

52.7 50.6
50 49.6
51 52.1

51.3 50.2

49.6 45 .8

43.6 43.1

43.1 43

45.8 51.1

53.6 53.8

50.2 52 .1
LApeak
125 .8

82.8 80.7
93 107.8

85.9 88.2

84.1 91.6

79.7 81.1

75.2 90.9

79.7 76.8

82.2 80

82.5 80.1
88 99.1

91.5 87.1
102
103 .7
L1 %

70.1 57.4
63 .6

63.5 72.8
62 61 .7

59.4 60 .1

60.2 61.4

58.5 61 .9
61 58.9

63.1 61 .8

61.4 63 .9

62.3 65.7

64.1 66

67.3 70.7
L5%
61 .5
55 .6

62.3 60 .6

62.9 59 .2
58 .2
57 57 .7
59 59 .8
57 .5

59.4 59 .1
57 .1
59 .5
59 .5
59 61
60 .7
63 .5
62 .1
64 .9
61 61 .8
L10%
59 54 .7

61.4 58 .4

59.1 58 .5
57 .1
56 .3
56 .9
58 .1
59 56 .8

58.1 58 .2
56 .4
58 58 .1
57 .5

59.2 59 .6
62 .1
61 .4
64 .2
59 .9
59 .6
L50 %
56 .4
52 .6

57.7 53

54.6 56 .8
55 .1
54 .1
55 .1
55 .4
56 .8
54 .5

55.3 55 .5
53 .1
53 .6
52 .8
52 .3

53.5 55 .8
59 .1
58 .9
60 .4
56 .8
56 .5
L90 %
53 .3
51 .2

52.5 51 .1

52.7 55 .1
53 .5
51 .8
53 .2
53 .1
55 52 .8

53.4 53 .1
49 .9
48 .6
47 .8
47 .1

47.2 52
56 .3
56 .1
56 .6
54 54 .4
Technical Background Report Pismo Beach Noise Element Update

Industrial CNEL
Leq
Time
Adjustment

44.7 Midnight
10 54.7

54.7 44.2
1 10

54.2 54.2

46.1 2
10 56.1

56.1 47.6
3 10

57.6 57.6

48.1 4
10 58.1

58.1 50.5
5 10

60.5 60.5

51.4 6
10 61.4

61.4 51
7am
51 51
49 8
49 49

49.7 9

49.7 49.7

46.3 10

46.3 46.3

49.3 11

49.3 49.3
50 noon
50 50

57.1 1

57.1 57.1

49.5 2

49.5 49.5

51.3 3

51.3 51.3

50.9 4

50.9 50.9

50.4 5

50.4 50.4

54.2 6

54.2 54.2

52.5 7
5 57.5

52.5 49.7
8 5

54.7 49.7

55.2 9
5 60.2

55.2 49
10 10
59 59

47.8 11
10 57.8

57.8 56.1

55.5 CNEL
LDN
Technical Background Report Pismo Beach Noise Element Update

Train CNEL
Leq
Time
Adjustment

54.1 Midnight
10 64.1

64.1 52.4
1 10

62.4 62.4

51.8 2
10 61.8

61.8 56.2
3 10

66.2 66.2

55.8 4
10 65.8

65.8 58.1
5 10

68.1 68.1

61.7 6
10 71.7

71.7 67.9
7am

67.9 67.9

61.9 8

61.9 61.9

62.5 9

62.5 62.5

58.7 10

58.7 58.7

60.7 11

60.7 60.7

60.9 noon

60.9 60.9

60.3 1

60.3 60.3

64.8 2

64.8 64.8

72.3 3

72.3 72.3

67.2 4

67.2 67.2

61.6 5

61.6 61.6

62.4 6

62.4 62.4

60.5 7
5 65.5

60.5 60.8
8 5

65.8 60.8

63.2 9
5 68.2

63.2 59
10 10
69 69

55.9 11
10 65.9

65.9 66.3

65.9 CNEL
LDN
Technical Background Report Pismo Beach Noise Element Update

Retail Center CNEL
Leq
Time
Adjustment

55.3 Midnight
10 65.3

65.3 54.6
1 10

64.6 64.6

54.1 2
10 64.1

64.1 55.8
3 10

65.8 65.8

56.8 4
10 66.8

66.8 60
5 10
70 70

59.5 6
10 69.5

69.5 61.3
7am

61.3 61.3

58.6 8

58.6 58.6

62.2 9

62.2 62.2

53.1 10

53.1 53.1

58.4 11

58.4 58.4

55.6 noon

55.6 55.6

62.6 1

62.6 62.6

57.3 2

57.3 57.3
56 3
56 56

54.6 4

54.6 54.6

55.6 5

55.6 55.6
56 6
56 56

57.3 7
5 62.3

57.3 55
8 5
60 55

56.6 9
5 61.6

56.6 56.1
10 10

66.1 66.1

53.9 11
10 63.9

63.9 63.7

63.4 CNEL
LDN
Technical Background Report Pismo Beach Noise Element Update

Appendix D
Special Status Species Tables

Appendix D Special Status Species Tables
Table D-1 Special Status Plant Species Documented in or with the Potential to Occur in Pismo Beach
Scientific Name
Common Name
FESA/CESA Status CRPR
Agrostis hooveri
Hoover's bent grass
—/-
1B.2
Arctostaphylos cruzensis
Arroyo de la Cruz manzanita
—/-
1B.2
Arctostaphylos luciana
Santa Lucia manzanita
—/-
1B.2
Arctostaphylos morroensis
Morro manzanita
FT/ -

16.1 Arctostaphylos osoensis
Oso manzanita
—/-
1B.2
Arctostaphylos pechoensis
Pecho manzanita
—/-

16.2 Arctostaphylos pilosula
Santa Margarita manzanita
—/-
1B.2
Arctostaphylos rudis
sand mesa manzanita
—/-

16.2 Arctostaphylos tomentosa ssp. daciticola
dacite manzanita
—/-
1B.1
Arenaria paludicola
marsh sandwort
FE/SE

16.1 Astragalus didymocarpus var. milesianus
Miles' milk -vetch
—/-
1B.2
Atriplex coulteri
Coulter's saltbush
—/-
1B.2
Bryoria spiralifera
twisted horsehair lichen
—/-

16.1 Calochortus obispoensis
San Luis mariposa lily
—/-
1B.2
Calochortus simulans
La Panza mariposa lily
—/-

16.3 Calycadenia villosa
dwarf calycadenia
—/-
1B.1
Camissoniopsis hardhamiae
Hardham's evening -primrose
—/-
1B.2
Carex obispoensis
San Luis Obispo sedge
—/-
1B.2
Castilleja densiflora var. obispoensis
San Luis Obispo owl's -clover
—/-

16.2 Ceanothus impressus var. nipomensis
Ceanothus thyrsiflorus var. obispoensis
Centromadia parryi ssp. congdonii
Chenopodium Iittoreum
Chlorogalum pomeridianum var. minus
Chloropyron maritimum ssp. maritimum
Chorizanthe aphanantha
Chorizanthe breweri
Nimpomo Mesa ceanothus
San Luis Obispo ceanothus
Congdon's tarplant
coastal goosefoot
dwarf soaproot
salt marsh bird's -beak
Irish Hills spineflower
Brewer's spineflower
—/-
-/-
1 B.1
1B.1
1B.1
1B.2

16.2 1B.2

16.1 1B.3
Chorizanthe rectispina
straight -awned spineflower
—/-
1B.3
Cirsium fontinale var. obispoense
San Luis Obispo fountain thistle
FE/SE

16.2 Cirsium occidentale var. lucianum
Cuesta Ridge thistle
—/-
1B.2
Cirsium rhothophilum
Surf thistle
—/ST
1B.2
Cirsium scariosum var. loncholepis
La Graciosa thistle
FE/ST
1B.1
Cladium califomicum
California sawgrass
—/-
2B.2
Cladonia firma
popcorn lichen
—/-

26.1 Clarkia speciosa ssp. immaculata
Pismo clarkia
FE/SR
1B.1
Delphinium parryi ssp. blochmaniae
dune larkspur
—/-

16.2 Delphinium parryi ssp. eastwoodiae
Eastwood's larkspur
—/-
1B.2
Delphinium umbraculorum
umbrella larkspur
—/-

16.3 Final Program Environmental Impact Report D-1

City of Pismo Beach
Pismo Beach General Plan/Local Coastal Plan Update
Scientific Name
Common Name FESA/CESA Status CRPR
Dithyrea maritima
Dudleya abramsii ssp. bettinae
Dudleya abramsii ssp. murina
Dudleya blochmaniae ssp. blochmaniae
Erigeron blochmaniae
Eriodictyon altissimum
Eryngium aristulatum var. hooveri
beach spectaclepod
Betty's dudleya
mouse -gray dudleya
Blochman's dudleya
Blochman's leafy daisy
Indian Knob mountainbalm
Hoover's button -celery
— /ST
—/-
- /-
- /-
- /—
FE/SE
1 B.1
-/-
1B.2
1B.3
1B.1
1B.2

16.1 1B.1
Extriplex joaquinana San Joaquin spearscale
—/-
1B.2
Fritillaria ojaiensis Ojai fritillary
— /— 16.2
Fritillaria viridea San Benito fritillary
—/-
1B.2
Horkelia cuneata var. puberula mesa horkelia
—/— 16.1
Horkelia cuneata var. sericea Kellogg's horkelia
—/-
1B.1
Lasthenia califomica ssp. macrantha perennial goldfields —/— 1B.2
Lasthenia glabrata ssp. coulteri Coulter's goldfields
—/-
1B.1
Layia jonesii Jones' layia
—/— 1B.2
Lupinus Iudovicianus San Luis Obispo County lupine
—/— 1B.2
Lupinus nipomensis Nipomo Mesa lupine
FE/SE 1B.1
Malacothamnus gracilis slender bush -mallow
—/— 1B.1
Monardella palmeri Palmer's monardella
—/-
1B.2
Monardella sinuata ssp. sinuata southern curly -leaved monardella —/— 1B.2 Monardella undulata ssp. undulata San Luis Obispo monardella —/-
1B.2
Monolopia gracilens woodland woolythreads
—/— 16.2
Muhlenbergia utilis aparejo grass
—/-
2B.2
Nasturtium gambelii Gambel's water cress
FE/ST 1B.1
Nemacaulis denudata var. denudata coast woolly -heads
—/— 1B.2
Plagiobothrys uncinatus hooked popcornflower
—/— 16.2
Poa diaboli Diablo Canyon blue grass
—/— 1B.2
Sanicula maritima adobe sanicle
—/SR 1B.1
Scrophularia atrata black -flowered figwort
—/— 1B.2
Senecio aphanactis chaparral ragwort
— /— 2B.2
Sidalcea hickmanii ssp. anomala Cuesta Pass checkerbloom —/SR 1B.2
Streptanthus albidus ssp. peramoenus most beautiful jewelflower —/— 16.2
Suaeda californica California seablite
FE/— 1B.1
Sulcaria isidiifera splitting yarn lichen
— /— 16.1
Symphyotrichum defoliatum San Bernardino aster
Trifolium hydrophilum saline clover
1B.2
1B.2
Tropidocarpum capparideum caper -fruited tropidocarpum
1B.2
FT: Federally threatened FE: Federally endangered
CRPR: California Rare Plant Rank
SE: State endangered ST: State threatened SR: State rare D-2

Appendix D Special Status Species Tables
Table D-2 Special Status Wildlife Species Documented in or with the Potential to Occur in Pismo Beach
Scientific Name
Common Name

FESA/CESA
Status
Other CDFW &
Local Status
Invertebrates
Bombus crotchii
Bombus occidentalis
Crotch bumble bee
western bumble bee
—/SCE
—/SCE
Branchinecta lynchi
Vernal pool fairy shrimp
FT/—
Danaus plexippus
monarch butterfly
—/—
Locally
Important
Helminthoglypta walkeriana
Morro shoulderband (=banded dune) FE/ —
snail
Fish
Eucyclogobius newberryi
Oncorhynchus mykiss irideus pop. 9
tidewater goby
FE/—
SSC
steelhead - south-central California FT/ —
coast DPS
Amphibians
Batrachoseps minor
Rana boylii
lesser slender salamander
—/-
SSC
foothill yellow -legged frog
-/SE
SSC
Rana draytonii
California red -legged frog
FT/—
SSC
Taricha torosa
Coast Range newt
—/—
SSC
Reptiles
Anniella pulchra
Emys marmorata [Actinemys pallida]
silvery legless lizard
western pond turtle
—/-
SSC
-/—
SSC
Thamnophis hammondii
two -striped garter snake
-/-
SSC
Birds
Accipiter cooperii
Accipiter striatus
Cooper's hawk
—/-
WL
sharp -shinned hawk
-/—
WL
Agelaius tricolor
tricolored blackbird
—/ST
SSC
Athene cunicularia
burrowing owl
—/—
SSC
Athene cunicularia hypuaaea
western burrowing owl
—/SCE
Buteo regalis
ferruginous hawk
—/—
WL
Charadrius nivosus nivosus
western snowy plover
SSC
Coccyzus americanus occidentalis
western yellow -billed cuckoo
FT/SE
Elanus leucurus
white-tailed kite
—/—
FP
Eremophila aplestris actia
California horned lark
—/—
WL
Falco columbarius
merlin
—/—
WL
Falco mexicanus
prairie falcon
—/—
WL
Lanius ludovicianus
Loggerhead shrike
—/—
SSC
Laterallus jamaicensis coturniculus
California black rail
—/ST
FP
Progne subis
purple martin
—/—
SSC
Rallus obsoletus obsoletus
California Ridgway's rail
FE/SE
FP
Sterna antillarum browni
California least tern
FE/ —
FP
Final Program Environmental Impact Report D-3

City of Pismo Beach
Pismo Beach General Plan/Local Coastal Plan Update
Scientific Name Common Name
FESA/CESA Other CDFW &
Status Local Status
Mammals
Antrozous pallidus
pallid bat
—/—
SSC
Corynorhinus townsendii
Townsend's big -eared bat
-/-
SSC
Dipodomys heermanni morroensis Morro Bay kangaroo rat

FE/SE FP
Eumetopiasjubatus
Steller sea -lion
DL/—
Eumops perotis californicus western mastiff bat
-/- SSC
Neotoma lepida intermedia San Diego desert woodrat
-/- SSC
Nyctinomops macrotis big free -tailed bat
-/-
SSC
Taxidea taxus American badger
SSC
FT: Federally threatened
ST: State threatened
FP: Fully Protected
DL: Delisted
FE: Federally endangered
SR: State rare
SSC: Species of Special Concern
WL: Watch List
SE: State endangered
SCE: State candidate endangered
D-4

Appendix E
Energy Calculations

City of Pismo Beach General Plan/LCP Update
Last Updated: 12/3/21
Populate one of the following tables (Leave the other blank):

Annual VMT
Annual VMT: 13,422,120
OR
Daily Vehicle Trips
Daily Vehicle
Trips:

Average Trip
Distance:

Fleet Class
Fleet Mix
Light Duty Auto (LDA)
Light Duty Truck 1 (LDT1)
Light Duty Truck 2 (LDT2)
Medium Duty Vehicle (MDV)
Light Heavy Duty 1 (LHD1)
Light Heavy Duty 2 (LHD2)
Medium Heavy Duty (MHD)
Heavy Heavy Duty (HHD)
Other Bus (OBUS)
Urban Bus (UBUS)
Motorcycle (MCY)
School Bus (SBUS)
Motorhome (MH)

0.537981

0.060917

0.197944

0.129503

0.022130

0.006150

0.007595

0.005434

0.000841

0.000325

0.027432

0.000740

0.003008
Passenger Vehicles
Light-Med Duty Trucks
Heavy Trucks/Other
Motorcycles

24.1 17.6

7.5 44
Fleet Mix
Vehicle Type
Percent
Fuel
Annual VMT: Consumption
Fuel Type VMT Vehicle Trips: VMT (Gallons)
Passenger Vehicles
Light -Medium Duty Trucks
Heavy Trucks/Other
Motorcycle

53.80%

38.84%

4.62%

2.74%
Gasoline
Gasoline
Diesel
Gasoline
7,220,846
5,212,668
620,411
368,196

0.00 0.00

0.00 0.00
299,620
296,174
82,721
8,368
Total Gasoline Consumption (gallons)
604,163
Total Diesel Consumption (gallons)
82,721
Sources:
[1] United States Department of Transportation, Bureau of Transportation Statistics. 2021. National Transportation Statistics. Available at: https://www.bts.gov/topics/national-transportation-statistics . 3 1/4/2022 1:15 PM

Total new energy consumption
Apartments Low Rise
Apartments Mid Rise
Apartments Mid Rise
Government (Civic Center)
Office Park
Strip Mall
Strip Mall
2019 Pismo Beach Population
Pismo Beach New Population
2040 Pismo Beach Population
2019 SLO County Population
2019 Employment
New non-residential development (
Median sf/employee for Other Reta
New employees
2040 Pismo Beach Employment
2019 SLO County Employment
Existing Service Pop
New Service Pop
2040 Buildout Service Pop
2019 SLO County Service Pop
2040 Annual VMT from CaIEEMod
2040 Daily VMT
VMT Per Capita
VMT Per SP
Natural Gas
kBTU/year Therms/year

1.80E+07

2.25E+06

1.36E+00

6.05E+06

1.03E+05

8.80E+06

2.53E+05

5.80E+05

1.94E+05

2.42E+04

1.46E-02

6.51E+04

1.10E+03

9.47E+04

2.72E+03

6.24E+03
8,237 Population
Population
1,875 Population
10,112 Population
277,259 Population
4,919 employees
783,268 square feet
585 sf/employee
545 employees
5,464 employees
118,150 employees
Electricity
Per SP kWh/year 2019 Title 24 % 2019 Title 24 %

80.2 1.61E+07 (efficiency) (PV)
13,156 service population
2,420 service population
15,576 service population
395,409 service population
13,467,463
36,897

19.6784847

3.64884878

9.26E+05

2.79E+06

6.26E+05

1.09E+05

7.91E+06

1.12E+06

2.58E+06
7% 53%
7% 53%
7% 53%
30% 0%
30% 0%
30% 0%
30% 0%
htt as:// www.energy.ca.gov/sites/defai
"Single-family homes built with the 201
"Homes built under the 2019 standards
"Nonresidential buildings will use about
kWh/year Per SP

1.37E+08

1.36E+06

1.54E+06
-4.71E+04

5.22E+06

4.43E+06

2.60E+06
-2.82E+04

1.16E+08

8.27E+05

4.47E+06
56,514.4

rev kWh/year Per SP

1.01E+07 4,172.6

4.05E+05

1.22E+06

2.74E+05

7.62E+04

5.53E+06

7.85E+05

1.80E+06
alt/files/2020-03/Title 24 2019 Building Standards FAQ ada.pdf 9 standards will use about 7 percent less energy due to energy efficiency measures versus those built under the 2016 standards." will use about 53 percent less energy than those under the 2016 standards." t 30 percent less energy due mainly to lighting upgrades."

Table 4.5-1
2019 Annual Gasoline and Diesel Consumption
San Luis Obispo County
(gallons)
Gasoline
Diesel
Total
Table 4.5-2
2019 Electricity Consumption
138,000,000
22,000,000
160,000,000
San Luis Obispo County (MWh)
Electricity
Table 4.5-3
2019 Natural Gas Consumption
1,715,000
San Luis Obispo County
(US therms)
Natural Gas
Table 4.5-4
90,000,000
Projected 2040 Annual Natural Gas and Electricity Consumption in Pismo Beach Per Service Population Consumption
Natural Gas
U.S. Therms
2019 (SLO County Existing)
2040 (Pismo Beach New Development)
227.6

80.2 Electricity
kWh
2019 (SLO County Existing)
2040 (Pismo Beach New Development)
4,337.3
4,172.6
Based on VMT developed in CaIEEMod
Table 4.5-5 Direct Transportation Energy Use in Pismo Beach

Service Population
Existing
2040 (New Development)
13,156
2,420

County Per Service Population
Consumption
(gallons)
County Per Service Population Consumption
(MMBtu)
349.0

55.6 404.6

38.3 7.1

45.4 2040 Pismo fuel 2040 Per SP
consumption Consumption 2040 Per SP Consumption (MMBtu) (gallons) (gallons)
604,163 249.7 27.4
82,721 34.2 3.8
686,884 283.8 31.2
County Per Service Population
Consumption
(kWh)
County Per Service Population Consumption
(MMBtu)
4337.3

14.8 County Per Service Population
Consumption
(U.S. Therms)
County Per Capita Consumption (MMBtu)
227.6
Direct Energy Consumption
(Daily Per Service Population
MMBtu)

21.2 7.5

14.8 14.2

21.2 Based on VMT analysis in 2021Traffic Study
Table 4.5-5

Daily VMT
Per Service Population Btu/
VMT Factor
Direct Energy Consumption
(Daily Per Service Population
MMBtu)
20,757
36,897
2,187.6
844.5

45.4 31.2
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040

2.25%

45.4 44.4

43.4 42.4

41.5 40.5

39.6 38.7

37.8 37.0

36.2 35.4

34.6 33.8

33.0 32.3

31.5 30.8

30.1 29.5

28.8 28.2

27.5 26.9

26.3 (Existing)
2040 (New Development Only)
2040 (Buildout + New Development)

Direct Transportation Energy Use in Pismo Beach

Per Service Population Btu/ Direct Energy Consumption
Service Population Daily VMT
VMT Factor (Daily Per Service Population MMBtu)
13,156
2,420
15,576
30,757
6,015
1,476.3
5,180.6
36,897 844.5

45.4 31.2

31.2 2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040

2.25%

45.4 44.4

43.4 42.4

41.5 40.5

39.6 38.7

37.8 37.0

36.2 35.4

34.6 33.8

33.0 32.3

31.5 30.8

30.1 29.5

28.8 28.2

27.5 26.9

26.3 Local Area Unemployment Statistics
Original Data Value
Series Id: LAUMT064202000000005
Not Seasonally Adjusted
Area: San Luis Obispo -Paso Robles -Arroyo Grande, CA
Area Type: Metropolitan areas
State/Region/Division: California
Years: 2018 to 2018
Year
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov
2018 134146 136866 136480 136874 137858 136921 135458 132641 135376 137487 137399 Bureae of Labor Statistics, 2020, accessed April 28, 2020

Dec
134736 Average 136020

Appendix F
Greenhouse Gas Modeling

CaIEEMod Version: CaIEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied Pismo Beach GP/LCP PEIR - GHG
San Luis Obispo County APCD Air District, Annual

1.0 Project Characteristics

1.1 Land Usage
Land Uses
Size
Metric
Lot Acreage
Floor Surface Area
Population
Government (Civic Center)
Office Park

6.34 1000sgft
• 420.93 1000sgft
Apartments Low Rise •
. 228.00
Apartments Mid Rise • 162.00 Dwelling Unit
Apartments Mid Rise • 722.00 • Dwelling Unit
Strip Mall • 248.00 1000sgft
4 4 -
Strip Mall • 108.00 1000sgft
Dwelling Unit

0.15 9.66
I �

14.25 228,000.00 i 471
I �

4.26 162,000.00 i 185
I �

19.00 722,000.00 i 1221
I �

5.69 248,000.00 0
Y

2.48 - 108, 000.00 • 0
6,340.00
420, 930.00
-2
0 1.2 Other Project Characteristics
Urbanization Urban
Climate Zone 4
Wind Speed (m/s) 3.2
Utility Company Pacific Gas and Electric Company
CO2 Intensity
(Ib/MWhr)
203.98
CH4 Intensity
(Ib/MWhr)

1.3 User Entered Comments & Non -Default Data

0.033
Precipitation Freq (Days) 44
Operational Year 2040
N2O Intensity
(Ib/MWhr)
Project Characteristics -
Land Use - Data given by applicant
Construction Phase - Similar Buildout schedule as other City General Plan Update for 2040.

Grading -
Architectural Coating - SLOAPCD Rule 433
Vehicle Trips - Adjusted trip length and trip generation rates

0.004

CaIEEMod Version: CaIEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied Area Coating - SLOAPCD Rule 433
Mobile Land Use Mitigation -
Water Mitigation -
Table Name
Column Name
Default Value
New Value
tblArchitecturalCoating
tblArchitecturalCoating
tblArchitecturalCoating
tblArchitecturalCoating
tblAreaCoating
tblAreaCoating
tblAreaCoating
tblAreaCoating
tblConstructionPhase
tblConstructionPhase
tblConstructionPhase
tblConstructionPhase
tblConstructionPhase
tblConstructionPhase
tblLandUse
tblLandUse
tblLandUse
tblLandUse
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
EF_Nonresidential_Exterior
EF_Nonresidential_I nterior
EF_Residential_Exterior
EF_Residential_Interior
Area_EF_Nonresidential_Exterior
Area_EF_Nonresidential_Interior
Area_E F_Reside ntia l_Exte rior
Area_EF_Residential_Interior
NumDays
NumDays
NumDays
NumDays
NumDays
NumDays
Population
Population
Population
Population
CC_TL
CC_TL
CC_TL
CNW_TL
CNW_TL
CNW_TL
•
Y
Y
•
Y
Y
•
Y
Y
•
Y
•
Y
Y
•
Y
Y
•
Y
•
Y
Y
•
•
•
250.00
250.00
250.00
250.00
250
250
250
250

75.00 1,110.00

70.00 110.00

75.00 40.00

0.00 652.00
463.00
2,065.00

5.00 5.00

5.00 5.00

5.00 5.00
4 e
i.
e
4 e
-f
e
4 -f
i
e
4 150.00
150.00
100.00
100.00
150
150
100
100
330.00
4,650.00
300.00
465.00
330.00
180.00
-2.00
471.00
185.00
1,221.00

10.73 9.60

18.00 12.48

6.60 18.00

CalEEMod Version: CalEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
tblVehicleTrips
4 •
Y
•
•

•
•

•
•

•

•
•

•
•

•

•
•

•
•

•
•

•
•

•

•
•

•
•

•
•

•
•

•
•

•
•

•
•

•
•
CW_TL
CW_TL
CW_TL
HO_TL
HO_TL
HS_TL
HS_TL
HW_TL
HW_TL
ST_TR
ST_TR
ST_TR
ST_TR
SU_TR
SU_TR
SU_TR
SU_TR
WD_TR
WD_TR
WD_TR
WD_TR
WD_TR
4 •
Y
• 5.00
• 5.00
• • 5.00
• Y 5.00

13.00 13.00

13.00 13.00

13.00 8.14

4.91 1.64

42.04 6.28

4.09 0.76

20.43 7.32

5.44 33.98

11.07 e
-F
e
4 4
e
4 i
e
4 I
e
4 i
e
4 I
e
4 I
e
je
I
e
1e
I
ee
T

12.87 24.95

46.79 9.01

9.01 9.01

9.01 23.42

23.42 0.98

0.59 0.20

5.07 0.76

0.49 0.09

2.46 0.88

0.70 4.10

1.33 44.32 5.40

2.0 Emissions Summary

2.1 Overall Construction
Unmitigated Construction

CalEEMod Version: CalEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Year
tons/yr
MT/yr
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039

0.0531

1.1886 . 11.0056

0.5195

0.3635 • 6.6000e- . 2.3800e- • 0.0256
004 003

9.0932 1 0.0202 . 3.5221 1 0.4923

1.1258 . 8.0825 • 9.9399 1 0.0277 . 3.0095 1 0.2938

0.6786 . 3.7142 • 6.2428

0.0197 : 2.2807 : 0.1087

0.6030 : 3.1611 : 5.6774 0.0185 1.4670 0.0820
▪ 0.5825 . 3.1094

5.4903

0.5633 . 3.0629 5.3292
7,▪ 1
▪ 0.5425 . 3.0116

5.1743

0.5263 : 2.9854 5.0754

0.5012 . 2.3630 • 4.9845
▪ 0.4836 . 2.3359 • 4.8960

0.4689 . 2.3214

0.4513 : 2.2844

0.4390 . 2.2677 • 4.6808
r▪ :

0.4173 . 2.1605 • 4.6448

0.4189 . 2.1687 • 4.6626 : 0.0162 : 1.4727 : 0.0210
i
r▪ :

0.4173 . 2.1605 • 4.6448 1 0.0162 : 1.4671 1 0.0209
▪ 0.4173 . 2.1605 - 4.6448 1 0.0162 . 1.4671 1 0.0209
i

0.4157 i 2.1522 • 4.6270 T - 0.0161 T - 1.4615 T - 0.0209

4.8380

0.0181 : 1.4670 : 0.0815

0.0177 1.4670 1 0.0810

0.0173 : 1.4614 : 0.0802

0.0170 1.4671 1 0.0800

0.0173 : 1.4671 : 0.0301

0.0170 1.4671 1 0.0297

0.0168 : 1.4727 : 0.0295

0.0165 1.4615 1 0.0289

0.0163 : 1.4615 : 0.0286

0.0162 1.4671 1 0.0209
o l
El
-�i

4.7368
4 4
4 4
4 4
4 4
4 4
4 0.0280
• 6.3000e-
004

4.0145 • 1.4158 • 0.4553

0.0238

3.3032 • 0.9087 • 0.2725

2.3894 • 0.5116 • 0.1019

1.5490 • 0.3933 • 0.0771

1.5485 • 0.3933 • 0.0767

1.5481 • 0.3933 • 0.0762

1.5417 • 0.3918 • 0.0755

1.5471 • 0.3933 • 0.0753

1.4972 • 0.3933 • 0.0295

1.4968 • 0.3933 • 0.0291

1.5022 • 0.3948 • 0.0289

1.4904 • 0.3918 • 0.0284

1.4901 • 0.3918 • 0.0281

1.4881 • 0.3933 • 0.0204

1.4938 • 0.3948 • 0.0205

1.4881 • 0.3933 • 0.0204

1.4881 • 0.3933 • 0.0204

1.4824 : 0.3918 : 0.0204

0.0244
4 0.0000

58.0478 : 58.0478

1.8711 0.0000 1,796.725 • ▪ 1,796.725 • ▪ 0.4162 . 0.0299 • 1,816.036 5 : 5 :
1 1.1812 7 0.0000 2,527.355 • 2,527.355 • ▪ 0.3434 . 0.0976 • 2,565.029 8 8 7
y ,

0.6136 0.0000 1,830.486 • 1,830.486 • 0.1276 . 0.0947 • 1,861.895 9 9 1

0.0159

6.0000e- • 58.4624
005
, 6

0.4704 7 0.0000 1,731.375 • 1,731.375 • 0.1052 0.0913 • 1,761.213 1 ; 1 ; ; 1
i

0.4700 0.0000 1,701.254 • 1,701.254 • 0.1034 . 0.0886 • 1,730.237 2 ; 2 ; ; 1

0.4695 7 0.0000 1,672.037 • 1,672.037 • 0.1018 0.0860 • 1,700.214 1 ; 1 ; ; 9
Y

0.4672 0.0000 1,638.870 • 1,638.870 • 0.1000 . 0.0834 • 1,666.218 3 3 4
y

0.4686 7 0.0000 1,619.869 • 1,619.869 • 0.0992 0.0815 • 1,646.643 1 ; 1 ; ; 5
y

0.4228 0.0000 1,637.725 • 1,637.725 • 0.0408 . 0.0796 • 1,662.475 6 6 9

0.4224 0.0000 1,617.369 • 1,617.369 • 0.0398 0.0780 • 1,641.594 0 0 9
i

0.4237 0.0000 1,605.321 • 1,605.321 • 0.0391 . 0.0768 • 1,629.181 5 ; 5 ; ; 4

0.4202 • 0.0000 1,576.952 • 1,576.952 • ▪ 0.0381 0.0750 T 1,600.240 1 ; 1 ; ; 0

0.4199 0.0000 1,562.485 • 1,562.485 • 0.0374 . 0.0739 • 1,585.431 7 : 7 1 ; 4
y

0.4137 7 0.0000 1,555.717 • 1,555.717 • ▪ 0.0360 : 0.0732 T 1,578.428 2 : 2 1 5
i
,

0.4153 0.0000 1,561.677 • 1,561.677 • • 0.0362 . 0.0735 T 1,584.476 8 8 1 1 1
y

0.4137 7 0.0000 1,555.717 • 1,555.717 • ▪ 0.0360 : 0.0732 T 1,578.428 2 : 2 1 5
i , ,

0.4137 0.0000 1,555.717 • 1,555.717 • • 0.0360 I 0.0732 T 1,578.428 2 : 2 : : 5

0.4122

0.0000
1,549.756 • 1,549.756 • 0.0359 I 0.0729 • 1,572.380
6 6 9
•

CalEEMod Version: CalEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Year
tons/yr
MT/yr
2040 • 2.1535 • 1.3633 • 3.5119 • 0.0106 • 0.8574 • 0.0170 • 0.8743 • 0.2297 • 0.0167 • 0.2464 ; 0.0000 • 1,007.149 • 1,007.149 • 0.0239 • 0.0386 • 1,019.248 0 : 0 ; 7
-I
•4
2041 • 0.1613 • 0.5044 • 2.3189 • 5.0100e- • 0.2791 • 0.0138 • 0.2929 • 0.0742 • 0.0138 T 0.0879 0.0000 457.4352 • 457.4352 • 0.0116 • 3.5000e- T 458.7693 003 003
• •
•� 4
2042 •• 3.8200e- • 8.5400e- • 0.0457 • 1.4000e- • 0.0192 • 1.1000e- • 0.0193 • 5.1000e- • 1.0000e- T 5.2100e- 0.0000 14.1162 • 14.1162 • 2.2000e- • 2.4000e- T 14.1934 003
003
004
004
003
004
003
004
004
Maximum

2.1535

11.0056

9.9399

0.0277

3.5221

0.4923

4.0145

1.4158

0.4553

1.8711

0.0000
2,527.355
2,527.355

0.4162

0.0976
2,565.029
8 8
7 2.1 Overall Construction
Mitigated Construction
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Year
tons/yr
MT/yr
2021
2022
2023
2024
2025
2026
2027
2028
MO
••
••
N
MP
•▪ r

0.0531

0.5195
•

1.1886 ▪ 11.0056 •

1.1258 • ▪ 8.0825 •
1 1
1 1
1 1

0.5825 3.1094 •
1 1

0.5633 3.0629 •
Y Y

3.0116 •

0.6786

0.6029

0.5425

3.7142

3.1611

0.3635 • 6.6000e-
004
•

9.0932 • ▪ 0.0202
•
1 �

2.3800e- •
003

3.5221 •
1 • 0.0280

0.0256 • 6.3000e- •
004

0.4923 • 4.0145 • 1.4158 •
1 0.0238

0.0244

0.0000 58.0477 58.0477 0.0159 6.0000e- • 58.4624
• 005
y t 1

0.4553 1.8711 0.0000 1,796.723 • 1,796.723 • 0.4162 0.0299 • 1,816.035 9 9 • 0
4 1 1

9.9399 • 0.0277 • 3.0095 • 0.2938 • 3.3032 • 0.9087 • 0.2725 • 1.1812 ; 0.0000 • 2,527.354 • 2,527.354 • 0.3434 • 0.0976 • 2,565.028 i 6 : 6 : 5
1 1 1 1 1 1 T 4 1 1 1

6.2428 • 0.0197 • 2.2807 • 0.1087 • 2.3894 • 0.5116 • 0.1019 • 0.6136 ; 0.0000 1,830.486 • 1,830.486 • 0.1276 • 0.0947 T 1,861.894 i 5 : 5 • , 6
1 1 1 1 1 1 T 4 1 1 -

5.6774 • 0.0185 • 1.4670 • 0.0820 • 1.5490 • 0.3933 • 0.0771 • 0.4704 ; 0.0000 1,731.374 • 1,731.374 • 0.1052 • 0.0913 T 1,761.212 i 7 : 7 : 7
1 1 1 1 1 1 T 4 1 1 1

5.4903 • 0.0181 1.4670 •

5.3292 • 0.0177 • 1.4670 •
Y Y Y

5.1743 • 0.0173 1.4614 •

0.0815 • 1.5485 • 0.3933 •
1 1 1

0.0810 • 1.5481 • 0.3933 : 0.0762
Y Y Y

0.0802 • 1.5417 • 0.3918 • 0.0755

0.0767 0.4700 ; 0.0000 1,701.253 • 1,701.253 • 0.1034 0.0886 • 1,730.236 8 : 8 7
4 1 1 1

0.4695 ; 0.0000 1,672.036 • 1,672.036 • 0.1018 • 0.0860 • 1,700.214 i 7 : 7 : 6
i r Y Y Y Y

0.4672 • 0.0000 1,638.870 . 1,638.870 . 0.1000 • 0.0834 • 1,666.218 0 0 0

CalEEMod Version: CalEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Year
tons/yr
MT/yr
2029
• 0.5263 • 2.9854 • 5.0754 • 0.0170 • 1.4671 • 0.0800 • 1.5471 • 0.3933 • 0.0753 • 0.4686 7 0.0000 • 1,619.868 • 1,619.868 • 0.0992 • 0.0815 • 1,646.643 8 : 8 ; 2
2030
• 0.5012 • 2.3630 • 4.9845 • 0.0173 • 1.4671 • 0.0301 • 1.4972 • 0.3933 • 0.0295 T 0.4228 0.0000 1,637.725 • 1,637.725 • 0.0408 • 0.0796 T 1,662.475 2 : 2 : 5
•�
1 2031
• 0.4836 • 2.3359 • 4.8960 • 0.0170 • 1.4671 • 0.0297 • 1.4968 • 0.3933 • 0.0291 T 0.4224 7 0.0000 1,617.368 • 1,617.368 • 0.0398 • 0.0780 T 1,641.594 6 6 5
•
4 2032
• 0.4689 • 2.3214 • 4.8380 • 0.0168 • 1.4727 • 0.0295 • 1.5022 • 0.3948 • 0.0289 T 0.4237 0.0000 1,605.321 • 1,605.321 • 0.0391 • 0.0768 T 1,629.181 1 : 1 0
•�
• • 1 • • • • • • • • 1
4 2033
• 0.4513 • 2.2844 • 4.7368 • 0.0165 • 1.4615 • 0.0289 • 1.4904 • 0.3918 • 0.0284 T 0.4202 0.0000 1,576.951 • 1,576.951 • 0.0381 • 0.0750 T 1,600.239 4 2034
• 0.4390 • 2.2677 • 4.6808 • 0.0163 • 1.4615 • 0.0286 • 1.4901 • 0.3918 • 0.0281 T 0.4199 0.0000 1,562.485 • 1,562.485 • 0.0374 • 0.0739 T 1,585.431 3 3 0
• •
•�
1 2035
• 0.4173 • 2.1605 • 4.6448 • 0.0162 • 1.4671 • 0.0209 • 1.4881 • 0.3933 • 0.0204 T 0.4137 7 0.0000 1,555.716 • 1,555.716 • 0.0360 • 0.0732 T 1,578.428 8 8 1
• • • • • 1 • • • • • •
2036
• 0.4189 • 2.1687 • 4.6626 • 0.0162 • 1.4727 • 0.0210 • 1.4938 • 0.3948 • 0.0205 T 0.4153 0.0000 1,561.677 • 1,561.677 • 0.0362 • 0.0735 T 1,584.475 4 : 4 : 7
•�
y
2037
• 0.4173 • 2.1605 • 4.6448 • 0.0162 • 1.4671 • 0.0209 • 1.4881 • 0.3933 • 0.0204 T 0.4137 7 0.0000 1,555.716 • 1,555.716 • 0.0360 • 0.0732 T 1,578.428 8 8 1
• • • • • 1 • • • • • •
•
4 2038
• 0.4173 • 2.1605 • 4.6448 • 0.0162 • 1.4671 • 0.0209 • 1.4881 • 0.3933 • 0.0204 T 0.4137 0.0000 1,555.716 • 1,555.716 • 0.0360 • 0.0732 T 1,578.428 8 8 1
•�
4 2039
• 0.4157 • 2.1522 • 4.6270 • 0.0161 • 1.4615 • 0.0209 • 1.4824 • 0.3918 • 0.0204 T 0.4122 0.0000 1,549.756 • 1,549.756 • 0.0359 • 0.0729 T 1,572.380 2 : 2 : 5
2040
• 2.1535 • 1.3633 • 3.5119 • 0.0106 • 0.8574 • 0.0170 • 0.8743 • 0.2297 • 0.0167 T 0.2464 0.0000 1,007.148 • 1,007.148 • 0.0239 • 0.0386 T 1,019.248 6 6 3
•�
4 2041
• 0.1613 • 0.5044 • 2.3189 • 5.0100e- • 0.2791 • 0.0138 • 0.2929 • 0.0742 • 0.0138 T 0.0879 0.0000 457.4348 • 457.4348 • 0.0116 • 3.5000e- T 458.7690 003 003
•�
4 2042 ••

3.8200e- • 8.5400e- • 0.0457 • 1.4000e- • 0.0192 • 1.1000e- • 0.0193 • 5.1000e- • 1.0000e- T 5.2100e- 0.0000 14.1162 • 14.1162 • 2.2000e- • 2.4000e- T 14.1934 003
003
004
004
003
004
003
004
004
Maximum

2.1535

11.0056

9.9399

0.0277

3.5221

0.4923

4.0145

1.4158

0.4553

1.8711

0.0000
2,527.354
2,527.354

0.4162

0.0976
2,565.028
II
6 6
5 ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio-CO2
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 0.00

0.00 0.00

0.00 0.00

CalEEMod Version: CaIEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied Quarter
Start Date
End Date
Maximum Unmitigated ROG + NOX (tons/quarter)
Maximum Mitigated ROG + NOX (tons/quarter)
1 11-17-2021
2-16-2022

1.0355

1.0355
2 2-17-2022
5-16-2022

2.3928

2.3928
3 5-17-2022
8-16-2022

3.5283

3.5283
4 8-17-2022
11-16-2022

4.0777

4.0777
5 11-17-2022
2-16-2023

3.0019

3.0019
6 2-17-2023
5-16-2023

2.2276

2.2276
7 5-17-2023
8-16-2023

2.2871

2.2871
8 8-17-2023
11-16-2023

2.3035

2.3035
9 11-17-2023
2-16-2024

2.0358

2.0358
10 2-17-2024
5-16-2024

0.9784

0.9784
11 5-17-2024
8-16-2024

0.9853

0.9853
12 8-17-2024
11-16-2024

1.0008

1.0008
13 11-17-2024
2-16-2025

0.9870

0.9870
14 2-17-2025
5-16-2025

0.9138

0.9138
15 5-17-2025
8-16-2025

0.9306

0.9306
16 8-17-2025
11-16-2025

0.9454

0.9454
17 11-17-2025
2-16-2026

0.9502

0.9502
18 2-17-2026
5-16-2026

0.8965

0.8965
19 5-17-2026
8-16-2026

0.9132

0.9132
20 8-17-2026
11-16-2026

0.9275

0.9275
21 11-17-2026
2-16-2027

0.9325

0.9325
22 2-17-2027
5-16-2027

0.8807

0.8807
23 5-17-2027
8-16-2027

0.8974

0.8974
24 8-17-2027
11-16-2027

0.9111

0.9111
25 11-17-2027
2-16-2028

0.9166

0.9166
26 2-17-2028
5-16-2028

0.8765

0.8765
27 5-17-2028
8-16-2028

0.8833

0.8833
28 8-17-2028
11-16-2028

0.8965

0.8965

CalEEMod Version: CaIEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied 29 11-17-2028
2-16-2029

0.9019

0.9019
30 2-17-2029
5-16-2029

0.8531

0.8531
31 5-17-2029
8-16-2029

0.8697

0.8697
32 8-17-2029
11-16-2029

0.8825

0.8825
33 11-17-2029
2-16-2030

0.8113

0.8113
34 2-17-2030
5-16-2030

0.6954

0.6954
35 5-17-2030
8-16-2030

0.7071

0.7071
36 8-17-2030
11-16-2030

0.7195

0.7195
37 11-17-2030
2-16-2031

0.7255

0.7255
38 2-17-2031
5-16-2031

0.6846

0.6846
39 5-17-2031
8-16-2031

0.6963

0.6963
40 8-17-2031
11-16-2031

0.7083

0.7083
41 11-17-2031
2-16-2032

0.7145

0.7145
42 2-17-2032
5-16-2032

0.6826

0.6826
43 5-17-2032
8-16-2032

0.6866

0.6866
44 8-17-2032
11-16-2032

0.6982

0.6982
45 11-17-2032
2-16-2033

0.7050

0.7050
46 2-17-2033
5-16-2033

0.6667

0.6667
47 5-17-2033
8-16-2033

0.6785

0.6785
48 8-17-2033
11-16-2033

0.6898

0.6898
49 11-17-2033
2-16-2034

0.6968

0.6968
50 2-17-2034
5-16-2034

0.6596

0.6596
51 5-17-2034
8-16-2034

0.6713

0.6713
52 8-17-2034
11-16-2034

0.6825

0.6825
53 11-17-2034
2-16-2035

0.6751

0.6751
54 2-17-2035
5-16-2035

0.6257

0.6257
55 5-17-2035
8-16-2035

0.6364

0.6364
56 8-17-2035
11-16-2035

0.6474

0.6474
57 11-17-2035
2-16-2036

0.6578

0.6578

CalEEMod Version: CaIEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied 58 2-17-2036
5-16-2036

0.6328

0.6328
59 5-17-2036
8-16-2036

0.6364

0.6364
60 8-17-2036
11-16-2036

0.6474

0.6474
61 11-17-2036
2-16-2037

0.6578

0.6578
62 2-17-2037
5-16-2037

0.6257

0.6257
63 5-17-2037
8-16-2037

0.6364

0.6364
64 8-17-2037
11-16-2037

0.6474

0.6474
65 11-17-2037
2-16-2038

0.6578

0.6578
66 2-17-2038
5-16-2038

0.6257

0.6257
67 5-17-2038
8-16-2038

0.6364

0.6364
68 8-17-2038
11-16-2038

0.6474

0.6474
69 11-17-2038
2-16-2039

0.6578

0.6578
70 2-17-2039
5-16-2039

0.6257

0.6257
71 5-17-2039
8-16-2039

0.6364

0.6364
72 8-17-2039
11-16-2039

0.6474

0.6474
73 11-17-2039
2-16-2040

0.6391

0.6391
74 2-17-2040
5-16-2040

0.5978

0.5978
75 5-17-2040
8-16-2040

0.4556

0.4556
76 8-17-2040
11-16-2040

0.8376

0.8376
77 11-17-2040
2-16-2041

1.4067

1.4067
78 2-17-2041
5-16-2041

0.1910

0.1910
79 5-17-2041
8-16-2041

0.1964

0.1964
80 8-17-2041
11-16-2041

0.1555

0.1555
81 11-17-2041
2-16-2042

0.0344

0.0344
Highest

4.0777

4.0777

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

2.2 Overall Operational
Unmitigated Operational
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Area
. 9.0943 . 0.1741 . 15.0840 . 8.0000e- 0.0840 0.0840 0.0840 i 0.0840 S 0.0000

24.7522 i 24.7522 i 0.0236 0.0000 25.3423
Energy
Mobile
Waste
Water
7 . 0.1046 .
7 . 1.3370 •
l
:
7 l

0.9224
l

1.5521
-I
-I
l
' 0.5904 .
,
. 14.8323 •
-I
: :
-I
004
l

5.7000e-
003
l

0.0339
-I
-I
l
.
l
• 5.0175 '
l
:
l
l
' 0.0723 .
,

0.0178 •
-,
: 0.0000 :
,
: 0.0000 :
l

0.0723
l

5.0352
l

0.0000
l

0.0000
l
. .
,
. 1.3382 •
l
: :
,
: :

0.0723 .
-r

0.0166 •
-r

0.0000 :
-r

0.0000 :

T t

0.0723 i 0.0000
t

1.3548 S 0.0000
t

0.0000 i 266.5109
'f

0.0000 s 55.4858
l
2,520.696
4 -,
3,423.244
3 -,

0.0000
-,
122.6841
,
. 2,520.696 .
4 l
. 3,423.244 '
3 -,
: 266.5109 :
l
: 178.1699 :
,

0.2602
l

0.1625
l

15.7503
l

5.7188
. 0.0481 ? 2,541.537
5 ' 0.1342 T 3,467.282
6 : 0.0000 ? 660.2695
: 0.1370 T 361.9562
Total II

10.5359

2.6486

30.5066

0.0404

5.0175

0.1740

5.1915

1.3382

0.1729

1.5110
321.9967
6,091.377
0 6,413.373
7 21.9154

0.3192
7,056.388
0 CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

2.2 Overall Operational
Mitigated Operational
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
w
Area
. 9.0943 . 0.1741 . 15.0840 . 8.0000e- 0.0840 0.0840 0.0840 i 0.0840 S 0.0000

24.7522 i 24.7522 0.0236 0.0000 25.3423
Energy r.

Mobile
Waste
Water
7 0.1046 •
7 . 1.3370 '
l
:
7 l

0.9224
l

1.5521
l
l
l
' 0.5904 •
,
. 14.8323 '
l
l
:
004
l

5.7000e-
003
l

0.0339
l
l
l
•
l
' 5.0175 '
l
:
l
:
l
' 0.0723 •
,

0.0178 '
l
: 0.0000 :
,
: 0.0000 :
l

0.0723
,

5.0352
l

0.0000
,

0.0000
l
. •
,
. 1.3382 '
l
: :
,
: :

0.0723 .

0.0166 '

0.0000 :

0.0000 :

T *

0.0723 i 0.0000
T w

1.3548 S 0.0000
T *

0.0000 i 266.5109
T 'f

0.0000 S 44.3887
l
2,520.696
4 l
3,423.244
3 l

0.0000
l
105.1721
,
. 2,520.696 '
4 ,
. 3,423.244 '
3 ,
: 266.5109 :
,
: 149.5607 :
,

0.2602
,

0.1625
,

15.7503
,

4.5762
. 0.0481 ? 2,541.537
5 ' 0.1342 T 3,467.282
6 : 0.0000 ? 660.2695
: 0.1097 T 296.6592
Total II

10.5359

2.6486

30.5066

0.0404

5.0175

0.1740

5.1915

1.3382

0.1729

1.5110
310.8995
6,073.864
9 6,384.764
5 20.7727

0.2920
6,991.091
1 ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio-CO2
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

3.45 0.29

0.45 5.21

8.54 0.93

3.0 Construction Detail
Construction Phase
Phase
Number
Phase Name
Phase Type
Start Date
End Date
Num Days
Week
Num Days
Phase Description
1 :Demolition
2 :Site Preparation
3 :Grading
:Demolition
:Site Preparation
:Grading
:11/17/2021
2/23/2022
:1/10/2023 i 5:
4 :11/1/2022 5:
4/20/2022 :1/30/2024
300:
180:
5: 465:

CaIEEMod Version: CaIEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied 4 •Building Construction :Building Construction 9/21/2022 •7/17/2040 5: 46501 } I 4 + + +
5 :Paving :Paving i 7/18/2040 :10/22/2041 5: 330:
6 :Architectural Coating :Architectural Coating ;10/23/2040 ;1/27/2042 5; 330; •
Acres of Grading (Site Preparation Phase): 270
Acres of Grading (Grading Phase): 1395
Acres of Paving: 0
Residential Indoor: 2,251,800; Residential Outdoor: 750,600; Non -Residential Indoor: 1,174,905; Non -Residential Outdoor: 391,635; Striped Parking Area: 0 (Architectural Coating — sqft)
OffRoad Equipment
Phase Name
Offroad Equipment Type
Amount
Usage Hours
Horse Power
Load Factor
Demolition :Concrete/Industrial Saws
Demolition
:Excavators
Demolition :Rubber Tired Dozers
Site Preparation :Rubber Tired Dozers
Site Preparation •Tractors/Loaders/Backhoes
Grading
Grading
:Excavators
:Graders
Grading :Rubber Tired Dozers
Grading
:Scrapers
Grading :Tractors/Loaders/Backhoes
Building Construction
Building Construction
Building Construction
:Cranes
• Forklifts
:Generator Sets
Building Construction •Tractors/Loaders/Backhoes
Building Construction
Paving
:Welders
:Pavers
1 3�

8.00 }

8.00 81: 0.73
158: 0.38
2 8.00 247: 0.40
3� 8.00! 247: 0.40
41 8.00 F 97' 0.37
22 8.00 } 158: 0.38
, I
1 8.00. 187: 0.41
1'
}

8.00 247: 0.40

2.1 8.00 F 367: 0.48
I
2 8.00. 97: 0.37
, 7.00} 1 231: 0.29
3' 8.00! 89: 0.20
}

8.00 84: 0.74
3� 7.00 } 97: 0.37
}
1 8.00. 46: 0.45
2� 8.00 } 130: 0.42
Paving :Paving Equipment
2: 8.00
132: 0.36

CaIEEMod Version: CaIEEMod.2020.4.0

Date: 11/30/2021 1:50 PM
Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied Paving
Architectural Coating
• Rollers
E
:Air Compressors
2'
I•
1'

8.00'
80' 0.38
+ 1.

6.00'
78' 0.48
Trips and VMT
Phase Name
Offroad Equipment
Count
Worker Trip
Number
Vendor Trip
Number
Hauling Trip
Number
Worker Trip
Length
Vendor Trip
Length
Hauling Trip
Length
Worker Vehicle
Class
Vendor
Vehicle Class
Hauling
Vehicle Class
Demolition
Site Preparation
Grading
Building Construction
Paving
•
9i 1,051.00' 247.00' 0.00 • 13.00' 5.00' 20.00' LD_Mix
6i 15.00 0.00' 0.00' 13.00: 5.00' 20.00'LD Mix HHDT Mix 'HHDT 1 i - 1 -
1-
6: 15.00' 0.00' 0.00 • 13.00 i 5.00' 20.00' LD_Mix
I- : - - --I 4 I I
7' 18.00' 0.00 0.00• 13.00 5.00 20.00'LD_Mix 'HDT_Mix
I- : -- - - --I I I
8 20.00' 0.00'I 0.00' 13.00 5.00 20.00'LD_Mix 'HDT_Mix
: .- ---- - --
: HDT_Mix
I
:HDT_Mix
HHDT
:HHDT
:HHDT
:HHDT
Architectural Coating : 1' 210.00' 0.00' 0.00' 13.00' 5.00' 20.00'LD_Mix 'HDT_Mix :HHDT •

3.1 Mitigation Measures Construction

3.2 Demolition - 2021
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
•.

0.0522 . 0.5188 ' 0.3558 ' 6.4000e- ' ' 0.0256 ' 0.0256 ' ' 0.0238 ' 0.0238 ; 0.0000 ' 56.1013 ' 56.1013 ' 0.0158 ' 0.0000 ' 56.4961 004
, ,
, ,
,
, i
Total

0.0522

0.5188

0.3558

6.4000e-

0.0256

0.0256

0.0238

0.0238

0.0000

56.1013

56.1013

0.0158

0.0000

56.4961
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2021
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
l l l l l l l l T 'i
l l l
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 T 0.0000
l , , , , -, l , T 4
l l l
Worker •.

9.0000e- , 7.4000e- , 7.7100e- , 2.0000e- , 2.3800e- , 1.0000e- , 2.4000e- , 6.3000e- , 1.0000e- , 6.5000e- S 0.0000

1.9465 , 1.9465 , 6.0000e- 6.0000e- T 1.9664
004
004
003
005
003
005
003
004
005
004
005
005
Total

9.0000e-

7.4000e-

7.7100e-

2.0000e-

2.3800e-

1.0000e-

2.4000e-

6.3000e-

1.0000e-

6.5000e-

0.0000

1.9465

1.9465

6.0000e-

6.0000e-

1.9664
ll
004
004
003
005
003
005
003
004
005
004
005
005
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
. 0.0522 , 0.5188 , 0.3558 , 6.4000e- , • 0.0256 : 0.0256 • • 0.0238 : 0.0238 a 0.0000 , 56.1012 • 56.1012 • 0.0158 : 0.0000 • 56.4960 004
Total

0.0522

0.5188

0.3558

6.4000e-

0.0256

0.0256

0.0238

0.0238

0.0000

56.1012

56.1012

0.0158

0.0000

56.4960
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2021
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , r 1
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 T 0.0000
l , , , , -, l , T 4
l l l
Worker •.

9.0000e- , 7.4000e- , 7.7100e- , 2.0000e- , 2.3800e- , 1.0000e- , 2.4000e- , 6.3000e- , 1.0000e- , 6.5000e- S 0.0000

1.9465 , 1.9465 , 6.0000e- 6.0000e- T 1.9664
004
004
003
005
003
005
003
004
005
004
005
005
Total

9.0000e-

7.4000e-

7.7100e-

2.0000e-

2.3800e-

1.0000e-

2.4000e-

6.3000e-

1.0000e-

6.5000e-

0.0000

1.9465

1.9465

6.0000e-

6.0000e-

1.9664
ll
004
004
003
005
003
005
003
004
005
004
005
005

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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road

0.3431 3.3435 2.6772 5.0500e- • 0.1615 : 0.1615 • • 0.1502 : 0.1502 y 0.0000 , 441.8730 • 441.8730 : 0.1241 : 0.0000 • 444.9759 003
Total

0.3431

3.3435

2.6772

5.0500e-

0.1615

0.1615

0.1502

0.1502

0.0000
441.8730
441.8730

0.1241

0.0000
444.9759
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2022
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
l l l l l l l l -r 1
l l l
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 T 0.0000
l , , , , -, l , T 4
l l l
Worker •.

6.6300e- ' 5.1100e- , 0.0559 , 1.6000e- , 0.0188 , 1.0000e- , 0.0189 • 4.9900e- , 9.0000e- , 5.0800e- S 0.0000

14.9526 , 14.9526 , 4.4000e- , 4.5000e- T 15.0970
003
003
004
004
003
005
003
004
004
Total

6.6300e-

5.1100e-

0.0559

1.6000e-

0.0188

1.0000e-

0.0189

4.9900e-

9.0000e-

5.0800e-

0.0000

14.9526

14.9526

4.4000e-

4.5000e-

15.0970
ll
003
003
004
004
003
005
003
004
004
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road

0.3431 3.3435 2.6772 5.0500e- • 0.1615 • 0.1615 • • 0.1502 • 0.1502 y 0.0000 • 441.8724 • 441.8724 • 0.1241 • 0.0000 • 444.9754 003
Total

0.3431

3.3435

2.6772

5.0500e-

0.1615

0.1615

0.1502

0.1502

0.0000
441.8724
441.8724

0.1241

0.0000
444.9754
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2022
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , r 1
, , n
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 T 0.0000
l , , , , -, l , T 4
l l l
Worker •.

6.6300e- ' 5.1100e- , 0.0559 , 1.6000e- , 0.0188 , 1.0000e- , 0.0189 • 4.9900e- , 9.0000e- , 5.0800e- S 0.0000

14.9526 , 14.9526 , 4.4000e- , 4.5000e- T 15.0970
003
003
004
004
003
005
003
004
004
Total

6.6300e-

5.1100e-

0.0559

1.6000e-

0.0188

1.0000e-

0.0189

4.9900e-

9.0000e-

5.0800e-

0.0000

14.9526

14.9526

4.4000e-

4.5000e-

15.0970
ll
003
003
004
004
003
005
003
004
004

3.2 Demolition - 2023
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
•.

7.9400e- • 0.0752 • 0.0688 • 1.4000e- • • 3.4900e- • 3.4900e- • • 3.2500e- • 3.2500e- 0.0000 • 11.8972 • 11.8972 • 3.3300e- • 0.0000 • 11.9805 003
i
004
i
003
003
i
003
i 003 i
i
003
i
Total

7.9400e-

0.0752

0.0688

1.4000e-

3.4900e-

3.4900e-

3.2500e-

3.2500e-

0.0000

11.8972

11.8972

3.3300e-

0.0000

11.9805
II
003
004
003
003
003
003
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2023
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
, , -I -, , -r 1
, , n
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 T 0.0000
l , , l , -, l , r 4
l l l
Worker •.

1.7000e- ' 1.2000e- , 1.3900e- , 0.0000 ' 5.1000e- , 0.0000 , 5.1000e- • 1.3000e- , 0.0000 1.4000e- S 0.0000

0.3927 • 0.3927 • 1.0000e- ' 1.0000e- T 0.3963
004
004
003
004
004
004
004
005
005
Total

1.7000e-

1.2000e-

1.3900e-

0.0000

5.1000e-

0.0000

5.1000e-

1.3000e-

0.0000

1.4000e-

0.0000

0.3927

0.3927

1.0000e-

1.0000e-

0.3963
ll
004
004
003
004
004
004
004
005
005
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
•.

7.9400e- • 0.0752 • 0.0688 • 1.4000e- • • 3.4900e- • 3.4900e- • • 3.2500e- • 3.2500e- 0.0000 • 11.8972 • 11.8972 • 3.3300e- • 0.0000 • 11.9805 003
i
004
i
003
003
i
003
i 003 i
i
003
i
Total

7.9400e-

0.0752

0.0688

1.4000e-

3.4900e-

3.4900e-

3.2500e-

3.2500e-

0.0000

11.8972

11.8972

3.3300e-

0.0000

11.9805
II
003
004
003
003
003
003
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.2 Demolition - 2023
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 • 0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 • 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
l l l l l l l l T 1
l l l
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , l , l l , T 4
l l l
Worker ••

1.7000e- • 1.2000e- • 1.3900e- • 0.0000 • 5.1000e- • 0.0000 • 5.1000e- • 1.3000e- • 0.0000 1.4000e- S 0.0000

0.3927 • 0.3927 • 1.0000e- • 1.0000e- T 0.3963
004
004
003
004
004
004
004
005
005
Total

1.7000e-

1.2000e-

1.3900e-

0.0000

5.1000e-

0.0000

5.1000e-

1.3000e-

0.0000

1.4000e-

0.0000

0.3927

0.3927

1.0000e-

1.0000e-

0.3963
ll
004
004
003
004
004
004
004
005
005

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
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
: : : : 1.7691 : 0.0000 : 1.7691 : 0.9092 : 0.0000 : 0.9092 a 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
-, 1 7 1 9 -, 1 7 T 4
7 7 4
Off -Road ••

0.2853 • 2.9775 • 1.7728 , 3.4200e- • • 0.1451 • 0.1451 • • 0.1335 • 0.1335 A. 0.0000 300.9545 , 300.9545 , 0.0973 • 0.0000 • 303.3879
003
Total
n 0.2853

2.9775

1.7728

3.4200e-

1.7691

0.1451

1.9143

0.9092

0.1335

1.0427

0.0000
300.9545
300.9545

0.0973

0.0000
303.3879
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.3 Site Preparation - 2022
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
n 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
l l l l l l l l -r 1
l l l
Vendor in

0.0000 : 0.0000 , 0.0000 , 0.0000 , 0.0000 , 0.0000 , 0.0000 , 0.0000 , 0.0000 , 0.0000 $ 0.0000

0.0000 , 0.0000 , 0.0000 , 0.0000 T 0.0000
l , , , , l l , T 4
l l l
Worker
n 5.5100e- ' 4.2500e- , 0.0464 , 1.3000e- , 0.0156 , 8.0000e- , 0.0157 , 4.1400e- , 7.0000e- , 4.2200e- S 0.0000

12.4222 , 12.4222 , 3.7000e- , 3.7000e- T 12.5421
003
003
004
005
003
005
003
004
004
Total

5.5100e-

4.2500e-

0.0464

1.3000e-

0.0156

8.0000e-

0.0157

4.1400e-

7.0000e-

4.2200e-

0.0000

12.4222

12.4222

3.7000e-

3.7000e-

12.5421
ll
003
003
004
005
003
005
003
004
004
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
: : : : 1.7691 : 0.0000 : 1.7691 : 0.9092 : 0.0000 : 0.9092 y 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
-, 1 7 1 9 -, 1 7 T 4
7 7 1
Off -Road
n 0.2853 , 2.9775 • 1.7728 , 3.4200e- , , 0.1451 • 0.1451 • • 0.1335 , 0.1335 A. 0.0000 300.9542 , 300.9542 , 0.0973 , 0.0000 , 303.3875
003
Total
n 0.2853

2.9775

1.7728

3.4200e-

1.7691

0.1451

1.9143

0.9092

0.1335

1.0427

0.0000
300.9542
300.9542

0.0973

0.0000
303.3875
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.3 Site Preparation - 2022
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 • 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
4 , -r 1
, , n
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , , l l , T 4
l l l
Worker ••

5.5100e- • 4.2500e- • 0.0464 • 1.3000e- • 0.0156 • 8.0000e- • 0.0157 • 4.1400e- • 7.0000e- • 4.2200e- S 0.0000

12.4222 • 12.4222 • 3.7000e- • 3.7000e- T 12.5421
003
003
004
005
003
005
003
004
004
Total

5.5100e-

4.2500e-

0.0464

1.3000e-

0.0156

8.0000e-

0.0157

4.1400e-

7.0000e-

4.2200e-

0.0000

12.4222

12.4222

3.7000e-

3.7000e-

12.5421
II
003
003
004
005
003
005
003
004
004

3.4 Grading - 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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
i : : : 1.2907 : 0.0000 : 1.2907 : 0.3828 : 0.0000 : 0.3828 j 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
9 1 7 l 9 1 1 7 T 4
7 7 1
Off -Road ••

0.3317 • 3.5542 • 2.6573 • 5.6800e- . • 0.1496 • 0.1496 • • 0.1376 . 0.1376 i 0.0000 498.9916 • 498.9916 • 0.1614 . 0.0000 • 503.0262
003
Total
n 0.3317

3.5542

2.6573

5.6800e-

1.2907

0.1496

1.4403

0.3828

0.1376

0.5204

0.0000
498.9916
498.9916

0.1614

0.0000
503.0262
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2022
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 • 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
4 , -r 1
, , n
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , -• l l , T 4
l l l
Worker ••

6.2200e- • 4.8000e- • 0.0525 • 1.5000e- • 0.0176 • 9.0000e- • 0.0177 • 4.6800e- • 8.0000e- • 4.7700e- S 0.0000

14.0324 • 14.0324 • 4.2000e- • 4.2000e- T 14.1680
003
003
004
005
003
005
003
004
004
Total

6.2200e-

4.8000e-

0.0525

1.5000e-

0.0176

9.0000e-

0.0177

4.6800e-

8.0000e-

4.7700e-

0.0000

14.0324

14.0324

4.2000e-

4.2000e-

14.1680
ll
003
003
004
005
003
005
003
004
004
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
i : : : 1.2907 : 0.0000 : 1.2907 : 0.3828 : 0.0000 : 0.3828 j 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
9 1 7 l 9 -, 1 7 T 4
7 7 1
Off -Road ••

0.3317 • 3.5542 • 2.6573 • 5.6800e- . • 0.1496 • 0.1496 • • 0.1376 . 0.1376 i 0.0000 498.9910 • 498.9910 • 0.1614 . 0.0000 • 503.0256
003
Total
n 0.3317

3.5542

2.6573

5.6800e-

1.2907

0.1496

1.4403

0.3828

0.1376

0.5204

0.0000
498.9910
498.9910

0.1614

0.0000
503.0256
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2022
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 • 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
l l l l l l l l -r 1
l l l
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , , l l , T 4
l l l
Worker ••

6.2200e- • 4.8000e- • 0.0525 • 1.5000e- • 0.0176 • 9.0000e- • 0.0177 • 4.6800e- • 8.0000e- • 4.7700e- S 0.0000

14.0324 • 14.0324 • 4.2000e- • 4.2000e- T 14.1680
003
003
004
005
003
005
003
004
004
Total

6.2200e-

4.8000e-

0.0525

1.5000e-

0.0176

9.0000e-

0.0177

4.6800e-

8.0000e-

4.7700e-

0.0000

14.0324

14.0324

4.2000e-

4.2000e-

14.1680
ll
003
003
004
005
003
005
003
004
004

3.4 Grading - 2023
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
: : : : 1.5226 : 0.0000 : 1.5226 : 0.5102 : 0.0000 : 0.5102 j 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
-, 1 7 l 9 -, 1 7 T 4
-. 7 1
Off -Road ••

0.4318 • 4.4870 • 3.6467 • 8.0700e- • • 0.1852 • 0.1852 • • 0.1704 • 0.1704 i 0.0000 708.9577 • 708.9577 • 0.2293 . 0.0000 • 714.6900
003
Total
n 0.4318

4.4870

3.6467

8.0700e-

1.5226

0.1852

1.7078

0.5102

0.1704

0.6806

0.0000
708.9577
708.9577

0.2293

0.0000
714.6900
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2023
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
l l l l l l l l T 1
l l l
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , -• l l , T 4
l l l
Worker ••

8.2900e- • 6.0300e- • 0.0688 • 2.1000e- • 0.0250 • 1.2000e- • 0.0252 • 6.6500e- • 1.1000e- • 6.7700e- S 0.0000

19.4491 • 19.4491 • 5.4000e- • 5.5000e- T 19.6269
003
003
004
004
003
004
003
004
004
Total

8.2900e-

6.0300e-

0.0688

2.1000e-

0.0250

1.2000e-

0.0252

6.6500e-

1.1000e-

6.7700e-

0.0000

19.4491

19.4491

5.4000e-

5.5000e-

19.6269
ll
003
003
004
004
003
004
003
004
004
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
: : : : 1.5226 : 0.0000 : 1.5226 : 0.5102 : 0.0000 : 0.5102 j 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
-• 1 7 l 9 -, 1 7 T 4
7 7 4
Off -Road ••

0.4318 • 4.4870 • 3.6467 • 8.0700e- • • 0.1852 • 0.1852 • • 0.1704 • 0.1704 A. 0.0000 708.9569 • 708.9569 • 0.2293 . 0.0000 • 714.6891
003
Total
n 0.4318

4.4870

3.6467

8.0700e-

1.5226

0.1852

1.7078

0.5102

0.1704

0.6806

0.0000
708.9569
708.9569

0.2293

0.0000
714.6891
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2023
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
l l l l l l l l T 'i
l l l
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , , l l , T 4
l l l
Worker ••

8.2900e- • 6.0300e- • 0.0688 • 2.1000e- • 0.0250 • 1.2000e- • 0.0252 • 6.6500e- • 1.1000e- • 6.7700e- S 0.0000

19.4491 • 19.4491 • 5.4000e- • 5.5000e- T 19.6269
003
003
004
004
003
004
003
004
004
Total

8.2900e-

6.0300e-

0.0688

2.1000e-

0.0250

1.2000e-

0.0252

6.6500e-

1.1000e-

6.7700e-

0.0000

19.4491

19.4491

5.4000e-

5.5000e-

19.6269
ll
003
003
004
004
003
004
003
004
004

3.4 Grading - 2024
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
• • • • 0.8059 • 0.0000 • 0.8059 • 0.1163 • 0.0000 : 0.1163 i 0.0000 • 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 -, 1 7 1 7 -, 1 7 T 4 4 4 -,
Off -Road ••

0.0354 • 0.3562 • 0.3050 • 6.8000e- , • 0.0147 • 0.0147 , • 0.0135 , 0.0135 A. 0.0000 I 59.9715 • 59.9715 , 0.0194 , 0.0000 • 60.4564 004
Total
n 0.0354

0.3562

0.3050

6.8000e-

0.8059

0.0147

0.8206

0.1163

0.0135

0.1298

0.0000

59.9715

59.9715

0.0194

0.0000

60.4564
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2024
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
• 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 • 0.0000 • 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 • 0.0000 : 0.0000
l l l l l l l l T 1
l l l
Vendor in

0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 • 0.0000 $ 0.0000

0.0000 • 0.0000 • 0.0000 • 0.0000 T 0.0000
l , , , -• l l , T 4
l l l
Worker ••

6.6000e- • 4.6000e- • 5.4200e- • 2.0000e- • 2.1200e- • 1.0000e- • 2.1300e- • 5.6000e- • 1.0000e- • 5.7000e- S 0.0000

1.6068 • 1.6068 • 4.0000e- • 4.0000e- T 1.6207
004
004
003
005
003
005
003
004
005
004
005
005
Total

6.6000e-

4.6000e-

5.4200e-

2.0000e-

2.1200e-

1.0000e-

2.1300e-

5.6000e-

1.0000e-

5.7000e-

0.0000

1.6068

1.6068

4.0000e-

4.0000e-

1.6207
ll
004
004
003
005
003
005
003
004
005
004
005
005
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Fugitive Dust
• • • : 0.8059 : 0.0000 • 0.8059 : 0.1163 : 0.0000 • 0.1163 • 0.0000

0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000
-• 1 7 1 9 -, 1 7 T 4
7 7 4
Off -Road ••

0.0354 , 0.3562 • 0.3050 • 6.8000e- , • 0.0147 • 0.0147 • • 0.0135 , 0.0135 A. 0.0000

59.9714 • 59.9714 , 0.0194 , 0.0000 • 60.4563
004
Total
n 0.0354

0.3562

0.3050

6.8000e-

0.8059

0.0147

0.8206

0.1163

0.0135

0.1298

0.0000

59.9714

59.9714

0.0194

0.0000

60.4563
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.4 Grading - 2024
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
l l l l l l l l T 'i
l l l
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 T 0.0000
l l l l -1 -, -, -. T 4
l l l
Worker •.

6.6000e- , 4.6000e- , 5.4200e- , 2.0000e- , 2.1200e- , 1.0000e- , 2.1300e- , 5.6000e- , 1.0000e- , 5.7000e- S 0.0000

1.6068 , 1.6068 , 4.0000e- ' 4.0000e- T 1.6207
004
004
003
005
003
005
003
004
005
004
005
005
Total

6.6000e-

4.6000e-

5.4200e-

2.0000e-

2.1200e-

1.0000e-

2.1300e-

5.6000e-

1.0000e-

5.7000e-

0.0000

1.6068

1.6068

4.0000e-

4.0000e-

1.6207
ll
004
004
003
005
003
005
003
004
005
004
005
005

3.5 Building Construction - 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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
. 0.0623 , 0.5700 • 0.5973 • 9.8000e- , • 0.0295 : 0.0295 • • 0.0278 : 0.0278 i 0.0000 , 84.5797 • 84.5797 • 0.0203 : 0.0000 • 85.0863

004
Total

0.0623

0.5700

0.5973

9.8000e-

0.0295

0.0295

0.0278

0.0278

0.0000

84.5797

84.5797

0.0203

0.0000

85.0863
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2022
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , r 1
, , n
Vendor
. 0.0174 0.4457 • 0.1343 • 1.3900e- , 0.0410 • 4.3300e- , 0.0453 • 0.0118 , 4.1400e- , 0.0160 $ 0.0000 134.7639 • 134.7639 • 3.1200e- , 0.0199 T 140.7567
003 003 003
003
e.
r 1
n ;
Worker

0.1304 ' 0.1006 • 1.0995 • 3.1900e- , 0.3693 • 1.9200e- • 0.3712 , 0.0982 , 1.7700e- , 0.0999 S 0.0000 294.1557 • 294.1557 • 8.7500e- , 8.8000e- T 296.9966
003
003
003
003
003
Total

0.1479

0.5463

1.2338

4.5800e-

0.4103

6.2500e-

0.4165

0.1100

5.9100e-

0.1159

0.0000
428.9196
428.9196

0.0119

0.0287
437.7533
II
003
003
003
Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
. 0.0623 , 0.5700 , 0.5973 , 9.8000e- , • 0.0295 : 0.0295 • • 0.0278 : 0.0278 a 0.0000 • 84.5796 • 84.5796 • 0.0203 : 0.0000 • 85.0862 004
Total

0.0623

0.5700

0.5973

9.8000e-

0.0295

0.0295

0.0278

0.0278

0.0000

84.5796

84.5796

0.0203

0.0000

85.0862
II
004

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2022
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
, 0.0000 - 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
l l l l l l l l -r 4
l l l
Vendor
. 0.0174 0.4457 • 0.1343 • 1.3900e- , 0.0410 • 4.3300e- , 0.0453 • 0.0118 , 4.1400e- , 0.0160 $ 0.0000 134.7639 • 134.7639 • 3.1200e- , 0.0199 T 140.7567
003 003 003
003
e.
l l l , , l l n T 4
l l l
Worker

0.1304 ' 0.1006 • 1.0995 , 3.1900e- , 0.3693 • 1.9200e- , 0.3712 , 0.0982 , 1.7700e- , 0.0999 S 0.0000 294.1557 • 294.1557 • 8.7500e- , 8.8000e- T 296.9966
003
003
003
003
003
Total

0.1479

0.5463

1.2338

4.5800e-

0.4103

6.2500e-

0.4165

0.1100

5.9100e-

0.1159

0.0000
428.9196
428.9196

0.0119

0.0287
437.7533
II
003
003
003

3.5 Building Construction - 2023
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road . 0.2045 , 1.8700 • 2.1117 , 3.5000e- , • 0.0910 • 0.0910 • • 0.0856 : 0.0856 j 0.0000 • 301.3462 • 301.3462 • 0.0717 : 0.0000 • 303.1383 003
Total

0.2045

1.8700

2.1117

3.5000e-

0.0910

0.0910

0.0856

0.0856

0.0000
301.3462
301.3462

0.0717

0.0000
303.1383
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2023
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , 4- 4
Vendor
. 0.0376 , 1.3269 ' 0.4257 , 4.7700e- , 0.1460 , 7.5200e- , 0.1535 , 0.0422 , 7.2000e- , 0.0494 S 0.0000 463.2648 , 463.2648 , 0.0103 0.0681 T 483.8052
003 003 003
l , , , , l l n T 4
l l l
Worker ..

0.4355 , 0.3171 ' 3.6169 , 0.0110 , 1.3154 , 6.4800e- , 1.3218 • 0.3496 , 5.9700e- , 0.3555 S 0.0000 1,022.048 , 1,022.048 , 0.0282 ' 0.0290 T 1,031.392
003
003
1 1
4 Total

0.4732

1.6441

4.0426

0.0158

1.4614

0.0140

1.4754

0.3918

0.0132

0.4049

0.0000
1,485.313
1,485.313

0.0385

0.0971
1,515.197
II
0 0
7 Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road . 0.2045 • 1.8700 • 2.1117 , 3.5000e- • ' 0.0910 • 0.0910 • ' 0.0856 • 0.0856 j 0.0000 • 301.3458 ' 301.3458 ' 0.0717 • 0.0000 • 303.1380 003
Total

0.2045

1.8700

2.1117

3.5000e-

0.0910

0.0910

0.0856

0.0856

0.0000
301.3458
301.3458

0.0717

0.0000
303.1380
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2023
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , -r 1
Vendor
. 0.0376 , 1.3269 ' 0.4257 , 4.7700e- , 0.1460 , 7.5200e- , 0.1535 • 0.0422 , 7.2000e- , 0.0494 S 0.0000 463.2648 • 463.2648 , 0.0103 0.0681 T 483.8052
003 003 003
r 1
n n
Worker ..

0.4355 , 0.3171 • 3.6169 , 0.0110 , 1.3154 , 6.4800e- • 1.3218 , 0.3496 , 5.9700e- , 0.3555 S 0.0000 1,022.048 , 1,022.048 , 0.0282 ' 0.0290 T 1,031.392
003
003
1 1
4 Total

0.4732

1.6441

4.0426

0.0158

1.4614

0.0140

1.4754

0.3918

0.0132

0.4049

0.0000
1,485.313
1,485.313

0.0385

0.0971
1,515.197
II
0 0
7 3.5 Building Construction - 2024
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
•
Off -Road . 0.1928 • 1.7611 • 2.1179 , 3.5300e- • ' 0.0803 • 0.0803 • ' 0.0756 0.0756 0.0000 • 303.7223 ' 303.7223 ' 0.0718 • 0.0000 • 305.5179 003
:
:
: :
:
i
Total

0.1928

1.7611

2.1179

3.5300e-

0.0803

0.0803

0.0756

0.0756

0.0000
303.7223
303.7223

0.0718

0.0000
305.5179
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2024
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , r 1
Vendor
• 0.0366 1.3117 ' 0.4208 ' 4.7200e- . 0.1471 ' 7.4500e- , 0.1546 ' 0.0425 ' 7.1300e- . 0.0497 ; 0.0000 459.6446 ' 459.6446 ' 0.0105 0.0675 T 480.0212
003 003 003
l , , , , l l n T 4
l l l
Worker ..

0.4132 ' 0.2848 ' 3.3938 ' 0.0107 ' 1.3255 ' 6.2000e- , 1.3317 . 0.3523 ' 5.7200e- . 0.3580 S 0.0000 1,005.541 ' 1,005.541 ' 0.0259 ' 0.0272 T 1,014.278
003
003
8 8
9 Total

0.4498

1.5965

3.8145

0.0155

1.4726

0.0137

1.4863

0.3948

0.0129

0.4076

0.0000
1,465.186
1,465.186

0.0363

0.0947
1,494.300
II
4 4
1 Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
:

Off -Road . 0.1928 . 1.7611 • 2.1179 ' 3.5300e- . ' 0.0803 ' 0.0803 • ' 0.0756 0.0756 0.0000 : 303.7220 ' 303.7220 ' 0.0718 : 0.0000 • 305.5175 003
:
:
:

i
Total

0.1928

1.7611

2.1179

3.5300e-

0.0803

0.0803

0.0756

0.0756

0.0000
303.7220
303.7220

0.0718

0.0000
305.5175
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2024
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
e
4 , -r 4
Vendor
' 0.0366 1.3117 ' 0.4208 ' 4.7200e- ' 0.1471 ' 7.4500e- , 0.1546 • 0.0425 ' 7.1300e- ' 0.0497 S 0.0000 459.6446 • 459.6446 ' 0.0105 0.0675 T 480.0212
003 003 003
r 4
n n
Worker ..

0.4132 ' 0.2848 ' 3.3938 ' 0.0107 ' 1.3255 ' 6.2000e- , 1.3317 ' 0.3523 ' 5.7200e- ' 0.3580 S 0.0000 1,005.541 ' 1,005.541 ' 0.0259 0.0272 T 1,014.278
003
003
8 8
9 Total

0.4498

1.5965

3.8145

0.0155

1.4726

0.0137

1.4863

0.3948

0.0129

0.4076

0.0000
1,465.186
1,465.186

0.0363

0.0947
1,494.300
II
4 4
1 3.5 Building Construction - 2025
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road . 0.1785 • 1.6273 • 2.0991 ' 3.5200e- • ' 0.0689 • 0.0689 • ' 0.0648 • 0.0648 0.0000 • 302.6549 ' 302.6549 ' 0.0711 • 0.0000 • 304.4335 003
:
:
:

: i
Total

0.1785

1.6273

2.0991

3.5200e-

0.0689

0.0689

0.0648

0.0648

0.0000
302.6549
302.6549

0.0711

0.0000
304.4335
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2025
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , -r 4
Vendor
. 0.0353 1.2790 • 0.4128 • 4.6200e- , 0.1466 • 7.2500e- , 0.1538 • 0.0424 , 6.9300e- , 0.0493 $ 0.0000 449.9612 • 449.9612 • 0.0106 0.0660 T 469.9017
003 003 003
e.
r 4
n n
Worker

0.3892 ' 0.2548 • 3.1656 • 0.0104 , 1.3204 • 5.9000e- • 1.3263 • 0.3509 , 5.4400e- , 0.3563 S 0.0000 978.7590 • 978.7590 • 0.0235 0.0253 T 986.8778
003
003
Total

0.4245

1.5338

3.5784

0.0150

1.4670

0.0132

1.4802

0.3933

0.0124

0.4056

0.0000
1,428.720
1,428.720

0.0341

0.0913
1,456.779
ll
2 2
6 Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
w
. 0.1784
, 1.6273 •

2.0991
• 3.5200e-
003
, •
: :

0.0689
• 0.0689
:
•
:
• 0.0648
:
: 0.0648 0.0000
: i
• 302.6545 •
302.6545
• 0.0711
: 0.0000 •
304.4331
Total
II

0.1784

1.6273

2.0991

3.5200e-
003

0.0689

0.0689

0.0648

0.0648

0.0000
302.6545
302.6545

0.0711

0.0000
304.4331

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2025
Mitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , -r 4
Vendor
. 0.0353 1.2790 • 0.4128 • 4.6200e- , 0.1466 • 7.2500e- , 0.1538 • 0.0424 • 6.9300e- , 0.0493 $ 0.0000 449.9612 • 449.9612 • 0.0106 0.0660 T 469.9017
003 003 003
e.
r 4
n n
Worker

0.3892 ' 0.2548 • 3.1656 • 0.0104 , 1.3204 • 5.9000e- , 1.3263 • 0.3509 , 5.4400e- , 0.3563 S 0.0000 978.7590 • 978.7590 • 0.0235 0.0253 T 986.8778
003
003
Total

0.4245

1.5338

3.5784

0.0150

1.4670

0.0132

1.4802

0.3933

0.0124

0.4056

0.0000
1,428.720
1,428.720

0.0341

0.0913
1,456.779
ll
2 2
6 3.5 Building Construction - 2026
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
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
. 0.1785 , 1.6273 • 2.0991 , 3.5200e- , • 0.0689 • 0.0689 • • 0.0648 : 0.0648 i 0.0000 • 302.6549 • 302.6549 • 0.0711 : 0.0000 • 304.4335

003
Total

0.1785

1.6273

2.0991

3.5200e-

0.0689

0.0689

0.0648

0.0648

0.0000
302.6549
302.6549

0.0711

0.0000
304.4335
II
003

CalEEMod Version: CalEEMod.2020.4.0

Pismo Beach GP/LCP PEIR - GHG - San Luis Obispo County APCD Air District, Annual EMFAC Off -Model Adjustment Factors for Gasoline Light Duty Vehicle to Account for the SAFE Vehicle Rule Applied

3.5 Building Construction - 2026
Unmitigated Construction Off -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Hauling
. 0.0000 - 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 : 0.0000 S 0.0000

0.0000 : 0.0000 : 0.0000 ' 0.0000 : 0.0000
4 , -r 4
Vendor
. 0.0342 1.2513 , 0.4079 , 4.5300e- , 0.1466 , 7.0600e- , 0.1537 • 0.0424 , 6.7500e- , 0.0491 S 0.0000 441.8965 • 441.8965 • 0.0108 0.0648 T 461.4732
003 003 003
e.
r 4
n n
Worker

0.3698 0.2309 • 2.9833 , 0.0100 , 1.3204 , 5.6200e- , 1.3260 • 0.3509 , 5.1800e- , 0.3561 S 0.0000 956.7028 , 956.7028 • 0.0215 ' 0.0238 T 964.3303
003
003
Total

0.4040

1.4822

3.3912

0.0146

1.4670

0.0127

1.4797

0.3933

0.0119

0.4052

0.0000
1,398.599
1,398.599

0.0322

0.0886
1,425.803
ll
3 3
6 Mitigated Construction On -Site
ROG
NOx
CO
SO2
Fugitive
PM10
Exhaust
PM10
PM10
Total
Fugitive
PM2.5
Exhaust
PM2.5
PM2.5
Total
Bio- CO2
NBio- CO2
Total CO2
CH4
N2O
CO2e
Category
tons/yr
MT/yr
Off -Road
w
. 0.1784
, 1.6273 •

2.0991 •

3.5200e-
003
•
:
• 0.0689
• 0.0689 •
: :
•
:

0.0648
• 0.0648 0.0000
: i
• 302.6545
• 302.6545 •

0.0711
• 0.0000 •
304.4331
Total
II