050526 PW 2025 UWMP and WSCP 2025 UWMP Final Draft — City Council - Successor Agency - Housing Authority, May 5, 2026 (part 4 of 4)

preparing the Alternative do not cover the entire basin; however, all other agencies with jurisdiction, such as the County of Orange, City of Corona, City of Yorba Linda, City of Anaheim and others were notified and offered the opportunity to be involved. No comments were received from any of the contacted agencies. It is our opinion, that through this process, OCWD, La Habra and IRWD did achieve complete coverage of Basin 8-1.

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there are no depletions of interconnected surface water that will cause significant and unreasonable impacts on beneficial users of surface water is not provided, per Page 9 of the Alternative. Page 9 of the Alternative is part of the Overview of the entire report and does not contain detailed information Detailed monitoring information, including 10 years of water level data (Page 364), water budget information, etc. is presented in the Santa Ana Canyon Management Area section of the Alternative.

The information presented in the Santa Ana Canyon Management Area section of the report supports the conclusion that there are no depletions of interconnected surface water that will cause significant and unreasonable impacts on beneficial users of surface water. Additional information has been provided below in response to Recommendation No. 1.

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Habra Groundwater Sustainability Agency (GSA) was contemplating preparing a GSP to be submitted in 2020. However, the City of La Habra GSA has elected to continue contributing to the Basin 8-1 Alternative.

Response to DWR’s Recommended Actions.

Pages 32-33, Part IV, B, Recommended Actions.

DWR Recommended Action 1. Staff recommend the Agencies clarify the basis for the determination that depletions of interconnected surface water in the Santa Ana Canyon Management Area are de minimis, while considering the volume of pumping, the extent of the interconnection between groundwater and surface water, and the beneficial users of the surface water.

Staff recommend clarifying whether surface water bodies in the La Habra-Brea Management Area are interconnected with groundwater and whether groundwater- dependent ecosystems exist within the Santa Ana Canyon and La Habra Management Areas.

OCWD Response:

OCWD provided several lines of evidence for the determination that depletions of interconnected surface water in the Santa Ana Canyon area are insignificant (i.e., de minimis).

1. The large disparity in the supply of surface water to the Santa Ana Canyon area compared to the amount of pumping. The annual flow in the Santa Ana River is much greater than the amount of annual groundwater production. When the 2017 Alternative was prepared, some production wells in the Santa Ana Canyon were estimated, namely production wells supplying irrigation water to the Green River Golf Course. OCWD and Orange County Department of Public Works have worked together to install meters on wells supplying the Green River Golf Course. Now all production wells in the Santa Ana Canyon are metered. This effort resulted in a reduction in pumping as prior estimates were too high. For the 2022 Update, the 5-year water budget is presented in Table 1-2 in the Santa Ana Canyon section (reproduced below). This water budget is a combined surface and groundwater water budget for the Santa Ana Canyon Management Area. As shown on this table, groundwater production over this five-year period is approximately 0.6 percent of the total inflow to the canyon area.

Table1-2: Water Budget, 5-Year Average (2016-21)
Flow Component 5-Yr Avg: 2016-21 (afy)
INFLOW
Santa Ana River Base Flow 76,860
Santa Ana River Storm Flow 78,750
Subsurface Inflow 6,000
TOTAL INFLOW 161,610

OUTFLOW
Santa Ana River Base Flow 76,120
Santa Ana River Storm Flow 78,750
Evapotranspiration 740
Groundwater Production 1,000
Subsurface Outflow 5,000
TOTAL OUTFLOW 161,610

2. The second line of evidence is the stability of groundwater levels as shown in Figure 3-3 in the Santa Ana Canyon section of the report. This figure is reproduced below. The consistent, stable nature of groundwater elevations in the Santa Ana Canyon Management Area shows that the aquifer is generally full and at equilibrium, which is consistent with the finding that here are no measurable losses of flows between Prado Dam upstream and OCWD’s diversion to its recharge system just below Imperial Highway.

3. The third line of evidence, mentioned above, is the finding that there are no measurable losses of flows between Prado Dam and OCWD’s diversion at the Imperial Rubber Dam. The location of these two measuring locations is shown in the figure below. The measuring location below Prado Dam is operated by the United States Geological Survey (USGS) and is identified as US11074000, Santa Ana R BL Prado Dam, CA. The USGS carefully reviews data from this location and publishes it annually as it is of interest to multiple stakeholders, including OCWD, the US Army Corps of Engineers, and a number of agencies upstream of Prado Dam.

Figure 3-3: Water Level Hydrographs of Selected Wells

290
310
330
350
370
390
410
430
Jan-92 Jan-02 Jan-12 Jan-22
Water Level Elevation (feet msl)
GRV-RSIR (RP Elev: 430 ft msl)
FPRK-YLE (RP Elev: 382.59 ft msl)
SILV-YL (RP Elev: 381.84 ft msl)
SCE-YLCS (RP Elev: 340.67 ft msl)
EMA-AH5 (RP Elev: 309.66 ft ms)

Location of USGS gauging station below Prado Dam and OCWD Imperial Rubber Dam
Inflow from the Santa Ana River to OCWD’s recharge system is measured at the Imperial Rubber Dam (see figure). When flows are less than 1,000 cubic feet per second (cfs), the rubber dam remains fully inflated and all surface flows are either diverted from the river to downstream recharge basins or it is bypassed around the dam and placed back into the river channel. Flows that are diverted from the river pass through a Parshall flume, which measures the flow rate.

Flows that are bypassed around the dam are measured using sonic flowmeters installed in the bypass pipelines. This arrangement ensures that all flows received by OCWD under 1,000 cfs are measured accurately. OCWD staff routinely check the accuracy of these two measuring stations.

OCWD data from the Imperial Rubber Dam location provide data on total flow of the Santa Ana River on a daily basis.

OCWD compiled daily flow measurements for the USGS gauge below Prado Dam (11074000) and at OCWD’s Imperial Rubber Dam for the period July 2015 to October 2021. During the winter months, there can be rainfall that occurs between Prado Dam and the Imperial Rubber Dam, resulting in ungauged inflow in this reach. To screen out these periods, the flow data for May through October is used and shown in the graph below. This graph shows there is very good agreement between the outflow at Prado Dam and what is received at the Imperial

Rubber Dam (r2 =0.99). This demonstrates that there are no net losses in flow between these two locations, at least within the margin of error in the measurement accuracy. The conclusion is that the flow measurements at the two gauges are consistent with the water level data that show that the Santa Ana Canyon Management Area is in hydrologic equilibrium, and also that the volume of groundwater pumping is relatively small so as to not measurably reduce surface water volumes through the canyon.

DWR has made a dataset, called “Natural Communities Commonly Associated with Groundwater (NCCAG) Dataset” available at NC Dataset Viewer (ca.gov). This dataset shows that there is riparian vegetation located in the Santa Ana Management Area along the SAR channel. The evapotranspiration associated with the riparian vegetation was estimated to be 740 afy as shown in Table 1-2.

La Habra GSA Response:

Requested information on whether surface water bodies in the La Habra-Brea Management Area are interconnected with groundwater and whether groundwater-dependent ecosystems exist within the La Habra Management Area is included in the 2022 Update.

y = 1.02x
R² = 0.9895
0 50
100
150
200
250
300
350
400
450
500
0 50 100 150 200 250 300 350 400 450 500
Imperial Dam Inflow (cfs)
Prado Dam Outflow (cfs)
Comparison of Prado Outflow vs Imperial Dam Inflow
(May-October, 2015-2021)
DWR Recommended Action 2. Staff recommend a basin-wide water budget utilizing inflow and outflow information from each management area or a water budget for each management area be provided in accordance with the GSP regulations (CCR 23 Section 354.18).

OWWD Response:

Over the years, OCWD has developed a comprehensive data collection system to characterize basin inflows and outflows. In an average year, approximately 80 percent of the inflow to the basin is measured and all of the groundwater production is measured and accounted for. In addition, every year, the change in groundwater storage is estimated based on water level changes in the three basin aquifers. This process defines the current storage condition in the basin and refines the net incidental (unmeasured) recharge portion of the water budget. Section 4 of the OCWD Management Area section of the Alternative describes the various elements of the water budget. The five-year water budget presented in the OCWD Management Area of the report is reproduced below.

Table 4-1: Water Budget, WY2016-17 to 2020-21 (OCWD Management Area) FLOW COMPONENT 2016-17 2017-18 2018-19 2019-20 2020-21
INFLOW
Santa Ana River baseflow 70,000 65,400 98,000 74,500 76,400 Santa Ana River stormflow 65,400 24,100 63,700 79,500 36,600 Recycled Water (GWRS/Alamitos Barrier) 98,000 106,400 97,200 99,700 101,700 Imported Water 50,400 66,100 40,300 18,100 0
Net Estimated Unmeasured or Incidental
Recharge* 67,900 26,200 45,600 41,400 19,100
TOTAL INFLOW: 351,700 288,200 344,800 313,200 233,800

OUTFLOW
Groundwater Production 300,700 237,200 303,800 277,200 281,800 TOTAL OUTFLOW: 300,700 237,200 303,800 277,200 281,800
CHANGE IN STORAGE: 51,000 51,000 41,000 36,000 (48,000)

The water budget presented in Table 4-1 is essentially the water budget for Basin 8-1, except for the La Habra Management Area. The water budget for the Santa Ana Canyon Management Area shows that this area provides a net source of water to the OCWD Management area that is captured in the surface water recharge component and net estimated unmeasured recharge (via subsurface inflow). The water budget for the South East Management area is captured in the net unmeasured recharge (via subsurface inflow) minus any groundwater production in this area. Groundwater production in the South East Management area is so small, it is inconsequential in terms of the overall water budget.

Starting in April 2022, OCWD and other agencies within Basin 8-1 will be presenting the various water budget components as defined in CCR 23 Section 354.18 as part of the annual reporting process.

La Habra GSA Response:

Additional information regarding the water budget in the La Habra-Brea Management Area is included in the 2022 Update.

DWR Recommended Action 3. Staff recommend that the Agencies provide the agreements among the different jurisdictions which commit the Agencies to conduct monitoring and implement the Alternative within their management areas. If no GSP is developed for the La Habra-Brea Management Area, the next Alternative update should provide additional explanation and quantification of the management approaches, sustainable management criteria, and evidence for the presence or absence of undesirable results for the La Habra-Brea Management Area.

Response:

The response to this recommended action comes in two parts. The first addresses the commitment of the Agencies to conduct monitoring and implement the Alternative within their management areas. The second addresses additional information requested for the La Habra-Brea Management Area.

Part 1: Commitment to Conduct Monitoring and Implement Alternative:

As part of the process of developing the Basin 8-1 Alternative, OCWD collaborated with the City of La Habra Groundwater Sustainability Agency and the Irvine Ranch Water District (IRWD). Both of these agencies committed resources to prepare their respective sections of the Alternative and submitted letters of support for the Alternative. The letters of support and OCWD’s resolution of support were submitted to DWR along with the Alternative in December 2016. These same agencies have committed resources to updating the Alternative and OCWD has again adopted a resolution of support to submit the updated Alternative to DWR. This process demonstrates the continued commitment of the agencies to comply with SGMA and take necessary actions to continue sustainably managing Basin 8-1.

In terms of groundwater monitoring, OCWD has an extensive monitoring well network. A subset of these wells was part of the CASGEM program. As described in the 2022 Update, this well network was updated and is now part of the Monitoring Well Network (MWN), which has replaced CASGEM.

Included in the MWN are two wells owned by IRWD that are located in the South East Management Area. As a result, water level data submitted twice a year by OCWD covers all of Basin 8-1 except for the La Habra-Brea Management Area. The City of La Habra GSA will be submitting water level data for their area separately.

In addition to groundwater level monitoring, the agencies are committed to continuing to conduct monitoring of water quality, groundwater production, subsidence, and any other monitoring that may be required to satisfy sustainable management criteria.

Part 2: Additional Information for La Habra-Brea Management Area The City of La Habra GSA incorporated additional information into the La Habra-Brea Management Area section, including additional explanation and quantification of the management approaches, sustainable management criteria, and clarifying the evidence for the absence of undesirable results for the La Habra-Brea Management Area. Additionally, data gaps within the monitoring network are discussed in the 2022 Update, including steps currently being taken to address and fill the gaps.

DWR Recommended Action 4. Staff recommend the Agencies explain the timeframe that the Basin can safely operate, without experiencing undesirable results, after exceeding 500,000 AF below full conditions (23 CCR Section 354.26(b)(2)) and clarify the wells used to calculate the change in groundwater in storage and the overall groundwater in storage.

Response:

It is important to reiterate that exceeding 500,000 acre-feet from full is a hypothetical situation and is not an intended action under normal basin management circumstances. Such a hypothetical situation is considered an extraordinary circumstance; for example, an extended drought that is exacerbated by a lengthy shutdown of imported water into southern California due to a catastrophic event such as a major earthquake. This hypothetical situation would not be expected to last more than one year; however, other worse hypothetical cases can be conceived. Because the cause(s) and magnitude of a hypothetical temporary storage exceedance beyond 500,000 acre-feet below full are unknown, it is difficult to quantify a precise timeframe that the Basin can operate without experiencing undesirable results. That said, a cumulative exceedance of no more than 200,000 acre-feet beyond 500,000 acre- feet below full conditions over five consecutive years is suggested as a general guideline. This means that the average exceedance would be no more than 40,000 acre-feet during a maximum five-year period. If the period of exceedance was two years, then the average exceedance would be 100,000 acre-feet. As a general guideline, limiting the magnitude and duration of the exceedance will lessen the potential for undesirable results, as described below:

1. The rate of inland movement of seawater intrusion with the basin at 500,000 acre-feet below full conditions and with the seawater barriers is expected to be on the order of 1-2 feet per day.

Over a 5-year period, this could represent a brackish water encroachment of roughly ½ mile into some of the coastal gaps. While this encroachment could cause localized water quality degradation, it is unlikely to reach production wells which are farther inland. Once the storage exceedance ends, and the basin storage is within the established operating range, the seawater barriers’ performance would be expected to recover to their design conditions and subsequently halt and reverse the brackish groundwater inland encroachment.

2. Reduction of pore pressures in and drainage of water from thick, compressible confining layers is a slow process due to the low permeability of the confining layers. Therefore, a maximum five-year period of basin storage exceeding 500,000 acre-feet from full would not be expected to cause significant inelastic land subsidence.

3. Lowering of groundwater levels could temporarily reduce or halt the production potential of an unknown number of water supply wells; however, assuming the distribution of lower groundwater levels is distributed across the Basin, the magnitude of reduced groundwater levels would be lessened, and the number of temporarily-impacted wells would likely be manageable.

Note that this discussion applies to the OCWD portion of the groundwater basin. Storage conditions in the La Habra-Brea Management Area are separate.

OCWD uses a large network of wells to obtain water levels in June every year, including:

1. OCWD owned wells (including multi-port monitoring wells)

2. Groundwater producer wells (must be turned off for 24 hours in advance)

3. Selected wells in Geotracker

The wells/monitoring points used for the June 2021 contour maps of the Shallow, Principal and Deep Aquifers are attached. For 2021, 350 wells/monitoring points were used for the Shallow Aquifer, 421 wells/monitoring points for the Principal Aquifer, and 61 wells/monitoring points for the Deep Aquifer.

There may be small changes in this well/monitoring point list on an annual basis.

List of Wells/Monitoring Points Used for June 2021 Water Level Contour Map of Orange County Groundwater Basin (OCWD Management Area)
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Shallow Aquifer Wells (Model Layer 1)
STAID1 WELLNM STAID STANAME OWNERNM NAD83_X NAD83_Y GIS_SYMNM PERF_ZONE SHORTDATE WLELEV_2021 19013 CSF-1 19127 CSF-1/1/WB1/MP1 CA. STATE UNIV., FULLERTON 6064343.084 2270822.497 Multiport Monitoring Well MP1 (132) <Null> <Null> 1092 FPRK-YLE 1093 FPRK-YLE/1 CANYON RV PARK 6119133.638 2263083.811 Active Small-System Production Well 60-84 6/29/2021 360.79 1090 FPRK-YLW 1091 FPRK-YLW/1 CANYON RV PARK 6119044.248 2263049.927 Active Small-System Production Well 48-80 6/29/2021 359.55 1136 SULY-OA4 1137 SULY-OA4/1 CHANDLER'S SAND & GRAVEL 6094796.046 2243793.122 Inactive Production Well - <Null> <Null> 23723 CHEV-MW15B 23724 CHEV-MW15B/1 CHEVRON MANAGEMENT COMPANY 6072572.119 2277343.802 Monitoring Well 90-130 <Null> <Null> 15561 CNXT-NBES2 15562 CNXT-NBES2/1 CONEXANT SYSTEMS, INC. 6071916.005 2188840.827 Monitoring Well 21-41 5/27/2021 21.63 15734 CNXT-NBES3A 15735 CNXT-NBES3A/1 CONEXANT SYSTEMS, INC. 6071601.336 2188635.986 Monitoring Well 23.9-44.3 5/27/2021 21.43 15571 CNXT-NBES4B 15572 CNXT-NBES4B/1 CONEXANT SYSTEMS, INC. 6071542.899 2188493.017 Monitoring Well 23-43 <Null> <Null> 15569 CNXT-NBES6 15570 CNXT-NBES6/1 CONEXANT SYSTEMS, INC. 6071620.501 2188443.488 Monitoring Well 25-40 <Null> <Null> 8610 CNXT-NBMW29 8611 CNXT-NBMW29/1 CONEXANT SYSTEMS, INC. 6071755.155 2189235.843 Monitoring Well 21-40 <Null> <Null> 8608 CNXT-NBMW30 8609 CNXT-NBMW30/1 CONEXANT SYSTEMS, INC. 6071902.892 2189098.302 Monitoring Well 21-42 <Null> <Null> 14611 SILV-YL 14612 SILV-YL/1 COUNTY OF ORANGE 6117870.025 2262814.346 Other Active Production Well 40-66 6/30/2021 359.99 15932 DAVI-O 15933 DAVI-O/1 DAVIDSON, TOM & CINDY 6090897.443 2241414.862 Other Active Production Well - <Null> <Null> 23713 DLA-GTMW04 23714 DLA-GTMW04/1 DEFENSE LOGISTICS AGENCY 6087208.914 2219923.944 Monitoring Well 90-110 7/7/2021 48.06 4156 OCWD-BS103 5213 OCWD-BS103/1 DEPARTMENT OF WATER RESOURCES 6027754.184 2208435.987 Monitoring Well 43-78 6/29/2021 -4.68 5218 OCWD-BS105 5219 OCWD-BS105/1 DEPARTMENT OF WATER RESOURCES 6022947.616 2207365.785 Monitoring Well 69-85 7/7/2021 -8.97 3071 OCWD-BS106 5222 OCWD-BS106/1 DEPARTMENT OF WATER RESOURCES 6024891.085 2211245.522 Monitoring Well 50-92 6/30/2021 -6.17 5133 OCWD-SA10 5134 OCWD-SA10/1 DEPARTMENT OF WATER RESOURCES 6039247.362 2190515.118 Monitoring Well 90-120 6/28/2021 3.249 5139 OCWD-SA12 5140 OCWD-SA12/1 DEPARTMENT OF WATER RESOURCES 6040581.662 2205805.671 Monitoring Well 86-126 6/30/2021 8.88 5115 OCWD-SA3 5116 OCWD-SA3/1 DEPARTMENT OF WATER RESOURCES 6034107.028 2196075.864 Monitoring Well 100-160 6/28/2021 2.631 1620 CMIL-A 3108 CMIL-A/1 FIRST INTERSTATE BANK 6101671.628 2260355.691 Destroyed and Sealed Well 21-101 <Null> <Null> 39 GG-28 2687 GG-28/1 GARDEN GROVE 6049374.528 2232905.514 Inactive Production Well 130-240 6/30/2021 59 1407 WWGC-SAK3 1408 WWGC-SAK3/1 GARDEN GROVE 6056974.671 2220835.054 Other Active Production Well 149-170 6/28/2021 50.85 9522 SCWC-YLCO2 9523 SCWC-YLCO2/1 GOLDEN STATE WATER COMPANY 6091725.912 2261952.552 Inactive Production Well 100-480 5/25/2021 254 506 ETCH-AL2 507 ETCH-AL2/1 GOODWIN MUTUAL WATER COMPANY 6086723.02 2261993.771 Inactive Production Well 85-185 6/29/2021 236.58 23034 HEUL-A 23035 HEUL-A/1 HEULER, BARTON 6060159.382 2256110.939 Other Active Production Well 125-145 <Null> <Null> 2830 OCWD-HH2 2832 OCWD-HH2/2 HUNTINGTON HARBOUR CORPORATION 6012383.001 2212193.192 Monitoring Well 85-95 6/29/2021 -8.893 2845 OCWD-HH3 2847 OCWD-HH3/2 HUNTINGTON HARBOUR CORPORATION 6012242.137 2210674.48 Monitoring Well 75-85 6/29/2021 -7.988 4242 OCWD-HH5 4245 OCWD-HH5/3 HUNTINGTON HARBOUR CORPORATION 6013929.084 2207761.949 Monitoring Well 63-73 6/29/2021 -5.877 20312 OCWD-HH6B 20313 OCWD-HH6B/1 HUNTINGTON HARBOUR CORPORATION 6011785.354 2213862.346 Monitoring Well 90-100 7/1/2021 -10.411 1200 HYNS-S2 1201 HYNS-S2/1 HYNES ESTATES, INC. 6032783.88 2236398.43 Destroyed and Sealed Well 162-182 <Null> <Null> 23616 IRWD-MICH11 23617 IRWD-MICH11/1 IRVINE RANCH WATER DISTRICT 6078141.044 2188888.245 Other Active Production Well 21-69 <Null> <Null> 23618 IRWD-MICH12 23622 IRWD-MICH12/1 IRVINE RANCH WATER DISTRICT 6078209.142 2188963.633 Other Active Production Well 19-63 <Null> <Null> 23623 IRWD-MICH13 23624 IRWD-MICH13/1 IRVINE RANCH WATER DISTRICT 6078263.018 2188904.583 Other Active Production Well 21-67 <Null> <Null> 23625 IRWD-MICH14 23626 IRWD-MICH14/1 IRVINE RANCH WATER DISTRICT 6078303.831 2188587.342 Other Active Production Well - <Null> <Null> 23627 IRWD-MICH15 23628 IRWD-MICH15/1 IRVINE RANCH WATER DISTRICT 6078219.918 2188672.325 Other Active Production Well - <Null> <Null> 23495 CREA-YL 23496 CREA-YL/1 JOHN CREANGA 6078734.136 2277902.352 Other Active Production Well 135-175 6/30/2021 302.223 1211 ITO-LA 1212 ITO-LA/1 JOINT FORCES TRAINING BASE LOS ALAMITOS 6014444.094 2233893.201 Other Active Production Well 70-710 6/29/2021 14.26 432 W-432 433 W-432/1 KATHY BONANNO 6080325.38 2272580.463 Inactive Production Well 117-137 6/30/2021 286.993 1759 MKAW-FV 3235 MKAW-FV/1 KAWAGUCHI ENTERPRISES, LP 6051164.175 2210349.133 Other Active Production Well 185-225 <Null> <Null> 11544 LAC-33Y10 11545 LAC-33Y10/1 LOS ANGELES COUNTY 6000026.997 2231221.991 Monitoring Well 75-115 <Null> <Null> 1160 GHAV-GG 1161 GHAV-GG/1 MAGILL, STANLEY R. 6059608.702 2232220.109 Other Active Production Well 168-188 6/28/2021 61.3 22691 HMW-01 22692 HMW-01/1 MANHEIM CALIFORNIA (COX ENTERPRISES) 6078590.494 2262972.301 Monitoring Well 55-75 <Null> <Null> 19926 USMC-16MW11 19927 USMC-16MW11/1 MARINE CORPS AIR STATION 6110625.131 2193056.413 Monitoring Well 160-180 <Null> <Null> 18840 USMC-16MW2 18841 USMC-16MW2/1 MARINE CORPS AIR STATION 6110221.201 2193322.5 Monitoring Well 153-178 <Null> <Null> 19957 USMC-24EX11 19958 USMC-24EX11/1 MARINE CORPS AIR STATION 6104523.31 2191224.413 Monitoring Well 135-180 <Null> <Null> 19959 USMC-24EX12A 19960 USMC-24EX12A/1 MARINE CORPS AIR STATION 6105720.54 2190982.863 Monitoring Well 115-160 <Null> <Null> 19965 USMC-24EX13A 19966 USMC-24EX13A/1 MARINE CORPS AIR STATION 6107553.141 2190629.843 Monitoring Well 110-160 <Null> <Null> 19971 USMC-24EX14 19972 USMC-24EX14/1 MARINE CORPS AIR STATION 6104912.99 2191678.953 Monitoring Well 115-185 <Null> <Null> 19953 USMC-24EX9 19954 USMC-24EX9/1 MARINE CORPS AIR STATION 6108691.53 2189395.353 Monitoring Well 120-200 <Null> <Null> 20253 USMC-24MW10AB 20255 USMC-24MW10AB/2 MARINE CORPS AIR STATION 6107253.063 2191367.404 Monitoring Well 130-140 <Null> <Null> 20269 USMC-24MW9AB 20271 USMC-24MW9AB/2 MARINE CORPS AIR STATION 6106891.198 2190845.415 Monitoring Well 140-150 <Null> <Null> 18621 USMC-24NEW7 18622 USMC-24NEW7/1 MARINE CORPS AIR STATION 6108983.5 2190576.7 Monitoring Well 118-158 <Null> <Null> 18619 USMC-24NEW8 18620 USMC-24NEW8/1 MARINE CORPS AIR STATION 6109711.5 2190269.7 Monitoring Well 122-162 <Null> <Null> 13875 USMC-MW03E 13876 USMC-MW03E/1 MARINE CORPS AIR STATION 6109510.523 2188847.525 Monitoring Well 124-164 <Null> <Null> 13833 USMC-MW19E 13834 USMC-MW19E/1 MARINE CORPS AIR STATION 6104580.874 2194499.736 Monitoring Well 98-138 <Null> <Null> 14336 USMC-MW23 14337 USMC-MW23/1 MARINE CORPS AIR STATION 6105584.809 2185916.035 Monitoring Well 64-104 <Null> <Null> 18586 USMC-MW29A 18587 USMC-MW29A/1 MARINE CORPS AIR STATION 6110133.9 2187312.33 Monitoring Well 75-100 <Null> <Null> 22910 USMC-MW2D2 22911 USMC-MW2D2/1 MARINE CORPS AIR STATION 6081840.685 2206480.568 Monitoring Well 76-86 <Null> <Null> 13861 USMC-MW31 13862 USMC-MW31/1 MARINE CORPS AIR STATION 6107617.015 2189648.229 Monitoring Well 105-145 <Null> <Null> 13859 USMC-MW37 13860 USMC-MW37/1 MARINE CORPS AIR STATION 6108153.508 2188707.479 Monitoring Well 89-130 <Null> <Null> 22617 USMC-MW43B 22618 USMC-MW43B/1 MARINE CORPS AIR STATION 6110701.167 2188814.201 Monitoring Well 100.41-140.91 <Null> <Null> 13817 USMC-MW51 13818 USMC-MW51/1 MARINE CORPS AIR STATION 6107153.052 2192582.528 Monitoring Well 125-165 <Null> <Null> 13877 USMC-MW70 13878 USMC-MW70/1 MARINE CORPS AIR STATION 6110644.542 2189446.258 Monitoring Well 125-165 <Null> <Null> 13903 USMC-MW73 13904 USMC-MW73/1 MARINE CORPS AIR STATION 6109324.506 2187794.721 Monitoring Well 90-130 <Null> <Null> 13889 USMC-MW91 13890 USMC-MW91/1 MARINE CORPS AIR STATION 6108291.003 2188258.73 Monitoring Well 110-150 <Null> <Null> 7256 USMC-PS1 7257 USMC-PS1/1 MARINE CORPS AIR STATION 6106591.503 2189442.242 Monitoring Well 102-122 <Null> <Null> 7258 USMC-PS2 7259 USMC-PS2/1 MARINE CORPS AIR STATION 6105657.052 2193519.226 Monitoring Well 103-133 <Null> <Null> 18564 USMC-PS3A 18565 USMC-PS3A/1 MARINE CORPS AIR STATION 6109290.87 2187093.49 Monitoring Well 70-105 <Null> <Null> 13849 USMC-MP06 14437 USMC-MP06/1/WB1/MP1 MARINE CORPS AIR STATION 6100689.85 2194415.05 Multiport Monitoring Well MP1 (110) <Null> <Null> 13851 USMC-MP08 14457 USMC-MP08/1/WB1/MP1 MARINE CORPS AIR STATION 6105310.575 2187889.19 Multiport Monitoring Well MP1 (70) <Null> <Null> 13853 USMC-MP10 14501 USMC-MP10/1/WB1/MP1 MARINE CORPS AIR STATION 6089272.939 2200492.977 Multiport Monitoring Well MP1 (222) <Null> <Null> 20296 USMC-24EX20B 20297 USMC-24EX20B/1 MARINE CORPS AIR STATION 6106098.39 2192979.513 Other Active Production Well 106.8-204.8 <Null> <Null> 20015 USMC-SGU1 20016 USMC-SGU1/1 MARINE CORPS AIR STATION 6109366.294 2188607.434 Other Active Production Well 96-206 3/9/2021 153.37 20090 USMC-SGU16 20091 USMC-SGU16/1 MARINE CORPS AIR STATION 6108500.694 2189851.338 Other Active Production Well 105-185 3/9/2021 128.4 21967 USMC-SGU39 21968 USMC-SGU39/1 MARINE CORPS AIR STATION 6105829.364 2192700.994 Other Active Production Well 90-190 3/8/2021 108.56 15117 MCGN-BP1 15118 MCGN-BP1/1 MC GINNESS, BILL 6030378.839 2253137.368 Other Active Production Well 50-255 6/30/2021 39.29 14284 MSG-BP10L 14285 MSG-BP10L/1 MCCOLL SITE GROUP 6037931.453 2272258.752 Monitoring Well 247-257 6/30/2021 103.92 1134 SULY-OA1 1135 SULY-OA1/1 MILAN REI, LLC 6095028.945 2243462.53 Other Active Production Well - 6/29/2021 <Null> 428 W-428 429 W-428/1 MONBRI, LLC 6074730.957 2271716.012 Inactive Production Well - <Null> <Null> 3976 OCWD-P10 3977 OCWD-P10/1 ORANGE COUNTY WATER DISTRICT 6044117.886 2186405.599 Destroyed and Sealed Well 90-130 <Null> <Null> 19007 OCWD-BIO1 19008 OCWD-BIO1/1 ORANGE COUNTY WATER DISTRICT 6082730.975 2257183.878 Inactive Production Well 25-115 7/7/2021 229.84 20858 OCWD-EW2 20859 OCWD-EW2/1 ORANGE COUNTY WATER DISTRICT 6053332.928 2263207.928 Inactive Production Well 130-196 <Null> <Null> 20851 OCWD-EW2A 20852 OCWD-EW2A/1 ORANGE COUNTY WATER DISTRICT 6049376.318 2263317.874 Inactive Production Well 122-188 <Null> <Null> 22619 OCWD-EW3A 22620 OCWD-EW3A/1 ORANGE COUNTY WATER DISTRICT 6050896.1 2260365.9 Inactive Production Well 235-290 <Null> <Null> 21041 OCWD-EW4 21042 OCWD-EW4/1 ORANGE COUNTY WATER DISTRICT 6053819.546 2259558.892 Inactive Production Well 130-255 <Null> <Null> 18056 OCWD-I26A 18057 OCWD-I26A/1 ORANGE COUNTY WATER DISTRICT 6048813.793 2200416.667 Injection Well 60-195 7/6/2021 5.49 19465 OCWD-I27A 19466 OCWD-I27A/1 ORANGE COUNTY WATER DISTRICT 6036244.383 2199722.281 Injection Well 78-148 <Null> <Null> 19469 OCWD-I28A 19470 OCWD-I28A/1 ORANGE COUNTY WATER DISTRICT 6036238.41 2199048.656 Injection Well 80-140 7/6/2021 3 19697 OCWD-I29A 19698 OCWD-I29A/1 ORANGE COUNTY WATER DISTRICT 6034766.9 2200360.103 Injection Well 90-120 <Null> <Null> 19701 OCWD-I30A 19702 OCWD-I30A/1 ORANGE COUNTY WATER DISTRICT 6034047.2 2200278.003 Injection Well 95-160 6/28/2021 2.53 19711 OCWD-I31A 19712 OCWD-I31A/1 ORANGE COUNTY WATER DISTRICT 6033586.7 2201013.903 Injection Well 90-165 7/6/2021 1.67 19707 OCWD-I32A 19708 OCWD-I32A/1 ORANGE COUNTY WATER DISTRICT 6033114.8 2200599.403 Injection Well 90-155 <Null> <Null> 19654 OCWD-I33A 19655 OCWD-I33A/1 ORANGE COUNTY WATER DISTRICT 6045921.5 2194432.303 Injection Well 61-156 6/30/2021 5.16 19656 OCWD-I34A 19657 OCWD-I34A/1 ORANGE COUNTY WATER DISTRICT 6045756.9 2193917.303 Injection Well 60-135 <Null> <Null> 19658 OCWD-I35A 19659 OCWD-I35A/1 ORANGE COUNTY WATER DISTRICT 6045558.2 2193150.603 Injection Well 60-115 6/30/2021 7.89 19678 OCWD-I36A 19679 OCWD-I36A/1 ORANGE COUNTY WATER DISTRICT 6045421.1 2192575.403 Injection Well 60-110 <Null> <Null> 1018 AM-1 1019 AM-1/1 ORANGE COUNTY WATER DISTRICT 6090472.39 2264185.952 Monitoring Well 97-115 6/30/2021 245.03 1 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Shallow Aquifer Wells (Model Layer 1)
STAID1 WELLNM STAID STANAME OWNERNM NAD83_X NAD83_Y GIS_SYMNM PERF_ZONE SHORTDATE WLELEV_2021 545 AM-10 546 AM-10/1 ORANGE COUNTY WATER DISTRICT 6071304.771 2257813.261 Monitoring Well 217-235 7/7/2021 121.51 557 AM-11 558 AM-11/1 ORANGE COUNTY WATER DISTRICT 6072499.755 2255656.617 Monitoring Well 218-240 6/30/2021 121.98 555 AM-12 556 AM-12/1 ORANGE COUNTY WATER DISTRICT 6070962.221 2255565.488 Monitoring Well 210-225 7/7/2021 113.56 553 AM-13 554 AM-13/1 ORANGE COUNTY WATER DISTRICT 6072701.528 2256964.39 Monitoring Well 252-270 6/30/2021 128.38 2744 AM-15A 2745 AM-15A/1 ORANGE COUNTY WATER DISTRICT 6062585.788 2256914.422 Monitoring Well 214-220 6/25/2021 89.81 2895 AM-19A 2896 AM-19A/1 ORANGE COUNTY WATER DISTRICT 6065134.464 2236977.559 Monitoring Well 115-123 6/25/2021 77.56 1022 AM-2 1023 AM-2/1 ORANGE COUNTY WATER DISTRICT 6091404.587 2263383.522 Monitoring Well 87-100 6/30/2021 246.46 6515 AM-21A 6516 AM-21A/1 ORANGE COUNTY WATER DISTRICT 6067232.542 2241283.088 Monitoring Well 157-165 6/25/2021 90.52 7011 AM-25A 7012 AM-25A/1 ORANGE COUNTY WATER DISTRICT 6060775.248 2252483.682 Monitoring Well 188-195 6/25/2021 84.41 1020 AM-3 1021 AM-3/1 ORANGE COUNTY WATER DISTRICT 6090425.411 2261850.384 Monitoring Well 91-107 6/30/2021 245.62 7543 AM-30A 7544 AM-30A/1 ORANGE COUNTY WATER DISTRICT 6046015.103 2255909.924 Monitoring Well 152-159 6/25/2021 55.16 22901 AM-31AR 22902 AM-31AR/1 ORANGE COUNTY WATER DISTRICT 6052258.095 2257683 Monitoring Well 150-170 7/8/2021 69.05 8904 AM-39A 8905 AM-39A/1 ORANGE COUNTY WATER DISTRICT 6057788.178 2260561.644 Monitoring Well 115-135 6/29/2021 82.15 549 AM-4 550 AM-4/1 ORANGE COUNTY WATER DISTRICT 6078257.417 2258629.141 Monitoring Well 187-205 7/7/2021 166.388 8908 AM-40A 8909 AM-40A/1 ORANGE COUNTY WATER DISTRICT 6057765.028 2259083.041 Monitoring Well 145-165 6/25/2021 83.08 10147 AM-41A 10148 AM-41A/1 ORANGE COUNTY WATER DISTRICT 6055818.758 2261031.665 Monitoring Well 156-166 6/30/2021 77.7 8232 AM-42A 8233 AM-42A/1 ORANGE COUNTY WATER DISTRICT 6057305.512 2258837.864 Monitoring Well 115-130 <Null> <Null> 14615 AM-44 14616 AM-44/1 ORANGE COUNTY WATER DISTRICT 6075009.801 2261947.637 Monitoring Well 140-160 6/30/2021 168.75 15331 AM-45 15332 AM-45/1 ORANGE COUNTY WATER DISTRICT 6071037.809 2252432.19 Monitoring Well 102-132 7/7/2021 104.04 15329 AM-46 15330 AM-46/1 ORANGE COUNTY WATER DISTRICT 6073338.847 2254329.24 Monitoring Well 94-124 7/7/2021 124.15 20711 AM-47A 20712 AM-47A/1 ORANGE COUNTY WATER DISTRICT 6054345.1 2258323.2 Monitoring Well 160-170 6/25/2021 73.68 20703 AM-48A 20704 AM-48A/1 ORANGE COUNTY WATER DISTRICT 6069389.1 2259146.8 Monitoring Well 116-146 7/8/2021 114.1 20760 AM-49 20761 AM-49/1 ORANGE COUNTY WATER DISTRICT 6068833 2259389.2 Monitoring Well 120-150 6/30/2021 112.28 22372 AM-50 22373 AM-50/1 ORANGE COUNTY WATER DISTRICT 6075090.3 2260329.2 Monitoring Well 140-150 7/1/2021 158.68 22714 AM-51 22715 AM-51/1 ORANGE COUNTY WATER DISTRICT 6078407.7 2256724.2 Monitoring Well 105-125 7/1/2021 176.413 23001 AM-52 23002 AM-52/1 ORANGE COUNTY WATER DISTRICT 6074643.8 2257784.5 Monitoring Well 140-150 7/1/2021 145.33 22939 AM-53 22940 AM-53/1 ORANGE COUNTY WATER DISTRICT 6076000.9 2255632.4 Monitoring Well 35-50 6/30/2021 199.08 23209 AM-54A 23210 AM-54A/1 ORANGE COUNTY WATER DISTRICT 6055949.4 2259518.7 Monitoring Well 102-117 6/25/2021 77.92 2732 AM-5A 2733 AM-5A/1 ORANGE COUNTY WATER DISTRICT 6078678.675 2259935.902 Monitoring Well 168-175 7/7/2021 166.45 551 AM-6 552 AM-6/1 ORANGE COUNTY WATER DISTRICT 6075037.515 2257301.421 Monitoring Well 232-250 7/7/2021 143.29 2734 AM-7 2735 AM-7/1 ORANGE COUNTY WATER DISTRICT 6071731.515 2260900.336 Monitoring Well 210-225 7/7/2021 131.58 2736 AM-8 2737 AM-8/1 ORANGE COUNTY WATER DISTRICT 6069027.597 2259867.528 Monitoring Well 268-285 7/7/2021 112.8 2738 AM-9 2739 AM-9/1 ORANGE COUNTY WATER DISTRICT 6068551.962 2256957.039 Monitoring Well 285-303 6/30/2021 106.16 14585 AMD-9 14586 AMD-9/1 ORANGE COUNTY WATER DISTRICT 6075825.081 2261784.701 Monitoring Well 200-220 7/1/2021 158.94 18333 FM-10A 18334 FM-10A/1 ORANGE COUNTY WATER DISTRICT 6057594.391 2262015.979 Monitoring Well 151-171 6/29/2021 80.97 18337 FM-11A 18338 FM-11A/1 ORANGE COUNTY WATER DISTRICT 6054079.666 2261018.177 Monitoring Well 134-154 6/30/2021 73.93 18341 FM-12A 18342 FM-12A/1 ORANGE COUNTY WATER DISTRICT 6058082.287 2263020.488 Monitoring Well 135-155 6/29/2021 82.13 18345 FM-13A 18346 FM-13A/1 ORANGE COUNTY WATER DISTRICT 6064721.254 2262602.268 Monitoring Well 140-160 7/1/2021 93.9 18349 FM-14A 18350 FM-14A/1 ORANGE COUNTY WATER DISTRICT 6064616.249 2263074.072 Monitoring Well 147-167 7/2/2021 93.36 18353 FM-15A 18354 FM-15A/1 ORANGE COUNTY WATER DISTRICT 6054101.553 2262617.193 Monitoring Well 120-140 6/29/2021 71.92 18414 FM-16A 18415 FM-16A/1 ORANGE COUNTY WATER DISTRICT 6063638.746 2262326.768 Monitoring Well 125-145 7/3/2021 91.85 19614 FM-18A 19615 FM-18A/1 ORANGE COUNTY WATER DISTRICT 6049386.482 2263643.669 Monitoring Well 120.5-150.5 6/29/2021 63.93 19618 FM-19A 19619 FM-19A/1 ORANGE COUNTY WATER DISTRICT 6051553.311 2262443.484 Monitoring Well 115-135 6/29/2021 68.63 7019 FM-1A 7020 FM-1A/1 ORANGE COUNTY WATER DISTRICT 6053145.617 2258731.83 Monitoring Well 164-172 6/25/2021 71.88 20764 FM-20A 20765 FM-20A/1 ORANGE COUNTY WATER DISTRICT 6053785.7 2263876.3 Monitoring Well 130-150 6/29/2021 72.54 20768 FM-21A 20769 FM-21A/1 ORANGE COUNTY WATER DISTRICT 6047768.5 2262675.5 Monitoring Well 140-160 6/29/2021 60.141 20753 FM-22A 20754 FM-22A/1 ORANGE COUNTY WATER DISTRICT 6051124.3 2260372.1 Monitoring Well 150-170 6/25/2021 67.28 20884 FM-23A 20885 FM-23A/1 ORANGE COUNTY WATER DISTRICT 6054153.6 2260625.1 Monitoring Well 128-143 6/29/2021 74.3 20701 FM-24A 20702 FM-24A/1 ORANGE COUNTY WATER DISTRICT 6051431.3 2258787.9 Monitoring Well 154-174 6/25/2021 67.61 20316 FM-25 20317 FM-25/1 ORANGE COUNTY WATER DISTRICT 6068593.3 2262774.2 Monitoring Well 132-152 6/30/2021 110.53 20878 FM-26 20879 FM-26/1 ORANGE COUNTY WATER DISTRICT 6053369.5 2263220 Monitoring Well 145-155 <Null> <Null> 20894 FM-27 20895 FM-27/1 ORANGE COUNTY WATER DISTRICT 6054575.1 2263550.9 Monitoring Well 105-125 6/29/2021 74.86 23221 FM-29A 23222 FM-29A/1 ORANGE COUNTY WATER DISTRICT 6048986.6 2262406 Monitoring Well 150-170 6/29/2021 62.36 23571 FM-30A 23572 FM-30A/1 ORANGE COUNTY WATER DISTRICT 6061066.47 2263552.561 Monitoring Well 106-126 6/29/2021 86.65 23227 FM-31A 23228 FM-31A/1 ORANGE COUNTY WATER DISTRICT 6054066.6 2261852.6 Monitoring Well 122-137 6/29/2021 73.97 23231 FM-32A 23232 FM-32A/1 ORANGE COUNTY WATER DISTRICT 6045296.9 2263968.8 Monitoring Well 135-155 6/29/2021 56.56 23483 FM-33A 23484 FM-33A/1 ORANGE COUNTY WATER DISTRICT 6052364.7 2264780 Monitoring Well 135-155 6/29/2021 69.67 23575 FM-34A 23576 FM-34A/1 ORANGE COUNTY WATER DISTRICT 6057208.2 2265369.9 Monitoring Well 114-124 7/8/2021 81.62 23894 FM-35A 23895 FM-35A/1 ORANGE COUNTY WATER DISTRICT 6062993.381 2262539.528 Monitoring Well 180.1-195.1 7/6/2021 89.8 7521 FM-4A 7522 FM-4A/1 ORANGE COUNTY WATER DISTRICT 6048400.799 2258801.821 Monitoring Well 142-160 6/25/2021 60.89 7932 FM-5 7933 FM-5/1 ORANGE COUNTY WATER DISTRICT 6059389.1 2261084.6 Monitoring Well 121-141 6/29/2021 85 9947 FM-6 9948 FM-6/1 ORANGE COUNTY WATER DISTRICT 6053264.065 2274113.568 Monitoring Well 150-310 6/30/2021 175.28 10145 FM-7A 10146 FM-7A/1 ORANGE COUNTY WATER DISTRICT 6054314.136 2259267.565 Monitoring Well 160-170 6/25/2021 74.11 18325 FM-8 18326 FM-8/1 ORANGE COUNTY WATER DISTRICT 6059585.097 2263564.489 Monitoring Well 114-134 6/29/2021 84.74 18329 FM-9A 18330 FM-9A/1 ORANGE COUNTY WATER DISTRICT 6063388.839 2262959.974 Monitoring Well 166-186 6/30/2021 89 19009 IDM-3 19010 IDM-3/1 ORANGE COUNTY WATER DISTRICT 6099726.882 2201438.084 Monitoring Well 174-194 6/28/2021 94.682 19404 IDM-4 19405 IDM-4/1 ORANGE COUNTY WATER DISTRICT 6103585.541 2200230.218 Monitoring Well 136-156 6/28/2021 107.205 19478 IDP-2R 19479 IDP-2R/1 ORANGE COUNTY WATER DISTRICT 6106015.21 2193086.752 Monitoring Well 155-195 6/28/2021 115.845 721 KBS-1 998 KBS-1/1 ORANGE COUNTY WATER DISTRICT 6074374.124 2260345.831 Monitoring Well 209-219 7/1/2021 154.21 14600 KBS-4 14601 KBS-4/1 ORANGE COUNTY WATER DISTRICT 6073595.666 2262004.207 Monitoring Well 138-158 7/7/2021 154.88 1360 MCAS-4 1361 MCAS-4/1 ORANGE COUNTY WATER DISTRICT 6098189.884 2189446.916 Monitoring Well 181-238 6/28/2021 95.46 10217 MCAS-5A 10218 MCAS-5A/1 ORANGE COUNTY WATER DISTRICT 6101340.027 2187474.726 Monitoring Well 120-130 6/28/2021 118.26 21062 OCWD-34X40 21063 OCWD-34X40/1 ORANGE COUNTY WATER DISTRICT 6005285 2228276.5 Monitoring Well 88-113 <Null> <Null> 23057 OCWD-34Y01 23058 OCWD-34Y01/1 ORANGE COUNTY WATER DISTRICT 6001790.9 2226024.1 Monitoring Well 60-80 7/6/2021 2.734 5410 OCWD-35H11 5413 OCWD-35H11/1 ORANGE COUNTY WATER DISTRICT 6002891.562 2224892.037 Monitoring Well 44-77 7/6/2021 -1.064 5414 OCWD-35N01 5416 OCWD-35N01/1 ORANGE COUNTY WATER DISTRICT 6001915.345 2223579.533 Monitoring Well 39-79 <Null> <Null> 2859 OCWD-AIR1 2860 OCWD-AIR1/1 ORANGE COUNTY WATER DISTRICT 6037614.933 2265072.135 Monitoring Well 200-250 6/29/2021 39.807 3327 OCWD-AN2 3328 OCWD-AN2/1 ORANGE COUNTY WATER DISTRICT 6078166.807 2262263.165 Monitoring Well 35-115 6/28/2021 174.34 3317 OCWD-BP3 3318 OCWD-BP3/1 ORANGE COUNTY WATER DISTRICT 6069054.595 2245231.281 Monitoring Well 185-205 7/7/2021 97.415 3311 OCWD-BP4 3312 OCWD-BP4/1 ORANGE COUNTY WATER DISTRICT 6070719.841 2250468.164 Monitoring Well 140-180 7/7/2021 91.57 20224 OCWD-BP5 20226 OCWD-BP5/2 ORANGE COUNTY WATER DISTRICT 6069894.721 2249887.593 Monitoring Well 146.5-166.5 7/7/2021 125.41 20227 OCWD-BP6 20228 OCWD-BP6/1 ORANGE COUNTY WATER DISTRICT 6069328.8 2249065.103 Monitoring Well 148-168 7/7/2021 102.79 20229 OCWD-BP7 20231 OCWD-BP7/2 ORANGE COUNTY WATER DISTRICT 6069218.53 2247697.383 Monitoring Well 148-168 7/7/2021 101.76 22323 OCWD-BS10 22324 OCWD-BS10/1 ORANGE COUNTY WATER DISTRICT 6013179.752 2219396.307 Monitoring Well 100-110 7/1/2021 -13.06 22330 OCWD-BS11 22331 OCWD-BS11/1 ORANGE COUNTY WATER DISTRICT 6008506.1 2221300 Monitoring Well 95-115 7/1/2021 -9.453 22774 OCWD-BS12 22968 OCWD-BS12/1 ORANGE COUNTY WATER DISTRICT 6015660.3 2214181.8 Monitoring Well 115-125 7/1/2021 -12.659 23682 OCWD-BS13A 23683 OCWD-BS13A/1 ORANGE COUNTY WATER DISTRICT 6009763.8 2214240.5 Monitoring Well 127-132 7/1/2021 -10.876 22776 OCWD-BS14 22912 OCWD-BS14/1 ORANGE COUNTY WATER DISTRICT 6003965.9 2221842.9 Monitoring Well 75-85 7/1/2021 -4.65 19673 OCWD-BS16 19674 OCWD-BS16/1 ORANGE COUNTY WATER DISTRICT 6021997.663 2201854.703 Monitoring Well 60-80 7/1/2021 -9.627 19675 OCWD-BS18 19676 OCWD-BS18/1 ORANGE COUNTY WATER DISTRICT 6018119.189 2205526.66 Monitoring Well 72-82 7/1/2021 -11.001 22899 OCWD-BS18B 22900 OCWD-BS18B/1 ORANGE COUNTY WATER DISTRICT 6018114.308 2205521.438 Monitoring Well 52-62 7/1/2021 -11.192 19854 OCWD-BS19 19855 OCWD-BS19/1 ORANGE COUNTY WATER DISTRICT 6019002.9 2203605.503 Monitoring Well 62.5-82.5 7/1/2021 -9.346 20140 OCWD-BS20B 20141 OCWD-BS20B/1 ORANGE COUNTY WATER DISTRICT 6018514.448 2207922.493 Monitoring Well 70.8-80.8 6/24/2021 -9.28 22778 OCWD-BS21 22895 OCWD-BS21/1 ORANGE COUNTY WATER DISTRICT 6004262.7 2223732.4 Monitoring Well 65-85 6/29/2021 -2.96 23498 OCWD-BS24A 23500 OCWD-BS24A/1 ORANGE COUNTY WATER DISTRICT 6005236.2 2219558.6 Monitoring Well 87.5-92.5 7/1/2021 -8.055 2867 OCWD-CTG1 2868 OCWD-CTG1/1 ORANGE COUNTY WATER DISTRICT 6061970.346 2206073.478 Monitoring Well 160-260 6/30/2021 32.73 3309 OCWD-FC2 3310 OCWD-FC2/1 ORANGE COUNTY WATER DISTRICT 6072303.404 2252609.097 Monitoring Well 95-115 7/7/2021 105.49 3305 OCWD-FH1 3306 OCWD-FH1/1 ORANGE COUNTY WATER DISTRICT 6081695.772 2257027.264 Monitoring Well 120-140 7/7/2021 213.83 2 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Shallow Aquifer Wells (Model Layer 1)
STAID1 WELLNM STAID STANAME OWNERNM NAD83_X NAD83_Y GIS_SYMNM PERF_ZONE SHORTDATE WLELEV_2021 7056 OCWD-GA2 7057 OCWD-GA2/1 ORANGE COUNTY WATER DISTRICT 6024924.606 2202223.668 Monitoring Well 30-40 6/24/2021 -4.615 23477 OCWD-HG2 23478 OCWD-HG2/1 ORANGE COUNTY WATER DISTRICT 6090811.6 2258833 Monitoring Well 43-48 7/7/2021 258.38 543 OCWD-KB1 544 OCWD-KB1/1 ORANGE COUNTY WATER DISTRICT 6073294.322 2259903.951 Monitoring Well 180-200 7/7/2021 141.77 20232 OCWD-LB1 20234 OCWD-LB1/2 ORANGE COUNTY WATER DISTRICT 6070964.86 2251336.473 Monitoring Well 148-168 7/7/2021 97.07 20237 OCWD-LB3 20239 OCWD-LB3/2 ORANGE COUNTY WATER DISTRICT 6071277.961 2250678.833 Monitoring Well 145-165 7/7/2021 93.26 21196 OCWD-LB4 21198 OCWD-LB4/2 ORANGE COUNTY WATER DISTRICT 6070798.52 2250812.078 Monitoring Well 78-88 7/7/2021 121.19 3303 OCWD-LV1 3304 OCWD-LV1/1 ORANGE COUNTY WATER DISTRICT 6085675.722 2259327.385 Monitoring Well 135-155 7/7/2021 237.5 3020 OCWD-M1 3021 OCWD-M1/1 ORANGE COUNTY WATER DISTRICT 6042016.978 2187264.062 Monitoring Well 75-110 6/30/2021 2.55 2906 OCWD-M10 2907 OCWD-M10/1 ORANGE COUNTY WATER DISTRICT 6038138.474 2201788.445 Monitoring Well 80-160 6/29/2021 2.175 2911 OCWD-M11 2912 OCWD-M11/1 ORANGE COUNTY WATER DISTRICT 6040661.307 2201457.181 Monitoring Well 70-105 6/30/2021 3.83 2924 OCWD-M12 2925 OCWD-M12/1 ORANGE COUNTY WATER DISTRICT 6043375.718 2201517.376 Monitoring Well 70-110 6/30/2021 5.775 2929 OCWD-M13 2930 OCWD-M13/1 ORANGE COUNTY WATER DISTRICT 6045991.781 2201410.369 Monitoring Well 65-95 6/30/2021 10.798 2947 OCWD-M14A 2948 OCWD-M14A/1 ORANGE COUNTY WATER DISTRICT 6046612.239 2200062.034 Monitoring Well 60-90 6/28/2021 7.94 2954 OCWD-M15A 2955 OCWD-M15A/1 ORANGE COUNTY WATER DISTRICT 6046620.011 2199773.098 Monitoring Well 60-85 6/28/2021 6.96 2961 OCWD-M16 2962 OCWD-M16/1 ORANGE COUNTY WATER DISTRICT 6046615.518 2199268.584 Monitoring Well 65-90 6/28/2021 4.264 2966 OCWD-M17A 2967 OCWD-M17A/1 ORANGE COUNTY WATER DISTRICT 6046331.102 2200365.515 Monitoring Well 60-95 6/28/2021 7.867 2934 OCWD-M19 2935 OCWD-M19/1 ORANGE COUNTY WATER DISTRICT 6046001.209 2200836.043 Monitoring Well 60-110 6/30/2021 8.575 3022 OCWD-M2 3023 OCWD-M2/1 ORANGE COUNTY WATER DISTRICT 6039248.099 2187144.76 Monitoring Well 85-150 6/28/2021 4.202 2938 OCWD-M20 2939 OCWD-M20/1 ORANGE COUNTY WATER DISTRICT 6045975.835 2200531.536 Monitoring Well 60-105 6/30/2021 8.088 4395 OCWD-M21 4398 OCWD-M21/1 ORANGE COUNTY WATER DISTRICT 6046004.999 2200239.171 Monitoring Well 65-100 6/30/2021 7.39 2976 OCWD-M22 2977 OCWD-M22/1 ORANGE COUNTY WATER DISTRICT 6046004.496 2199936.42 Monitoring Well 70-105 6/30/2021 7.525 2987 OCWD-M24 2988 OCWD-M24/1 ORANGE COUNTY WATER DISTRICT 6045442.857 2199803.456 Monitoring Well 70-95 6/24/2021 6.605 3026 OCWD-M25 3027 OCWD-M25/1 ORANGE COUNTY WATER DISTRICT 6033478.884 2192672.122 Monitoring Well 65-185 6/30/2021 4.323 3014 OCWD-M26 3015 OCWD-M26/1 ORANGE COUNTY WATER DISTRICT 6040602.649 2193477.553 Monitoring Well 70-135 7/1/2021 3.386 3016 OCWD-M27 3017 OCWD-M27/1 ORANGE COUNTY WATER DISTRICT 6043039.524 2189845.444 Monitoring Well 60-110 6/30/2021 3.357 3030 OCWD-M28 3031 OCWD-M28/1 ORANGE COUNTY WATER DISTRICT 6040384.981 2184652.638 Monitoring Well 80-145 6/30/2021 3.808 3018 OCWD-M30 3019 OCWD-M30/1 ORANGE COUNTY WATER DISTRICT 6043301.989 2183249.013 Monitoring Well 90-110 6/28/2021 3.325 3024 OCWD-M31 3025 OCWD-M31/1 ORANGE COUNTY WATER DISTRICT 6040492.197 2179496.985 Monitoring Well 82-162 6/28/2021 4.918 11859 OCWD-M36 11860 OCWD-M36/1 ORANGE COUNTY WATER DISTRICT 6035356.833 2200840.246 Monitoring Well 80-90 6/28/2021 2.46 14515 OCWD-M37 14516 OCWD-M37/1 ORANGE COUNTY WATER DISTRICT 6035034.164 2201302.677 Monitoring Well 120-130 6/28/2021 1.78 15127 OCWD-M38 15128 OCWD-M38/1 ORANGE COUNTY WATER DISTRICT 6030736.262 2198146.213 Monitoring Well 94-104 6/30/2021 0.234 2992 OCWD-M4 2993 OCWD-M4/1 ORANGE COUNTY WATER DISTRICT 6049340.682 2199524.535 Monitoring Well 80-120 6/28/2021 3.04 16654 OCWD-M40 16655 OCWD-M40/1 ORANGE COUNTY WATER DISTRICT 6051222.286 2195005.215 Monitoring Well 85-105 6/28/2021 0.72 18425 OCWD-M41 18427 OCWD-M41/2 ORANGE COUNTY WATER DISTRICT 6031312.152 2196141.497 Monitoring Well 95-105 6/30/2021 1.256 18418 OCWD-M42 18419 OCWD-M42/1 ORANGE COUNTY WATER DISTRICT 6030956.495 2201880.558 Monitoring Well 100-120 6/24/2021 -1.085 23769 OCWD-M43R 23770 OCWD-M43R/1 ORANGE COUNTY WATER DISTRICT 6056258.4 2193225.9 Monitoring Well 75-95 6/28/2021 -10.84 20371 OCWD-M44 20372 OCWD-M44/1 ORANGE COUNTY WATER DISTRICT 6048200.8 2193011.3 Monitoring Well 50-60 6/28/2021 5.089 19640 OCWD-M45 19641 OCWD-M45/1 ORANGE COUNTY WATER DISTRICT 6040339.8 2203350.603 Monitoring Well 195-205 6/30/2021 1.11 18766 OCWD-M48 18767 OCWD-M48/1 ORANGE COUNTY WATER DISTRICT 6059972.844 2188953.882 Monitoring Well 80-100 6/28/2021 -25.796 2942 OCWD-M5 2943 OCWD-M5/1 ORANGE COUNTY WATER DISTRICT 6046006.801 2199404.116 Monitoring Well 65-95 6/30/2021 6.035 22780 OCWD-M51A 22847 OCWD-M51A/1 ORANGE COUNTY WATER DISTRICT 6065086.6 2189052.9 Monitoring Well 28-38 6/24/2021 6.643 22782 OCWD-M52A 22845 OCWD-M52A/1 ORANGE COUNTY WATER DISTRICT 6067063.8 2192832.5 Monitoring Well 46-56 6/24/2021 14.66 22783 OCWD-M53A 22849 OCWD-M53A/1 ORANGE COUNTY WATER DISTRICT 6070492.9 2196785 Monitoring Well 21.5-31.5 7/27/2021 21.502 22785 OCWD-M54A 22852 OCWD-M54A/1 ORANGE COUNTY WATER DISTRICT 6074213.9 2188681.7 Monitoring Well 38-43 6/24/2021 -18.326 23136 OCWD-M55B 23137 OCWD-M55B/1 ORANGE COUNTY WATER DISTRICT 6073271.8 2195029.2 Monitoring Well 57-67 6/24/2021 24.195 23138 OCWD-M56 23139 OCWD-M56/1 ORANGE COUNTY WATER DISTRICT 6076007.2 2194374.4 Monitoring Well 106-116 6/24/2021 12.115 23819 OCWD-M57 23820 OCWD-M57/1 ORANGE COUNTY WATER DISTRICT 6043815.8 2186794.1 Monitoring Well 80-130 6/28/2021 3.257 23888 OCWD-M58A 23889 OCWD-M58A/1 ORANGE COUNTY WATER DISTRICT 6038939.075 2198039.987 Monitoring Well 80-90 6/28/2021 2.69 2997 OCWD-M6A 2998 OCWD-M6A/1 ORANGE COUNTY WATER DISTRICT 6043358.318 2199431.427 Monitoring Well 65-125 6/30/2021 5.345 2916 OCWD-M7A 2917 OCWD-M7A/1 ORANGE COUNTY WATER DISTRICT 6040722.972 2199455.757 Monitoring Well 70-135 7/1/2021 4.75 3004 OCWD-M8 3005 OCWD-M8/1 ORANGE COUNTY WATER DISTRICT 6036253.121 2199205.112 Monitoring Well 50-150 6/24/2021 4.403 3009 OCWD-M9 3011 OCWD-M9/2 ORANGE COUNTY WATER DISTRICT 6033874.971 2200507.549 Monitoring Well 135-155 6/30/2021 2.905 22659 OCWD-SA22R 22661 OCWD-SA22R/2 ORANGE COUNTY WATER DISTRICT 6036740.5 2194795.1 Monitoring Well 100-130 6/30/2021 2.618 3978 OCWD-T2 3980 OCWD-T2/2 ORANGE COUNTY WATER DISTRICT 6035679.306 2192640.337 Monitoring Well 70-170 6/24/2021 3.624 4804 OCWD-T3 4805 OCWD-T3/1 ORANGE COUNTY WATER DISTRICT 6035928.37 2192634.905 Monitoring Well 65-85 6/30/2021 2.581 3985 OCWD-T4 4846 OCWD-T4/1 ORANGE COUNTY WATER DISTRICT 6036181.511 2192629.058 Monitoring Well 68-168 6/30/2021 3.314 3982 OCWD-T5 3983 OCWD-T5/1 ORANGE COUNTY WATER DISTRICT 6035375.819 2190450.423 Monitoring Well 110-190 6/30/2021 4.479 20892 OCWD-YLR3 20893 OCWD-YLR3/1 ORANGE COUNTY WATER DISTRICT 6087613.912 2264061.986 Monitoring Well 31-36 6/30/2021 237.2 1052 OM-2A 1053 OM-2A/1 ORANGE COUNTY WATER DISTRICT 6064189.6 2231238.364 Monitoring Well 118-125 6/25/2021 63.638 1039 OM-4A 1040 OM-4A/1 ORANGE COUNTY WATER DISTRICT 6066713.864 2235618.971 Monitoring Well 112-117 6/23/2021 76.25 6519 OM-8A 6520 OM-8A/1 ORANGE COUNTY WATER DISTRICT 6068864.508 2240692.482 Monitoring Well 156-164 6/25/2021 89.55 20962 SAM-1 20964 SAM-1/2 ORANGE COUNTY WATER DISTRICT 6074659.6 2209328.2 Monitoring Well 132-147 6/30/2021 40.67 23285 SAM-10C 23286 SAM-10C/1 ORANGE COUNTY WATER DISTRICT 6075362.1 2201059 Monitoring Well 77.5-82.5 7/1/2021 31.8 23291 SAM-11D 23292 SAM-11D/1 ORANGE COUNTY WATER DISTRICT 6076595.5 2202810.9 Monitoring Well 90-100 6/30/2021 34.47 23297 SAM-13D 23298 SAM-13D/1 ORANGE COUNTY WATER DISTRICT 6073031.3 2202354.5 Monitoring Well 91.5-101.5 6/30/2021 32.14 20984 SAM-2 20986 SAM-2/2 ORANGE COUNTY WATER DISTRICT 6072812.2 2208121.4 Monitoring Well 121-131 6/30/2021 39.83 20958 SAM-3 20960 SAM-3/2 ORANGE COUNTY WATER DISTRICT 6074219.9 2207608.9 Monitoring Well 122-142 6/30/2021 39.53 20970 SAM-4 20972 SAM-4/2 ORANGE COUNTY WATER DISTRICT 6072905.5 2206698.6 Monitoring Well 120-135 6/30/2021 38.16 20966 SAM-5 20968 SAM-5/2 ORANGE COUNTY WATER DISTRICT 6072894 2205886.2 Monitoring Well 115-130 6/30/2021 37.31 20948 SAM-6 20950 SAM-6/2 ORANGE COUNTY WATER DISTRICT 6075457.3 2205983.5 Monitoring Well 114-134 <Null> <Null> 23263 SAM-7C 23264 SAM-7C/1 ORANGE COUNTY WATER DISTRICT 6070824 2202542.5 Monitoring Well 106-111 7/1/2021 31.32 23301 SAM-8C 23302 SAM-8C/1 ORANGE COUNTY WATER DISTRICT 6072805.6 2199933 Monitoring Well 65.5-75.5 6/30/2021 28.61 23275 SAM-9C 23276 SAM-9C/1 ORANGE COUNTY WATER DISTRICT 6074482.7 2198350.3 Monitoring Well 58.5-63.5 6/30/2021 26.56 23824 SAR-14B 23825 SAR-14B/1 ORANGE COUNTY WATER DISTRICT 6099053.012 2261319.993 Monitoring Well 37-42 <Null> <Null> 20926 SCS-11 20927 SCS-11/1 ORANGE COUNTY WATER DISTRICT 6070448.4 2228003 Monitoring Well 156-166 7/8/2021 48.71 20929 SCS-12 20930 SCS-12/1 ORANGE COUNTY WATER DISTRICT 6067610.6 2228198.9 Monitoring Well 170-180 7/8/2021 60.2 15392 SCS-6 15394 SCS-6/2 ORANGE COUNTY WATER DISTRICT 6081489.879 2232585.107 Monitoring Well 147-152.5 7/8/2021 85.86 15395 SCS-7 15397 SCS-7/2 ORANGE COUNTY WATER DISTRICT 6080943.41 2232168.833 Monitoring Well 125-140.5 7/8/2021 93.62 15398 SCS-8 15399 SCS-8/1 ORANGE COUNTY WATER DISTRICT 6081887.799 2233776.982 Monitoring Well 108-128.5 7/8/2021 120.23 18179 SCS-9 18180 SCS-9/1 ORANGE COUNTY WATER DISTRICT 6082464.896 2233574.788 Monitoring Well 153-173 7/8/2021 76 997 ABS-1 22665 ABS-1/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT 6076226.851 2262977.612 Multiport Monitoring Well MP3 (257) 7/7/2021 158.375 547 AMD-1 21135 AMD-1/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT 6073916.932 2258572.091 Multiport Monitoring Well MP3 (182) 6/30/2021 144.17 565 AMD-2 22202 AMD-2/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6066705.21 2254540.618 Multiport Monitoring Well MP1 (157) 6/29/2021 99.56 6410 AMD-3 6433 AMD-3/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6057347.584 2256481.116 Multiport Monitoring Well MP2 (135) <Null> <Null> 7295 AMD-5 7315 AMD-5/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6060070.244 2248962.576 Multiport Monitoring Well MP2 (201) 6/28/2021 81.17 7293 AMD-6 7477 AMD-6/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6057374.729 2241092.645 Multiport Monitoring Well MP2 (152) 6/28/2021 69.17 8596 AMD-7 8748 AMD-7/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6049188.026 2247218.215 Multiport Monitoring Well MP1 (121) 6/28/2021 59.63 9682 AMD-8 9903 AMD-8/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6033488.697 2249624.328 Multiport Monitoring Well MP2 (180) 7/12/2021 44.575 9831 BPM-1 9980 BPM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6022348.508 2259541.566 Multiport Monitoring Well MP1 (129) 7/12/2021 26.87 9832 BPM-2 10174 BPM-2/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6025195.413 2246739.597 Multiport Monitoring Well MP1 (181) 7/12/2021 35.65 685 CB-1 8787 CB-1/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6044695.232 2253837.186 Multiport Monitoring Well MP2 (143) 7/6/2021 53.15 5155 COSM-1 7143 COSM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6055253.401 2197825.036 Multiport Monitoring Well MP1 (92) 6/30/2021 2.01 18846 COSM-2 18860 COSM-2/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6052266.414 2199776.431 Multiport Monitoring Well MP2 (115) 6/30/2021 8.62 719 FFS-1 14241 FFS-1/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6061436.461 2262022.62 Multiport Monitoring Well MP1 (181) 7/6/2021 88.13 1291 FVM-1 15685 FVM-1/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6047178.815 2210990.613 Multiport Monitoring Well MP2 (173) 6/22/2021 28.21 7297 GGM-1 10021 GGM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6045688.299 2230864.24 Multiport Monitoring Well MP1 (150) 7/8/2021 51.65 8923 GGM-2 9045 GGM-2/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6026525.607 2230233.156 Multiport Monitoring Well MP1 (213) 6/22/2021 26.83 8592 GGM-3 8661 GGM-3/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6037298.069 2237458.988 Multiport Monitoring Well MP1 (197) 7/8/2021 43.98 3 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Shallow Aquifer Wells (Model Layer 1)
STAID1 WELLNM STAID STANAME OWNERNM NAD83_X NAD83_Y GIS_SYMNM PERF_ZONE SHORTDATE WLELEV_2021 7178 HBM-1 8433 HBM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6031700.722 2216385.252 Multiport Monitoring Well MP1 (91) 7/2/2021 24.52 7086 HBM-2 7218 HBM-2/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6036228.737 2196532.383 Multiport Monitoring Well MP1 (112) 7/2/2021 3.49 9200 HBM-4 9219 HBM-4/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6034095.825 2197123.319 Multiport Monitoring Well MP2 (120) 7/2/2021 2.99 9688 HBM-5 9873 HBM-5/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6045744.869 2193971.856 Multiport Monitoring Well MP2 (76) 7/2/2021 9.36 15088 HBM-6 15239 HBM-6/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6025106.578 2204548.969 Multiport Monitoring Well MP1 (53) 7/2/2021 -6.84 720 IDM-1 18976 IDM-1/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6099572.243 2207081.537 Multiport Monitoring Well MP1 (86) 7/7/2021 92.85 9830 IDM-2 10059 IDM-2/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6080705.598 2209836.046 Multiport Monitoring Well MP1 (129) 7/7/2021 48.9 541 KBS-2 10226 KBS-2/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6073053.762 2260992.439 Multiport Monitoring Well MP2 (214) 6/21/2021 144.53 11949 LAM-1 12020 LAM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6009581.587 2238043.705 Multiport Monitoring Well MP1 (72) 6/15/2021 13.07 1345 MCAS-1 5841 MCAS-1/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6098255.481 2192973.357 Multiport Monitoring Well MP2 (155) 7/6/2021 97.79 759 MCAS-2 5926 MCAS-2/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6100360.442 2191167.958 Multiport Monitoring Well MP2 (135) 7/6/2021 106.75 1339 MCAS-3 5882 MCAS-3/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6104434.428 2191276.758 Multiport Monitoring Well MP2 (166) 7/6/2021 114.92 758 MCAS-7 11826 MCAS-7/1/WB3/MP1 ORANGE COUNTY WATER DISTRICT 6093900.827 2194418.586 Multiport Monitoring Well MP1 (92) 7/7/2021 83.2 756 SAR-1 9257 SAR-1/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6070684.206 2250425.314 Multiport Monitoring Well MP1 (162) 6/29/2021 92.52 761 SAR-2 11984 SAR-2/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6069096.008 2245410.807 Multiport Monitoring Well MP1 (141) 6/29/2021 99.88 762 SAR-3 9461 SAR-3/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6066892.02 2238409.284 Multiport Monitoring Well MP1 (164) 6/24/2021 81.47 763 SAR-4 14628 SAR-4/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6065370.966 2233375.154 Multiport Monitoring Well MP1 (123) 6/29/2021 70.47 1289 SAR-5 21217 SAR-5/1/WB3/MP2 ORANGE COUNTY WATER DISTRICT 6062597.607 2227874.211 Multiport Monitoring Well MP2 (172) 6/30/2021 58.48 996 SAR-7 19998 SAR-7/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6078049.17 2256383.048 Multiport Monitoring Well MP2 (171) 6/21/2021 183.21 559 SAR-8 22591 SAR-8/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT 6076100.201 2255671.218 Multiport Monitoring Well MP3 (161) 6/21/2021 204.32 7181 SAR-9 9796 SAR-9/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6058380.802 2221450.982 Multiport Monitoring Well MP1 (150) 6/30/2021 49.087 9686 SBM-1 9723 SBM-1/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6016566.11 2224523.54 Multiport Monitoring Well MP1 (79) 6/15/2021 8.535 1000 SC-1 21651 SC-1/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6089555.444 2242038.806 Multiport Monitoring Well MP1 (47) <Null> <Null> 1001 SC-2 18744 SC-2/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT 6086489.295 2237887.557 Multiport Monitoring Well MP3 (148) <Null> <Null> 2888 SC-4 6293 SC-4/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6082605.785 2235080.546 Multiport Monitoring Well MP1 (102) 3/10/2021 164.02 2854 SC-5 6327 SC-5/1/WB1/MP1 ORANGE COUNTY WATER DISTRICT 6077454.866 2225543.458 Multiport Monitoring Well MP1 (124) 7/1/2021 59.96 9684 SC-6 9754 SC-6/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6066813.288 2216032.113 Multiport Monitoring Well MP2 (202) 7/7/2021 47.93 1016 SCS-1 8863 SCS-1/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6088950.708 2237855.374 Multiport Monitoring Well MP2 (94) <Null> <Null> 1014 SCS-2 22649 SCS-2/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6088207.123 2239962.183 Multiport Monitoring Well MP1 (139) <Null> <Null> 1008 WBS-2A 10234 WBS-2A/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT 6082321.431 2259606.923 Multiport Monitoring Well MP2 (94) 6/21/2021 208.44 1011 WBS-4 19982 WBS-4/1/WB2/MP2 ORANGE COUNTY WATER DISTRICT 6080099.39 2256910.089 Multiport Monitoring Well MP2 (122) 6/21/2021 193.21 1293 WMM-1 19877 WMM-1/1/WB2/MP1 ORANGE COUNTY WATER DISTRICT 6038251.554 2221751.195 Multiport Monitoring Well MP1 (111) 7/8/2021 35.73 1124 OCWD-BESS 1152 OCWD-BESS/1 ORANGE COUNTY WATER DISTRICT 6080158.417 2258062.783 Other Active Production Well 172-189 7/7/2021 171.45 1399 OWOD-GG 1400 OWOD-GG/1 ORANGEWOOD ACADEMY 6057015.043 2226104.239 Other Active Production Well 159-179 6/28/2021 57.78 2268 W-2268 2270 W-2268/1 PRIVATE 6055379.538 2239905.999 Inactive Production Well 140-190 6/28/2021 65.1 2447 W-2447 2448 W-2447/1 PRIVATE 6039781.004 2230376.471 Inactive Production Well 157-178 6/30/2021 45.52 7046 W-7046 7047 W-7046/1 PRIVATE 6078609.174 2244437.793 Inactive Production Well - 7/8/2021 83.04 23777 PRUD-MW49 23778 PRUD-MW49/1 PRUDENTIAL REALTY CORPORATION 6075571.865 2190248.213 Monitoring Well 22-32 <Null> <Null> 23783 PRUD-TP07 23784 PRUD-TP07/1 PRUDENTIAL REALTY CORPORATION 6075439.364 2190268.695 Monitoring Well 22-32 <Null> <Null> 23785 PRUD-TP10 23786 PRUD-TP10/1 PRUDENTIAL REALTY CORPORATION 6075138.851 2190153.723 Monitoring Well 35-45 <Null> <Null> 22761 RAY-P07 22762 RAY-P07/1 RAYTHEON TECHNOLOGIES CORPORATION 6042051.6 2268371.59 Monitoring Well 107.7-129.6 6/30/2021 56.01 22763 RAY-P09 22764 RAY-P09/1 RAYTHEON TECHNOLOGIES CORPORATION 6042223.4 2268769.56 Monitoring Well 109.6-129.6 6/30/2021 68.63 1194 SANZ-C 1195 SANZ-C/1 SANCHEZ, AMELIA 6023494.753 2248016.248 Other Active Production Well 76-83 6/28/2021 42.58 1164 RODE-A 1165 RODE-A/1 SILICON SALVAGE 6035121.635 2259930.623 Other Active Production Well 178-208 6/28/2021 40.77 3743 TIC-127 3744 TIC-127/1 SOUTHERN CALIFORNIA EDISON 6098420.447 2188499.752 Monitoring Well - <Null> <Null> 19683 BOE-MW31S 19684 BOE-MW31S/1 THE BOEING COMPANY 6017036.97 2217640.872 Monitoring Well 78-88 6/7/2021 -3.481 20244 BOE-EW102 20245 BOE-EW102/1 THE BOEING COMPANY 6017705 2219232.003 Other Active Production Well 62-81.7 <Null> <Null> 1128 TMIX-O 1129 TMIX-O/1 TRANSIT MIXED CONCRETE COMPANY 6069953.158 2244552.046 Abandoned Well 76-288 6/29/2021 107.06 1370 T-NEWP 1371 T-NEWP/1 TUSTIN 6087882.616 2220782.263 Active Large-System Production Well 234-267 7/1/2021 31.06 21187 WRD-SEALBEACH-1 21188 WRD-SEALBEACH-1/1 WATER REPLENISHMENT DISTRICT 6002807.228 2229796.158 Monitoring Well 60-70 6/7/2021 -0.287 23796 XER-MW3 23797 XER-MW3/1 XEROX CORPORATION 6074925.4 2191231.3 Destroyed and Sealed Well 29-34 <Null> <Null> 23801 XER-MW5 23802 XER-MW5/1 XEROX CORPORATION 6076231.9 2191234.6 Monitoring Well 34.5-39.5 <Null> <Null> 23803 XER-OW50 23804 XER-OW50/1 XEROX CORPORATION 6074926.467 2191241.45 Monitoring Well 35-47 <Null> <Null> 7027 YLWD-16 7028 YLWD-16/1 YORBA LINDA WATER DISTRICT 6123141.996 2265497.536 Destroyed and Sealed Well 40-60 <Null> <Null> 7529 YLWD-17 7530 YLWD-17/1 YORBA LINDA WATER DISTRICT 6123146.156 2265420.578 Destroyed and Sealed Well 42-82 <Null> <Null> 1520 YLWD-15 1521 YLWD-15/1 YORBA LINDA WATER DISTRICT 6085437.359 2260363.815 Standby Large-System Production Well 133-198 <Null> <Null> 4 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Principal Aquifer Wells (Model Layer 2)
STAID1 WELLNM STAID STANAME OWNERNM GIS_SYMNM NAD83_X NAD83_Y PERF_ZONE SHORTDATE WLELEV_2021 NOTES 15484 AVCC-P2 15485 AVCC-P2/1 ALTA VISTA COUNTRY CLUB Other Active Production Well 6075388.705 2267012.656 210-770 6/29/2021 83.575 <Null> 903 A-39 904 A-39/1 ANAHEIM Active Large-System Production Well 6029597.629 2248076.493 540-1280 6/24/2021 0.95 <Null> 8 A-40 109 A-40/1 ANAHEIM Active Large-System Production Well 6042665.936 2241510.291 505-1220 6/25/2021 0.99 <Null> 2 A-42 102 A-42/1 ANAHEIM Active Large-System Production Well 6076410.19 2260884.14 430-1180 6/24/2021 158.27 <Null> 3 A-44 106 A-44/1 ANAHEIM Active Large-System Production Well 6075745.03 2262067.192 450-1130 6/24/2021 149.51 <Null> 18323 A-45 18324 A-45/1 ANAHEIM Active Large-System Production Well 6064928.908 2240047.749 455-1410 6/24/2021 70.25 <Null> 9029 A-46 9030 A-46/1 ANAHEIM Active Large-System Production Well 6063620.6 2247980.932 599-1529 6/24/2021 78.27 <Null> 3296 A-47 3297 A-47/1 ANAHEIM Active Large-System Production Well 6043274.016 2253508.899 482-1375 6/25/2021 6.94 <Null> 20128 A-48 20129 A-48/1 ANAHEIM Active Large-System Production Well 6039676.184 2252635.146 932-1344 6/25/2021 -8 <Null> 7175 A-49 7176 A-49/1 ANAHEIM Active Large-System Production Well 6051692.012 2255804.997 580-1450 6/24/2021 42.3 <Null> 18380 A-51 18381 A-51/1 ANAHEIM Active Large-System Production Well 6033547.226 2249423.825 525-965 6/25/2021 -13.82 <Null> 19546 A-52 19547 A-52/1 ANAHEIM Active Large-System Production Well 6077704.821 2261093.873 570-1066 6/24/2021 169.8 <Null> 19371 A-53 19372 A-53/1 ANAHEIM Active Large-System Production Well 6037376.558 2245173.272 945-1270 6/25/2021 -15 <Null> 20130 A-54 20131 A-54/1 ANAHEIM Active Large-System Production Well 6057250.4 2249808.49 680-1480 6/24/2021 37.5 <Null> 15155 A-55 15156 A-55/1 ANAHEIM Active Large-System Production Well 6057199.693 2240917.141 370-1300 6/24/2021 24.82 <Null> 20814 A-56 20815 A-56/1 ANAHEIM Active Large-System Production Well 6049068.109 2246784.849 725-1300 6/24/2021 11 <Null> 22689 A-58 22690 A-58/1 ANAHEIM Active Large-System Production Well 6076957.97 2260975.182 400-930 6/24/2021 157 <Null> 23093 A-59 23094 A-59/1 ANAHEIM Active Large-System Production Well 6050447.318 2241983.774 740-1270 6/24/2021 18 <Null> 9 A-41 112 A-41/1 ANAHEIM Inactive Production Well 6053236.333 2238146.843 437-1450 6/29/2021 17.41 <Null> 1 A-43 101 A-43/1 ANAHEIM Inactive Production Well 6075927.929 2261453.161 530-1210 6/24/2021 155.86 <Null> 882 A-DMGC 883 A-DMGC/1 ANAHEIM Other Active Production Well 6039662.685 2252561.822 430-482 6/25/2021 3 <Null> 11918 BP-BALL 11919 BP-BALL/1 BUENA PARK Active Large-System Production Well 6022213.798 2245381.375 260-870 6/28/2021 -8.9 <Null> 11890 BP-BOIS 11891 BP-BOIS/1 BUENA PARK Active Large-System Production Well 6035674.646 2258374.859 475-1355 6/30/2021 14.03 <Null> 6 BP-CABA 110 BP-CABA/1 BUENA PARK Active Large-System Production Well 6024286.125 2262965.786 250-1010 6/28/2021 -24.6 <Null> 394 BP-FREE 901 BP-FREE/1 BUENA PARK Active Large-System Production Well 6026742.413 2259834.394 260-1000 6/28/2021 -24.5 <Null> 13 BP-HOLD 103 BP-HOLD/1 BUENA PARK Active Large-System Production Well 6024539.646 2250081.536 250-1000 7/1/2021 -6.4 <Null> 205 BP-KNOT 206 BP-KNOT/1 BUENA PARK Active Large-System Production Well 6026889.096 2263326.166 260-1000 6/28/2021 -22.7 <Null> 19624 BP-LIND 19625 BP-LIND/1 BUENA PARK Active Large-System Production Well 6033483.531 2254059.483 470-1221 7/1/2021 -11.5 <Null> 4 BP-SM 107 BP-SM/1 BUENA PARK Active Large-System Production Well 6033035.282 2270048.001 308-1038 6/29/2021 60.3 <Null> 19013 CSF-1 19130 CSF-1/1/WB1/MP4 CA. STATE UNIV., FULLERTON Multiport Monitoring Well 6064343.084 2270822.497 MP4 (454) 7/6/2021 95.19 <Null> 5133 OCWD-SA10 5136 OCWD-SA10/3 DEPARTMENT OF WATER RESOURCES Monitoring Well 6039247.362 2190515.118 300-330 6/28/2021 -27.73 <Null> 75 EOCW-E 2624 EOCW-E/1 EAST ORANGE COUNTY WATER DISTRICT Active Large-System Production Well 6084070.661 2234506.703 324-450 6/9/2021 40.6 <Null> 74 EOCW-W 2623 EOCW-W/1 EAST ORANGE COUNTY WATER DISTRICT Active Large-System Production Well 6084006.305 2234482.779 315-450 6/9/2021 42.5 <Null> 1636 ANDR-A 3116 ANDR-A/1 ELTISTE, JAMIE Other Active Production Well 6089089.85 2256920.388 - 6/29/2021 266.7 <Null> 2151 FV-10 2152 FV-10/1 FOUNTAIN VALLEY Active Large-System Production Well 6050675.518 2207799.966 460-980 3/28/2021 -32.08 <Null> 2218 FV-11 2219 FV-11/1 FOUNTAIN VALLEY Active Large-System Production Well 6043548.905 2210280.198 440-950 6/28/2021 -13.22 <Null> 15548 FV-12 15549 FV-12/1 FOUNTAIN VALLEY Active Large-System Production Well 6048362.825 2212580.442 340-1070 6/28/2021 -19.8 <Null> 643 FV-6 1228 FV-6/1 FOUNTAIN VALLEY Active Large-System Production Well 6052471.003 2208423.32 370-1110 6/27/2021 -57.6 <Null> 989 FV-8 990 FV-8/1 FOUNTAIN VALLEY Active Large-System Production Well 6052244.232 2213617.679 312-844 6/23/2021 -22.77 <Null> 21043 FV-9 21044 FV-9/1 FOUNTAIN VALLEY Active Large-System Production Well 6039667.163 2210310.989 415-1070 7/3/2021 -39.2 <Null> 6999 F-10 7000 F-10/1 FULLERTON Active Large-System Production Well 6062173.417 2262322.138 460-1290 6/30/2021 78.92 <Null> 62 F-4 1066 F-4/1 FULLERTON Active Large-System Production Well 6053113.41 2256243.518 315-405 <Null> <Null> No static water level 60 F-5 1064 F-5/1 FULLERTON Active Large-System Production Well 6052548.597 2256107.709 350-400 6/30/2021 73.32 <Null> 61 F-6 1065 F-6/1 FULLERTON Active Large-System Production Well 6052747.388 2256082.222 340-401 <Null> <Null> No static water level 58 F-8 1062 F-8/1 FULLERTON Active Large-System Production Well 6052703.232 2256195.873 324-402 6/30/2021 53.02 <Null> 7 F-AIRP 111 F-AIRP/1 FULLERTON Active Large-System Production Well 6036730.867 2265796.644 435-1080 6/30/2021 -0.98 <Null> 8250 F-CHRI2 8251 F-CHRI2/1 FULLERTON Active Large-System Production Well 6043423.817 2259590.954 520-1330 6/30/2021 11 <Null> 18605 F-KIM1A 18606 F-KIM1A/1 FULLERTON Active Large-System Production Well 6059437.543 2261596.705 500-1225 <Null> <Null> No static water level 2614 F-KIM2 2615 F-KIM2/1 FULLERTON Active Large-System Production Well 6062988.653 2261590.596 320-626 6/30/2021 83.02 <Null> 14527 F-3A 14528 F-3A/1 FULLERTON Inactive Production Well 6052567.9 2256330.735 580-1280 6/30/2021 43.62 <Null> 8556 F-COYO2 8557 F-COYO2/1 FULLERTON Inactive Production Well 6040365.852 2271034.694 309-919 6/30/2021 85.12 <Null> 16 GG-16 120 GG-16/1 GARDEN GROVE Active Large-System Production Well 6018579.01 2232461.498 304-864 6/30/2021 -17.92 <Null> 24 GG-20 126 GG-20/1 GARDEN GROVE Active Large-System Production Well 6038073.339 2227032.571 360-912 7/2/2021 -3 <Null> 395 GG-22 929 GG-22/1 GARDEN GROVE Active Large-System Production Well 6026676.395 2235110.939 416-1020 6/28/2021 -8 <Null> 970 GG-25 971 GG-25/1 GARDEN GROVE Active Large-System Production Well 6047504.135 2225582.455 442-850 7/4/2021 -4 <Null> 968 GG-26 969 GG-26/1 GARDEN GROVE Active Large-System Production Well 6055989.26 2226872.674 470-1060 6/27/2021 -7.5 <Null> 899 GG-27 900 GG-27/1 GARDEN GROVE Active Large-System Production Well 6037663.073 2237687.515 520-1160 7/6/2021 -2 <Null> 21518 GG-31 21519 GG-31/1 GARDEN GROVE Active Large-System Production Well 6049303.952 2233106.343 739-1373 7/7/2021 -12 <Null> 43 GG-19 2673 GG-19/1 GARDEN GROVE Inactive Production Well 6046486.765 2237386.406 818-892 6/30/2021 12.66 <Null> 10 GG-21 113 GG-21/1 GARDEN GROVE Inactive Production Well 6053483.401 2233322.843 428-1080 6/28/2021 10 <Null> 40 GG-23 2683 GG-23/1 GARDEN GROVE Inactive Production Well 6049380.377 2233107.081 474-835 6/30/2021 21 <Null> 11910 GG-29 11911 GG-29/1 GARDEN GROVE Standby Large-System Production Well 6058221.696 2231433.99 465-1110 6/28/2021 -8 <Null> 19548 GG-30 19549 GG-30/1 GARDEN GROVE Standby Large-System Production Well 6058357.807 2234214.139 390-1146 6/28/2021 19.2 <Null> 23833 GSWC-CHF3 23834 GSWC-CHF3/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6080817.993 2228562.283 415-825 6/1/2021 2.66 <Null> 20695 GSWC-POR1 20696 GSWC-POR1/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6079506.635 2263540.675 350-895 <Null> <Null> No static water level 21249 GSWC-SCL5 21250 GSWC-SCL5/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6033365.183 2242754.29 915-1280 6/26/2021 -14 <Null> 913 SCWC-CBAL 914 SCWC-CBAL/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6020255.615 2245432.308 200-770 6/26/2021 -16.3 <Null> 905 SCWC-CSC 906 SCWC-CSC/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6019058.295 2249273.52 526-556 6/29/2021 -16 <Null> 15059 SCWC-LABL2 15060 SCWC-LABL2/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6010813.626 2245084.513 460-690 6/25/2021 -45 <Null> 909 SCWC-LAC3 910 SCWC-LAC3/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6009351.523 2240861.379 346-593 6/2/2021 -39.28 <Null> 2890 SCWC-LAFL 2891 SCWC-LAFL/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6009761.621 2241392.543 300-680 6/2/2021 -44.7 <Null> 932 SCWC-LAHO 933 SCWC-LAHO/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6013044.186 2239882.249 386-486 6/26/2021 -22.15 <Null> 938 SCWC-LAYT 939 SCWC-LAYT/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6006632.572 2231013.121 250-800 6/29/2021 -47.42 <Null> 83 SCWC-PBF4 1075 SCWC-PBF4/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6069384.796 2263342.45 275-520 5/25/2021 119 <Null> 66 SCWC-PLJ2 1070 SCWC-PLJ2/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6067609.83 2260053.948 402-492 6/25/2021 106 <Null> 15488 SCWC-PRU 15489 SCWC-PRU/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6069096.18 2266983.102 430-790 6/30/2021 98 <Null> 940 SCWC-SBCH 941 SCWC-SBCH/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6031904.764 2233300.581 200-570 <Null> <Null> Well in exclusion list 925 SCWC-SDAL 926 SCWC-SDAL/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6034900.671 2235490.72 500-542 6/28/2021 -1 <Null> 1530 SCWC-SLON 1531 SCWC-SLON/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6028180.861 2242547.915 - 6/26/2021 1 <Null> 927 SCWC-SORG 928 SCWC-SORG/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6031153.704 2237527.217 242-286 <Null> <Null> Well in exclusion list 919 SCWC-SSHR 920 SCWC-SSHR/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6036356.964 2241844.025 520-580 6/29/2021 14 <Null> 942 SCWC-SSYC 943 SCWC-SSYC/1 GOLDEN STATE WATER COMPANY Active Large-System Production Well 6033362.684 2230788.849 500-546 6/16/2021 -5 <Null> 18790 RHWC-W2 18791 RHWC-W2/1 GOLDEN STATE WATER COMPANY Inactive Production Well 6080901.573 2228585.131 474-753 6/1/2021 -4.2 <Null> 19579 SCWC-CVV2 19580 SCWC-CVV2/1 GOLDEN STATE WATER COMPANY Inactive Production Well 6021484.347 2249526.359 480-981 6/29/2021 -16 <Null> 2616 SCWC-PBF3 2617 SCWC-PBF3/1 GOLDEN STATE WATER COMPANY Inactive Production Well 6069378.014 2263398.289 220-475 5/25/2021 117 <Null> 9522 SCWC-YLCO2 9523 SCWC-YLCO2/1 GOLDEN STATE WATER COMPANY Inactive Production Well 6091725.912 2261952.552 100-480 5/25/2021 254 <Null> 1147 HOLY-A 1148 HOLY-A/1 HOLY SEPULCHER CEMETERY Other Active Production Well 6047567.386 2247438.547 334-364 6/28/2021 23.43 <Null> 1244 HB-10 1245 HB-10/1 HUNTINGTON BEACH Active Large-System Production Well 6031343.851 2212699.814 232-942 6/30/2021 -39.55 <Null> 18384 HB-13 18385 HB-13/1 HUNTINGTON BEACH Active Large-System Production Well 6021661.742 2221160.513 280-810 6/14/2021 -44.54 <Null> 23201 HB-1A 23202 HB-1A/1 HUNTINGTON BEACH Active Large-System Production Well 6023131.185 2218817.882 410-805 4/29/2021 -42.324 <Null> 10208 HB-3A 10209 HB-3A/1 HUNTINGTON BEACH Active Large-System Production Well 6031590.226 2208300.41 370-640 6/28/2021 -41.53 <Null> 27 HB-4 130 HB-4/1 HUNTINGTON BEACH Active Large-System Production Well 6021540.371 2221406.93 252-804 6/28/2021 -30.04 <Null> 1252 HB-5 1253 HB-5/1 HUNTINGTON BEACH Active Large-System Production Well 6036338.835 2208549.742 223-800 6/29/2021 -39.24 <Null> 1246 HB-6 1247 HB-6/1 HUNTINGTON BEACH Active Large-System Production Well 6029305.314 2212450.473 246-810 6/15/2021 -44.55 <Null> 1261 HB-7 1262 HB-7/1 HUNTINGTON BEACH Active Large-System Production Well 6022149.127 2221238.007 263-879 6/21/2021 -37.74 <Null> 28 HB-9 129 HB-9/1 HUNTINGTON BEACH Active Large-System Production Well 6037364.908 2208498.213 556-996 6/30/2021 -55.58 <Null> 1248 HB-8 1249 HB-8/1 HUNTINGTON BEACH Inactive Production Well 6027670.035 2209264.856 256-704 6/15/2021 -45.53 <Null> 1457 HB-MEA2 1458 HB-MEA2/1 HUNTINGTON BEACH Other Active Production Well 6020702.13 2209754.143 480-510 6/29/2021 -44.67 <Null> 1643 TAOR-A 3123 TAOR-A/1 HUYNH, TUAN Inactive Production Well 6067751.89 2255475.782 - 6/28/2021 90.52 <Null> 22 IRWD-1 124 IRWD-1/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6061580.041 2205422.106 410-860 6/23/2021 -85.8 <Null> 11476 IRWD-10 11477 IRWD-10/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6055993.429 2207529.468 419.07-939.6 <Null> <Null> No static water level 22342 IRWD-107R 22343 IRWD-107R/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6095711.53 2205898.451 275-1000 <Null> <Null> No static water level 393 IRWD-11 1224 IRWD-11/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6059766.912 2205005.285 410-870 6/23/2021 -98.3 <Null> 19366 IRWD-110 19367 IRWD-110/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6100371.561 2196315.961 555-1015 <Null> <Null> No static water level 22856 IRWD-115R 22857 IRWD-115R/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6093475.865 2207945.022 290-1080 <Null> <Null> No static water level 397 IRWD-12 991 IRWD-12/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6057023.616 2209371.259 580-1040 5/26/2021 -67.4 <Null> 1 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Principal Aquifer Wells (Model Layer 2)
STAID1 WELLNM STAID STANAME OWNERNM GIS_SYMNM NAD83_X NAD83_Y PERF_ZONE SHORTDATE WLELEV_2021 NOTES 392 IRWD-13 1227 IRWD-13/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6056862.056 2205734.981 410-980 6/30/2021 -76 <Null> 1225 IRWD-14 1226 IRWD-14/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6057193.114 2207516.401 470-970 6/30/2021 -90.2 <Null> 7082 IRWD-15 7083 IRWD-15/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6058994.6 2207797.409 470-990 4/21/2021 -62.1 <Null> 14827 IRWD-16 14828 IRWD-16/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6055756.572 2207045.785 406.03-806.73 6/30/2021 -75.3 <Null> 11478 IRWD-17 11479 IRWD-17/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6056285.662 2208810.875 504.06-959.62 4/21/2021 -52.2 <Null> 21 IRWD-18 115 IRWD-18/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6060643.784 2208050.14 390-1080 <Null> <Null> No static water level 994 IRWD-2 995 IRWD-2/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6067589.167 2204114.565 385-855 4/21/2021 -75.9 <Null> 8372 IRWD-21 8373 IRWD-21/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6083385.042 2214485.399 290-970 6/29/2021 2.41 <Null> 8370 IRWD-22 8371 IRWD-22/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6083876.226 2214049.348 300-970 <Null> <Null> No static water level 11474 IRWD-3 11475 IRWD-3/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6072630.329 2206528.469 483.53-1249.9 6/23/2021 -64.9 <Null> 672 IRWD-4 993 IRWD-4/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6065784.295 2205666.545 440-910 <Null> <Null> No static water level 15490 IRWD-5 15491 IRWD-5/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6070026.423 2205985.727 554.42-1028.47 <Null> <Null> No static water level 8558 IRWD-6 8559 IRWD-6/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6067126.622 2207312.356 499-1124 3/23/2021 -51.4 <Null> 8560 IRWD-7 8561 IRWD-7/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6057958.676 2203766.228 359-660 6/23/2021 -86.8 <Null> 19412 IRWD-76 19413 IRWD-76/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6097532.587 2201980.705 450-900 <Null> <Null> No static water level 19414 IRWD-77 19415 IRWD-77/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6095951.099 2203527.216 330-980 <Null> <Null> No static water level 18510 IRWD-C8 18511 IRWD-C8/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6062825.396 2204153.762 1080-1982 <Null> <Null> Well in exclusion list 18512 IRWD-C9 18513 IRWD-C9/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6062422.93 2205055.852 1055-1930 <Null> <Null> Well in exclusion list 8929 IRWD-51 8930 IRWD-51/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6072287.787 2201236.375 310-880 6/29/2021 -51.7 <Null> 22065 IRWD-52 22066 IRWD-52/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6073545.847 2203710.984 635-1290 6/29/2021 -62.3 <Null> 1503 IRWD-98 1504 IRWD-98/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6080266.015 2190031.269 115-343 6/29/2021 -54.42 <Null> 22710 IRWD-OPA1 22711 IRWD-OPA1/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6086291.17 2237727.918 390-750 6/28/2021 41.5 <Null> 1379 TIC-109 1380 TIC-109/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6093513 2212849.72 240-1120 6/29/2021 16.9 <Null> 1381 TIC-112 1382 TIC-112/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6092052.48 2212026.724 240-1100 6/29/2021 15.23 <Null> 1377 TIC-114 1378 TIC-114/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6094747.508 2212848.22 300-960 6/29/2021 19.88 <Null> 1941 TIC-82 1942 TIC-82/1 IRVINE RANCH WATER DISTRICT Monitoring Well 6090541.059 2199639.983 410-1002 6/29/2021 -8.83 <Null> 1343 IRWD-72 1344 IRWD-72/1 IRVINE RANCH WATER DISTRICT Other Active Production Well 6090498.014 2215406.267 254-1151 6/29/2021 9.9 <Null> 1389 TIC-106 1390 TIC-106/1 IRVINE RANCH WATER DISTRICT Other Active Production Well 6084967 2197177.989 405-715 3/23/2021 -45.1 <Null> 432 W-432 433 W-432/1 KATHY BONANNO Inactive Production Well 6080325.38 2272580.463 117-137 6/30/2021 286.97 <Null> 1176 KNOT-BPBS 1515 KNOT-BPBS/1 KNOTT'S BERRY FARM Active Small-System Production Well 6029633.814 2254234.979 430-630 6/29/2021 8.14 <Null> 12 LP-CITY 105 LP-CITY/1 LA PALMA Active Large-System Production Well 6015567.916 2254199.963 290-1415 6/29/2021 -72.67 <Null> 5 LP-WALK 108 LP-WALK/1 LA PALMA Active Large-System Production Well 6019189.082 2262316.73 489-919 6/25/2021 -25.45 <Null> 14284 MSG-BP10L 14285 MSG-BP10L/1 MCCOLL SITE GROUP Monitoring Well 6037931.453 2272258.752 247-257 6/30/2021 103.92 <Null> 1505 MVCC-COSD2 1506 MVCC-COSD2/1 MESA VERDE COUNTRY CLUB Other Active Production Well 6049566.742 2197240.664 200-450 6/30/2021 -65.825 <Null> 15780 MCWD-11 15781 MCWD-11/1 MESA WATER DISTRICT Active Large-System Production Well 6055237.67 2197733.913 330-1000 7/7/2021 -86.57 <Null> 10138 MCWD-1B 10139 MCWD-1B/1 MESA WATER DISTRICT Active Large-System Production Well 6058120.94 2200970.067 305-580 <Null> <Null> No static water level 31 MCWD-3B 2892 MCWD-3B/1 MESA WATER DISTRICT Active Large-System Production Well 6053761.218 2202557.912 242-572 <Null> <Null> Well in exclusion list 1231 MCWD-5 1232 MCWD-5/1 MESA WATER DISTRICT Active Large-System Production Well 6051212.891 2202686.998 400-940 <Null> <Null> No static water level 2135 MCWD-6 2136 MCWD-6/1 MESA WATER DISTRICT Active Large-System Production Well 6055652.152 2197722.22 310-1025 <Null> <Null> No static water level 1233 MCWD-7 1234 MCWD-7/1 MESA WATER DISTRICT Active Large-System Production Well 6053044.669 2200013.913 363-753 <Null> <Null> No static water level 23121 MESA-9B 23122 MESA-9B/1 MESA WATER DISTRICT Active Large-System Production Well 6055224.568 2200729.295 350-580 <Null> <Null> No static water level 23 MCWD-2 125 MCWD-2/1 MESA WATER DISTRICT Monitoring Well 6060220.541 2200931.5 300-650 7/7/2021 -88.14 <Null> 7747 MCWD-3BM 7748 MCWD-3BM/1 MESA WATER DISTRICT Monitoring Well 6053810.232 2202578.466 530-570 7/7/2021 -67.5 <Null> 14833 NB-DOLD 14834 NB-DOLD/1 NEWPORT BEACH Active Large-System Production Well 6041557.515 2205737.495 399-729 6/30/2021 -41.75 <Null> 14835 NB-DOLS 14836 NB-DOLS/1 NEWPORT BEACH Active Large-System Production Well 6041637.348 2205746.699 201-356 <Null> <Null> Well in exclusion list 14837 NB-TAMD 14838 NB-TAMD/1 NEWPORT BEACH Active Large-System Production Well 6037391.886 2206329.916 395-690 6/29/2021 -42.79 <Null> 14839 NB-TAMS 14840 NB-TAMS/1 NEWPORT BEACH Active Large-System Production Well 6037391.924 2206247.365 170-360 <Null> <Null> Well in exclusion list 71 O-18 2625 O-18/1 ORANGE Active Large-System Production Well 6073004.258 2233669.343 372-574 6/28/2021 44.64 <Null> 79 O-19 2618 O-19/1 ORANGE Active Large-System Production Well 6072211.218 2241094.476 444-1014 6/28/2021 105.35 <Null> 2694 O-20 2696 O-20/1 ORANGE Active Large-System Production Well 6065992.895 2234093.189 400-1130 6/28/2021 13.83 <Null> 81 O-21 1073 O-21/1 ORANGE Active Large-System Production Well 6075241.088 2245598.993 482-1252 6/28/2021 90.16 <Null> 2921 O-22 3295 O-22/1 ORANGE Active Large-System Production Well 6077271.09 2239348.179 342-802 6/28/2021 53.77 <Null> 7173 O-23 7174 O-23/1 ORANGE Active Large-System Production Well 6084469.321 2236564.181 370-640 6/28/2021 23.32 <Null> 10140 O-24 10141 O-24/1 ORANGE Active Large-System Production Well 6084080.037 2238925.34 420-800 6/28/2021 42.65 <Null> 15474 O-25 15475 O-25/1 ORANGE Active Large-System Production Well 6078385.795 2233068.736 430-885 6/28/2021 -9.78 <Null> 18435 O-26 18436 O-26/1 ORANGE Active Large-System Production Well 6061791.146 2233358.136 460-1170 6/28/2021 -2.58 <Null> 22860 O-27 22861 O-27/1 ORANGE Active Large-System Production Well 6078303.303 2233680.531 425-890 6/28/2021 -45 <Null> 47 O-8 2652 O-8/1 ORANGE Active Large-System Production Well 6069397.223 2240803.328 570-850 4/5/2021 53.07 <Null> 46 O-9 2656 O-9/1 ORANGE Active Large-System Production Well 6069440.354 2241135.949 546-888 <Null> <Null> No static water level 22370 MBI-1 22371 MBI-1/1 ORANGE COUNTY WATER DISTRICT Injection Well 6055132.435 2212498.453 530-1190 7/1/2021 -38.54 <Null> 23015 MBI-2 23016 MBI-2/1 ORANGE COUNTY WATER DISTRICT Injection Well 6056141.1 2211006.5 646-1085 6/29/2021 -55.78 <Null> 23017 MBI-3 23018 MBI-3/1 ORANGE COUNTY WATER DISTRICT Injection Well 6056123.8 2212200.9 654-1114 6/29/2021 -42.47 <Null> 23019 MBI-4 23020 MBI-4/1 ORANGE COUNTY WATER DISTRICT Injection Well 6057084.9 2212185.2 650-1089 6/29/2021 -47.65 <Null> 23021 MBI-5 23022 MBI-5/1 ORANGE COUNTY WATER DISTRICT Injection Well 6057622.7 2211477.6 609-1059 6/29/2021 -53.62 <Null> 15492 OCWD-I24 15494 OCWD-I24/2 ORANGE COUNTY WATER DISTRICT Injection Well 6046615.244 2199848.75 420-605 7/6/2021 -59.31 <Null> 18060 OCWD-I26C 18061 OCWD-I26C/1 ORANGE COUNTY WATER DISTRICT Injection Well 6048796.348 2200397.494 476-660 7/6/2021 -65.21 <Null> 19463 OCWD-I28C 19464 OCWD-I28C/1 ORANGE COUNTY WATER DISTRICT Injection Well 6036240.299 2199039.947 360-460 7/6/2021 -22.14 <Null> 19648 OCWD-I30C 19649 OCWD-I30C/1 ORANGE COUNTY WATER DISTRICT Injection Well 6034047 2200300.103 425-650 6/28/2021 -18.35 <Null> 19650 OCWD-I31C 19651 OCWD-I31C/1 ORANGE COUNTY WATER DISTRICT Injection Well 6033606.9 2201013.303 440-590 7/6/2021 -22.46 <Null> 1018 AM-1 1019 AM-1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6090472.39 2264185.952 97-115 6/30/2021 245.03 <Null> 545 AM-10 546 AM-10/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6071304.771 2257813.261 217-235 7/7/2021 121.51 <Null> 557 AM-11 558 AM-11/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6072499.755 2255656.617 218-240 6/30/2021 121.98 <Null> 555 AM-12 556 AM-12/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6070962.221 2255565.488 210-225 7/7/2021 113.56 <Null> 553 AM-13 554 AM-13/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6072701.528 2256964.39 252-270 6/30/2021 128.38 <Null> 2740 AM-14 2741 AM-14/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6065935.798 2256505.388 297-315 6/30/2021 96.56 <Null> 2742 AM-15 2743 AM-15/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062582.08 2256912.924 300-317 6/25/2021 86.54 <Null> 2746 AM-16 2747 AM-16/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6057468.185 2255986.324 300-315 7/1/2021 70.09 <Null> 2750 AM-17 2751 AM-17/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6056078.923 2256637.855 290-308 6/25/2021 67.03 <Null> 2752 AM-18 2753 AM-18/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054337.392 2256704.097 291-309 7/1/2021 60.89 <Null> 1022 AM-2 1023 AM-2/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6091404.587 2263383.522 87-100 6/30/2021 246.46 <Null> 7535 AM-20 7536 AM-20/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054209.307 2247063.369 361-379 6/25/2021 34.97 <Null> 7001 AM-22 7002 AM-22/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6059519.306 2254484.798 339-353 6/25/2021 72.1 <Null> 7003 AM-23 7004 AM-23/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062009.413 2254628.535 330-347 6/25/2021 83.21 <Null> 7005 AM-24 7006 AM-24/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6058556.647 2251960.234 335-350 6/25/2021 69.28 <Null> 7009 AM-25 7010 AM-25/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6060774.466 2252487.982 340-358 6/25/2021 74.37 <Null> 7533 AM-26 7534 AM-26/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051909.723 2244283.122 377-383 7/1/2021 29.21 <Null> 7013 AM-27 7014 AM-27/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6064651.178 2249603.126 287-305 6/25/2021 82.55 <Null> 7015 AM-29 7016 AM-29/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062902.901 2259184.123 340-358 6/30/2021 88.5 <Null> 1020 AM-3 1021 AM-3/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6090425.411 2261850.384 91-107 6/30/2021 245.62 <Null> 7541 AM-30 7542 AM-30/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6046016.856 2255914.15 349-367 6/25/2021 41.38 <Null> 8919 AM-31 8920 AM-31/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6052262.726 2257664.465 335-353 6/25/2021 57.41 <Null> 7753 AM-32 7754 AM-32/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6052527.256 2252384.43 335-353 6/25/2021 50.68 <Null> 7523 AM-33 7524 AM-33/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6055430.54 2253987.665 354-372 6/25/2021 61.86 <Null> 7527 AM-34 7528 AM-34/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6049928.243 2250310.571 317-335 6/25/2021 39.01 <Null> 7755 AM-35 7756 AM-35/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6044316.748 2249355.364 332-350 6/25/2021 28.86 <Null> 7759 AM-37 7760 AM-37/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054347.18 2250152.867 349-367 6/25/2021 46.31 <Null> 7761 AM-38 7762 AM-38/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6058042.463 2246387.411 316-334 6/25/2021 35.25 <Null> 549 AM-4 550 AM-4/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6078257.417 2258629.141 187-205 7/7/2021 166.16 <Null> 20709 AM-47 20710 AM-47/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054333.5 2258316.7 227-242 6/25/2021 64.05 <Null> 20705 AM-48 20706 AM-48/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6069379.3 2259143.9 270-300 7/8/2021 113.68 <Null> 1024 AM-5 1025 AM-5/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6078674.697 2259936.321 230-245 7/7/2021 156.58 <Null> 23213 AM-54C 23214 AM-54C/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6055965.303 2259518 280-295 6/25/2021 69.46 <Null> 23563 AM-55B 23564 AM-55B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054292.1 2256036.6 375-395 7/8/2021 59.8 <Null> 23567 AM-56B 23569 AM-56B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6053578.9 2256950.9 380-400 7/8/2021 58.82 <Null> 551 AM-6 552 AM-6/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6075037.515 2257301.421 232-250 7/7/2021 143.29 <Null> 2734 AM-7 2735 AM-7/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6071731.515 2260900.336 210-225 7/7/2021 131.58 <Null> 2 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Principal Aquifer Wells (Model Layer 2)
STAID1 WELLNM STAID STANAME OWNERNM GIS_SYMNM NAD83_X NAD83_Y PERF_ZONE SHORTDATE WLELEV_2021 NOTES 2736 AM-8 2737 AM-8/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6069027.597 2259867.528 268-285 7/7/2021 112.8 <Null> 15043 AMD-10 15045 AMD-10/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6072825.077 2260900.884 440-460 7/7/2021 135.71 <Null> 15053 AMD-11 15056 AMD-11/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6070695.395 2257252.242 600-620 6/30/2021 117.07 <Null> 19507 AMD-12 19510 AMD-12/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6071323.1 2260657.003 595-615 6/30/2021 126.14 <Null> 14585 AMD-9 14587 AMD-9/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6075825.081 2261784.701 450-470 7/7/2021 151.35 <Null> 7017 FM-1 7018 FM-1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6053154.441 2258736.246 348-356 6/25/2021 60.62 <Null> 18331 FM-10 18332 FM-10/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6057584.791 2262009.679 215-235 6/29/2021 79.5 <Null> 18335 FM-11 18336 FM-11/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054079.466 2261009.777 236-256 6/30/2021 69.03 <Null> 18339 FM-12 18340 FM-12/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6058076.487 2263025.088 206-226 6/29/2021 82.04 <Null> 18343 FM-13 18344 FM-13/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6064730.854 2262602.368 210-230 6/30/2021 93.15 <Null> 18347 FM-14 18348 FM-14/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6064606.249 2263073.772 234-254 7/1/2021 93.13 <Null> 18351 FM-15 18352 FM-15/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054099.553 2262606.493 218-238 6/29/2021 73.72 <Null> 18412 FM-16 18413 FM-16/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6063630.746 2262324.068 248-268 6/30/2021 88.76 <Null> 19626 FM-17 19627 FM-17/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6061492.436 2262019.765 250-270 6/30/2021 84.02 <Null> 19612 FM-18 19613 FM-18/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6049362.557 2263643.539 224-244 6/29/2021 62.44 <Null> 19622 FM-19C 19623 FM-19C/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051551.893 2262403.786 365-385 6/29/2021 57.84 <Null> 23462 FM-19D 23463 FM-19D/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051660.8 2262458.6 435-455 6/29/2021 59.85 <Null> 7021 FM-2 7022 FM-2/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6058816.966 2258623.398 320-338 6/25/2021 76.61 <Null> 20762 FM-20 20763 FM-20/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6053785.7 2263886.1 221-241 6/29/2021 72.51 <Null> 20766 FM-21 20767 FM-21/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6047750.6 2262684.3 260-270 6/29/2021 58.02 <Null> 20751 FM-22 20752 FM-22/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051135 2260372.1 242-262 7/8/2021 60.23 <Null> 23217 FM-22B 23218 FM-22B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051128.1 2260379.8 326-346 6/25/2021 56.32 <Null> 20882 FM-23 20883 FM-23/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054166.9 2260625 234-249 6/29/2021 69.17 <Null> 20699 FM-24 20700 FM-24/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051441.4 2258786 271-291 6/25/2021 57 <Null> 23219 FM-24B 23220 FM-24B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051418.9 2258788.7 338-358 6/25/2021 55.89 <Null> 23225 FM-29C 23226 FM-29C/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6049003.993 2262397.371 340-360 6/29/2021 49.19 <Null> 7025 FM-3 7026 FM-3/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6061451.851 2259514.599 257-263 6/30/2021 84.27 <Null> 23573 FM-30B 23574 FM-30B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6061056.8 2263552.8 370-390 6/29/2021 83.12 <Null> 23229 FM-31B 23230 FM-31B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054065.947 2261842.665 230-250 6/29/2021 70.23 <Null> 23449 FM-32B 23452 FM-32B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6045316.1 2263964.1 220-230 6/29/2021 56.28 <Null> 23577 FM-34B 23578 FM-34B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6057207.6 2265354.1 377-397 7/8/2021 66.54 <Null> 23898 FM-35C 23899 FM-35C/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062992.887 2262505.466 460.5-480.5 7/6/2021 85.12 <Null> 7519 FM-4 7520 FM-4/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6048406.619 2258792.993 327-345 6/25/2021 49.86 <Null> 9947 FM-6 9948 FM-6/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6053264.065 2274113.568 150-310 6/30/2021 175.2 <Null> 23215 FM-7B 23216 FM-7B/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6054304.1 2259270.6 329.5-344.5 6/25/2021 64.28 <Null> 18327 FM-9 18328 FM-9/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6063377.138 2262960.474 220-240 6/30/2021 88.97 <Null> 19009 IDM-3 19012 IDM-3/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6099726.882 2201438.084 652-672 6/28/2021 8.37 <Null> 19404 IDM-4 19407 IDM-4/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6103585.541 2200230.218 654-674 6/28/2021 51.87 <Null> 19478 IDP-2R 19480 IDP-2R/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6106015.21 2193086.752 300-340 6/28/2021 108.257 <Null> 721 KBS-1 998 KBS-1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6074374.124 2260345.831 209-219 7/1/2021 154.21 <Null> 1285 MCAS-10 1286 MCAS-10/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6096082.894 2198174.236 347-377 6/28/2021 9.88 <Null> 1360 MCAS-4 1361 MCAS-4/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6098189.884 2189446.916 181-238 6/28/2021 95.46 <Null> 10217 MCAS-5A 10218 MCAS-5A/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6101340.027 2187474.726 120-130 6/28/2021 118.26 <Null> 1355 MCAS-8 1356 MCAS-8/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6088737.288 2194284.922 392-410 6/28/2021 -63.35 <Null> 1287 MCAS-9 1288 MCAS-9/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6092651.761 2198312.255 372-445 6/28/2021 2.18 <Null> 23057 OCWD-34Y01 23061 OCWD-34Y01/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6001790.9 2226024.1 400-420 7/6/2021 -43.1 <Null> 11700 OCWD-36FP1Z 11701 OCWD-36FP1Z/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6001815.979 2221372.331 504-514 7/1/2021 -42.84 <Null> 2859 OCWD-AIR1 2861 OCWD-AIR1/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6037614.933 2265072.135 410-510 6/29/2021 -7.44 <Null> 22323 OCWD-BS10 22329 OCWD-BS10/6 ORANGE COUNTY WATER DISTRICT Monitoring Well 6013179.752 2219396.307 595-605 7/1/2021 -46.87 <Null> 22330 OCWD-BS11 22336 OCWD-BS11/6 ORANGE COUNTY WATER DISTRICT Monitoring Well 6008506.1 2221300 580-590 7/1/2021 -47.03 <Null> 22774 OCWD-BS12 22973 OCWD-BS12/6 ORANGE COUNTY WATER DISTRICT Monitoring Well 6015660.3 2214181.8 585-605 7/1/2021 -49.9 <Null> 23692 OCWD-BS13F 23693 OCWD-BS13F/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6009690 2214241.6 575-595 7/1/2021 -44.86 <Null> 22776 OCWD-BS14 22916 OCWD-BS14/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6003965.9 2221842.9 490-510 7/1/2021 -43.9 <Null> 23550 OCWD-BS24F 23554 OCWD-BS24F/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6005185.3 2219560 500-520 7/1/2021 -41.91 <Null> 2867 OCWD-CTG1 2869 OCWD-CTG1/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6061970.346 2206073.478 420-720 6/30/2021 -85.71 <Null> 2872 OCWD-CTG5 2873 OCWD-CTG5/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062530.714 2206394.591 420-620 8/4/2021 -81.04 <Null> 2876 OCWD-CTK1 2878 OCWD-CTK1/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062486.259 2205158.852 780-1015 6/30/2021 -81.99 <Null> 3307 OCWD-FC1 3308 OCWD-FC1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6072297.077 2252615.883 165-185 7/7/2021 104.96 <Null> 3305 OCWD-FH1 3306 OCWD-FH1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6081695.772 2257027.264 120-140 7/7/2021 213.83 <Null> 3303 OCWD-LV1 3304 OCWD-LV1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6085675.722 2259327.385 135-155 7/7/2021 237.5 <Null> 15127 OCWD-M38 15131 OCWD-M38/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6030736.262 2198146.213 336-346 6/30/2021 -27.7 <Null> 16021 OCWD-M39 16026 OCWD-M39/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6048139.112 2190636.716 250-270 6/28/2021 -16.46 <Null> 16654 OCWD-M40 16658 OCWD-M40/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6051222.286 2195005.215 330-520 6/28/2021 -81.04 <Null> 18425 OCWD-M41 18430 OCWD-M41/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6031312.152 2196141.497 370-390 6/30/2021 -27.74 <Null> 18418 OCWD-M42 18423 OCWD-M42/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6030956.495 2201880.558 500-520 6/24/2021 -30.94 <Null> 23769 OCWD-M43R 23774 OCWD-M43R/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6056258.4 2193225.9 530-550 6/28/2021 -82.54 <Null> 20371 OCWD-M44 20376 OCWD-M44/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6048200.8 2193011.3 295-305 6/28/2021 -58.37 <Null> 19640 OCWD-M45 19645 OCWD-M45/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6040339.8 2203350.603 780-790 6/30/2021 -56.92 <Null> 19482 OCWD-M46 19487 OCWD-M46/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6049299 2201186.803 890-910 6/28/2021 -61.24 <Null> 19634 OCWD-M47 19639 OCWD-M47/5 ORANGE COUNTY WATER DISTRICT Monitoring Well 6049915.7 2202379.503 940-960 6/28/2021 -61.7 <Null> 18766 OCWD-M48 18768 OCWD-M48/2 ORANGE COUNTY WATER DISTRICT Monitoring Well 6059972.844 2188953.882 175-195 6/28/2021 -73.7 <Null> 22842 OCWD-M52C 22843 OCWD-M52C/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6067045.9 2192841.2 210-230 6/24/2021 -69.15 <Null> 22786 OCWD-MRSH 22854 OCWD-MRSH/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6074220 2188672.3 199-219 6/29/2021 -28.15 <Null> 22659 OCWD-SA22R 22663 OCWD-SA22R/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6036740.5 2194795.1 310-330 6/30/2021 -28.24 <Null> 3978 OCWD-T2 3981 OCWD-T2/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6035679.306 2192640.337 300-360 6/24/2021 -27.11 <Null> 315 OCWD-W1 316 OCWD-W1/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6081387.171 2258988.611 - 7/7/2021 174.34 <Null> 22347 SAR-10 22351 SAR-10/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6055179.3 2212421.7 1100-1115 7/1/2021 -51.98 <Null> 22061 SAR-11 22064 SAR-11/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6055349.4 2211898 1100-1110 7/1/2021 -54.34 <Null> 23010 SAR-12 23014 SAR-12/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6056736.8 2210170.5 1045-1055 6/30/2021 -67.896 <Null> 23203 SAR-13 23207 SAR-13/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6057504.8 2210763.1 1045-1055 6/30/2021 -63.83 <Null> 1851 TIC-67 1852 TIC-67/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6100937.109 2211418.256 245-900 6/29/2021 73.58 <Null> 997 ABS-1 22665 ABS-1/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6076226.851 2262977.612 MP3 (257) 7/7/2021 158.375 <Null> 547 AMD-1 21137 AMD-1/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6073916.932 2258572.091 MP5 (331) 6/21/2021 143.45 <Null> 565 AMD-2 22205 AMD-2/1/WB2/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066705.21 2254540.618 MP4 (512) 6/29/2021 99.11 <Null> 7031 AMD-4 7104 AMD-4/1/WB1/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6050716.117 2255097.562 MP4 (561) 6/28/2021 43.82 <Null> 7295 AMD-5 7320 AMD-5/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6060070.244 2248962.576 MP7 (754) 6/28/2021 69.39 <Null> 7293 AMD-6 7482 AMD-6/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6057374.729 2241092.645 MP7 (622) 6/28/2021 15.03 <Null> 8596 AMD-7 8754 AMD-7/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6049188.026 2247218.215 MP7 (580) 6/28/2021 15.36 <Null> 9682 AMD-8 9906 AMD-8/1/WB1/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6033488.697 2249624.328 MP5 (662) 7/12/2021 -8.705 <Null> 9831 BPM-1 9985 BPM-1/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6022348.508 2259541.566 MP6 (890) 7/12/2021 -42.1 <Null> 9832 BPM-2 10178 BPM-2/1/WB1/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6025195.413 2246739.597 MP5 (778) 7/12/2021 -11.49 <Null> 685 CB-1 8788 CB-1/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6044695.232 2253837.186 MP3 (443) 7/6/2021 30.09 <Null> 5155 COSM-1 7147 COSM-1/1/WB1/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6055253.401 2197825.036 MP5 (451) 6/30/2021 -87.65 <Null> 18846 COSM-2 18866 COSM-2/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6052266.414 2199776.431 MP8 (763) 6/30/2021 -80.87 <Null> 719 FFS-1 14243 FFS-1/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6061436.461 2262022.62 MP3 (530) 7/6/2021 81.44 <Null> 1291 FVM-1 15692 FVM-1/1/WB2/MP9 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6047178.815 2210990.613 MP9 (814) 6/22/2021 -47.21 <Null> 7297 GGM-1 10028 GGM-1/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6045688.299 2230864.24 MP8 (1074) 7/8/2021 -22.44 <Null> 8923 GGM-2 9049 GGM-2/1/WB1/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6026525.607 2230233.156 MP5 (954) 6/22/2021 -30.46 <Null> 8592 GGM-3 8666 GGM-3/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6037298.069 2237458.988 MP6 (1007) 7/8/2021 -17.34 <Null> 7178 HBM-1 8439 HBM-1/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6031700.722 2216385.252 MP7 (924) 7/2/2021 -43.89 <Null> 7086 HBM-2 7223 HBM-2/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6036228.737 2196532.383 MP6 (447) 7/2/2021 -25.01 <Null> 9200 HBM-4 9225 HBM-4/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6034095.825 2197123.319 MP8 (551) 7/2/2021 -20.86 <Null> 9688 HBM-5 9879 HBM-5/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6045744.869 2193971.856 MP8 (273) 7/2/2021 -52.65 <Null> 15088 HBM-6 15245 HBM-6/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6025106.578 2204548.969 MP7 (508) 7/2/2021 -37.1 <Null> 720 IDM-1 18979 IDM-1/1/WB2/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6099572.243 2207081.537 MP4 (436) 7/7/2021 28.49 <Null> 9830 IDM-2 10064 IDM-2/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6080705.598 2209836.046 MP6 (613) 7/7/2021 -71.94 <Null> 3 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Principal Aquifer Wells (Model Layer 2)
STAID1 WELLNM STAID STANAME OWNERNM GIS_SYMNM NAD83_X NAD83_Y PERF_ZONE SHORTDATE WLELEV_2021 NOTES 541 KBS-2 10226 KBS-2/1/WB1/MP2 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6073053.762 2260992.439 MP2 (214) 6/21/2021 144.53 <Null> 11949 LAM-1 12028 LAM-1/1/WB1/MP9 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6009581.587 2238043.705 MP9 (1153) 6/15/2021 -56.23 <Null> 1345 MCAS-1 5853 MCAS-1/1/WB2/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6098255.481 2192973.357 MP6 (455) 7/6/2021 36.17 <Null> 759 MCAS-2 5935 MCAS-2/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6100360.442 2191167.958 MP5 (425) 7/6/2021 62.46 <Null> 1339 MCAS-3 5891 MCAS-3/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6104434.428 2191276.758 MP5 (426) 7/6/2021 89.45 <Null> 758 MCAS-7 11829 MCAS-7/1/WB3/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6093900.827 2194418.586 MP4 (442) 7/7/2021 -23.9 <Null> 756 SAR-1 9261 SAR-1/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6070684.206 2250425.314 MP5 (519) 6/29/2021 88.12 <Null> 761 SAR-2 11989 SAR-2/1/WB2/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6069096.008 2245410.807 MP6 (741) 6/29/2021 71.42 <Null> 762 SAR-3 9466 SAR-3/1/WB2/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066892.02 2238409.284 MP6 (774) 6/24/2021 54.27 <Null> 763 SAR-4 14633 SAR-4/1/WB2/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6065370.966 2233375.154 MP6 (868) 6/29/2021 31.58 <Null> 1289 SAR-5 21220 SAR-5/1/WB3/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6062597.607 2227874.211 MP5 (766) 6/30/2021 -16.37 <Null> 561 SAR-6 10113 SAR-6/1/WB2/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6073313.538 2254365.369 MP4 (581) 6/21/2021 142.26 <Null> 996 SAR-7 20000 SAR-7/1/WB2/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6078049.17 2256383.048 MP4 (440) 6/21/2021 192.2 <Null> 7181 SAR-9 9802 SAR-9/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6058380.802 2221450.982 MP7 (877) 6/30/2021 -40.723 <Null> 9686 SBM-1 9729 SBM-1/1/WB1/MP7 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6016566.11 2224523.54 MP7 (916) 6/15/2021 -47.295 <Null> 1000 SC-1 21654 SC-1/1/WB2/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6089555.444 2242038.806 MP4 (197) 7/1/2021 213.44 <Null> 1001 SC-2 18747 SC-2/1/WB2/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6086489.295 2237887.557 MP6 (303) 7/1/2021 112.45 <Null> 1005 SC-3 8839 SC-3/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6081074.85 2229940.413 MP3 (577) 7/1/2021 29.49 <Null> 2888 SC-4 6296 SC-4/1/WB1/MP4 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6082605.785 2235080.546 MP4 (393) 7/1/2021 46.59 <Null> 2854 SC-5 6331 SC-5/1/WB1/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6077454.866 2225543.458 MP5 (670) 7/1/2021 4.73 <Null> 9684 SC-6 9758 SC-6/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066813.288 2216032.113 MP6 (964) 7/7/2021 -60.78 <Null> 1016 SCS-1 8867 SCS-1/1/WB1/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6088950.708 2237855.374 MP6 (298) 7/1/2021 89.68 <Null> 1014 SCS-2 22653 SCS-2/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6088207.123 2239962.183 MP5 (329) 7/1/2021 72.99 <Null> 1011 WBS-4 19983 WBS-4/1/WB2/MP3 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6080099.39 2256910.089 MP3 (212) 6/21/2021 206.6 <Null> 1293 WMM-1 19884 WMM-1/1/WB2/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6038251.554 2221751.195 MP8 (985) 7/8/2021 -24.03 <Null> 1423 OCWD-D1 1424 OCWD-D1/1 ORANGE COUNTY WATER DISTRICT Other Active Production Well 6046612.36 2200327.641 780-880 6/23/2021 -60.642 <Null> 1412 OCWD-D3 1413 OCWD-D3/1 ORANGE COUNTY WATER DISTRICT Other Active Production Well 6046034.602 2201849.851 560-1000 6/23/2021 -58.66 <Null> 3797 OCWD-D4 3798 OCWD-D4/1 ORANGE COUNTY WATER DISTRICT Other Active Production Well 6047147.793 2201759.429 531-979 6/23/2021 -61.08 <Null> 1798 NVLW-SB3 3275 NVLW-SB3/1 PURSCHE, ROY Other Active Production Well 6011353.936 2219409.749 - 6/29/2021 -51.1 <Null> 1126 NOBL-O 1127 NOBL-O/1 R.J. NOBLE COMPANY Other Active Production Well 6072535.517 2251285.626 290-474 6/29/2021 91.85 <Null> 22874 RAY-MW06 22875 RAY-MW06/1 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6042228.1 2268828.8 149.6-189.6 6/30/2021 33.58 <Null> 22408 RAY-MW32 22410 RAY-MW32/2 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6039287.583 2267257.657 969-999 6/30/2021 17.47 <Null> 22416 RAY-MW34B 22417 RAY-MW34B/1 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6039046.07 2268346.15 486-536 6/30/2021 18.29 <Null> 22420 RAY-MW35 22423 RAY-MW35/3 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6039878.34 2265861.26 990-1040 6/30/2021 12.69 <Null> 22757 RAY-MW39 22758 RAY-MW39/1 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6034604.76 2267260.25 982-1012 6/30/2021 14.6 <Null> 22759 RAY-MW40 22760 RAY-MW40/1 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6042465.71 2267070.62 930-970 6/30/2021 20.33 <Null> 975 SA-16 976 SA-16/1 SANTA ANA Active Large-System Production Well 6066775.852 2220474.597 305-950 <Null> <Null> Well in exclusion list 964 SA-18 965 SA-18/1 SANTA ANA Active Large-System Production Well 6065423.295 2227343.923 245-623 6/30/2021 6.21 <Null> 983 SA-20 984 SA-20/1 SANTA ANA Active Large-System Production Well 6051943.524 2218208.729 390-940 6/29/2021 -18.5 <Null> 981 SA-21 982 SA-21/1 SANTA ANA Active Large-System Production Well 6051992.474 2218775.287 400-960 6/29/2021 -17.7 <Null> 966 SA-24 967 SA-24/1 SANTA ANA Active Large-System Production Well 6062495.013 2226820.521 352-654 6/30/2021 -4.27 <Null> 19 SA-29 117 SA-29/1 SANTA ANA Active Large-System Production Well 6067350.619 2218664.363 450-1050 7/1/2021 -48.19 <Null> 985 SA-30 986 SA-30/1 SANTA ANA Active Large-System Production Well 6051988.27 2217594.374 440-900 6/29/2021 -22.8 <Null> 979 SA-33 980 SA-33/1 SANTA ANA Active Large-System Production Well 6067018.394 2218472.227 425-935 7/1/2021 -47.2 <Null> 3322 SA-34 3323 SA-34/1 SANTA ANA Active Large-System Production Well 6062544.736 2203955.867 370-520 7/2/2021 -83 <Null> 8823 SA-35 8824 SA-35/1 SANTA ANA Active Large-System Production Well 6058367.7 2224408.129 429.2-1480 5/24/2021 -29 <Null> 1993 SA-36 1994 SA-36/1 SANTA ANA Active Large-System Production Well 6064973.942 2227415.821 570-1290 6/30/2021 -21.75 <Null> 8825 SA-37 8826 SA-37/1 SANTA ANA Active Large-System Production Well 6061211.41 2214947.524 348-1480 5/24/2021 -48 <Null> 18391 SA-39 18393 SA-39/1 SANTA ANA Active Large-System Production Well 6064925.485 2227035.79 590-1290 6/30/2021 -26.3 <Null> 19552 SA-41 19553 SA-41/1 SANTA ANA Active Large-System Production Well 6067142.505 2220423.372 525-978 5/25/2021 -40.58 <Null> 956 SA-26 957 SA-26/1 SANTA ANA Standby Large-System Production Well 6073873.971 2210851.779 330-1140 7/2/2021 -58.82 <Null> 532 SA-27 533 SA-27/1 SANTA ANA Standby Large-System Production Well 6072868.882 2229547.215 396-1140 6/30/2021 -6.9 <Null> 70 SA-28 2629 SA-28/1 SANTA ANA Standby Large-System Production Well 6073394.893 2229877.64 250-980 6/30/2021 11.5 <Null> 18 SA-31 118 SA-31/1 SANTA ANA Standby Large-System Production Well 6078121.42 2217676.874 465-1240 6/22/2021 -11.32 <Null> 8817 SA-38 8818 SA-38/1 SANTA ANA Standby Large-System Production Well 6077082.488 2229427.758 400-1270 6/30/2021 27 <Null> 19550 SA-40 19551 SA-40/1 SANTA ANA Standby Large-System Production Well 6077600.85 2221373.519 550-1305 6/30/2021 -50.75 <Null> 1513 SACC-SA 1514 SACC-SA/1 SANTA ANA COUNTRY CLUB Other Active Production Well 6062143.936 2190413.821 205-406 6/30/2021 -80.85 <Null> 26 SB-BC 123 SB-BC/1 SEAL BEACH Active Large-System Production Well 6016910.323 2228579.652 370-1020 6/29/2021 -62 <Null> 1282 SB-BEV 1283 SB-BEV/1 SEAL BEACH Active Large-System Production Well 6006691.531 2229990.738 400-800 5/26/2021 -58.14 <Null> 21089 SB-LAM 21090 SB-LAM/1 SEAL BEACH Active Large-System Production Well 6012636.62 2232616.404 360-1170 6/29/2021 -50 <Null> 78 SID-3 2619 SID-3/1 SERRANO WATER DISTRICT Active Large-System Production Well 6085523.367 2241664.186 296-584 6/30/2021 49 <Null> 7036 SID-4 7037 SID-4/1 SERRANO WATER DISTRICT Active Large-System Production Well 6088277.371 2242027.33 290-520 <Null> <Null> No static water level 15486 SWD-5 15487 SWD-5/1 SERRANO WATER DISTRICT Active Large-System Production Well 6085860.482 2241857.866 310-720 6/30/2021 53 <Null> 3801 W-3801 3802 W-3801/1 STATE OF CALIFORNIA Inactive Production Well 6061820.651 2190918.886 254-407 6/30/2021 -80.36 <Null> 1927 TIC-194 1931 TIC-194/1 THE IRVINE COMPANY Monitoring Well 6085062.044 2200644.721 562-726 6/29/2021 -62.48 <Null> 3524 TIC-25 3525 TIC-25/1 THE IRVINE COMPANY Monitoring Well 6082128.447 2194002.252 666-760 6/29/2021 -62.21 <Null> 1829 TIC-50 1830 TIC-50/1 THE IRVINE COMPANY Monitoring Well 6089719.969 2212322.221 475-1070 6/29/2021 19.34 <Null> 1331 TIC-99 1332 TIC-99/1 THE IRVINE COMPANY Monitoring Well 6094081.516 2213753.527 346-650 6/29/2021 10.69 <Null> 18770 T-17S4 18771 T-17S4/1 TUSTIN Active Large-System Production Well 6087962.147 2223505.698 200-480 7/1/2021 22 <Null> 950 T-COLU 951 T-COLU/1 TUSTIN Active Large-System Production Well 6083806.737 2220457.042 560-1160 6/30/2021 -16 <Null> 22699 T-ED 22700 T-ED/1 TUSTIN Active Large-System Production Well 6079918.435 2211393.25 500-840 7/1/2021 -58 <Null> 954 T-MS3 955 T-MS3/1 TUSTIN Active Large-System Production Well 6083758.623 2217438.721 300-630 6/30/2021 32 <Null> 15470 T-MS4 15471 T-MS4/1 TUSTIN Active Large-System Production Well 6084025.072 2217344.269 330-880 6/30/2021 9 <Null> 1370 T-NEWP 1371 T-NEWP/1 TUSTIN Active Large-System Production Well 6087882.616 2220782.263 234-267 7/1/2021 31 <Null> 20304 T-PAS 20305 T-PAS/1 TUSTIN Active Large-System Production Well 6080513.128 2217850.37 440-1225 6/30/2021 -11 <Null> 9204 T-VNBG 9205 T-VNBG/1 TUSTIN Active Large-System Production Well 6083087.233 2223256.938 480-900 <Null> <Null> No static water level 958 T-WALN 959 T-WALN/1 TUSTIN Active Large-System Production Well 6084028.458 2212002.398 397-995 7/2/2021 -40 <Null> 948 T-LIVI 949 T-LIVI/1 TUSTIN Inactive Production Well 6085117.397 2221039.77 300-617 6/30/2021 21 <Null> 960 T-PANK 961 T-PANK/1 TUSTIN Inactive Production Well 6087674.762 2213340.094 323-614 6/30/2021 10.88 <Null> 946 T-TUST 947 T-TUST/1 TUSTIN Inactive Production Well 6079841.655 2224465.712 306-776 5/10/2021 0 <Null> 33 T-YORB 2898 T-YORB/1 TUSTIN Inactive Production Well 6082254.093 2227714.437 385-850 6/30/2021 12 <Null> 2139 COS-PLAZ 3551 COS-PLAZ/1 UNKNOWN Monitoring Well 6062779.265 2200089.756 - 6/30/2021 -82.38 <Null> 21187 WRD-SEALBEACH-1 21191 WRD-SEALBEACH-1/4 WATER REPLENISHMENT DISTRICT Monitoring Well 6002807.228 2229796.158 775-795 6/7/2021 -61.51 <Null> 20132 WM-107A 20133 WM-107A/1 WESTMINSTER Active Large-System Production Well 6036756.169 2221201.688 350-980 6/23/2021 -3.71 <Null> 18462 WM-11 18463 WM-11/1 WESTMINSTER Active Large-System Production Well 6030376.492 2221521.749 325-790 6/28/2021 -16 <Null> 15462 WM-125 15463 WM-125/1 WESTMINSTER Active Large-System Production Well 6019490.522 2226357.926 374-860 6/29/2021 -35 <Null> 1250 WM-3 1251 WM-3/1 WESTMINSTER Active Large-System Production Well 6035334.153 2212273.162 285-365 <Null> <Null> Well in exclusion list 987 WM-4 988 WM-4/1 WESTMINSTER Active Large-System Production Well 6041811.441 2216473.787 345-1125 6/30/2021 -10 <Null> 973 WM-6 974 WM-6/1 WESTMINSTER Active Large-System Production Well 6040452.837 2221186.654 176-660 <Null> <Null> Well in exclusion list 19581 WM-75A 19582 WM-75A/1 WESTMINSTER Active Large-System Production Well 6027529.048 2227543.038 410-996 7/1/2021 -18.75 <Null> 2351 WM-RES1 2352 WM-RES1/1 WESTMINSTER Active Large-System Production Well 6034195.466 2226587.136 390-880 6/29/2021 -13.33 <Null> 25 WM-RES2 127 WM-RES2/1 WESTMINSTER Active Large-System Production Well 6022510.924 2225649.817 340-937 6/28/2021 -36 <Null> 1549 WM-SC4 1550 WM-SC4/1 WESTMINSTER Active Large-System Production Well 6024891.234 2228376.544 425-454 6/28/2021 -13 <Null> 1501 WOOD-INLK 1502 WOOD-INLK/1 WOODBRIDGE VILL HOMEOWNER ASSN Inactive Production Well 6090903.001 2195025.511 370-890 6/28/2021 -33.24 <Null> 2602 YLWD-1 2603 YLWD-1/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6083180.423 2261475.297 90-340 6/24/2021 201.25 <Null> 2600 YLWD-10 2601 YLWD-10/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082573.916 2261063.226 90-406 6/24/2021 199.95 <Null> 2598 YLWD-12 2599 YLWD-12/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082579.233 2261460.266 80-498 6/24/2021 194.75 <Null> 18764 YLWD-18 18765 YLWD-18/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082572.851 2261290.355 250-570 6/24/2021 202 <Null> 19554 YLWD-19 19555 YLWD-19/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082841.553 2261300.166 280-581 6/24/2021 200.7 <Null> 21243 YLWD-20 21244 YLWD-20/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6083164.301 2258232.562 225-570 6/24/2021 227.32 <Null> 22794 YLWD-21 22795 YLWD-21/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082500.179 2259535.434 210-510 6/24/2021 211.25 <Null> 2592 YLWD-5 2593 YLWD-5/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6083146.35 2261304.493 90-340 6/24/2021 200.5 <Null> 2596 YLWD-7 2597 YLWD-7/1 YORBA LINDA WATER DISTRICT Standby Large-System Production Well 6082874.48 2261508.045 137-259 6/24/2021 197.25 <Null> 4 of 4
Wells Used to Develop 2021 Groundwater Contour Maps in Orange County Groundwater Basin Deep Aquifer Wells (Model Layer 3)
STAID1 WELLNM STAID STANAME OWNERNM GIS_SYMNM NAD83_X NAD83_Y PERF_ZONE SHORTDATE WLELEV NAD83_X NAD83_Y 19013 CSF-1 19132 CSF-1/1/WB1/MP6 CA. STATE UNIV., FULLERTON Multiport Monitoring Well 6064343.084 2270822.497 MP6 (718) 7/6/2021 108.52 6064343.084 2270822.497 8556 F-COYO2 8557 F-COYO2/1 FULLERTON Inactive Production Well 6040365.852 2271034.694 309-919 6/30/2021 85.12 6040365.852 2271034.694 1387 SNDR-SA 1388 SNDR-SA/1 I & G 4 HUTTON LLC-ASSOC. Other Active Production Well 6070727.949 2200897.503 930-990 6/30/2021 -71.45 6070727.949 2200897.503 19366 IRWD-110 19367 IRWD-110/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6100371.561 2196315.961 555-1015 <Null> <Null> 6100371.561 2196315.961 11474 IRWD-3 11475 IRWD-3/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6072630.329 2206528.469 483.53-1249.9 6/23/2021 -64.9 6072630.329 2206528.469 18510 IRWD-C8 18511 IRWD-C8/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6062825.396 2204153.762 1080-1982 <Null> <Null> 6062825.396 2204153.762 18512 IRWD-C9 18513 IRWD-C9/1 IRVINE RANCH WATER DISTRICT Active Large-System Production Well 6062422.93 2205055.852 1055-1930 <Null> <Null> 6062422.93 2205055.852 22065 IRWD-52 22066 IRWD-52/1 IRVINE RANCH WATER DISTRICT Inactive Production Well 6073545.847 2203710.984 635-1290 6/29/2021 -62.3 6073545.847 2203710.984 1941 TIC-82 1942 TIC-82/1 IRVINE RANCH WATER DISTRICT Monitoring Well 6090541.059 2199639.983 410-1002 6/29/2021 -8.83 6090541.059 2199639.983 1391 ET-2 1392 ET-2/1 IRVINE RANCH WATER DISTRICT Other Active Production Well 6090684.562 2199800.983 280-1080 <Null> <Null> 6090684.562 2199800.983 1389 TIC-106 1390 TIC-106/1 IRVINE RANCH WATER DISTRICT Other Active Production Well 6084967 2197177.989 405-715 <Null> <Null> 6084967 2197177.989 15780 MCWD-11 15781 MCWD-11/1 MESA WATER DISTRICT Active Large-System Production Well 6055237.67 2197733.913 330-1000 7/7/2021 -86.57 6055237.67 2197733.913 2135 MCWD-6 2136 MCWD-6/1 MESA WATER DISTRICT Active Large-System Production Well 6055652.152 2197722.22 310-1025 <Null> <Null> 6055652.152 2197722.22 1357 MCAS-6 1358 MCAS-6/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6094225.41 2191657.016 167-222 6/28/2021 76.17 6094225.41 2191657.016 2867 OCWD-CTG1 2871 OCWD-CTG1/4 ORANGE COUNTY WATER DISTRICT Monitoring Well 6061970.346 2206073.478 1060-1220 6/30/2021 -81.88 6061970.346 2206073.478 2872 OCWD-CTG5 2875 OCWD-CTG5/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062530.714 2206394.591 1040-1120 8/4/2021 -87.56 6062530.714 2206394.591 2876 OCWD-CTK1 2879 OCWD-CTK1/3 ORANGE COUNTY WATER DISTRICT Monitoring Well 6062486.259 2205158.852 1260-1315 6/30/2021 -83.03 6062486.259 2205158.852 22786 OCWD-MRSH 22854 OCWD-MRSH/1 ORANGE COUNTY WATER DISTRICT Monitoring Well 6074220 2188672.3 199-219 6/29/2021 -28.15 6074220 2188672.3 547 AMD-1 21142 AMD-1/1/WB2/MP10 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6073916.932 2258572.091 MP10 (1394) 6/21/2021 139.96 6073916.932 2258572.091 565 AMD-2 22211 AMD-2/1/WB2/MP10 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066705.21 2254540.618 MP10 (1444) 6/29/2021 104.23 6066705.21 2254540.618 7031 AMD-4 7111 AMD-4/1/WB1/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6050716.117 2255097.562 MP11 (1409) 6/28/2021 60.28 6050716.117 2255097.562 7295 AMD-5 7324 AMD-5/1/WB1/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6060070.244 2248962.576 MP11 (1324) 6/28/2021 82.65 6060070.244 2248962.576 8596 AMD-7 8761 AMD-7/1/WB1/MP14 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6049188.026 2247218.215 MP14 (1424) 6/28/2021 30.68 6049188.026 2247218.215 9682 AMD-8 9916 AMD-8/1/WB1/MP15 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6033488.697 2249624.328 MP15 (2014) 7/12/2021 -13.155 6033488.697 2249624.328 9831 BPM-1 9993 BPM-1/1/WB1/MP14 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6022348.508 2259541.566 MP14 (2109) 7/12/2021 -25.24 6022348.508 2259541.566 9832 BPM-2 10188 BPM-2/1/WB1/MP15 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6025195.413 2246739.597 MP15 (2173) 7/12/2021 -23.16 6025195.413 2246739.597 685 CB-1 8794 CB-1/1/WB2/MP9 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6044695.232 2253837.186 MP9 (1463) 7/6/2021 29.14 6044695.232 2253837.186 5155 COSM-1 7156 COSM-1/1/WB1/MP14 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6055253.401 2197825.036 MP14 (1599) 6/30/2021 -77.7 6055253.401 2197825.036 719 FFS-1 14248 FFS-1/1/WB2/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6061436.461 2262022.62 MP8 (1420) 7/6/2021 88.03 6061436.461 2262022.62 1291 FVM-1 15700 FVM-1/1/WB2/MP17 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6047178.815 2210990.613 MP17 (1587) 6/22/2021 -29.3 6047178.815 2210990.613 7297 GGM-1 10033 GGM-1/1/WB1/MP13 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6045688.299 2230864.24 MP13 (2011) 7/8/2021 -13.6 6045688.299 2230864.24 8923 GGM-2 9057 GGM-2/1/WB1/MP13 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6026525.607 2230233.156 MP13 (1994) 6/22/2021 -15.01 6026525.607 2230233.156 7178 HBM-1 8443 HBM-1/1/WB1/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6031700.722 2216385.252 MP11 (1464) 7/2/2021 -25.08 6031700.722 2216385.252 720 IDM-1 18984 IDM-1/1/WB2/MP9 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6099572.243 2207081.537 MP9 (993) 7/7/2021 -10.34 6099572.243 2207081.537 9830 IDM-2 10066 IDM-2/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6080705.598 2209836.046 MP8 (890) 7/7/2021 -53.81 6080705.598 2209836.046 11949 LAM-1 12031 LAM-1/1/WB1/MP12 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6009581.587 2238043.705 MP12 (1613) 6/15/2021 -36.83 6009581.587 2238043.705 758 MCAS-7 11831 MCAS-7/1/WB3/MP6 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6093900.827 2194418.586 MP6 (802) 7/7/2021 21.5 6093900.827 2194418.586 756 SAR-1 9269 SAR-1/1/WB2/MP13 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6070684.206 2250425.314 MP13 (1374) 6/29/2021 85.58 6070684.206 2250425.314 761 SAR-2 11995 SAR-2/1/WB2/MP12 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6069096.008 2245410.807 MP12 (1351) 6/29/2021 74.07 6069096.008 2245410.807 762 SAR-3 9471 SAR-3/1/WB2/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066892.02 2238409.284 MP11 (1393) 6/24/2021 58.87 6066892.02 2238409.284 763 SAR-4 14637 SAR-4/1/WB2/MP10 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6065370.966 2233375.154 MP10 (1398) 6/29/2021 -9.56 6065370.966 2233375.154 1289 SAR-5 21226 SAR-5/1/WB3/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6062597.607 2227874.211 MP11 (1735) 6/30/2021 -15.3 6062597.607 2227874.211 7181 SAR-9 9807 SAR-9/1/WB1/MP12 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6058380.802 2221450.982 MP12 (1724) 6/30/2021 -28.443 6058380.802 2221450.982 9686 SBM-1 9730 SBM-1/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6016566.11 2224523.54 MP8 (1256) 6/15/2021 -28.045 6016566.11 2224523.54 1001 SC-2 6242 SC-2/1/WB2/MP10 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6086489.295 2237887.557 MP10 (664) <Null> <Null> 6086489.295 2237887.557 1005 SC-3 8841 SC-3/1/WB2/MP5 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6081074.85 2229940.413 MP5 (1022) 7/1/2021 48.56 6081074.85 2229940.413 2888 SC-4 6300 SC-4/1/WB1/MP8 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6082605.785 2235080.546 MP8 (830) 7/1/2021 44.34 6082605.785 2235080.546 2854 SC-5 6336 SC-5/1/WB1/MP10 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6077454.866 2225543.458 MP10 (1430) 7/1/2021 -27.75 6077454.866 2225543.458 9684 SC-6 9763 SC-6/1/WB1/MP11 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6066813.288 2216032.113 MP11 (1684) 7/7/2021 -50.96 6066813.288 2216032.113 1293 WMM-1 19892 WMM-1/1/WB2/MP16 ORANGE COUNTY WATER DISTRICT Multiport Monitoring Well 6038251.554 2221751.195 MP16 (1745) 7/8/2021 -23.94 6038251.554 2221751.195 1883 TIC-91 1884 TIC-91/1 PRIVATE Destroyed and Sealed Well 6075952.042 2204613.252 403-1208 <Null> <Null> 6075952.042 2204613.252 22391 RAY-MW25 22392 RAY-MW25/1 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6042037.4 2268206.9 449.4-479.8 6/30/2021 30.11 6042037.4 2268206.9 22408 RAY-MW32 22411 RAY-MW32/3 RAYTHEON TECHNOLOGIES CORPORATION Monitoring Well 6039287.583 2267257.657 1070-1100 6/30/2021 26.62 6039287.583 2267257.657 8817 SA-38 8818 SA-38/1 SANTA ANA Standby Large-System Production Well 6077082.488 2229427.758 400-1270 6/30/2021 27 6077082.488 2229427.758 1873 TIC-93 1874 TIC-93/1 THE IRVINE COMPANY Destroyed and Sealed Well 6080030.447 2205228.503 400-1120 <Null> <Null> 6080030.447 2205228.503 1927 TIC-194 1931 TIC-194/1 THE IRVINE COMPANY Monitoring Well 6085062.044 2200644.721 562-726 6/29/2021 -62.48 6085062.044 2200644.721 3524 TIC-25 3525 TIC-25/1 THE IRVINE COMPANY Monitoring Well 6082128.447 2194002.252 666-760 6/29/2021 -62.21 6082128.447 2194002.252 1829 TIC-50 1830 TIC-50/1 THE IRVINE COMPANY Monitoring Well 6089719.969 2212322.221 475-1070 6/29/2021 19.34 6089719.969 2212322.221 958 T-WALN 959 T-WALN/1 TUSTIN Active Large-System Production Well 6084028.458 2212002.398 397-995 7/2/2021 -40 6084028.458 2212002.398 21187 WRD-SEALBEACH-1 21192 WRD-SEALBEACH-1/5 WATER REPLENISHMENT DISTRICT Monitoring Well 6002807.228 2229796.158 1020-1040 6/7/2021 -39.7 6002807.228 2229796.158 3518 WOOD-ISLK 3519 WOOD-ISLK/1 WOODBRIDGE VILL HOMEOWNER ASSN Inactive Production Well 6089676.955 2191898.777 210-800 6/28/2021 26.83 6089676.955 2191898.777 1 of 1
2025 URBAN WATER MANAGEMENT PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX F WATER SHORTAGE CONTINGENCY PLAN

in collaboration with and
2025 Water Shortage
Contingency Plan
FINAL DRAFT / April 2026

City of Fullerton
2025 Water Shortage Contingency Plan

April 2026 / FINAL DRAFT

Prepared By: Prepared For:

Carollo Engineers, Inc. City of Fullerton
707 Wilshire Boulevard, Suite 3920 303 W. Commonwealth Avenue Los Angeles, California 90017 Fullerton, California 92832 Phone: 213.489.1587 Phone: 714.738.6250
https://www.carollo.com https://www.cityoffullerton.com In collaboration with:

2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO
CITY OF FULLERTON i
pw://Carollo/CA/MWDOC/204447-000000/03 Reports and Studies/02 Deliverables/Grp1_Fullerton UWMP/Fullerton_2025 WSCP.docx

Contents
SECTION 1 INTRODUCTION AND WSCP OVERVIEW 1

1.1 Water Shortage Contingency Plan Requirements and Organization 1

1.2 Integration with Other Planning Efforts 2
SECTION 2 BACKGROUND INFORMATION 3

2.1 City Service Area 4

2.2 Relationship to Wholesalers 5

2.3 Relationship with Wholesaler Water Shortage Planning 7

2.3.1 MET Water Surplus and Drought Management Plan 7

2.3.2 MET Water Supply Allocation Plan 8
SECTION 3 WATER SHORTAGE CONTINGENCY PREPAREDNESS AND
RESPONSE PLANNING 10

3.1 Water Supply Reliability Analysis 10

3.2 Annual Water Supply and Demand Assessment Procedures 10

3.2.1 Decision-Making Process 11

3.2.2 Data and Methodologies 12

3.3 Six Standard Water Shortage Levels 16

3.4 Shortage Response Actions 17

3.4.1 Supply Augmentation 17

3.4.2 Demand Reduction 17

3.4.3 Operational Changes 18

3.4.4 Additional Mandatory Restrictions 18

3.4.5 Emergency Response Plan (Hazard Mitigation Plan) 18

3.4.6 Seismic Risk Assessment and Mitigation Plan 20

3.4.7 Shortage Response Action Effectiveness 20

3.5 Communication Protocols 20

3.6 Compliance and Enforcement 21

3.7 Legal Authorities 21

3.8 Financial Consequences of WSCP 22

3.9 Monitoring and Reporting 24

3.10 WSCP Refinement Procedures 25

3.11 Special Water Feature Distinction 25

3.12 Plan Adoption, Submittal, and Availability 25
SECTION 4 REFERENCES 26

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Appendices

APPENDIX A DWR SUBMITTAL TABLES
APPENDIX B FULLERTON MUNICIPAL CODE CHAPTER 12.06 WATER SUPPLY SHORTAGE

CONSERVATION PLAN

APPENDIX C WATER SHORTAGE COMMUNICATION PLAN

APPENDIX D NOTICE OF PUBLIC HEARING (PENDING)

APPENDIX E ADOPTED WSCP RESOLUTION (PENDING)
Tables
Table 1 Cross-Reference for Standard vs Supplier Shortage Levels 17 Table 2 Agency Contacts and Coordination Protocols 21
Table 3 Revenue Impact Analysis 23
Figures
Figure 1 City of Fullerton Service Area 4
Figure 2 Regional Location of City of Fullerton and Other MET Member Agencies 6 Figure 3 Resource Stages, Anticipated Actions, and Supply Declarations 8 Figure 4 AWSDA Reporting Timeline 11
Figure 5 Water Shortage Contingency Plan AWSDA Framework 13

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Abbreviations
% Percent
AF Acre-Feet
AWSDA Annual Water Supply and Demand Assessment
BPP Basin Production Percentage
CAMP4W MET's Climate Adaptation Master Plan for Water
City City of Fullerton
DDW Division of Drinking Water
DVL Diamond Valley Lake
DWR California Department of Water Resources
EPA Environmental Protection Agency
EOC Emergency Operations Center
EOP Emergency Operations Plan
FY Fiscal Year
GRP OCWD's Groundwater Resilience Plan
GSP Groundwater Sustainability Plan
IAWP Interim Agricultural Water Program
IRP Integrated Water Resources Plan
LHMP Local Hazard Mitigation Plan
M&I Municipal and Industrial
MCL Maximum Contaminant Level
MET Metropolitan Water District of Southern California MWDOC Municipal Water District of Orange County
NIMS National Incident Management System
OC Basin Orange County Groundwater Basin
OCWD Orange County Water District
PFAS Per- and Polyfluoroalkyl Substances
PFOA Perfluorooctanoic Acid
PFOS Perfluorooctane Sulfonate
PPT Parts Per Trillion
Producers Groundwater Producers
RL Response Level
SEMS California Standardized Emergency Management System Supplier Urban Water Supplier
SWP State Water Project
UWMP Urban Water Management Plan
Water Code California Water Code
WEROC Water Emergency Response Organization of Orange County 2025 WATER SHORTAGE CONTINGENCY PLAN
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WSAP Water Supply Allocation Plan
WSCP Water Shortage Contingency Plan
WSDM Water Surplus and Drought Management Plan

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CITY OF FULLERTON 1
SECTION 1 INTRODUCTION AND WSCP OVERVIEW
The Water Shortage Contingency Plan (WSCP) is a strategic planning document designed to prepare for and respond to water shortages. This WSCP complies with California Water Code (Water Code) Section 10632, which requires that every Urban Water Supplier (Supplier) shall prepare and adopt a WSCP as part of its Urban Water Management Plan (UWMP). This level of detailed planning and preparation is intended to help maintain reliable supplies and reduce the impacts of supply interruptions.

The WSCP is the City of Fullerton's (City) operating manual that is used to prevent catastrophic service disruptions through proactive, rather than reactive, management. A water shortage, when the water supply available is insufficient to meet the normally expected customer water use at a given point in time, may occur due to a number of reasons, such as drought, climate change, and catastrophic events. This Plan provides a structured guide for the City to deal with water shortages, incorporating prescriptive information and standardized action levels, along with implementation actions in the event of a catastrophic supply interruption. This way, if and when shortage conditions arise, the City's governing body, its staff, and the public can easily identify and efficiently implement pre-determined steps to manage a water shortage. A well-structured WSCP allows real-time water supply availability assessment and structured steps designed to respond to actual conditions, enabling efficient management of any shortage with predictability and accountability.

The WSCP also describes the City's procedures for conducting an Annual Water Supply and Demand Assessment (AWSDA) that is required by Water Code Section 10632.1 and is to be submitted to the California Department of Water Resources (DWR) on or before July 1 of each year, or within 14 days of receiving final allocations from the State Water Project (SWP), whichever is later. The City's 2025 WSCP is included as an appendix to its 2025 (UWMP) which will be submitted to DWR by July 1, 2026. However, while developed in conjunction with the UWMP, this WSCP is a standalone document and can be amended, as needed, without amending the UWMP. Furthermore, the Water Code does not prohibit a Supplier from taking actions not specified in its WSCP, if needed, without having to formally amend its UWMP or WSCP.

1.1 Water Shortage Contingency Plan Requirements and
Organization
The WSCP provides the steps and water shortage response actions to be taken in times of water shortage conditions. WSCP has prescriptive elements, such as an analysis of water supply reliability; the water shortage response actions for each of the six standard water shortage levels that correspond to water shortage percentages ranging from 10% to greater than 50%; an estimate of potential to close supply gap for each measure; protocols and procedures to communicate identified actions for any current or predicted water shortage conditions; procedures for an AWSDA; monitoring and reporting requirements to determine customer compliance; reevaluation and improvement procedures for evaluating the WSCP. 2025 WATER SHORTAGE CONTINGENCY PLAN
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This WSCP is organized into three main sections, with Section 3 aligned with the Water Code Section 16032 requirements.

Section 1 Introduction and WSCP Overview gives an overview of the WSCP fundamentals.

Section 2 Background Information provides a background on the City's water service area.

Section 3 Water Shortage Contingency Preparedness and Response Planning.

Section 3.1 Water Supply Reliability Analysis provides a summary of the water supply analysis and water reliability findings from the 2025 UWMP.

Section 3.2 Annual Water Supply and Demand Assessment Procedures provides a description of procedures to conduct and approve the AWSDA.

Section 3.3 Six Standard Water Shortage Stages explains the WSCP's six standard water shortage levels corresponding to progressive ranges of up to 10, 20, 30, 40, 50, and more than 50 percent shortages.

Section 3.4 Shortage Response Actions describes the WSCP's shortage response actions that align with the defined shortage levels.

Section 3.5 Communication Protocols addresses communication protocols and procedures to inform customers, the public, interested parties, and local, regional, and state governments, regarding any current or predicted shortages and any resulting shortage response actions.

Section 3.6 Compliance and Enforcement describes customer compliance, enforcement, appeal, and exemption procedures for triggered shortage response actions.

Section 3.7 Legal Authorities describes the legal authorities that enable the City to implement and enforce its shortage response actions.

Section 3.8 Financial Consequences of the WSCP provides a description of the financial consequences of and responses for drought conditions.

Section 3.9 Monitoring and Reporting describes monitoring and reporting requirements and procedures that ensure appropriate data is collected, tracked, and analyzed for purposes of monitoring customer compliance and to meet state reporting requirements.

Section 3.10 WSCP Refinement Procedures addresses reevaluation and improvement procedures for monitoring and evaluating the functionality of the WSCP.

Section 3.11 Special Water Feature Distinction provides a required definition for inclusion in a WSCP per the Water Code.

Section 3.12 Plan Adoption, Submittal, and Availability describes the process the City followed to adopt its WSCP.

1.2 Integration with Other Planning Efforts
As a retail water supplier in Orange County, the City considered other key entities in the development of this WSCP, including the Metropolitan Water District of Southern California (MET) (regional wholesaler for Southern California and the direct supplier of imported water to the City) and Orange County Water District (OCWD) (Orange County Groundwater Basin [OC Basin] manager and provider of recycled water in North Orange County).
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Some of the key planning and reporting documents that were used to develop this WSCP are:
 Municipal Water District of Orange County (MWDOC's) 2025 UWMP provides the basis for the projections of the imported supply availability over the next 25 years for the City's service area.  MWDOC's 2025 WSCP provides a water supply availability assessment and structured steps designed to respond to actual conditions that will help maintain reliable supplies and reduce the impacts of supply interruptions.
 MWDOC's 2023 Orange County Water Reliability Study is a planning document to help guide planning for future water supply reliability for water providers in Orange County and provide input on regional water supply issues for MET.
 2025 Orange County Water Demand Projection Model Technical Memorandum is a collaborative effort amongst MWDOC, OCWD, and all retail water suppliers in Orange County that developed water demand projections to produce regionally consistent forecasts across all Orange County water agencies.
 OCWD's 2025 Groundwater Resilience Plan (GRP) is an adaptive strategies management plan outlining strategic projects to secure reliable future water supplies in the Orange County Basin.  MET's 2025 UWMP uses assumptions that fall within the plausible futures contemplated in MET's Integrated Water Resources Plan to evaluate MET's future imported water supply reliability.  MET's 2025 WSCP provides a water supply availability assessment and guide for MET's intended actions during water shortage conditions.
 OCWD's 2023-24 Engineer's Report provides information on the groundwater conditions, water supply, and basin utilization of the OC Basin.
 OCWD's 2022 Basin 8-1 Alternative is an alternative to the Groundwater Sustainability Plan (GSP) for the OC Basin, provides significant information related to sustainable management of the basin in the past and hydrogeology of the basin, including groundwater quality and basin characteristics, and addresses DWR's recommendations to ensure long-term basin sustainability.  City of Fullerton's 2025 Local Hazard Mitigation Plan (LHMP) provides the basis for the seismic and other natural and natural disaster risk analysis of the water system facilities.  City of Fullerton's Public Works Department Water Division Emergency Response Plan incorporates and coordinates all facilities and personnel of the City into an efficient organization that is capable of responding effectively to an emergency.
 City of Fullerton's Risk and Resilience Assessment assesses the risk and resilience of the City's water system to malevolent acts and natural hazards.

SECTION 2 BACKGROUND INFORMATION
The City established its Water Utility in 1906, which functions to provide water to City residents. The City is a predominantly single and multi-family residential community, with a current population of 141,277, which is projected to increase by 12.5% over the next 25 years. This equates to an annual growth rate of

0.5%. The City is governed by a five-member council elected, each representing their own district, serving four-year staggered terms. As the City's legislative body, the Council is responsible for all municipal 2025 WATER SHORTAGE CONTINGENCY PLAN
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programs and services, as well as local policy decisions. The City regards an adequate supply of water as an essential service to ensure public health and safety, economic growth, and community wellbeing.

2.1 City Service Area
The City's water service area covers 22.3 square miles, in north Orange County bounded to the north by the cities of La Habra and Brea, Placentia to the east, Buena Park to the west, and Anaheim to the south.

The City's Water Utility operates 15 reservoirs with a capacity of 67.5 million gallons, 12 booster pumping stations, 7 active groundwater wells and manages about 424-mile water mains system with approximately 32,050 service connections.

Lying in the South Coast Air Basin (SCAB), its climate is characterized by southern California's "Mediterranean" climate with mild winters, warm summers, and moderate rainfall. In terms of land use, the City is a predominantly single and multi-family residential community. Recent and ongoing developments in the City include various residential, commercial, industrial, and mixed-use projects.

Moving forward, the City will continue planning for its Regional Housing Needs Allocation (RHNA) requirements and future planned developments may include accessory dwelling units (ADUs). A map of the City's water service area is shown in Figure 1.

Figure 1 City of Fullerton Service Area

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2.2 Relationship to Wholesalers
The Metropolitan Water District of Southern California: MET is the largest water wholesaler for domestic and municipal uses in California, serving approximately 19 million customers. MET wholesales imported water supplies to 26 member cities and water districts in six Southern California counties. Its service area covers the southern California coastal plain, extending approximately 200 miles along the Pacific Ocean from the City of Oxnard in the north to the international boundary with Mexico in the south.

This encompasses 5,200 square miles and includes portions of Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura counties. Approximately 85% of the population from the aforementioned counties reside within MET's boundaries.

MET is governed by a Board of Directors comprised of 38 appointed individuals with a minimum of one representative from each of MET's 26 member agencies. The allocation of directors and voting rights are determined by each agency's assessed valuation. Each member of the Board shall be entitled to cast one vote for each ten million dollars ($10,000,000) of assessed valuation of property taxable for district purposes, in accordance with Section 55 of the Metropolitan Water District Act. Directors can be appointed through the chief executive officer of the member agency or by a majority vote of the governing board of the agency. Directors are not compensated by MET for their service.

MET is responsible for importing water into the region through its operation of the Colorado River Aqueduct and its contract with the State of California for SWP supplies. Member agencies receive water from MET through various delivery points and pay for service through a rate structure made up of volumetric rates, capacity charges, and readiness to serve charges. Member agencies provide estimates of imported water demand to MET annually in April regarding the amount of water they anticipate they will need to meet their demands for the next five years.

The City is one of MET's member agencies that purchases water directly from MET. The City's location within MET's service area and Orange County is shown in Figure 2. 2025 WATER SHORTAGE CONTINGENCY PLAN
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Figure 2 Regional Location of City of Fullerton and Other MET Member Agencies

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2.3 Relationship with Wholesaler Water Shortage Planning The WSCP is designed to be consistent with MET's Water Surplus and Drought Management (WSDM) Plan and Water Supply Allocation Plan (WSAP) and other emergency planning efforts as described below.

MET's WSAP is integral to the WSCP's shortage response strategy in the event that MET determines that supply augmentation (including storage) and lesser demand reduction measures would not be sufficient to meet projected shortage levels needed to meet demands.

2.3.1 MET Water Surplus and Drought Management Plan
MET evaluates the level of supplies available and existing levels of water in storage to determine the appropriate management stage annually. Each stage is associated with specific resource management actions to avoid extreme shortages to the extent possible and minimize adverse impacts to retail customers should an extreme shortage occur. The sequencing outlined in the WSDM Plan reflects anticipated responses towards MET's existing and expected resource mix.

Surplus stages occur when net annual deliveries can be made to water storage programs. Under the WSDM Plan, there are four surplus management stages that provides a framework for actions to take for surplus supplies. Deliveries in Diamond Valley Lake (DVL) and in SWP terminal reservoirs continue through each surplus stage provided there is available storage capacity. Withdrawals from DVL for regulatory purposes or to meet seasonal demands may occur in any stage.

The WSDM Plan distinguishes between shortages, severe shortages, and extreme shortages. The differences between each term are listed below:
 Shortage: MET can meet full-service demands and partially meet or fully meet interruptible demands using stored water or water transfers, as necessary (Stages 1-3).  Severe Shortage: MET can meet full-service demands only by making withdrawals from storage, calling on its water transfers, and possibly calling for extraordinary conservation and reducing deliveries under the Interim Agricultural Water Program (IAWP) (Stages 4-5).  Extreme Shortage: MET must allocate available supply to full-service customers (Stage 6).

There are six shortage management stages to guide resource management activities. These stages are defined by shortfalls in imported supply and water balances in MET's storage programs. When MET must make net withdrawals from storage to meet demands, it is considered to be in a shortage condition.

Figure 3 gives a summary of actions under each surplus and shortage stages when an allocation plan is necessary to enforce mandatory cutbacks. The goal of the WSDM plan is to avoid Stage 6, an extreme shortage (MET, 2026b).
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Source: MET’s 2025 UWMP.

Figure 3 Resource Stages, Anticipated Actions, and Supply Declarations MET's Board of Directors adopted a Water Supply Condition Framework in June 2008 to communicate the urgency of the region's water supply situation and the need for further water conservation practices. The framework has four conditions, each calling increasing levels of conservation. Descriptions for each of the four conditions are listed below:
 Baseline Water Use Efficiency: Ongoing conservation, outreach, and recycling programs to achieve permanent reductions in water use and build storage reserves.  Condition 1 Water Supply Watch: Local agency voluntary dry-year conservation measures and use of regional storage reserves.
 Condition 2 Water Supply Alert: Regional call for cities, counties, member agencies, and retail water agencies to implement extraordinary conservation through drought ordinances and other measures to mitigate use of storage reserves.
 Condition 3 Water Supply Allocation: Implement MET's WSAP.

As noted in Condition 3, should supplies become limited to the point where imported water demands cannot be met, MET will allocate water through the WSAP (MET, 2026a).

2.3.2 MET Water Supply Allocation Plan
MET's imported supplies have been impacted by a number of water supply challenges as noted earlier. In case of extreme water shortage within the MET service area is the implementation of its WSAP.

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MET's Board of Directors originally adopted the WSAP in February 2008 to fairly distribute a limited amount of water supply and applies it through a detailed methodology to reflect a range of local conditions and needs of the region's retail water consumers (MET, 2026a).

The WSAP includes the specific formula for calculating member agency supply allocations and the key implementation elements needed for administering an allocation. MET's WSAP is the foundation for the urban water shortage contingency analysis required under Water Code Section 10632 and is part of MET's 2025 UWMP.

MET's WSAP was developed in consideration of the principles and guidelines in MET's 1999 WSDM Plan with the core objective of creating an equitable "needs-based allocation". The WSAP's formula seeks to balance the impacts of a shortage at the retail level while maintaining equity on the wholesale level for shortages of MET supplies of up to greater than 50%. The formula takes into account a number of factors, such as the impact on retail customers, growth in population, changes in supply conditions, investments in local resources, demand hardening aspects of water conservation savings, recycled water, extraordinary storage and transfer actions, and groundwater imported water needs.

The formula is calculated in three steps: (1) based period calculations; (2) allocation year calculations; and (3) supply allocation calculations. The first two steps involve standard computations, while the third step contains specific methodology developed for the WSAP.

Step 1: Base Period Calculations - The first step in calculating a member agency's water supply allocation is to estimate their water supply and demand using a historical base period with established water supply and delivery data. The base period for each of the different categories of supply and demand is calculated using data from the two most recent non-shortage years.

Step 2: Allocation Year Calculations - The next step in calculating the member agency's water supply allocation is estimating water needs in the allocation year. This is done by adjusting the base period estimates of retail demand for population growth and changes in local supplies.

Step 3: Supply Allocation Calculations - The final step is calculating the water supply allocation for each member agency based on the allocation year water needs identified in Step 2.

In order to implement the WSAP, MET's Board of Directors makes a determination on the level of the regional shortage, based on specific criteria, typically in April. The criteria used by MET includes current levels of storage, estimated water supplies conditions, and projected imported water demands. The allocations, if deemed necessary, go into effect in July of the same year and remain in effect for a 12-month period. The schedule is made at the discretion of the Board of Directors (MET, 2026a).

As demonstrated by the findings in ET's 2025 UWMP both the Water Reliability Assessment and the Drought Risk Assessment (DRA) demonstrate that MET is projecting to be able to mitigate the challenges posed by hydrologic variability, potential climate change, and regulatory risk on its imported supply sources through the significant storage capabilities it has developed over the last two decades, both dry-year and emergency storage (MET, 2025). Although MET's 2025 UWMP forecasts that MET will be able to meet projected imported demands throughout the projected period from 2026 to 2050, uncertainty in supply conditions can result in MET needing to implement its WSAP to preserve dry-year storage and curtail demands (MET, 2026a).
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SECTION 3 WATER SHORTAGE CONTINGENCY

PREPAREDNESS AND RESPONSE PLANNING
The City's WSCP is a detailed guide of how the City intends to act in the case of an actual water shortage condition. The WSCP anticipates a water supply shortage and provides pre-planned guidance for managing and mitigating a shortage. Regardless of the reason for the shortage, the WSCP based on adequate details of demand reduction and supply augmentation measures that are structured to match varying degrees of shortage to ensure the relevant stakeholders understand what to expect during a water shortage situation.

3.1 Water Supply Reliability Analysis
Per Water Code Section 10632 (a)(1), the WSCP shall provide an analysis of water supply reliability conducted pursuant to Water Code Section 10635, and the key issues that may create a shortage condition when looking at the City's water asset portfolio.

Understanding water supply reliability, factors that could contribute to water supply constraints, availability of alternative supplies, and what effect these have on meeting customer demands provides the City with a solid basis on which to develop appropriate and feasible response actions in the event of a water shortage. For the 2025 UWMP, the City worked collaboratively with MWDOC and OCWD to produce long-term projected water use over the next 25 years, in 5-year increments, for a normal water year, a single dry water year, and a drought lasting 5 consecutive water years (MWDOC, 2025).

The City also conducted a DRA to evaluate a drought period that lasts five consecutive water years starting from the year following when the assessment is conducted (2026-2030). An analysis of both assessments determined that the City is capable of meeting all customers' demands from 2025 through 2050 for a normal year, a single dry year, and a drought lasting five consecutive years with significant imported water supplemental drought supplies from MET and ongoing conservation program efforts. As a result, there is no projected shortage condition due to drought that will trigger customer demand reduction actions until MET notifies the City of insufficient imported supplies. More information is available in the City's 2025 UWMP Sections 6 and 7 (Fullerton, 2026).

3.2 Annual Water Supply and Demand Assessment Procedures Per Water Code Section 10632.1, the City will conduct an AWSDA pursuant to subdivision (a) of Section 10632 and by July 1st of each year, beginning in 2022, submit an annual water shortage assessment with information for anticipated shortage, triggered shortage response actions, compliance and enforcement actions, and communication actions consistent with the Supplier's WSCP.

The City must include in its WSCP the procedures used for conducting an AWSDA. The AWSDA is a determination of the near-term outlook for supplies and demands and how a perceived shortage may relate to WSCP shortage stage response actions in the current calendar year. This determination is based on information available to the City at the time of the analysis. Starting in 2022, the AWSDA is due by July 1 of every year.
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This section documents the decision-making process required for formal approval of the City's AWSDA determination of water supply reliability each year and the key data inputs and the methodologies used to evaluate the water system reliability for the coming year, while considering that the year to follow would be considered dry.

3.2.1 Decision-Making Process
The following decision-making process describes the functional steps that the City will take to formally approve the AWSDA determination of water supply reliability each year.

3.2.1.1 City Steps to Approve the AWSDA Determination
The AWSDA will be predicated primarily on the OCWD Basin Production Percentage (BPP) and secondarily on MET's AWSDA outcomes. Figure 4 shows the AWSDA reporting timeline for the City of Fullerton.

Figure 4 AWSDA Reporting Timeline
The City produces local groundwater from the OC Basin managed by OCWD. The OC Basin is not adjudicated and as such, pumping from the OC Basin is managed through a process that uses financial incentives to encourage Groundwater Producers (Producers) to pump a sustainable amount of water. The framework for the financial incentives is based on establishing the BPP, the percentage of each Producer's total water supply that comes from groundwater pumped from the OC Basin. The BPP is set uniformly for all Producers by the OCWD on an annual basis. Based on the projected water demand and modeled water supply, over the long-term, OCWD anticipates sustainably supporting a BPP of 85%; however, volumes of groundwater and imported water may vary depending on OCWD's actual BPP projections. A supply reduction that may result from the annual BPP projection will be included in the AWSDA.

While the City's primary source of water is OCWD groundwater, any remaining source to meet retail demands comes from the purchase of imported water from MET. As a direct MET member, the AWSDA will be predicated on MET's WSDM supply and demand tracking, which is reported monthly to their Board of Directors. MET WSDM planning involves the examination of developing demand and supply conditions

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for the calendar year, as well as considerations of potential actions consistent with the WSDM Plan.

Additionally, City staff simultaneously provide water supply and demand reports to MET to inform them of emerging demand and supply conditions. These monthly analyses provide key information for MET to manage resources to meet a range of estimated demands and adjust to changing conditions throughout the year. Based on the year's supply conditions and WSDM actions, MET will present a completed AWSDA for its member agencies' review from which they will then seek Board approval in April of each year.

Additionally, MET expects that any triggers or specific shortage response actions that result from the AWSDA will be approved by their Board at that time and the information will be incorporated into the City's AWSDA.

The AWSDA findings will determine the approval process. If a shortage is identified, the AWSDA will be taken to City Council for approval and formally submitted to DWR prior to the July 1 deadline. If no shortage is identified, the AWSDA will be approved by the Public Works Director and formally submitted to DWR prior to the July 1 deadline.

3.2.2 Data and Methodologies
The following paragraphs document the key data inputs and methodologies that are used to evaluate the water system reliability for the coming year, while considering that the year to follow would be considered dry.

3.2.2.1 Assessment Methodology
The City will evaluate water supply reliability for the current year and one dry year for the purpose of the AWSDA. The AWSDA determination will be based on considerations of unconstrained water demand, local water supplies, MET imported water supplies, planned water use, and infrastructure considerations.

The balance between projected in-service area supplies, coupled with MET imported supplies, and anticipated unconstrained demand will be used to determine what, if any, shortage level is expected under the WSCP framework as presented in Figure 5. The WSCP's standard shortage levels are defined in terms of shortage percentages. Shortage percentages will be calculated by dividing the difference between water supplies and unconstrained demand by total unconstrained demand. This calculation will be performed separately for anticipated current year conditions and for assumed dry year conditions. 2025 WATER SHORTAGE CONTINGENCY PLAN
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Figure 5 Water Shortage Contingency Plan AWSDA Framework

3.2.2.2 Locally Applicable Evaluation Criteria
Within Orange County, there are no significant local applicable criteria that directly affect reliability.

Through the years, the water agencies in Orange County have made tremendous efforts to integrate their systems to provide flexibility to interchange with different sources of supplies. There are emergency agreements in place to ensure all parts of the County have an adequate supply of water. In the northern part of the County, agencies have the ability to meet a majority of their demands through groundwater with very little limitation, except for the OCWD BPP.

The City will also continue to monitor emerging supply and demand conditions related to supplemental imported water from MET and take appropriate actions consistent with the flexibility and adaptiveness inherent to the WSCP. The City's AWSDA was based on the City's service area, water sources, water supply reliability, and water use as described in Water Code Section 10631, including available data from state, regional, or local agency population, land use development, and climate change projections within the service area of the City. Some conditions that affect MET's wholesale supply and demand, such as groundwater replenishment, surface water and local supply production, can differ significantly from earlier projections throughout the year.

However, if a major earthquake on the San Andreas Fault occurs, it has the potential to damage all three key regional water aqueducts and disrupt imported supplies for up to six months. The region would likely impose a water use reduction ranging from 25-35% until the system is repaired. However, MET and MWDOC have taken proactive steps to handle such disruption, such as constructing DVL, and prepositioning necessary reconstruction resources to quickly recover from such a seismic event, which mitigates potential impacts. DVL, along with other local reservoirs, can store a six to twelve-month supply of emergency water (MET, 2026a).

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3.2.2.3 Water Supply
As detailed in the City's 2025 UWMP, the City meets all of its customers' demands with a combination of local groundwater and imported water from MET. The City's main source of water supply is groundwater from the OC Basin, and imported water from MET makes up the rest of the City's water supply portfolio. In Fiscal Year (FY) 2024-25, the City relied on 63 percent groundwater and 37 percent imported water. The volume of groundwater decreased in FY 2024-25 from historical averages while volume of imported water increased due to groundwater wells being temporarily taken offline while per- and polyfluoroalkyl substances (PFAS) treatment facilities are constructed to address PFAS contamination of groundwater.  It is projected that by 2050, the water supply portfolio will change to approximately 85 percent groundwater and 15% imported water as PFAS treatment facilities are completed. (Fullerton, 2026).

3.2.2.4 Unconstrained Customer Demand
The WSCP and AWSDA define unconstrained demand as expected water use prior to any projected shortage response actions that may be taken under the WSCP. Unconstrained demand is distinguished from observed demand, which may be constrained by preceding, ongoing, or future actions, such as emergency supply allocations during a multi-year drought. WSCP shortage response actions to constrain demand are inherently extraordinary; routine activities such as ongoing conservation programs and regular operational adjustments are not considered as constraints on demands.

The City's DRA reveals that its supply capabilities are expected to balance anticipated total water use and supply, assuming a five-year consecutive drought from FY 2025-26 through FY 2029-30 (Fullerton, 2026).

Water demands in a five-year consecutive drought are calculated as a 7% increase in water demand above a normal year for each year of the drought (MWDOC, 2025).

For the City, the five consecutive dry year demand scenario is based on the demand model's multiple dry year methodology. In accordance with the econometric demand model approach used to develop UWMP demand projections, a single hot/dry year was first identified based on weather conditions that produced the greatest demand response. Consecutive dry years were then represented by applying incremental scaling factors to this single hot/dry year demand to account for the compounding effects of persistent warm and dry conditions over time. These scaling factors show long‑term relationships between regional water use and multi‑year temperature and precipitation deficits and are applied sequentially to simulate second through fifth consecutive dry years. This approach is consistent with the demand modeling framework summarized in Chapter 7 of the City's UWMP.

3.2.2.5 Planned Water Use for Current Year Considering Dry Subsequent Year Water Code Section 10632(a)(2)(B)(ii) requires the AWSDA to determine "current year available supply, considering hydrological and regulatory conditions in the current year and one dry year." The AWSDA will include two separate estimates of City's annual water supply and unconstrained demand using: (1) current year conditions; and (2) assumed dry year conditions. Accordingly, the AWSDA's shortage analysis will present separate sets of findings for the current year and dry year scenarios. The Water Code does not specify the characteristics of a dry year, allowing discretion to the Supplier. The City will use its discretion to refine and update its assumptions for a dry-year scenarios in each AWSDA as information becomes available and in accordance with best management practices. 2025 WATER SHORTAGE CONTINGENCY PLAN
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Supply and demand analyses for the single-dry year case was based on conditions affecting the SWP as this supply availability fluctuates the most among MET's, and therefore the City's sources of supply. Severe drought conditions in 2021-2022 affected must of the Western United States, including the Colorado River system, which caused its water supply decrease. As conditions worsened, Lake Mead and Lake Powell (the largest storage units in the system), had a combined total storage capacity of 25 percent in 2022, a significant decrease from 39% in 2021 (MWDOC, 2026).

The Orange County Water Demand Projection Model isolated the impacts that weather and future climate can have on water demand through the use of a statistical model. The impacts of hot/dry weather conditions are reflected as a percentage increase in water demands from the normal year condition. For a single dry year condition (FY 2013-14), the model projects a 5% increase in demand for the OC Basin area where the City's service area is located (MWDOC, 2025). Detailed information of the model is included in the City's 2025 UWMP.

The City has documented that it is 100 percent reliable for single dry year demands from 2025 through 2050 with a demand increase of 7 percent from normal demand with significant reserves held by MET, local groundwater supplies, and conservation (Fullerton, 2026).

3.2.2.6 Infrastructure Considerations
The AWSDA will include consideration of any infrastructure issues that may pertain to near-term water supply reliability, including repairs, construction, and environmental mitigation measures that may temporarily constrain capabilities, as well as any new projects that may add to system capacity.

In partnership with OCWD, the City is in the process of constructing two PFAS Treatment Plants, each designed to treat at least two wells. The City also currently operates two PFAS Treatment Plants one of which is undergoing an expansion to accommodate well 7A, scheduled to come online May 2026.

The City is in the planning stages to drill a new well in the Fullerton service area. This well is expected to produce around 3,000 gallons per minute of flow and is estimated to be drilled by the end of 2028.

The City experiences, on average, approximately 100 water main breaks per year. These breaks often cause temporary water shutoffs to its customers. The City is planning to increase the rate of pipe replacement to a 60-year replacement cycle to reduce the rate of main breaks in the future.

3.2.2.7 Other Factors
The Orange County North Basin Superfund Site is a six-and-a-half-square-mile portion of the groundwater aquifer located under the City, Anaheim, and Placentia. Manufacturing industries operating primarily in the 1950s, 1960s, and 1970s have left a legacy of industrial pollutants, mainly volatile organic compounds (VOCs), at their former factories. These VOCs have migrated through soils and have leached into the underlying groundwater.

Currently, OCWD is conducting a Remedial Investigation/Feasibility Study under the oversight of the US Environmental Protection Agency (EPA). The City continues to closely monitor VOC levels in all of its wells.

Per- and polyfluoroalkyl substances (PFAS) are a group of thousands of manmade chemicals that includes perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS). PFAS compounds were once commonly used in many products including, among many others, stain- and water-repellent fabrics, 2025 WATER SHORTAGE CONTINGENCY PLAN
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nonstick products (e.g., Teflon), polishes, waxes, paints, cleaning products, and fire-fighting foams.

Beginning in the summer of 2019, the California State Division of Drinking Water (DDW) began requiring testing for PFAS compounds in some groundwater production wells in the OCWD area.

MET has voluntarily monitored PFAS in its source and treated waters since 2017. Most samples have shown non detect (ND) for all tested PFAS, including PFOA and PFOS. A limited number of other PFAS— such as PFHxA, PFBA, PFPeA, PFDoA, PFTA, and PFBS, have been detected only at trace levels below their method detection limits. PFOA and PFOS have not been detected in MET's imported or treated water supplies. Some member agencies, however, have detected these compounds in local groundwater wells, which may require treatment or source management to comply with emerging DDW regulations. As DDW and EPA establish enforceable maximum contaminant levels (MCLs) for PFOA and PFOS, some agencies may supplement their local supplies with increased purchases of MET water (MET, 2026b).

EPA finalized the first national drinking water standards for six PFAS compounds in April 2024. These standards include enforceable MCLs for PFOA and PFOS set at 4 parts per trillion (ppt). In May 2025 the EPA announced that it would extend the compliance deadline for PFOA and PFOS from 2029 to 2031 to provide additional time for testing, planning, and installation of treatment technologies. While MET and its member agencies continue to monitor and test PFAS in imported and local sources, the delay in the federal compliance date allows additional time to evaluate treatment options, coordinate funding, and plan system upgrades necessary to meet forthcoming federal PFAS standards.

PFAS have been detected in the OC Basin in very small amounts (parts per trillion), entering primarily via the Santa Ana River whose flows infiltrate into the basin. Despite playing no role in releasing PFAS into the environment, OCWD is working with its cities and retail water districts to remove it from local water supplies in order to comply with new state and federal regulations. More than 100 wells have been impacted due to various state and federal regulations. Fifteen impacted agencies will have to temporarily purchase more costly imported water to replace PFAS contaminated supplies. As of 2025, 53 impacted wells are back online due to close to a billion dollars being spent on state-of-the-art testing, research and piloting of different treatment systems, and design and construction of treatment plants that are now operational.

3.3 Six Standard Water Shortage Levels
Per Water Code Section 10632 (a)(3)(A), Suppliers must include the six standard water shortage levels that represent shortages from the normal reliability as determined in the AWSDA or cross-reference their shortage levels to the standard levels. The shortage levels have been standardized to provide a consistent regional and statewide approach to conveying the relative severity of water supply shortage conditions.

This is an outgrowth of the severe statewide drought of 2012-2016, and the widely recognized public communication and state policy uncertainty associated with the many different local definitions of water shortage levels.

The six standard water shortage levels correspond to progressively increasing estimated shortage conditions (up to 10%, 20%, 30%, 40%, 50%, and greater than 50% shortage compared to the normal reliability condition) and align with the response actions the Supplier would implement to meet the severity of the impending shortages (Table 1).
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Table 1 Cross-Reference for Standard vs Supplier Shortage Levels Submittal Table 8-1: Cross-reference for Standard vs Supplier Shortage Levels Water Code Section 10632(a)(3)(B)

Check the box if the Supplier uses the Standard six levels of water shortage.

Proceed to the next table.

Standard
Shortage
Levels
Percent
Shortage
Range
Suppliers
Shortage Levels Percent Shortage Range
1 Up to 10%

2 Up to 20%

3 Up to 30%

4 Up to 40%

5 Up to 50%

6 >50%

NOTES:

3.4 Shortage Response Actions
Water Code Section 10632 (a)(4) requires the WSCP to specify shortage response actions that align with the defined shortage levels. The City has defined specific shortage response actions that align with the defined shortage levels in DWR Tables 8-2 and 8-3 (Appendix A). These shortage response actions were developed with consideration to the system infrastructure and operations changes, supply augmentation responses, customer-class or water use-specific demand reduction initiatives, and increasingly stringent water use prohibitions.

3.4.1 Supply Augmentation
The supply augmentation actions are described in DWR Table 8-2 (Appendix A). These augmentations represent short-term management objectives triggered by the MET's WSDM Plan and do not overlap with the long-term new water supply development or supply reliability enhancement projects. Supply Augmentation is made available to the City through MET and OCWD. The City has the ability to pump additional groundwater from the OC Basin or purchase additional imported water from MET as a MET member agency. However, both additional pumped groundwater and purchased imported water are subject to rate penalties from OCWD and MET, respectively.

MET's reliability portfolio of water supply programs including existing water transfers, storage, and exchange agreements to supplement gaps in the City's supply/demand balance. MET has developed significant storage capacity (over 5 million AF) in reservoirs and groundwater banking programs both within and outside of the Southern California region. Additionally, MET can pursue additional water transfer and exchange programs with other water agencies to help mitigate supply/demand imbalances and provide additional dry-year supply sources.

3.4.2 Demand Reduction
The demand reduction measures that would be implemented to address shortage levels are described in DWR Table 8-3 (Appendix A). This table indicates which actions align with specific defined shortage levels and estimates the extent to which the actions will reduce the gap between supplies and demands to

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deliver the outcomes necessary to meet the requirements of a given shortage level. This table also identifies the enforcement action, if any, associated with each demand reduction measure.

3.4.3 Operational Changes
During shortage conditions, operations may be affected by supply augmentation or demand reduction responses. The City considered their operational procedures to identify changes that can be implemented to address water shortage on a short-term basis, such as temporarily altering maintenance cycles, deferring planned system outages, and adjusting the flow and routing of water through its system to more effectively distribute available supply across the service area.

3.4.4 Additional Mandatory Restrictions
Water Code Section 10632(a)(4)(D) calls for "additional, mandatory prohibitions against specific water use practices that are in addition to state-mandated prohibitions and appropriate to the local conditions" to be included among the WSCP's shortage response actions. The City will identify additional mandatory restrictions as needed based on the existing Fullerton Municipal Code Chapter 12.06 Water Supply Shortage Conservation Plan (Appendix B). The City intends to update any mandatory restrictions in a subsequently adopted ordinance which will supersede the existing ordinance.

3.4.5 Emergency Response Plan (Hazard Mitigation Plan)
A catastrophic water shortage would be addressed according to the appropriate water shortage level and response actions. It is likely that a catastrophic shortage would immediately trigger Shortage Level 6 and response actions have been put in place to mitigate a catastrophic shortage. In addition, there are several Plans that address catastrophic failures and align with the WSCP, including MET's WSDM and WSAP, the City's LHMP, and the Water Emergency Response Organization of Orange County (WEROC) Emergency Operations Plan (EOP).

3.4.5.1 MET's WSDM and WSAP Plans
MET has comprehensive plans for stages of actions it would undertake to address a catastrophic interruption in water supplies through its WSDM and WSAP. MET also developed an Emergency Storage Requirement to mitigate against potential interruption in water supplies resulting from catastrophic occurrences within the Southern California region, including seismic events along the San Andreas Fault.

In addition, MET is working with the state to implement a comprehensive improvement plan to address catastrophic occurrences outside of the Southern California region, such as a maximum probable seismic event in the Sacramento-San Joaquin River Delta that would cause levee failure and disruption of SWP deliveries.

The City is a participant of MET's Member Agency Response System (MARS). The City can communicate via two-way radio with the MET and its member agencies in extreme circumstances such as an earthquake, flood, fire, or a regional disaster to request or offer assistance, use certain facilities and equipment, and to request the service of certain personnel. 2025 WATER SHORTAGE CONTINGENCY PLAN
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3.4.5.2 Water Emergency Response of Orange County Emergency Operations Plan In 1983, the Orange County water community identified a need to develop a plan on how agencies would respond effectively to disasters impacting the regional water distribution system. The collective efforts of these agencies resulted in the formation of WEROC to coordinate emergency response on behalf of all Orange County water and wastewater agencies, develop an emergency plan to respond to disasters, and conduct disaster training exercises for the Orange County water community. WEROC, administered by MWDOC, was established through the creation of an indemnification agreement among its member agencies to protect each other against civil liabilities and to facilitate the exchange of resources. WEROC is unique in its ability to provide a single point of contact for the representation of all water and wastewater utilities in Orange County during a disaster. This representation is to the county, state, and federal disaster coordination agencies. Within the Orange County Operational Area, WEROC is the recognized contact for emergency response for the water community, including the City.

As a member of WEROC, the City will follow WEROC’s EOP in the event of an emergency and coordinate with WEROC to assess damage, initiate repairs, and request and coordinate mutual aid resources in the event that the City is unable to provide the level of emergency response support required by the situation.

The EOP defines the actions to be taken by WEROC Emergency Operations Center (EOC) staff to reduce the loss of water and wastewater infrastructure; to respond effectively to a disaster; and to coordinate recovery operations in the aftermath of any emergency involving extensive damage to Orange County water and wastewater utilities. The EOP includes activation notification protocol that will be used to contact partner agencies to inform them of the situation, activation status of the EOC, known damage or impacts, or resource needs. The EOP is a standalone document that is reviewed annually and approved by the MWDOC Board every three years.

WEROC is organized on the basis that each member agency is responsible for developing its own EOP in accordance with the California Standardized Emergency Management System (SEMS), National Incident Management System (NIMS), and Public Health Security and Bioterrorism Preparedness and Response Act of 2002 to meet specific emergency needs within its service area.

The WEROC EOC is responsible for assessing the overall condition and status of the Orange County regional water distribution and wastewater collection systems including MET facilities that serve Orange County. The EOC can be activated during an emergency situation resulting from both natural and man- made causes, and can be activated through automatic, manual, or standby for activation.

WEROC recognizes four primary phases of emergency management, which include:
 Preparedness: Planning, training, and exercises that are conducted prior to an emergency to support and enhance response to an emergency or disaster.
 Response: Activities and programs designed to address the immediate and short-term effects of the onset of an emergency or disaster that helps to reduce effects on water infrastructure and speed recovery. This includes alert and notification, EOC activation, direction and control, and mutual aid.  Recovery: This phase involved restoring systems to normal, in which short-term recovery actions are taken to assess the damage and return vital life-support systems to minimum operating standards, while long-term recovery actions have the potential to continue for many years.  Mitigation/Prevention: These actions prevent the occurrence of an emergency or reduce the area’s vulnerability in ways that minimize the adverse impacts of a disaster or emergency. 2025 WATER SHORTAGE CONTINGENCY PLAN
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The EOC Action Plans provide frameworks for EOC staff to respond to different situations with the objectives and steps required to complete them, which will in turn serve the WEROC member agencies. In the event of an emergency that results in a catastrophic water shortage, the City will declare a water shortage condition of up to Level 3 for the impacted area depending on the severity of the event, and coordination with WEROC is anticipated to begin at Level 4 or greater (WEROC, 2021).

3.4.5.3 City of Fullerton Emergency Response Plan
The City will also refer to its current American Water Infrastructure Act Risk and Resilience Assessment and Emergency Response Plan in the event of a catastrophic supply interruption. (Fullerton, 2026).

3.4.6 Seismic Risk Assessment and Mitigation Plan
Per the Water Code Section 10632.5, Suppliers are required to assess seismic risk to water supplies as part of their WSCP. The plan also must include the mitigation plan for the seismic risk(s). Given the great distances that imported supplies travel to reach Orange County, the region is vulnerable to interruptions along hundreds of miles of aqueducts, pipelines and other facilities associated with delivering the supplies to the region. Additionally, the infrastructure in place to deliver supplies is susceptible to damage from earthquakes and other disasters.

In lieu of conducting a seismic risk assessment specific to the City’s 2025 UWMP, the City has included their LHMPas required under the federal Disaster Mitigation Act of 2000 (Public Law 106-390). The LHMP describes the City’s approach to proactively decreasing threats before disaster occurs, including water supply specific mitigation actions such as supporting regional and subregional efforts to safeguard water infrastructure and supporting projects, programs, policies, and regulations to maintain adequate water supply as well as adequate water quality. (Fullerton, 2020).

3.4.7 Shortage Response Action Effectiveness
For each specific Shortage Response Action identified in the plan, the WSCP also estimates the extent to which that action will reduce the gap between supplies and demands identified in DWR Tables 8-2 and 8-3 (Appendix A). To the extent feasible, the City has estimated percentage savings for the chosen suite of shortage response actions, which can be anticipated to deliver the expected outcomes necessary to meet the requirements of a given shortage level.

3.5 Communication Protocols
Timely and effective communication is a key element of the WSCP implementation. Per the Water Code Section 10632 (a)(5), the City has established communication protocols and procedures to inform customers, the public, interested parties, and local, regional, and state governments regarding any current or predicted shortages as determined by the AWSDA described pursuant to Section 10632.1; any shortage response actions triggered or anticipated to be triggered by the AWSDA described pursuant to Section 10632.1; and any other relevant communications. The City's Water Shortage Communication Plan is documented in Appendix C.
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3.6 Compliance and Enforcement
Per the Water Code Section 10632 (a)(6), the City has defined customer compliance, enforcement, appeal, and exemption procedures for triggered shortage response actions. Communication procedures to ensure customer compliance are described in Section 3.5 and customer enforcement, appeal, and exemption procedures are defined in the Fullerton Municipal Code Chapter 12.06 Water Supply Shortage Conservation Plan (Appendix B). The City intends to update as needed existing enforcement procedures in a subsequently adopted ordinance which will supersede the existing ordinance.

3.7 Legal Authorities
Per Water Code Section 10632 (a)(7)(A), the City has provided a description of the legal authorities that empower the City to implement and enforce its shortage response in the Fullerton Municipal Code Chapter 12.06d Water Supply Shortage Conservation Plan (Appendix B).

Per Water Code Section 10632 (a)(7) (B), the City shall declare a water shortage emergency condition to prevail within the area served by such wholesaler whenever it finds and determines that the ordinary demands and requirements of water consumers cannot be satisfied without depleting the water supply of the distributor to the extent that there would be insufficient water for human consumption, sanitation, and fire protection.

Per Water Code Section 10632 (a)(7)(C), the City shall coordinate with any agency or county within which it provides water supply services for the possible proclamation of a local emergency under California Government Code, California Emergency Services Act (Article 2, Section 8558). Table 2 identifies the contacts for all cities or counties for which the Supplier provides service in the WSCP, along with developed coordination protocols, can facilitate compliance with this section of the Water Code in the event of a local emergency as defined in subpart (c) of Government Code Section 8558.

Table 2 Agency Contacts and Coordination Protocols
Contact Agency Coordination Protocols
714-433-6011 Orange County Health Care Agency Contact Agency Director to coordinate conservation efforts
714-765-3300 Anaheim Contact City Manager to coordinate conservation efforts
714-990-7687 or 714-990-7911 Brea Contact City Manager to coordinate conservation efforts
714-528-1462 Golden State Water Company Contact General Manager to coordinate conservation efforts
562-905-9750 or 562-905-9769 La Habra Contact City Manager to coordinate conservation efforts
562-944-8219 Suburban Water System Contact General Manager to coordinate conservation efforts
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3.8 Financial Consequences of WSCP
Per Water Code Section 10632(a)(8), Suppliers must include a description of the overall anticipated financial consequences to the Supplier of implementing the WSCP. This description must include potential reductions in revenue and increased expenses associated with implementation of the shortage response actions. This should be coupled with an identification of the anticipated mitigation actions needed to address these financial impacts. Table 3 shows the revenue impact analysis of the respective WSCP levels for the City of Fullerton.

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Table 3 Revenue Impact Analysis
Demand Baseline
(Normal Year)
Level 1 Level 2 Level 3 Level 4 Level 5 Level 6
10% 20% 30% 40% 50% >50%
Water Produced / Purchased (AF) 23,799 21,419 19,039 16,659 14,279 11,900 11,900 max.

Water Losses (AF) 1,293 1,164 1,034 905 776 647 647 max.

Water Sales (AF) 22,506 20,255 18,005 15,754 13,504 11,253 11,253 max.

Revenue
Commodity Rate ($/1000 Gal) Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Tier 1: 2.60
Tier 2: 5.30
Tier 3: 5.73
Fixed: 3.30
Commodity Revenue 23,987,517 21,588,766 19,190,014 16,791,262 14,392,510 11,993,759 11,993,759 max.

Fixed Monthly Charge Revenue 18,049,200 18,049,200 18,049,200 18,049,200 18,049,200 18,049,200 18,049,200 Total Rate Revenue 42,036,718 39,637,966 37,239,214 34,840,463 32,441,711 30,042,959 30,042,959 max.

Revenue Lost $2,398,752 $4,797,503 $7,196,255 $9,595,007 $11,993,759 $11,993,759 min.

Variable Costs
Sources of Supply, Pumping, Treatment ($) 17,019,303 15,317,372 13,615,442 11,913,512 10,211,582 8,509,651 8,509,651 max.

Unit Costs ($/AF) 715 715 715 715 715 715 715
Avoided Costs $1,701,930 $3,403,861 $5,105,791 $6,807,721 $8,509,651 $8,509,651 min.

Net Revenue Change $696,821 $1,393,643 $2,090,464 $2,787,286 $3,484,107 $3,484,107 min.

Rate Revenue Increase Required(1) 1.76% 3.74% 6.00% 8.59% 11.60% 11.60% min.

Notes:
(1) The City does not have water supply shortage rates. 2025 WATER SHORTAGE CONTINGENCY PLAN
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During a catastrophic interruption of water supplies, prolonged drought, or water shortage of any kind, the City will experience a reduction in revenue due to reduced water sales. Throughout this period of time, expenditures may increase or decrease with varying circumstances. Expenditures may increase in the event of significant damage to the water system, resulting in emergency repairs. Expenditures may also decrease as less water is pumped through the system, resulting in lower power costs. Water shortage mitigation actions will also impact revenues and require additional costs for drought response activities such as increased staff costs for tracking, reporting, and communications.

The City receives water revenue from a service charge and a commodity charge based on consumption.

The service charge recovers costs associated with providing water to the serviced property. The service charge does not vary with consumption and the commodity charge is based on water usage. Rates have been designed to recover the full cost of water service in the charges. Therefore, the total cost of purchasing water would decrease as the usage or sale of water decreases. In the event of a drought emergency, the City will impose excessive water use penalties on its customers, which may include additional costs associated with reduced water revenue, staff time taken for penalty enforcement, and advertising the excessive use penalties. The excessive water use penalties are further described in the City's Municipal Code Chapter 12.06 Water Supply Shortage Conservation Plan (Appendix B).

However, there are significant fixed costs associated with maintaining a minimal level of service. The City will monitor projected revenues and expenditures should an extreme shortage and a large reduction in water sales occur for an extended period of time. To overcome these potential revenue losses and/or expenditure impacts, the City may use reserves. If necessary, the City may reduce expenditures by delaying implementation of its Capital Improvement Program and equipment purchases to reallocate funds to cover the cost of operations and critical maintenance, adjust the work force, implement a drought surcharge, and/or make adjustments to its water rate structure.

Based on current water rates, a volumetric cutback of up to 50% and above of water sales may lead to a range of reductions in revenues. The impacts to revenues will depend on a proportionate reduction in variable costs related to supply, pumping, and treatment for the specific shortage event. The City has set a plan to modify the water rate structure in a way that stabilizes revenue during times of drought by increasing the fixed revenue.

3.9 Monitoring and Reporting
Per Water Code Section 10632(a)(9), the City is required to provide a description of the monitoring and reporting requirements and procedures that have been implemented to ensure appropriate data is collected, tracked, and analyzed for purposes of monitoring customer compliance and to meet state reporting requirements.

Monitoring and reporting key water use metrics is fundamental to water supply planning and management. Monitoring is also essential in times of water shortage to ensure that the response actions are achieving their intended water use reduction purposes, or if improvements or new actions need to be considered (see Section 3.10). Monitoring for customer compliance tracking is also useful in enforcement actions.

Under normal water supply conditions, potable water production figures are recorded daily. Monthly reports are prepared and monitored. This data will be used to measure the effectiveness of any water shortage contingency level that may be implemented. As levels of water shortage are declared by MET, 2025 WATER SHORTAGE CONTINGENCY PLAN
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the City will follow implementation of those levels as appropriate based on the City's risk profile provided in UWMP Chapter 6 and continue to monitor water demand levels. When MET calls for extraordinary conservation, MET's Drought Program Officer will coordinate public information activities with the City and monitor the effectiveness of ongoing conservation programs.

The City will participate in regular meetings with local agencies to monitor and discuss monthly water allocation charts. This will enable the City to be aware of import and groundwater use on a timely basis as a result of specific actions taken responding to the City's WSCP.

3.10 WSCP Refinement Procedures
Per Water Code Section 10632 (a)(10), the City must provide reevaluation and improvement procedures for systematically monitoring and evaluating the functionality of the water shortage contingency plan in order to ensure shortage risk tolerance is adequate and appropriate water shortage mitigation strategies are implemented as needed.

The City's WSCP is prepared and implemented as an adaptive management plan. The City will use the monitoring and reporting process defined in Section 3.9 to refine the WSCP. In addition, if certain procedural refinements or new actions are identified by City staff, or suggested by customers or other interested parties, the City will evaluate their effectiveness, incorporate them into the WSCP, and implement them quickly at the appropriate water shortage level.

It is envisioned that the WSCP will be periodically re-evaluated to ensure that its shortage risk tolerance is adequate, and the shortage response actions are effective and up to date based on lessons learned from implementing the WSCP. The WSCP will be revised and updated during the UWMP update cycle to incorporate updated and new information. For example, new supply augmentation actions will be added, and actions that are no longer applicable for reasons such as program expiration will be removed.

However, if revisions to the WSCP are warranted before the UWMP is updated, the WSCP will be updated outside of the UWMP update cycle. In the course of preparing the AWSDA each year, City staff will routinely consider the functionality the overall WSCP and will prepare recommendations for City Council if changes are found to be needed.

3.11 Special Water Feature Distinction
Per Water Code Section 10632 (b), the City has defined water features in that are artificially supplied with water, including ponds, lakes, waterfalls, and fountains, separately from swimming pools and spas, as defined in subdivision (a) of Section 115921 of the Health and Safety Code, in the City's Municipal Code Chapter 12.06 Water Supply Shortage Conservation Plan (Appendix B).

3.12 Plan Adoption, Submittal, and Availability
Per Water Code Section 10632 (a)(c), the City provided notice of the availability of the Public Review Draft 2025 UWMP and 2025 WSCP and notice of the public hearing to consider adoption of the WSCP. The Public Review drafts of the 2025 UWMP and the 2025 WSCP were posted prominently on the City's website 14 days in advance of the public hearing on May 5, 2026. Copies of the Draft WSCP were also made available for public inspection at the City Clerk's and Utilities Department offices and public hearing notifications were published in local newspapers. A copy of the published Notice of Public Hearing is included in Appendix D.
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The City held the public hearing for the Draft 2025 UWMP and Draft WSCP on May 5, 2026 at the City Council meeting. The City Council reviewed and approved the 2025 UWMP and the WSCP at its May 5, 2026 meeting after the public hearing. See Appendix E for the resolution approving the WSCP.

By July 1, 2026, the City's adopted 2025 UWMP and WSCP was filed with DWR, California State Library, and the County of Orange. The City will make the WSCP available for public review on its website no later than 30 days after filing with DWR.

Based on DWR's review of the WSCP, the City will make any amendments to its adopted WSCP, as required and directed by DWR.

If the City revises its WSCP after the UWMP is approved by DWR, then an electronic copy of the revised WSCP will be submitted to DWR within 30 days of its adoption.

SECTION 4 REFERENCES
City of Fullerton. (2026). 2025 Urban Water Management Plan.

City of Fullerton. (2020, May). Local Hazard Mitigation Plan.

Metropolitan Water District of Southern California (MET). (2026a). 2025 Water Shortage Contingency Plan.

Metropolitan Water District of Southern California (MET). (2026b, June). 2025 Urban Water Management Plan.

Municipal Water District of Orange County (MWDOC). (2026). 2025 Urban Water Management Plan.

Municipal Water District of Orange County (MWDOC). (2025, December 30). Orange County Water Demand Projection Model Technical Memorandum.

Municipal Water District of Orange County (MWDOC). (2023, July). 2023 Orange County Water Reliability Study.

Water Emergency Response Organization of Orange County (WEROC). (2025). WEROC 2025 Annual Report.

2025 WATER SHORTAGE CONTINGENCY PLAN
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CITY OF FULLERTON

APPENDIX A DWR SUBMITTAL TABLES

2025 WATER SHORTAGE CONTINGENCY PLAN
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CITY OF FULLERTON A-1
Submittal Table 8-1: Cross Reference for Standard vs Supplier Shortage Level Submittal Table 8-1: Cross-reference for Standard vs Supplier Shortage Levels Water Code Section 10632(a)(3)(B)

Check the box if the Supplier uses the Standard six levels of water shortage.

Proceed to the next table.

Standard Shortage Levels Percent Shortage Range Suppliers Shortage Levels Percent Shortage Range 1 Up to 10%
2 Up to 20%
3 Up to 30%
4 Up to 40%
5 Up to 50%
6 >50%
NOTES:

Submittal Table 8-2: Supply Augmentation and Other Actions Submittal Table 8-2 Retail: Supply Augmentation and Other Actions Water Code Section 10632(a)(4)(A),(C) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Supply Augmentation
Methods and Other Actions by
Water Supplier
Drop down list
These are the only categories
that will be accepted by the
WUEdata online submittal tool
How much is this going to reduce
the shortage gap?
Additional Explanation or
Reference
(OPTIONAL)
Volume or
Percentage
Drop down
Shortage Gap
Reduction Value
(May be a range)
(AF)
Add additional rows as needed
0-6 Other Actions (describe) Percentage 0-100%
Pump additional
groundwater from OC
Groundwater Basin (short-
term shortage) with rate
penalty
0-6 Other Actions (describe) Percentage 1-100%
Purchase additional
imported water from MET
with rate penalty
DWR NOTES: Units of measure (AF, CCF, MG) must remain consistent throughout the UWMP as reported in Submittal Table 2-3.

NOTES: Both additional pumped groundwater and purchased imported water are subject to rate penalties from OCWD and MET.

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Submittal Table 8-3: Demand Reduction Actions
Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

How much is this going to reduce the
shortage gap?
Additional Explanation
or Reference
(OPTIONAL)
Penalty, Charge,
or Other
Enforcement?
For Retail
Suppliers Only
Drop Down List
Volume or
Percentage
Drop down
Shortage Gap Reduction
Value
(May be a range)
(AF)
Add additional rows as needed
0 Landscape - Prohibit certain
types of landscape irrigation
Statewide Prohibition is
Required
Watering or irrigation of nonfunctional turf
(NFT) on State and local government
properties, commercial, industrial, and
institutional owned landscapes,
homeowners' associations common area
landscapes, and local government facilities in
disadvantaged communities (DAC) is
prohibited. See Note 1 below.

No
0 Other water feature or
swimming pool restriction
Percentage 0 All decorative water features must re-
circulate water or users mist secure a waiver
from the City.

Yes
0 Other Percentage 0 Washing or hosing down vehicles is prohibited except by use of a handheld
container, hose with an automatic shut off
device, or at a commercial car wash.

Yes
0 Other - Prohibit use of
potable water for washing
hard surfaces
Percentage 0 Washing hard or paved surfaces is prohibited except to alleviate safety or sanitary hazards
using a handheld container, hose with an
automatic shut off device, or a low-volume
high pressure cleaning machine that recycles
used water.

Yes
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

How much is this going to reduce the
shortage gap?
Additional Explanation
or Reference
(OPTIONAL)
Penalty, Charge,
or Other
Enforcement?
For Retail
Suppliers Only
Drop Down List
Volume or
Percentage
Drop down
Shortage Gap Reduction
Value
(May be a range)
(AF)
0 Landscape - Restrict or
prohibit runoff from
landscape irrigation
Percentage 0 Watering vegetated areas in a manner that
causes excessive water flow or runoff onto an
adjoining sidewalk, driveway, street, alley,
gutter, or ditch is prohibited.

Yes
0 Landscape - Other
landscape restriction or
prohibition
Percentage 0 Irrigating ornamental turf on public street medians is prohibited. No landscape watering
shall occur within 48 hours after measurable
precipitation.

Yes
0 Landscape - Limit landscape
irrigation to specific times
Percentage 0 Watering or irrigation with a device that is not continuously attended to is limited to
fifteen (15) minutes per day per valve. Low
flow drip type systems, water efficient steam
rotor systems.

Yes
0 Other - Customers must
repair leaks, breaks, and
malfunctions in a timely
manner
Percentage 0 Fix leaks or faulty sprinkler promptly/within 3 day(s)
Yes
0 CII - Other CII restriction or
prohibition
Percentage 0 No single pass cooling systems may be
installed in new or remodeled buildings.

Yes
0 CII - Commercial kitchens
required to use pre-rinse
spray valves
Percentage 0 All new commercial car wash and laundry
facilities must re-circulate the wash waster or
obtain a waiver from the City.

Yes
0 Other - Require automatic
shut of hoses
Percentage 0 Use a shutoff nozzle on hoses. Yes
2025 WATER SHORTAGE CONTINGENCY PLAN
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

Yes
0 Other Percentage 0 Unauthorized use of hydrants is prohibited.

Authorization for use must be obtained from
water supplier.

Yes
1 Expand Public Information
Campaign
Percentage 0-1% Community outreach and messaging (Expand public information campaign), Encourage
customers to wash only full loads when
washing dishes or clothes. Encourage
customers to use pool covers to minimize
evaporation.

Yes
1 Landscape - Limit landscape
irrigation to specific times
Percentage 0-5% watering or irrigation of vegetated areas is prohibited between 9 am and 6 pm except by
use of a handheld device, hose equipped with
an automatic shutoff device, or for adjusting.

Yes
1 CII - Restaurants may only
serve water upon request
Percentage 0-1% CII- Restaurants may only serve water upon request.

Yes
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

How much is this going to reduce the
shortage gap?
Additional Explanation
or Reference
(OPTIONAL)
Penalty, Charge,
or Other
Enforcement?
For Retail
Suppliers Only
Drop Down List
Volume or
Percentage
Drop down
Shortage Gap Reduction
Value
(May be a range)
(AF)
1 CII - Lodging establishment
must offer opt out of linen
service
Percentage 0-1% CII- Lodging establishment must offer opt out of linen service
Yes
1 CII - Other CII restriction or
prohibition
Percentage 0-1% Commercial, industrial, institutional
equipment must be properly maintained and
in full working order.

Yes
1 Landscape - Prohibit certain
types of landscape irrigation
Percentage 0-1% All non-essential water use for nurseries, public entities, and commercial and industrial
use should cease.

Yes
1 Offer Water Use Surveys Percentage 0-1% Offer water use surveys (offered through MET)
Yes
1 Provide Rebates on
Plumbing Fixtures and
Devices
Percentage 0-1% Provide Rebates on Plumbing Fixtures and Devices (offered through MET)
Yes
1 Provide Rebates for
Landscape Irrigation
Efficiency
Percentage 0-1% Provide Rebates for turf replacement
(offered through MET)
Yes
1 Increase Water Waste
Patrols
Percentage 0-1% Increase water waste patrols Yes
1 Other Percentage 5-10% Other prohibited uses: the city may implement other prohibited water uses as
determined by the City, after notice to
customers.

Yes
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

Plant containers, trees, shrubs, and vegetable
gardens may be watered additional days
using only drip irrigation or hand watering.

Yes
2 Water Features - Restrict
water use for decorative
water features, such as
fountains
Percentage 0-1% Filling or refilling ornamental lakes and ponds is prohibited. Ornamental lakes and ponds
that sustain aquatic life of significant value
and were actively managed prior to the
storage declaration are exempt.

Yes
2 Decrease Line Flushing Percentage 0-1% Decrease Line Flushing Yes 2 Reduce System Water Loss Percentage 0-5% Real loss reduction - Pressure management and more aggressive leak detection and
repair
Yes
2 Pools and Spas - Require
covers for pools and spas
Percentage 0-1% Pools and Spas - Require covers for pools and spas
Yes
2 Pools - Allow filling of
swimming pools only when
an appropriate cover is in
place.

Percentage 0-1% Pools- allow filling of swimming pools only when appropriate cover is in place.

Yes
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

Yes
3 Other water feature or
swimming pool restriction
Percentage 0-1% Decorative water features that use potable water must be drained and kept dry.

Yes
3 Other - Prohibit vehicle
washing except at facilities
using recycled or
recirculating water
Percentage 0-1% Car washing is only permitted using a
commercial carwash that recirculates water
or by high pressure/low volume wash
systems.

Yes
3 Other - Prohibit use of
potable water for
construction and dust
control
Percentage 0-1% Require a construction water use plan be submitted to the water supplier that
addresses how impacts to existing water
users will be mitigated (such as a dust
control)
Yes
3 Landscape - Other
landscape restriction or
prohibition
Percentage 0-1% With the exception of landscapes watered with non-potable water, limit the installation
of new landscaping to drought tolerant trees,
shrubs, and groundcover. Prohibit installation
of new turf.

Yes
2025 WATER SHORTAGE CONTINGENCY PLAN
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Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

Plant containers, trees, shrubs, and vegetable
gardens may be watered additional days
using only drip irrigation or hand watering.

Yes
3 Other Percentage 5-10% Other prohibited uses: the city may implement other prohibited water uses as
determined by the City, after notice to
customers.

Yes
4 Other - Customers must
repair leaks, breaks, and
malfunctions in a timely
manner
Percentage 0-1% Fix leaks or faulty sprinkler promptly/within 2 day(s)
Yes
4 Other water feature or
swimming pool restriction
Percentage 0-1% No new permits for pools will be issued. Yes 4 Landscape - Other
landscape restriction or
prohibition
Percentage 0-1% No new landscape installations or
renovations will be permitted.

Yes
4 Landscape - Prohibit all
landscape irrigation
Percentage 0-1% Previous waivers for watering during
established period will be revoked.

Yes
2025 WATER SHORTAGE CONTINGENCY PLAN
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CITY OF FULLERTON A-9
Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

Plant containers, trees, shrubs, and vegetable
gardens may be watered additional days
using only.

Yes
4 Other Percentage 5-10% Other prohibited uses: the city may implement other prohibited water uses as
determined by the City, after notice to
customers.

Yes
5 Other - Customers must
repair leaks, breaks, and
malfunctions in a timely
manner
Percentage 0-1% Fix leaks or faulty sprinklers within 1 day(s) Yes 5 Other Percentage 0-50% Water for agricultural or commercial nursery purposes, except for livestock watering, is
prohibited. Water use for public health safety
purposes only.

Yes
5 Landscape - Prohibit all
landscape irrigation
Percentage 0-1% All irrigation is prohibited. Yes
5 Landscape - Prohibit certain
types of landscape irrigation
Percentage 0-1% Watering of all golf course areas, parks, school grounds is prohibited, except for rare
plant or animal species.

Yes
2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO
CITY OF FULLERTON A-10
Submittal Table 8-3 Retail: Demand Reduction Actions
Water Code Section 10632(a)(4)(B) and (E)
Yes Is the Supplier completing this table using the standard six levels? (yes/no) Shortage
Level
Demand Reduction Actions
Drop down list
These are the only
categories that will be
accepted by the WUEdata
online submittal tool. Select
those that apply.

How much is this going to reduce the
shortage gap?
Additional Explanation
or Reference
(OPTIONAL)
Penalty, Charge,
or Other
Enforcement?
For Retail
Suppliers Only
Drop Down List
Volume or
Percentage
Drop down
Shortage Gap Reduction
Value
(May be a range)
(AF)
5 Moratorium or Net Zero
Demand Increase on New
Connections
Percentage 0-2% Moratorium or Net Zero Demand Increase on new connections
Yes
6 Other Percentage 0-1% The City may discontinue service to consumers who willfully violate any water
conservation provisions.

Yes
6 Landscape - Prohibit all
landscape irrigation
Percentage 0-5% The City may shut off all non-essential water services. All irrigation is prohibited.

Yes
6 CII - Other CII restriction or
prohibition
Percentage 0-15% Water for commercial, manufacturing, or processing purposes shall be reduced in
volume by up to 50% or exceeded if
necessary for public health and safety
purposes.

Yes
6 Other Percentage 0-70% Water use for public health and safety purposes only. Customer rationing may be
implemented. Other prohibited uses: The City
may implement other prohibited water uses
as determined by the City, after notice to
customers.

Yes
DWR NOTES: Units of measure (AF, CCF, MG) must remain consistent throughout the UWMP as reported in Submittal Table 2-3.

NOTES: Note 1: NFT irrigation requirements begin January 1, 2027 for State and local government properties, January 1, 2028 for commercial, industrial, and institutional owned landscapes, January 1, 2029 for homeowners' associations common area landscapes, and January 1, 2031 for local government properties in disadvantaged communities (DAC).

2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX B FULLERTON MUNICIPAL CODE
CHAPTER 12.06 WATER SUPPLY

SHORTAGE CONSERVATION PLAN

Below is the weblink to the current ordinance (last accessed on April 14, 2026) https://codelibrary.amlegal.com/codes/fullerton/latest/fullerton_ca/0-0-0-6837 2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX C WATER SHORTAGE COMMUNICATION
PLAN

2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX D NOTICE OF PUBLIC HEARING (PENDING)

2025 WATER SHORTAGE CONTINGENCY PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX E ADOPTED WSCP RESOLUTION (PENDING)

2025 URBAN WATER MANAGEMENT PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX G WATER USE EFFICIENCY

IMPLEMENTATION REPORT

Program
Program
Start Date
Retrofits
Installed in Interventions
Water
Savings Interventions
Water
Savings Interventions
Annual Water
Savings[4]
Cumulative
Water
Savings[4]
High Efficiency Clothes Washer Program 2002 October-25 82 0.22 350 2.28 131,459 4,312 64,060 High Efficiency Toilet (HET) Program 2005 October-25 17 0.06 65 2.76 62,010 2,292 32,257 Flow Monitoring Devices (FMD) Program 2021 October-25 10 0.04 39 0.37 1,045 52.25 158.24 Commercial Plumbing Fixture Rebate
Program 2002 October-25 3 0.05 164 1.07 119,829 5,295 89,451 Water Savings Incentive Program (WSIP) 2006 October-25 0 0.00 1 16.47 51 1,286 11,460 Turf Replacement Program[3] 2010 October-25 5,929 0.07 424,613 15.01 29,979,610 4,049 51,438 Landscape Design Rebate Program (formerly
LDAP) 2019 October-25 4 - 15 - 1,181 - - Tree Rebate Program 2024 October-25 38 - 200 - 461 - - Spray-to-Drip Program[3] 2014 October-25 9,687 0.11 410,712 11.50 5,740,148 779 2,295 Smart Timer Program - Irrigation Timers 2004 October-25 63 0.88 426 16.60 36,100 9,152 96,656 Rotating Nozzles Rebate Program 2007 October-25 103 0.41 297 1.12 586,364 2,891 28,030 Rain Barrels Rebate Program 2013 October-25 2 0.00 8 0.00 9,077 17 162 Recycled Water Retrofit (ORP) 2015 October-25 0 0.00 0 0.00 194 3,901 32,806 Water Smart Landscape Program [1] 1997 12,677 10,621 72,668 Home Water Certification Program 2013 312 7.339 15.266
Synthetic Turf Rebate Program 2007 685,438 96 469 Ultra-Low-Flush-Toilet Programs [2] 1992 363,926 13,452 162,561 Home Water Surveys [2] 1995 11,867 160 1,708 Showerhead Replacements [2] 1991 270,604 1,667 19,083 Total Water Savings All Programs 2 836,890 67 38,012,352 60,029 665,276 (1) Water Smart Landscape Program participation is based on the number of water meters receiving monthly Irrigation Performance Reports. (2) Cumulative Water Savings Program To Date totals are from a previous Water Use Efficiency Program Effort. (3) Turf Replacement and Spray-to-Drip Interventions are listed as square feet. [4] Cumulative & annual water savings represents both active program savings and passive savings that continues to be realized due to plumbing code changes over time.

Retrofits and Acre-Feet Water Savings for Program Activity Orange County
Water Use Efficiency Programs Savings
and Implementation Report
Month Indicated Current Fiscal Year Overall Program
Prepared by Municipal Wate r District of Orange County
Agency FY21/22 FY22/23 FY23/24 FY24/25 FY25/26 Total
Current FY
Water Savings
Ac/Ft
(Cumulative)
Cumulative
Water Savings
across all Fiscal
Years
15 yr.

Lifecycle
Savings
Ac/Ft
Brea 33 29 25 17 9 2,174 1.54 1,068.10 1,125 Buena Park 36 39 17 11 3 1,803 1.08 828.16 933 East Orange 4 3 4 - - 214 0.22 111.44 111 El Toro 29 30 34 23 7 1,804 2.11 846.36 933 Fountain Valley 22 26 35 26 5 2,671 2.10 1,375.79 1,382 Garden Grove 69 56 43 33 8 4,092 2.67 1,989.00 2,117 Golden State 97 93 88 43 15 5,834 5.43 2,784.80 3,019 Huntington Beach 83 69 89 59 21 9,075 5.61 4,808.55 4,696 Irvine Ranch 473 373 308 265 75 29,229 18.97 13,273.38 15,124 La Habra 35 31 27 20 6 1,652 1.70 736.32 855 La Palma 10 3 11 6 2 530 0.66 241.21 274 Laguna Beach 17 9 11 13 4 1,065 0.72 557.57 551 Mesa Water 31 30 32 40 10 2,891 1.94 1,462.13 1,496 Moulton Niguel 255 205 191 177 59 12,404 12.01 5,662.74 6,418 Newport Beach 22 27 27 18 2 2,873 1.78 1,557.19 1,487 Orange 49 45 42 26 5 4,342 2.55 2,263.71 2,247 San Clemente 43 34 53 28 12 3,069 3.35 1,519.74 1,588 Santa Margarita 220 212 196 186 38 11,406 11.98 5,311.29 5,902 Seal Beach 7 10 9 3 - 691 0.61 345.43 358 Serrano 3 3 3 4 - 391 0.18 212.22 202 South Coast 24 24 22 11 7 1,795 1.31 922.50 929 Trabuco Canyon 15 19 10 18 2 922 0.66 456.76 477 Tustin 31 33 27 14 2 1,894 1.69 943.74 980 Westminster 40 34 27 30 7 2,948 1.67 1,476.05 1,525 Yorba Linda 52 52 42 26 8 4,176 2.62 2,175.21 2,161 MWDOC Totals 1,705 1,489 1,373 1,097 307 111,525 85.17 53,750.16 21,546 Anaheim 135 147 121 79 23 11,818 7.59 6,491.59 6,115 Fullerton 66 70 51 39 12 4,324 3.34 2,127.38 2,237 Santa Ana 167 104 40 47 8 3,792 2.59 1,690.71 1,962 Non-MWDOC Totals 368 321 212 165 43 19,934 13.51 10,309.68 3,851 Orange County Totals 2,073 1,810 1,585 1,262 350 131,459 98.68 64,059.84 25,397 [1]Totals include hidden rows for agencies that no longer exist HIGH EFFICIENCY CLOTHES WASHERS INSTALLED BY AGENCY[1]
through MWDOC and Local Agency Conservation Programs
Prepared by the Municipal Wate r District of Orange County Agency FY 21-22 FY 22-23 FY 23-2 4 FY 24-25 FY 25-26 Total Cumulative Water
Savings across all
Fiscal Years
B r e a 02620 470 214.63
Buena Park 5 0 114 3 0 813 367.71
E a s t O r a n g e 02000 91 43.15
E l T o r o 21000 2,063 1,050.49
F o u n t a i n V a l l e y 13610 848 457.34
Garden Grove 1 4 17 4 0 1,524 794.96
Golden State 3 18 27 12 0 2,882 1,480.89
Huntington Beach 3 0 3 0 0 2,928 1,443.94
I r v i n e R a n c h 3 02 22 11 1 5 17,508 9,741.86
Laguna Beach 0 0 3 2 0 403 202.75
L a H a b r a 06101 602 342.64
L a P a l m a 00310 235 115.46
M e s a W a t e r 00020 1,645 999.67
Moulton Niguel 10 7 2 6 3 5,814 2,577.25
Newport Beach 3 0 1 0 1 739 364.73
O r a n g e 21 2 430 2,234 1,079.13
San Clemente 4 6 2 1 0 907 447.42
Santa Margarita 18 9 10 4 0 3,437 1,519.23
Seal Beach 1 0 0 0 0 858 604.21
S e r r a n o 00000 124 55.20
South Coast 4 3 0 5 0 1,042 486.41
Trabuco Canyon 5 1 4 0 0 366 153.94
T u s t i n 02030 1,530 914.42
W e s t m i n s t e r 0 1 1930 1,362 746.57
Yorba Linda 0 5 0 0 0 1,272 658.81
MWDOC Totals 95 103 253 63 10 52,235 27,117.06
Anaheim 3 33 331 74 52 6,404 3,465.63
Fullerton 5 11 35 5 3 1,142 547.48
Santa Ana 5 3 117 66 0 2,229 1,127.05
Non-MWDOC Totals 13 47 483 145 55 9,775 5,140.16
Orange County Totals 108 150 736 208 65 62,010 32,257.22 [1]Totals include hidden rows for agencies that no longer exist HIGH EFFICIENCY TOILETS (HETs) INSTALLED BY AGENCY[1]
through MWDOC and Local Agency Conservation Programs
Prepared by Municipal Water District of Orange County
Agency FY 21/22 FY 22/23 FY 23/24 FY 24/25 FY 25/26 Total Program
Cumulative
Water Savings
across all
Fiscal Years
Brea 2 3 1 3 11 0 1.00
Buena Park 0000 11 0.02
East Orange 0 0 0 0 00 -
El Toro 0 0 0 0 00 -
Fountain Valley 1 0 0 2 03 0.30
Garden Grove 0 0 0 0 00 -
Golden State 375 1 1 0 0 377 78.33
Huntington Beach 0 0 0 6 06 0.42
Irvine Ranch 4 3 3 23 53 8 2.83
La Habra 0 0 0 1 01 0.07
La Palma 0 0 0 0 00 -
Laguna Beach 0 0 0 4 04 0.32
Mesa Water 0 1 1 5 07 0.26
Moulton Niguel 0 0 0 0 00 -
Newport Beach 0 0 1 1 13 0.17
Orange 3 7 5 9 02 4 2.40
San Clemente 0 0 0 3 25 0.13
Santa Margarita 122 38 129 78 16 383 44.67 Seal Beach 0 3 1 1 05 0.46
Serrano 0 1 1 1 03 0.24
South Coast 103 2 0 0 3 108 21.75
Trabuco Canyon 0 0 0 0 00 -
Tustin 0 0 0 2 13 0.08
Westminster 0 0 0 0 00 -
Yorba Linda 0 0 1 4 05 0.22
MWDOC Totals 610 59 144 143 30 986 153.65
Anaheim 0 3 2 6 61 7 1.03
Fullerton 3 12 8 16 34 2 3.56
Santa Ana 0 0 0 0 00 -
N o n - M W D O C T o t a l s 31 51 02 2 95 9 4.58
Orange County Totals 613 74 154 165 39 1,045 158.24

FLOW MONITORING DEVICES INSTALLED BY AGENCY
through MWDOC and Local Agency Conservation Programs
B r e a 00 1 3 800 1,973 1,214
Buena Park 0 0 48 0 164 2,844 2,403
East Orange CWD RZ 0 0 0 0 0 0 0
El Toro WD 0 136 0 0 0 2,652 1,397
Fountain Valley 0 0 0 0 0 2,165 1,424
Garden Grove 574 0 209 0 0 3,976 3,214
G o l d e n S t a t e W C 00000 3,124 3,664
Huntington Beach 235 0 280 0 0 3,957 3,441
Irvine Ranch WD 2 644 0 0 0 31,128 18,724
La Habra 0 0 0 0 0 984 1,093
La Palma 0 0 0 113 0 788 361
Laguna Beach CWD 0 0 0 0 0 446 589
Mesa Water 0 251 18 161 0 4,815 4,307
Moulton Niguel WD 0 414 241 0 0 7,594 3,430
Newport Beach 0 0 0 3 0 3,449 2,974
Orange 0 359 151 0 0 6,915 4,174
San Clemente 0 0 0 0 0 753 747
Santa Margarita WD 0 212 0 112 0 2,571 949
Seal Beach 0 0 0 0 0 816 841
S e r r a n o W D 00000 0 0
South Coast WD 0 154 0 0 0 1,474 1,147
T r a b u c o C a n y o n W D 00000 11 27
T u s t i n 04 18 8 0 0 2,195 1,846
Westminster 0 190 59 0 0 1,850 1,986
Yorba Linda 1 0 0 0 0 1,017 1,144
MWDOC Totals 812 2,401 1,232 389 164 87,757 61,763
Anaheim 0 648 175 1,194 0 19,067 14,636
Fullerton 0 331 839 3 0 4,965 3,707
Santa Ana 72 30 26 600 0 8,040 9,344
Non-MWDOC Totals 72 1,009 1,040 1,797 0 32,072 27,688
Orange County Totals 884 3,410 2,272 2,186 164 119,829 89,451 [2]Totals include hidden rows for agencies that no longer exist [1] Retrofit devices include ULF Toilets and Urinals, High Efficiency Toilets and Urinals, Multi-Family and Multi-Family 4-Liter HETs, Zero Water Urinals, High Efficiency Clothes Washers, Cooling Tower Conductivity Controllers, Ph Cooling Tower Conductivity Controllers, Flush Valve Retrofit Kits, Pre-rinse Spray heads, Hospital X-Ray Processor Recirculating Systems, Steam Sterilizers, Food Steamers, Water Pressurized Brooms, Laminar Flow Restrictors, and Ice Making Machines. through MWDOC and Local Agency Conservation Programs
COMMERCIAL PLUMBING FIXTURES INSTALLED BY AGENCY[1][2]
Agency
Cumulative Water
Savings across all
Fiscal Years
FY
25/26 TotalsFY
21/22
FY
22/23
FY
23/24
FY
24/25
Prepared by the Municipal Wa ter District of Orange County Agency FY 21/22 FY 22/23 FY 23/2 4 FY 24/25 FY 25/26 Totals Cumulative Water Savings
B r e a 0000 0 0 0
Buena Park 0 0 0 0 0 2 911
East Orange 0 0 0 0 0 0 0
E l T o r o 0000 0 1 6 2
Fountain Valley 0 0 0 0 0 1 197
Garden Grove 0 0 0 0 0 2 26
Golden State 0 0 0 0 0 2 379
Huntington Beach 0 0 0 0 0 6 1,893
Irvine Ranch 0 1 10 0 1 24 1,724
La Habra 0 0 0 0 0 1 3
La Palma 0 0 0 0 0 0 0
Laguna Beach 0 0 0 0 0 0 0
M e s a W a t e r 0000 0 0 0
Moulton Niguel 0 0 0 0 0 0 0
Newport Beach 0 0 0 1 0 2 229
Orange 0 0 0 0 0 5 1,223
San Clemente 0 0 0 0 0 0 0
Santa Margarita 0 0 0 0 0 0 0
Seal Beach 0 0 0 0 0 0 0
S e r r a n o 0000 0 0 0
South Coast 0 0 0 0 0 2 1,148
Trabuco Canyon 0 0 0 0 0 0 0
T u s t i n 0000 0 0 0
Westminster 0 0 0 0 0 1 715
Yorba Linda 0 0 0 0 0 0 0
MWDOC Totals 0 1 10 1 1 49 8,509
Anaheim 0 0 0 0 0 0 0
Fullerton 0 0 0 0 0 1 1,587
Santa Ana 0 0 0 0 0 1 1,363
Non-MWDOC Totals 0 0 0 0 0 2 2,951
Orange County Totals 0 1 10 1 1 51 11,460
[1] Acre feet of savings determined during a one year monitoring period.

If monitoring data is not available, the savings estimated in agreement is used.

WATER SAVINGS INCENTIVE PROJECTS BY AGENCY
through MWDOC and Local Agency Conservation Programs
Res. Comm. Res. Comm. Res. Comm. Res. Comm. Res. Comm. Res Comm.

Brea 6,066 0 13,979 6,598 8,997 40,459 930 32,570 1,230 0 267,328 601,425 1,704 Buena Park 3,094 0 14,435 0 9,798 54,144 2,085 71,385 1,112 0 138,788 143,645 285 East Orange 5,000 0 12,116 7,914 2,589 0 0 0 0 0 67,825 7,914 126 El Toro 3,153 2,379 18,364 7,739 8,780 31,396 1,270 43,948 435 0 180,991 667,721 1,572 Fountain Valley 14,031 0 11,871 3,260 11,427 1,394 7,329 7,739 1,343 0 185,953 74,817 399 Garden Grove 1,228 0 16,756 0 17,356 0 3,967 0 0 32,614 327,228 150,017 786 Golden State 0 0 2,614 0 3,716 603 9,977 1,044 3,027 0 601,236 396,514 2,092 Huntington Beach 32,411 19,914 44,842 89,264 29,038 64,199 20,037 72,389 4,407 0 723,943 721,928 2,373 Irvine Ranch 20,397 54,418 72,550 399,559 32,342 332,433 28,573 288,486 6,975 44,002 1,651,243 4,606,441 10,864 La Habra 4,183 3,263 15,254 6,654 13,062 65,496 5,980 0 0 0 119,162 165,432 298 L a P a l m a 0000000000 15,141 59,760 207 Laguna Beach 2,905 0 5,702 0 1,161 0 723 0 0 0 87,378 48,788 307 Mesa Water 29,375 0 34,191 55,661 21,321 97,512 11,922 86,176 1,035 8,804 549,482 592,182 1,505 Moulton Niguel 37,648 115,313 59,372 394,839 29,606 311,146 23,335 128,512 11,919 118,880 1,928,474 4,125,941 10,503 Newport Beach 823 99,613 6,247 24,470 7,118 37,101 3,461 13,099 0 0 147,127 722,282 1,458 Orange 22,783 2,816 50,016 102,170 41,474 8,807 12,794 66,221 8,260 0 640,919 580,790 2,184 San Clemente 6,466 67,354 15,942 156,022 11,950 17,008 1,380 107,624 748 3,652 458,425 889,650 2,290 Santa Margarita 8,694 41,534 44,083 132,194 23,349 65,782 15,718 175,702 2,334 87,539 1,009,793 1,805,341 4,979 Seal Beach 4,226 0 2,901 0 627 13,614 0 4,427 0 0 47,654 38,418 123 S e r r a n o 00 7 , 1 8 30000000 190,123 4,403 449 South Coast 1,409 76,798 7,575 85,956 3,937 67,910 3,325 69,866 0 55,315 352,560 949,239 2,201 Trabuco Canyon 6,817 50,000 5,379 106,068 3,459 50,000 2,244 0 1,864 0 100,720 366,313 547 Tustin 21,688 5,698 36,476 0 28,841 16,386 12,632 0 4,958 1,226 488,951 84,639 969 Westminster 4,614 0 8,042 0 10,392 4,932 9,036 14,932 0 0 148,122 78,397 374 Yorba Linda 6,529 10,068 25,784 50,488 15,576 36,482 4,691 57,084 1,646 21,288 581,139 320,813 1,566 MWDOC Totals 243,540 549,168 531,674 1,628,856 335,916 1,316,804 181,409 1,241,204 51,293 373,320 11,375,120 18,595,276 51,423 A n a h e i m 0000000000 00 - F u l l e r t o n 0000000000 0 9,214 15 S a n t a A n a 0000000000 00 - N o n - M W D O C T o t a l s0000000000 0 9 , 2 1 4 1 5 Orange County Totals 243,540 549,168 531,674 1,628,856 335,916 1,316,804 181,409 1,241,204 51,293 373,320 11,375,120 18,604,490 51,438 [2]Totals include hidden rows for agencies that no longer exist [1]Installed device numbers are listed as square feet
TURF REPLACEMENT BY AGENCY[1][2]
through MWDOC and Local Agency Conservation Programs
Cumulative Water
Savings across all
Fiscal Years
Agency
Total ProgramFY 25/26FY 22/23FY 21/22 FY 23/24 FY 24/25

LDAP LMAP LDAP LMAP LDAP LMAP LDAP LMAP LDAP LMAP LDAP LMAP B r e a 32 1 02110000 20 8
Buena Park 5 1 5 2 1 11000 17 6
E a s t O r a n g e 1120000000 41
E l T o r o 1 1066410010 35 9
Fountain Valley 8 4 13 3 5 40000 43 12
G a r d e n G r o v e 60 1 12211000 20 3
Golden State 0 0 2 1 3 11000 62
H u n t i n g t o n B e a c h 3 8 1 8 3 4 1 9953000 130 59 Irvine Ranch 40 8 16 16 4 15 8 0 2 0 92 53
L a H a b r a 7083001000 27 4
L a P a l m a 0000000000 00
Laguna Beach 1 0 2 0 0 00000 30
M e s a W a t e r 1 46 1 8 1 1460000 63 32
Moulton Niguel 25 5 11 14 1 6 10 0 7 0 71 41
N e w p o r t B e a c h 3062021000 13 5
O r a n g e 2 23 2 26 1 060020 76 20
S a n C l e m e n t e 4141040000 13 11
S a n t a M a r g a r i t a 1 14 1 9 1 2465010 71 33
S e a l B e a c h 1133010000 79
S e r r a n o 0000000000 10
S o u t h C o a s t 4021121000 13 5
T r a b u c o C a n y o n 4043001000 13 7
T u s t i n 1 03 1 25241020 54 16
W e s t m i n s t e r 6142100000 17 4
Y o r b a L i n d a 8166030000 21 11
MWDOC Totals 232 59 220 120 52 69 34 0 15 0 830 351
Anaheim 0 0 0 0 0 0 0 0 0000
F u l l e r t o n 00000000 0000
S a n t a A n a 00000000 0000
N o n - M W D O C T o t a l s 000000000000
Orange County Totals 232 59 220 120 52 69 34 - 15 - 830 351

LANDSCAPE DESIGN REBATE PROGRAM BY AGENCY
through MWDOC and Local Agency Conservation Programs
Agency
FY21/22 FY22/23 Total ProgramFY23/24 FY24/25 FY25/26
Prepared by the Municipal Water District of Orange County FY23/24 FY24/25 FY25/26 Total
Program
Trees Trees Trees Trees
July 0 9 36 45
August 0 15 60 75
September 0 18 44 62
October 0 9 22 31
November 0 17 38 55
December 0 28 0 28
January 0 23 0 23
February 0 24 0 24
March 0 18 0 18
April 0 24 0 24
May 0 33 0 33
June 3 40 0 43
Orange County Totals 3 258 200 461

TREE REBATE PROGRAM BY MONTH
through MWDOC and Local Agency Conservation
Programs
Month
Prepared by the Municipal Wate r District of Orange County Res. Comm. Res. Comm. Res. Comm. Res. Comm. Res. Comm. Res Comm.

Brea 949 0 9,294 7,830 9,289 29,866 1,097 0 1,361 0 26,114 68,529 51.25 Buena Park 354 3,365 2,921 0 4,103 18,548 1,296 12,504 0 0 10,263 38,231 13.24 East Orange 5,000 0 6,314 0 0 0 0 0 0 0 11,314 0 5.17
El Toro 1,175 0 11,911 7,939 4,185 1,761 0 8,735 3,499 13,831 25,354 101,149 78.93 Fountain Valley 10,271 0 2,275 0 7,357 2,506 4,472 6,093 492 0 30,066 29,455 31.20 G a r d e n G r o v e 0000000000 2 , 1 2 5 0 3.08
Golden State 0 0 2,905 0 6,812 0 10,057 0 867 0 21,641 0 6.22 Huntington Beach 17,600 0 22,073 58,877 16,370 42,300 7,505 98,964 674 0 82,246 214,933 79.59 Irvine Ranch 14,046 30,118 50,139 208,019 25,863 432,567 41,127 365,869 16,987 92,888 197,601 1,384,354 492.74 La Habra 3,343 1,447 8,236 5,779 11,730 46,659 10,643 0 0 0 36,973 53,885 24.62 L a P a l m a 0000000000 0 0 0.00
Laguna Beach 2,426 0 4,065 0 1,204 0 0 0 0 0 12,494 0 8.97 Mesa Water 13,073 7,972 22,386 49,775 15,877 32,313 5,050 17,021 0 20,132 81,353 139,657 76.00 Moulton Niguel 0 66,612 0 144,223 0 258,353 0 103,990 0 74,445 15,125 973,871 478.88 Newport Beach 457 49,456 6,573 5,845 6,890 21,725 3,247 0 0 0 20,563 129,270 88.70 Orange 6,426 72,290 27,414 28,224 42,171 0 9,702 43,373 5,938 50,000 101,247 207,039 87.39 San Clemente 3,135 45,000 7,612 15,368 11,314 45,172 0 12,231 0 0 31,775 126,276 54.30 Santa Margarita 655 72,052 32,804 138,469 15,638 18,306 15,903 192,177 628 64,065 131,878 726,424 443.61 Seal Beach 0 0 3,509 0 0 3,623 0 16,280 0 0 3,509 19,903 4.06 S e r r a n o 00 2 , 1 8 30000000 5 , 4 8 7 0 4.88
South Coast 0 130,495 10,339 11,560 2,166 2,490 2,653 16,832 0 27,076 22,571 253,609 129.29 Trabuco Canyon 0 0 997 0 1,881 0 0 0 2,050 0 6,676 0 1.91 Tustin 19,787 5,305 24,575 0 15,977 0 15,884 1,397 1,786 1,977 97,646 14,140 50.60 Westminster 0 0 1,557 0 7,383 437 2,014 18,162 0 0 12,737 33,938 22.84 Yorba Linda 3,772 15,982 12,413 48,824 11,705 46,606 758 54,499 1,289 30,727 35,839 200,763 54.35 MWDOC Totals 102,469 500,094 272,495 730,732 217,915 1,003,232 131,408 968,127 35,571 375,141 1,024,722 4,715,426 2,294.69 A n a h e i m 0000000000 0 0 0
F u l l e r t o n 0000000000 0 0 0
S a n t a A n a 0000000000 0 0 0
N o n - M W D O C T o t a l s0000000000 0 0 0
Orange County Totals 102,469 500,094 272,495 730,732 217,915 1,003,232 131,408 968,127 35,571 375,141 1,024,722 4,715,426 2,294.69 [2]Totals include hidden rows for agencies that no longer exist SPRAY-TO-DRIP BY AGENCY[1][2]
through MWDOC and Local Agency Conservation Programs
Cumulative Water
Savings across all
Fiscal Years
[1]Installed device numbers are listed as square feet
FY 22/23FY 21/22 Total Program
Agency
FY 23/24 FY 24/25 FY 25/26
Large Large Large Large Large Large Large
Comm. Res Comm. Comm. Res Comm. Comm. Res Comm. Comm. Res Comm. Comm. Res Comm. Comm. Res Comm. Comm.

Brea 0000 4 700 1 5000 1 , 1 3 00000 6 3 4 3 , 8 7 90 109.84 Buena Park 0000000000 1 500000 5 7 3 1 7 3 2 , 5 3 5 1,090.25 East Orange 0000000000000000 7 8 1 00 29.82 El Toro 00000000 1 , 9 1 90000000 3 , 4 3 5 4 8 , 1 4 1 8 9 0 2,049.60 Fountain Valley 0 3 600000000 7 500000 1 , 0 3 0 2 8 30 38.09 Garden Grove 0000000000 6 000000 1 , 1 1 7 2 9 90 52.49 Golden State 0000 1 500000 1 0 900 1 500 3 , 8 9 6 1 1 , 0 8 00 476.69 Huntington Beach 0000 7 900 7 200 9 800000 4 , 1 5 4 1 2 , 5 2 6 2 , 6 8 1 1,843.84 Irvine Ranch 0 462 0 0 196 0 0 411 195 0 309 0 0 42 0 0 49,708 94,541 2,004 6,851.52 La Habra 0000 1 500 1 500000000 5 4 2 1 , 2 3 6 9 0 0 485.01 La Palma 0000 1 500 1 800000000 1 2 2 2 , 8 9 00 80.50 Laguna Beach 0000000000000000 1 2 , 1 3 9 2 , 8 9 60 518.51 Mesa Water 0000 2 100000000000 2 , 1 3 7 3 8 5 3 4 3 265.61 Moulton Niguel 0 3 0 000 1 3 1 4 2 1 1 , 2 7 0 4 6 300 9 900000 1 5 , 5 1 5 2 0 , 9 7 4 4 , 2 1 5 2,567.99 Newport Beach 0000000000000000 4 6 , 7 2 3 2 1 , 4 1 30 2,507.21 Orange 0000 1 8 400 9 600 3 800000 3 , 6 1 5 1 , 0 7 20 173.66 San Clemente 0 8 0000 2 1 000 1 7 000 2 3 00 2 000 1 0 , 3 1 4 8 , 1 4 8 1 , 3 4 3 1,178.27 Santa Margarita 0 132 0 0 197 0 0 353 495 0 168 0 0 90 0 0 17,618 7,416 611 1,212.58 Seal Beach 0000000000000000 1 5 5 1 0 , 2 9 80 325.45 Serrano 0000000000000000 3 , 4 0 5 00 139.43 South Coast 0000 6 9 5 1 000 4 8 000 4 4 00000 8 , 1 9 9 2 0 , 3 0 00 899.76 Trabuco Canyon 0 5 000 2 000000000 1 3 000 2 , 2 8 6 5 , 1 3 00 247.96 Tustin 0000000 4 200 7 500000 3 , 6 5 0 1 , 0 5 80 182.14 Westminster 0000000000000000 5 5 6 00 19.87 Yorba Linda 0 9 500 1 600 6 300000000 6 , 2 8 9 4 , 3 5 9 5 0 0 656.84 MWDOC Totals 0 1,155 0 0 1,005 1,141 1,270 1,548 3,2 59 0 1,046 1,800 0 297 0 0 204,008 288,986 16,022 24,665.22 Anaheim 0 1 4 700 3 300000 5 400000 4 , 3 2 7 4 9 , 7 9 9 1 0 5 2,073.59 Fullerton 0 1 3 100 1 5 200 6 6000000 5 30 3 , 5 3 4 1 1 , 3 6 2 1 , 4 8 4 1,065.03 Santa Ana 0 5 000 4 200000000000 9 8 5 5 , 7 5 20 225.86 Non-MWDOC Totals 0 3 2 800 2 2 700 6 600 5 4000 5 30 8,846 66,913 1,589 3,364.47 Orange County Totals 0 1,483 0 0 1,232 1,141 1,270 1,614 3,259 0 1,100 1,800 0 297 53 0 212,854 355,899 17,611 28,029.69 [1]Totals include hidden rows for agencies that no longer exist ROTATING NOZZLES INSTALLED BY AGENCY[1]
through MWDOC and Local Agency Conservation Programs
Agency
Total Program Cumulative Water
Savings
across all Fiscal
Years
FY 21/22
Small
FY 22/23
Small Small
FY 20/21 FY 23/24 FY 24/25 FY 25/26
Small Small Small
Prepared by Municipal Water District of Orange County
Res Comm Res Comm Res Comm Res Comm Res Comm Res Comm.

Brea 25 4 18 0 18 8 16 0 4 0 357 92 1,003.86
Buena Park 10 2 13 0 39 1 16 0 4 0 195 56 454.27
East Orange 40 00 1 00 40 005 6 1 8 6 . 3 7
El Toro 23 1 21 77 18 175 10 178 6 0 305 794 4,218.01
Fountain Valley 24 6 28 0 13 0 24 0 1 0 324 60 554.60
Garden Grove 15 5 28 6 23 1 15 0 6 0 305 55 483.89
Golden State 65 16 63 0 68 2 35 0 10 0 807 231 2,084.63 Huntington Beach 52 18 78 2 72 20 47 8 22 5 864 439 3,182.51 Irvine Ranch 320 104 257 223 319 4 240 87 67 38 5,359 3,175 25,547.63 La Habra 11 1 13 0 7 5 14 1 4 0 153 52 460.42
La Palma 60 50 80 30 106 5 2 3 6 . 2 9
Laguna Beach 5 2 9 0 10 0 5 1 4 0 575 23 575.95
Mesa Water 18 4 25 14 28 8 11 0 4 0 548 240 1,945.71
Moulton Niguel 381 104 156 38 121 91 72 71 30 15 3,185 1,340 9,404.64 Newport Beach 16 21 9 15 14 16 13 0 1 0 1,163 505 5,146.92 Orange 39 12 47 0 53 16 28 0 16 1 816 250 2,240.71
San Clemente 14 41 29 1 28 19 14 16 8 3 1,289 541 5,310.62 Santa Margarita 184 75 177 12 283 35 244 5 73 29 3,059 1,992 15,163.25 Seal Beach 50 30 80 60 105 78 7 6 0 9 . 1 1
Serrano 7 1 1 0 03 06 03 0 1 0 73 6 1 . 8 7
South Coast 5 1 11 8 9 1 9 13 6 5 358 252 2,307.32
Trabuco Canyon 17 2 18 0 21 0 11 0 1 0 297 159 1,751.55 Tustin 29 5 41 0 27 0 25 2 6 0 427 88 860.58
Westminster 11 0 17 0 18 0 7 0 2 0 203 44 471.20
Yorba Linda 85 16 64 1 45 7 61 0 16 0 996 235 2,150.89
MWDOC Totals 1,380 446 1,140 397 1,263 409 936 382 296 96 22,185 10,861 87,530.56 Anaheim 74 19 83 1 82 0 69 2 18 0 1,066 581 5,461.90
Fullerton 50 17 42 0 59 0 24 13 10 0 660 239 2,111.68
Santa Ana 18 2 15 0 24 6 13 0 6 0 251 257 1,552.14
Non-MWDOC Totals 142 38 140 1 165 6 106 15 34 0 1977 1077 9,125.71 Orange County Totals 1,522 484 1,280 398 1,428 415 1,042 397 330 96 24,162 11,938 96,656 [1]Totals include hidden rows for agencies that no longer exist SMART TIMERS INSTALLED BY AGENCY[1]
through MWDOC and Local Agency Conservation Programs
Cumulative
Water Savings
across all Fiscal
Years
Total ProgramFY21/22 FY22/23 FY23/24 FY24/25 FY25/26
Agency
Prepared by the Municipal Water District of Orange County Agency FY 21/22 FY 22/23 FY 23/24 FY 24/25 FY 25/26 Total Program
Cumulative
Water Savings
across all
Fiscal Years
Brea 02040 9 5 1.66
Buena Park 10200 2 0 1 3.61
East Orange 13020 5 0 0.84
El Toro 30210 1 2 5 2.13
Fountain Valley 2 1 0510 4 2 1 7.37
Garden Grove 7 8 10 3 0 393 6.79
Golden State 2 1 9920 5 7 3 9.91
Huntington Beach 6 1 4951 1 , 2 6 1 23.92 Irvine Ranch 14 18 25 15 2 1,135 19.57
La Habra 1 1 0110 8 6 1.47
La Palma 20200 1 2 0.17
Laguna Beach 54000 4 5 9 9.07
Mesa Water 46330 3 8 4 6.87
Moulton Niguel 10 15 12 2 0 468 8.05
Newport Beach 02100 7 8 1.35
Orange 6 5 11 3 1 421 7.36
San Clemente 56400 1 8 9 3.37
Santa Margarita 49470 3 8 9 6.85
Santiago 000000 -
Seal Beach 02000 7 3 1.39
Serrano 20000 4 2 0.77
South Coast 20020 1 8 8 3.61
Trabuco Canyon 13010 6 4 1.13
Tustin 28400 2 6 8 4.70
Westminster 0 7 17 1 0 298 4.61
Yorba Linda 08603 2 5 0 4.40
MWDOC Totals 80 159 127 53 7 8,218 146.53
Anaheim 38540 3 4 0 5.90
Fullerton 06440 2 4 4 4.29
Santa Ana 09551 2 7 4 4.79
Non-MWDOC Totals 3 23 14 13 1 858 14.98
Orange County Totals 83 182 141 66 8 9,076 161.51
[1]Totals include hidden rows for agencies that no longer exist RAIN BARRELS INSTALLED BY AGENCY[1]
through MWDOC and Local Agency Conservation Programs
Agency FY 21-22 FY 22-23 FY 23-2 4 FY 24-25 FY 25-26 Total Cumulative Water Savings across all
Fiscal Years
B r e a 00000 00
B u e n a P a r k 00000 00
East Orange CWD 0 0 0 0 0 00
E l T o r o W D 40000 47 10,651
Fountain Valley 0 0 0 0 0 00
Garden Grove 0 0 0 0 0 00
Golden State WC 0 0 0 0 0 00
Huntington Beach 0 0 0 0 0 00
Irvine Ranch WD 0 1 1 1 0 13 2,735
La Habra 0 0 0 0 0 00
La Palma 0 0 0 0 0 00
Laguna Beach CWD 0 0 0 0 0 00
M e s a W a t e r 00000 1 322
Moulton Niguel WD 0 0 0 2 0 44 1,131
Newport Beach 0 0 0 0 0 11 , 3 0 1
O r a n g e 00000 00
San Clemente 0 0 0 0 0 23 7,172
S a n t a M a r g a r i t a W D 01100 37 4,495
Seal Beach 0 0 0 0 0 00
S e r r a n o W D 00000 00
S o u t h C o a s t W D 01310 19 1,909
Trabuco Canyon WD 0 0 0 0 0 12 , 2 9 7
T u s t i n 00000 00
Westminster 0 0 0 0 0 00
Yorba Linda WD 0 0 0 0 0 00
MWDOC Totals 43540 193 32,420
Anaheim 0 0 0 0 0 1 386
Fullerton 0 0 0 0 0 00
S a n t a A n a 00000 00
Non-MWDOC Totals 00000 1 386
Orange County Totals 4 3 5 4 0 194 32,806

RECYCLED WATER ON-SITE RETROFITS BY AGENCY
through MWDOC and Local Agency Conservation Programs
2025 URBAN WATER MANAGEMENT PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON
APPENDIX H 2025 ORANGE COUNTY WATER DEMAND

MODEL TECHNICAL MEMORANDUM

Hazen and Sawyer
11260 El Camino Real, Suite 102
San Diego, CA 92130 • 858.764.5520

2025 Orange County Water
Demand Projection Model
Technical Memorandum

December 30, 2025

2025 Orange County Water Demand Projection Model

1 Table of Contents

Table of Figures .............................................................................................................................. 1 Table of Tables ............................................................................................................................... 2 List of Modeling Terms .................................................................................................................. 3 List of Acronyms ............................................................................................................................ 4 Executive Summary ........................................................................................................................ 5 Econometric Approach and Data Acquisition................................................................ 5 Econometric Model Development ................................................................................. 7 Baseline Forecast ........................................................................................................... 8 Alternative Forecasts and UWMP Scenarios ............................................................... 10

1. Introduction ........................................................................................................................... 1-1

2. Historical Data Collection and Review ................................................................................ 2-1

2.1.1 Standardized Agency Billing Sectors.............................................................. 2-3

2.1.2 Standardized Agency Rate of Use................................................................... 2-4

2.1.3 Development of Retail Agency Driver Units .................................................. 2-5

2.1.4 Residential Housing Units .............................................................................. 2-6

2.1.5 CII Jobs ........................................................................................................... 2-7

2.1.6 Historical Weather Data ................................................................................ 2-10

2.1.7 Water Price .................................................................................................... 2-11

2.1.8 Economic Indices .......................................................................................... 2-11

2.1.9 Median Household Income ........................................................................... 2-12

2.1.10 Mix of Industries ........................................................................................... 2-13

2.1.11 Housing Density ............................................................................................ 2-14

2.1.12 Persons per Household .................................................................................. 2-16

2.1.13 Households Per Account ............................................................................... 2-17

2.1.14 Conservation ................................................................................................. 2-17

2.1.15 Drought Restrictions ..................................................................................... 2-18

2.1.16 COVID 2-18

3. Model Approach and Development ...................................................................................... 3-1

3.1 Modeling Approach .................................................................................................... 3-1 2025 Orange County Water Demand Projection Model

2 3.2 Model Development .................................................................................................... 3-4

3.2.1 Model Fitting ................................................................................................... 3-4

3.2.2 Summary of Explanatory Variables ................................................................ 3-5

3.3 Single-family Regression Development ..................................................................... 3-7

3.3.1 Explanatory Variables and Fitted Coefficients ............................................... 3-7

3.3.2 Historical Model Performance ........................................................................ 3-8

3.4 Multifamily Regression Development ........................................................................ 3-9

3.4.1 Explanatory Variables and Fitted Coefficients ............................................... 3-9

3.4.2 Historical Model Performance ...................................................................... 3-10

3.5 CII Regression Development .................................................................................... 3-11

3.5.1 Explanatory Variables and Fitted Coefficients ............................................. 3-11

3.5.2 Historical Model Performance ...................................................................... 3-12

3.6 Irrigation Regression Development .......................................................................... 3-13

3.6.1 Explanatory Variables and Fitted Coefficients ............................................. 3-13

3.6.2 Historical Model Performance ...................................................................... 3-14

3.7 Price Elasticity .......................................................................................................... 3-14

3.8 Model Development Summary ................................................................................. 3-15

4. Future Demand Analysis ...................................................................................................... 4-1

4.1 Baseline Scenario Assumptions .................................................................................. 4-3

4.2 Development of Forecast Inputs ................................................................................. 4-4

4.2.1 Retailer Driver Units ....................................................................................... 4-4

4.2.2 Weather and Climate ....................................................................................... 4-6

4.2.3 Water Price ...................................................................................................... 4-7

4.2.4 Detrended Economic Factor ............................................................................ 4-7

4.2.5 Median Income................................................................................................ 4-7

4.2.6 Housing Density .............................................................................................. 4-7

4.2.7 Persons Per Household .................................................................................... 4-8

4.2.8 Relative Sectoral Employment ........................................................................ 4-8

4.2.9 Seasonality ...................................................................................................... 4-8

4.2.10 Conservation ................................................................................................... 4-8

4.3 Baseline Sectoral Forecasts ......................................................................................... 4-9 2025 Orange County Water Demand Projection Model

3 4.3.1 Forecast Expectations...................................................................................... 4-9

4.3.2 Forecast Summary ......................................................................................... 4-10

5. Alternative Forecasts ............................................................................................................ 5-1

5.1.1 Future Climate Change ................................................................................... 5-1

5.1.2 Alternative Forecasts ....................................................................................... 5-5

6. UWMP Scenarios ................................................................................................................. 6-1

6.1.1 Single Dry Year Scenario................................................................................ 6-1

6.1.2 Multiple Dry Year Scenario ............................................................................ 6-3

6.1.3 All UWMP Scenarios ...................................................................................... 6-4

7. Urban Water Use Objectives (UWUO) Metrics ................................................................... 7-1

8. Summary and Conclusions ................................................................................................... 8-1

2025 Orange County Water Demand Projection Model

1 Table of Figures
Figure ES-1: Single-family and Multifamily Growth ..................................................................... 9 Figure ES-2: Demographic Parameters ........................................................................................ 10 Figure ES-3: Baseline, Alternative, and UWMP Forecasts .......................................................... 11 Figure 1-1: Econometric Demand Forecast Development Process ............................................. 1-2 Figure 2-1: Summary of Time Range of Available Billing Data Provided by Retail Agencies .. 2-2 Figure 2-2: Billing Sectors by standardized demand sector ........................................................ 2-4 Figure 2-3: Example smoothing of consumption for an Agency with a Billing Structure that Changes Over Time ............................................................................................................ 2-5 Figure 2-4: GDP Departure from Trend .................................................................................... 2-12 Figure 2-5: 2024 Household Density (average households per acre) ........................................ 2-16 Figure 2-6: 2024 Estimated Persons per Household .................................................................. 2-17 Figure 2-7: Time Series of Historical Water Restrictions Imposed by the State ....................... 2-18 Figure 3-1: Improving Coefficient Accuracy by Addressing Multiple Demand Factors ............ 3-3 Figure 3-2: Modeled vs Historical Water Use per Account for Single-Family for One Agency 3-9 Figure 3-3: Modeled vs Historical Water Use per Account for Multifamily for an Agency..... 3-11 Figure 3-4: Modeled vs Historical Water Use per Account for CII Use for an Agency ........... 3-13 Figure 3-5: Modeled vs Historical Water Use per Account for Irrigation for an Agency ......... 3-14 Figure 3-6: Estimated Seasonal Price Elasticities by Demand Sector for Orange County Water Agencies ........................................................................................................................... 3-15 Figure 4-1: Historical and Projected Demographic Values for Orange County (2010 – 2050) .. 4-5 Figure 4-2: Historical and Projected Household Growth for Orange County (2010 – 2050)...... 4-6 Figure 4-3: Historical and Projected Job Numbers for Orange County (2002 – 2050) ............... 4-6 Figure 4-4: Total Orange County Demands................................................................................. 4-9 Figure 5-1: Flume Quadrants ....................................................................................................... 5-2 Figure 5-2: Climate Forecasts ...................................................................................................... 5-3 Figure 5-3: CMIP6 Climate Change Futures ............................................................................... 5-4 Figure 5-4: Future CMIP6 Scenarios ........................................................................................... 5-5 Figure 5-5: Alternative Demand Scenarios .................................................................................. 5-6 Figure 6-1: Total Orange County Historical Water Use vs Projected Water Demands for All UWMP Scenarios ............................................................................................................... 6-5 2025 Orange County Water Demand Projection Model

2 Table of Tables
Table ES-1: Summary of Demand Sectors ..................................................................................... 6 Table ES-2: Summary of Historical Data Collected for Model Development ............................... 7 Table ES-3: Future Model Parameters ............................................................................................ 8 Table ES-4: Orange County Forecast ........................................................................................... 10 Table 1-1: Pros and Cons of Several Demand Models ................................................................ 1-1 Table 2-1: Summary of Historical Data Collected for Model Development ............................... 2-1 Table 2-2: Summary of Standardized Water Use Sectors ........................................................... 2-3 Table 2-3: Driver Units and Rates of Use for each Demand Sector ............................................ 2-6 Table 2-4: 2024 Estimated Residential Driver Units by Retailer ................................................ 2-7 Table 2-5: 2019 LODES and CDR Jobs Comparison ................................................................. 2-8 Table 2-6: Summary of Explanatory Variables ........................................................................... 2-9 Table 2-7: 2024 Median Income by Retailer (2022 $) .............................................................. 2-13 Table 2-8: NAICS Sector Jobs by Model Sector ....................................................................... 2-14 Table 2-9: 2024 Total Residential Acreage ............................................................................... 2-15 Table 3-1: Iterative Process for Developing Econometric Models .............................................. 3-4 Table 3-2: Description of Demand Model Explanatory Variables .............................................. 3-6 Table 3-3: Single-family Regression Variables and Coefficients................................................ 3-8 Table 3-4: Multifamily Regression Variables and Coefficients ................................................ 3-10 Table 3-5: CII Regression Variables and Coefficients .............................................................. 3-12 Table 3-6: Irrigation Regression Variables and Coefficients .................................................... 3-13 Table 4-1: Calibration Factors ..................................................................................................... 4-1 Table 4-2: Other Uses by Agency ................................................................................................ 4-2 Table 4-3: Future Model Parameters and Assumptions for Baseline Demand Forecast ............. 4-4 Table 4-4: Projected County-wide Passive Conservation ............................................................ 4-8 Table 6-1: Selected Calendar Years for Hot/Dry Weather Scenario ........................................... 6-2 Table 6-2: Regression Coefficients and Variable Values ............................................................ 6-3 2025 Orange County Water Demand Projection Model

3 List of Modeling Terms

Term Working Definition
Billing Class Group of customers defined in rate schedule for revenue collection
Billing Accounts Group of accounts defined in rate schedule for revenue collection
Sector One or more billing classes combined for modeling Driver Unit (Driver) Indicator of scale or growth for a given sector (counts) Rate of Use Measure of water use per driver unit
Econometric Model Multiple regression model specifying economic variables Explanatory Variable (i.e. water price and maximum
monthly temperature)
A variable specified in a regression model to explain
variability in water use
Coefficient Elasticity (multiplier) that measures the response of water use to changes in explanatory variables
Model Fitting
Process of estimating parameters that measure the
response of water use to changes in explanatory
variables
Model Prediction Calculation of water use for assumed values of explanatory variables
Nominal Income
The amount of money a person or an entity earns,
without accounting for inflation or changes in purchasing power
Nominal Price
The stated price of an item without any adjustments for inflation representing its value in currency at the time of a transaction
Relative Sectoral Employment Employment in each Commercial, Industrial, or Institutional sector

2025 Orange County Water Demand Projection Model

4 List of Acronyms

Term Working Definition
CalAdapt California Climate Adaptation Platform
CCF Hundred Cubic Feet
CII Commercial, Industrial & Institutional
CMIP6 Coupled Model Intercomparison Project (Phase 6)
DOF California Department of Finance
GDP Gross Domestic Product
GIS Geographic Information System
LEHD/LODES Longitudinal Employer Household Dynamics / Origin Destination Employment Statistics
MF Multifamily (Residential)
MGD / MG / AFY Million Gallons per Day / Million Gallons / Acre Feet per Year
NRW Non-Revenue Water
PPH Persons per Household
SF Single-family (Residential)
UWMP Urban Water Management Plan
UWUO Urban Water Use Objective

2025 Orange County Water Demand Projection Model

5 Executive Summary
The Municipal Water District of Orange County (MWDOC) supplies water to 26 retail agencies, and the Orange County Water District (OCWD). The Orange County demand forecasts include the MWDOC service area as well as 3 cities who are direct customers of the Metropolitan Water District of Southern California (MWD): Anaheim, Fullerton, and Santa Ana. Water demand forecasts are a foundational element of water supply and infrastructure planning, and MWDOC and OCWD selected Hazen and Sawyer (Hazen) to update the demand forecasts for Orange County's retail agencies for the 2025 Urban Water Management Plan. The update is necessary both because current demands are lower than previously projected, and new demographic and climate projections were made available in 2025.

Hazen created four demand models for each Orange County retail agency. The four models represent demand sectors in which agency billing sector uses are similar in magnitude, and in which changes in billing sector water use can be attributed to the same variables. The four sectors are:
1) Single-family Residential
2) Multifamily Residential
3) Commercial, Industrial, and Institutional (CII)
4) Dedicated Irrigation (potable, recycled & raw water) The demand across all four models, plus other uses for each agency, is summed to a total forecast for each agency, the MWDOC service area, the OCWD service area, and total Orange County.

Econometric Approach and Data Acquisition
A regression, or econometric, approach to demand forecasting statistically links retail level water use to weather, economic, and socioeconomic factors (explanatory variables). Orange County agencies provided comprehensive datasets of historical water use, and Hazen worked with MWDOC to obtain explanatory variables from reputable sources, including weather databases and Census-based reports. The explanatory variables used in the regression are based on Hazen’s experience regarding what factors affect water use nationwide and in Southern California.

By statistically linking water use to explanatory variables, econometric models provide a robust foundation for understanding variability and projecting future consumption patterns. Modeled water use is the product of the driver count, and the rate of water use per driver (Equation ES-1).

𝑊𝑎𝑡𝑒𝑟 𝑢𝑠𝑒=𝐷𝑟𝑖𝑣𝑒𝑟 𝐶𝑜𝑢𝑛𝑡∗𝑅𝑎𝑡𝑒 𝑜𝑓 𝑈𝑠𝑒 𝑝𝑒𝑟 𝐷𝑟𝑖𝑣𝑒𝑟 Equation ES-1 Driver units change into the future based on housing, employment, and population projections. The rate of water use per driver is based on the historical response of the use rate to explanatory variables (measured by coefficients) and the future values of those same explanatory variables. Equation ES-2 shows an example use per account, where water price and temperature are examples of explanatory variables, and CIntercept, CR, and CT are example coefficients.
2025 Orange County Water Demand Projection Model

6 𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑈𝑠𝑒 𝑝𝑒𝑟 𝐴𝑐𝑐𝑜𝑢𝑛𝑡=𝐶ூ௡௧௘௥௖௘௣௧+ 𝐶ோ×𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑊𝑎𝑡𝑒𝑟 𝑃𝑟𝑖𝑐𝑒+ 𝐶் × 𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑇𝑒𝑚𝑝𝑒𝑟𝑎𝑡𝑢𝑟𝑒𝑠+ ⋯ Equation ES-2 The coefficients explain how (both in terms of magnitude and sign) water use responds to changes to explanatory variables.

Hazen identified driver units based on data provided by agencies and the Center for Demographic Research at Cal State Fullerton (CDR) that can be easily projected into the future. The rate of water use per driver is based on agency provided billing sector uses from 2010 through 2024. Table ES-1 shows the driver units and rate of use for each of the four models.

Table ES-1: Summary of Demand Sectors
Sector Driver Units Rate of Use Definition
Single-family Residential
Accounts
Gallons / account / day
Multifamily Residential Gallons / account / day
Commercial, Institutional,
Industrial (CII) Jobs Gallons / job / day
Dedicated Irrigation (potable,
recycled & raw water) Accounts Gallons / account / day
The rates of water use for each sector model are based on the historical responses to explanatory variables, and the future values of those explanatory variables. Addressing multiple influences on demand improves the accuracy and precision of all estimated parameters, and the Hazen team identified a large range of explanatory variables based on our experience with demand modeling and available data. Table ES-2 displays the explanatory variables.

2025 Orange County Water Demand Projection Model

7 Table ES-2: Summary of Historical Data Collected for Model Development Dataset Data Source(s)
Observed weather (monthly precipitation, monthly
maximum temperature)
Parameter-elevation Regressions on Independent
Slopes Model (PRISM)
Water Price Retail agency provided (2010 – 2024)
Drought Restrictions State Water Resources Control Board Gross Domestic Product (GDP) Federal Reserve Bank of St. Louis Real Gross Domestic Product: All Industries in Orange County, CA
Median income US Census American Community Survey (ACS) Housing density US Census American Community Survey (ACS), California State University Fullerton Center for
Demographics Research (CDR), Southern California
Association of Governments (SCAG) land use data Persons Per Household Relative sectoral economic activity US Census LODES, CDR Passive Efficiency Estimates Analysis of trend indicators and MWDOC/FLUME insight
COVID Binary Indicator Assumed active from March 2020 – May 2023 The MWDOC Water Use Efficiency Group provided annual savings achieved by various active conservation measures. To avoid additional calculations and potential errors in the classification of historical conservation data, total historical conservation was captured in each sectoral model using a linear trend term. While historical conservation is captured in a linear trend, projected passive conservation is based on the 2021 Orange County Residential Water Efficiency Potential and Opportunities Study (2021 Study) and assumes a 1.9% decrease in annual residential demand from 2025 to 2030, at which point passive conservation will remain constant going forward. Active conservation is not accounted for in the models.

Econometric Model Development
Orange County water use varies by time with changes to the price of water, drought restrictions, and weather, as well as by geography. For example, different agency income levels and household densities result in different water use rates. Hazen fit the four sectoral econometric models using a panel regression approach to account for explanatory variables that vary primarily over geography as well as those that 2025 Orange County Water Demand Projection Model

8 vary over time. The panel approach fits consumption data from all retail agencies simultaneously, improving model accuracy with a larger sample size.

Hazen evaluated model fits using R2 values as well as visual confirmation that the modeled historical water use captured long-term trends, drought restrictions, and COVID pandemic work from home orders.

The models demonstrated strong performance in replicating historical consumption patterns over the past decade. Most regressions achieved R2 values of 0.80 or higher, indicating a high degree of explanatory power. Model results show:
 Single-family consumption is highly seasonal, and the econometric model correlates well to seasonality and temperature.
 Multifamily use is generally less responsive to weather than single-family demands as some outdoor use has been shifted into the irrigation sector. Seasonal price elasticity varies the least between months for the multifamily sector.
 CII use per job is positively correlated to each job proportion as well as gross domestic product throughout Orange County.
 Irrigation is much more responsive to temperature and precipitation than the other sectors.

Seasonal price elasticity varies the most between months for the irrigation sector.

The Hazen team worked with each retail agency to calibrate sectoral model equations and quantify other uses (those not included in the single-family, multifamily, irrigation, or CII demand sectors).

Baseline Forecast
Forecasted demand is a function of both the change in driver units into the future as well as the change in explanatory variables. Table ES-3 summarizes the future drivers and variables.

Table ES-3: Future Model Parameters
Data Category Variable Source Assumptions
Driver Units
Single-family and
multifamily accounts CDR
Historical households per account; averages
are multiplied by households projected by
CDR
Irrigation accounts Agency Billing
Data
Accounts are assumed to be constant into
the future
Sectoral employment CDR Proportion of jobs within CII sectors projected by CDR
Explanatory
Variables
Monthly Maximum
Temperature and Total
Precipitation
PRISM 30-year historical normal weather
Water Price Retail Agencies
Prices increase by 3% per year above
inflation for 2025-2030 and keeps pace with
inflation thereafter (zero difference from
inflation trend)
2025 Orange County Water Demand Projection Model

9 Data Category Variable Source Assumptions
Water Use Restrictions State & Local
Restrictions None
Seasonality Sine/cosine functions to capture monthly
pattern
Median income US Census Constant income at 2022 value (real dollars) Housing density CDR
Derived from CDR housing unit projections,
assuming residential area remains at 2024
levels
Persons Per Household CDR CDR projected demographics
Gross Domestic Product Federal
Reserve Long-term GDP trend
Relative Sectoral
Employment CDR Calculated based on CDR projections
Passive Efficiency
Estimates Flume Insight
Assumes a 2% decrease in residential
demand due to conservation by 2030
(linearly extrapolated), then no change
COVID Binary Indicator None (occurred between March 2020 and May 2023)
The baseline scenario assumes no active conservation measures.

Residential use (single-family and multifamily) accounts for approximately 60% of total Orange County demand and is expected to drive changes to the total demand forecast, despite CII use increasing as jobs increase. Figure ES-1 indicates that multifamily growth is expected to outpace single-family growth out to 2050.

Figure ES-1: Single-family and Multifamily Growth
Additionally, Figure ES-2 shows that average persons per household is expected to decrease for both residential sectors while household density increases.
0100,000200,000300,000400,000500,000600,000700,000800,000Jan-10Jun-15Dec-20Jun-26Nov-31May-37Nov-42May-48Single Family HouseholdsHistoricalProjected0100,000200,000300,000400,000500,000600,000700,000800,000Jan-10Jun-15Dec-20Jun-26Nov-31May-37Nov-42May-48Multi-family HouseholdsHistoricalProjectedJanuary 2025 – January 2030 2025 Orange County Water Demand Projection Model

10 Figure ES-2: Demographic Parameters
While increasing density, decreasing persons per household, and increasing prices are expected to moderate demand, they do not fully offset growth in multifamily driver units. Table ES-4 shows the slow growth trend out to 2050 for all of Orange County.

Table ES-4: Orange County Forecast
Forecast Year 2025 2030 2035 2040 2045 2050
Single-family Demand
(AFY) 196,682 189,600 189,594 190,010 189,146 188,368
Multifamily Demand
(AFY) 91,462 93,631 95,823 97,339 97,976 98,583
Irrigation Demand (AFY) 88,837 86,849 86,849 86,966 86,849 86,849 CII Demand (AFY) 82,873 87,224 89,565 91,928 93,866 95,492 Other Demands (AFY) 28,194 28,007 28,314 28,613 28,735 28,831 Total Demand (AFY) 488,049 485,312 490,145 494,856 496,572 498,124 Single-family demand remains relatively flat due to limited growth in single-family housing units, and multifamily demands are forecasted to increase steadily, driven by rising multifamily housing development. Irrigation demand is expected to remain flat, and other uses (e.g., fire flows, construction) are projected as a fixed percentage of total use. Under expected future conditions, total Orange County demand is projected to remain relatively stable through 2050.

Alternative Forecasts and UWMP Scenarios
As part of this model, alternative demand forecasts were developed to evaluate the impacts of climate change and long-term water rate increases on future water use in Orange County. Using CMIP6 climate models and downscaled LOCA2 data from CalAdapt, the model applied temperature and precipitation deltas to historical weather patterns across four Flume-defined microclimate quadrants. These projections

22.22.42.62.83Jan-10 Sep-23 May-37CDR Projected Persons per Household (PPH)HistoricalProjected5678910Jan-10 Sep-23 May-37CDR Projected Households per AcreHistoricalProjected 2025 Orange County Water Demand Projection Model

11 were used to simulate two climate scenarios, dry/warm and wet/cool. The dry/warm scenario showed increased water demand due to higher temperatures, while the wet/cool scenario, when paired with a 3% annual price increase above inflation, demonstrated demand suppression.

The 2025 Urban Water Management Plan (UWMP) requires agencies to project long-term water demand under three hydrologic conditions, normal year, single dry year, and five consecutive dry years, over a 20- year horizon in 5-year increments. In this model, the single dry year scenario used a hot-dry index (HDI) to identify the year with the most weather-sensitive demand, with 2014 selected for most agencies. The multiple dry year was developed to describe the potential impact of consecutive dry years. Figure ES-3 summarizes all forecasts.

Figure ES-3: Baseline, Alternative, and UWMP Forecasts
Although Orange County demands are forecast to be relatively flat into the future, Figure ES-3 shows that annual variations in weather could cause high fluctuations. 450,000500,000550,000600,000650,000700,000201020122014201620182020202220242026202820302032203420362038204020422044204620482050 Total Orange County Annual Demand (AFY)HistoricalBaseline Normal YearSingle Hot/Dry Year2nd Hot/Dry Year3rd Hot/Dry Year4th Hot/Dry Year5th Hot/Dry YearHigh Demand ScenarioLow Demand Scenario 2025 Orange County Water Demand Projection Model

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1. Introduction
The Municipal Water District of Orange County (MWDOC) supplies water to 26 retail agencies and the Orange County Water District (OCWD). The 3 cities: Anaheim, Fullerton, and Santa Ana, who are direct customers of the Metropolitan Water District of Southern California (MWD) are also analyzed to provide a complete picture of the county. Water demand forecasts are a foundational element of water supply and infrastructure planning. MWDOC, OCWD, and representatives of the retail agencies selected an econometric model approach for the update. Hazen and Sawyer (Hazen) developed the demand model was developed by regressing historical water consumption against several explanatory variables known to influence water demand (including weather, water price, regional economic conditions, and housing density).

This technical memorandum (TM) describes the econometric demand model developed to produce regionally consistent forecasts across all Orange County agencies. Model development was funded by both MWDOC as the imported water wholesale provider and OCWD the OC Groundwater Basin manager.

Table 1-1 highlights a range of available approaches to long-term demand forecasting. Among these, an econometric approach incorporates high-resolution data at the agency scale and integrates many explanatory variables to properly identify the individual influence of each variable on historical and future demand.

Table 1-1: Pros and Cons of Several Demand Models
Model Pro’s Con’s
Time Series  Simple and easily estimated in a
Spreadsheet
 Trends are simply extended into the
future
 Model provides no indication of what
causes trends in water use
Gross per Capita  Ability to decouple the rate of water use from growth
 GPCD is often held constant at the
historical rate
 No indication of what causes trends in
GPCD
End Use Accounting
 Estimates the amount of use associated
with individual purposes
 Addresses technological change and
water use efficiency
 Consists of many assumptions for
each time period
 Difficult to explain observed variability
in water use due to weather, price, or
demographic influences
Regression
(Econometric)
 Links water use statistically to
explanatory variables
 Provides estimates of how variability in
explanatory factors affect water use
 Allows for scenario design around inputs
 Difficult to address the historical
impacts of technology
 Statistical parameters contain a
degree of potential error
 Uncertainty in future values of inputs
2025 Orange County Water Demand Projection Model

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MWDOC, OCWD, and Hazen chose the econometric approach as it provides estimates of how variability in explanatory variables affect water use. An econometric model also facilitates future scenario planning because the future values of explanatory variables are easy to change to present different scenarios.

The model relies on a comprehensive dataset of historical water-use data collected from Orange County retail agencies. Water use is provided from 2010 to 2025 (where available) for almost 40 different billing sectors; the 15-year history enables Hazen to fit the models to a range of historical droughts, price variations, and socioeconomic patterns. Hazen fit the approximately 40 different billing sectors into 4 demand sectors to limit the total project effort while providing a reliable forecast.

Prior to developing the forecasts, model calibration and fine tuning for each of the four demand sectors occurred at the individual retail agency level. The forecasts for individual agencies were then summed to the regional level.

This TM first discusses data collection and the model fitting process and ends with the demand forecasts as presented in Figure 1-1.

Figure 1-1: Econometric Demand Forecast Development Process

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The process of identifying the explanatory variables to include in the regression equation and developing coefficients that accurately measure the response of water use to changes in these variables is called model fitting. Fitting the model is the most time-intensive part of the demand forecasting process, because a model must be fitted for each demand sector, and the type and number of variables used are iteratively determined. Once the model is fitted, the coefficients derived for historical water use are applied to the assumed future values of the associated explanatory variables to generate a forecast. 2025 Orange County Water Demand Projection Model

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2. Historical Data Collection and Review
Demand model development requires a robust historical data set comprised of water consumption, driver units (billing accounts), and explanatory variables to explain historical changes in water use. The explanatory variables used in the models reflect both data availability and Hazen’s nationwide demand modeling experience, which has focused heavily on variables that affect long term demand in California.

Table 2-1 provides a summary of the data used to develop the econometric models.

Table 2-1: Summary of Historical Data Collected for Model Development Data Category Dataset Data Source(s)
Water Use Historical billed consumption and
accounts
Retailer billing records (2010 –
2024)
Driver Units
For SF, MF, and Irr uses: Single-
family, and multifamily, commercial,
and irrigation accounts, Dedicated
Irrigation (potable, recycled & raw
water)
Retailer billing records (2010 –
2024)
For CII uses: CII Sectoral
employment US Census
Explanatory Variables
Observed weather (monthly
precipitation, monthly maximum
temperature)
Parameter-elevation Regressions
on Independent Slopes Model
(PRISM)
Water Price Retail agency provided (2010 –
2024)
Drought Restrictions State Water Resources Control
Board
Gross Domestic Product (GDP)
Federal Reserve Bank of St. Louis
Real Gross Domestic Product: All
Industries in Orange County, CA
Median income US Census American Community
Survey (ACS)
Housing density US Census American Community
Survey (ACS), California State
University Fullerton Center for
Demographics Research (CDR),
Southern California Association of
Governments (SCAG) land use data
Persons Per Household
Relative sectoral economic activity US Census LODES, Center for Demographics Research (CDR)
Passive Efficiency Estimates Analysis of trend indicators and MWDOC/FLUME insight
COVID Binary Indicator Assumed active from March 2020 – May 2023
The following sections provide a detailed description of each dataset summarized in Table 2-1. Data sources documented in this section are limited to historical datasets; a review of datasets describing projected future conditions and assumptions are documented in Section 4. 2025 Orange County Water Demand Projection Model

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2.1 Data Collected from Retail Agencies
Orange County retail agencies responded to a questionnaire spreadsheet that asked for their historical billed water consumption volumes and account data by customer class for the 2010 to 2024 period, as well as water rate schedules covering the same period, and, where possible, a summary of water shortage management activities implemented over the last decade. Figure 2-1 summarizes the historical duration of data provided by each agency as well as an identification of the billing cycle (monthly or bimonthly) that defines the general frequency of water bills.

Figure 2-1: Summary of Time Range of Available Billing Data Provided by Retail Agencies The water use and account data provided by the agencies varied. Billing sectors and their definitions can be agency-specific (almost 40 billing classifications were collected from 29 retail agencies), and water use data was not always consistently available back to 2010 for all retailers. Billing cycles differ between agencies: monthly, bimonthly, or a combination of the two.

After the water use and account data were obtained, the data needed to be standardized into consistently defined demand sectors and to a monthly basis. The following sections discuss how billing-sector data Jan-10 Jan-11 Jan-12 Dec-12 Jan-14 Jan-15 Jan-16 Dec-16 Jan-18 Jan-19 Jan-20 Dec-20 Jan-22 Jan-23 Jan-24AnaheimBreaBuena ParkEast OrangeEl ToroFountain ValleyFullertonGarden GroveGSWC CowanGSWC PlacentiaGSWC West OrangeHuntington BeachIRWDLa HabraLa PalmaLaguna BeachMesa WaterMoulton NiguelNewport BeachOrange CitySan ClementeSan Juan CapistranoSanta AnaSanta MargaritaSeal BeachSerranoSouth CoastTrabuco CanyonTustinWestminsterYorba Linda Monthly Bimonthly Bimonthly and Monthly Bimonthly/Monthly Transition during period of record

2025 Orange County Water Demand Projection Model

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were standardized into four demand sectors, and how water use per account was standardized to yield monthly use per account accounting for differences in billing cycles.

2.1.1 Standardized Agency Billing Sectors
Retail agencies provided billing and account data organized by each agency’s own internal billing classifications. Billing classifications were relatively consistent across retail agencies for defining residential water use, as most retail agencies characterized separate classifications for single-family and multifamily sectors. Water use of mobile home and other housing customer classes not associated with single-family detached structures was generally found to be similar to water use rates within the multifamily sector.

Billing classifications were less consistent in describing non-residential uses. Most agencies defined a commercial billing classification; however, the distinction and definition of industrial, institutional, and irrigation classes were inconsistent across retail agencies. For example, certain retail agencies include industrial or institutional uses within their commercial billing classification. Similarly, landscape use is not necessarily limited to a single end use, and not all retailers reported irrigation use as a class. Water billed within a landscape or irrigation category could represent use at commercial, industrial, institutional, and residential properties. Uncertainty and inconsistency in retail agency definitions of commercial, industrial, and institutional water use can affect the accuracy and performance of statistical demand models. To address this, the commercial, industrial, and institutional sectors were combined into an aggregate Commercial, Industrial, Institutional (CII) sector for modeling.

Table 2-2 provides the general breakdown of sector classifications across MWDOC agencies.

Table 2-2: Summary of Standardized Water Use Sectors
Standardized Water Use Sector
(Modeled Sector)
Description
Single-family Water use associated with single-family residential homes.

Multifamily
Water use associated with multifamily residential properties. Multifamily use shows less seasonal variation than single-family use due to shared irrigable area per dwelling unit and some multifamily irrigation is likely to be attributed to the irrigation class. Multifamily use generally includes all residential accounts not defined as single-family
CII (Commercial, Industrial,
Institutional)
Water use associated with commercial developments, industrial applications, and institutional activity. CII use includes non-irrigation recycled uses.

Irrigation
Water use associated with outdoor (typically non-residential) and agricultural irrigation. This irrigation use includes recycled water for irrigation.

Other
Other water use includes classifications not well represented by the water use sectors above (including fire flows, temporary meters, construction, power uses, water loss, and other small miscellaneous uses).
2025 Orange County Water Demand Projection Model

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Agency staff provided additional information (via email and phone conversations) to support parsing landscape and recycled water use into modeled sectors. Figure 2-2 shows the agency billing classes separated into the four modeled sectors and the Other category.

Figure 2-2: Billing Sectors by standardized demand sector Figure 2-2 indicates that across all agencies, single-family and multifamily use were the most consistently classified.

2.1.2 Standardized Agency Rate of Use
Retail agencies have different billing and meter reading frequencies. Additionally, within each agency, meter reading cycles can vary by customer. Many agencies universally adopt either monthly or bimonthly billing; however, some utilize a combination of the two billing cycles depending on customer class and date. Water use rates for the different agency billing cycles were standardized to a calendar-month to better reflect the actual seasonal timing of water use for each of the four modeled sectors (other uses are applied as a percentage of total use across the single-family, multifamily, CII, and irrigation sectors).

Water use billed at monthly intervals can generally overlap with two consecutive calendar months. A smoothing equation extracts a single calendar-month use from the two monthly billing periods. For example, April water use is equal to the fraction of the April consumption billed in April plus the fraction of the April consumption billed in May (Equation 2-1).

𝐴𝑝𝑟𝑖𝑙 𝑈𝑠𝑒=ቀ𝐵𝑖𝑙𝑙𝑒𝑑 𝐴𝑝𝑟𝑖𝑙 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛× ஺௣௥௜௟ ஺௖௖௢௨௡௧௦
஺௣௥௜௟ ஺௖௖௢௨௡௧௦ାெ௔௬ ஺௖௖௢௨௡௧௦ቁ+
ቀ𝐵𝑖𝑙𝑙𝑒𝑑 𝑀𝑎𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛× ெ௔௬ ஺௖௖௢௨௡௧௦
஺௣௥௜௟ ஺௖௖௢௨௡௧௦ା ஺௖௖௢௨௡௧௦ቁ Equation 2-1 05101520253035Single FamilyLifelineADUMultifamilyResidentialCondo (individually metered)Multifamily (master metered)Apartment/CondoDualAgricultureCII IrrigationCommercialCommercial, Industrial, InstitutionalCommercial, InstitutionalCommercial/Carwash/…Commercial/MultifamilyConstruction MeterEducationFireGolf CourseGovHotelHydrantIndustrialInstitutionalIrrigationIrrigation Non-PotableIrrigation PotableIrrigation RecycledLandscapeMunicipalMunicipal IrrigationNon-Irrigation RecycledNon-RevenueOtherPowerResidential IrrigationTempTemporary/Construction Potable Number of AgenciesSingle family SectorMulti-family sectorCII SectorIrrigation SectorOther 2025 Orange County Water Demand Projection Model

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Customers billed at bimonthly intervals are divided into two groups, and each group is billed every second month. Bimonthly meter readings contain water use that occurs over a span of three calendar months. For example, April use equals the fraction of April consumption billed in April and June (billing group 1) plus the fraction of April consumption billed in May (billing group 2), per Equation 2-2.

𝐴𝑝𝑟𝑖𝑙 𝑈𝑠𝑒=൭ቀଵ
ସ𝐵𝑖𝑙𝑙𝑒𝑑 𝐴𝑝𝑟𝑖𝑙 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛+ଵ
ସ 𝐵𝑖𝑙𝑙𝑒𝑑 𝐽𝑢𝑛𝑒 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛ቁ×
భ
మ஺௣௥௜௟ ஺௖௖௢௨௡௧௦ାభ
మ௃௨௡௘ ஺௖௖௢௨௡௧௦
భ
మ஺௣௥௜௟ ஺௖௖௢௨௡௧௦ାெ௔௬ ஺௖௖௢௨௡௧௦భ
మ௃௨௡௘ ஺௖௖௢௨௡௧௦൱+ቆଵ
ଶ𝐵𝑖𝑙𝑙𝑒𝑑 𝑀𝑎𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛×
ெ௔௬ ஺௖௖௢௨௡௧௦
భ
మ஺௣௥௜௟ ஺௖௖௢௨௡௧௦ାெ௔௬ ஺௖௖௢௨௡௧௦ାభ
మ௃௨௡௘ ஺௖௖௢௨௡௧௦ቇ Equation 2-2 Figure 2-3 depicts smoothed water use for an agency whose billing structure changes from bimonthly to monthly in late 2022.

Figure 2-3: Example smoothing of consumption for an Agency with a Billing Structure that Changes Over Time
If an agency employs both monthly and bimonthly billing cycles for billing sectors that fall into a single model demand sector, a weighting of smoothed monthly (m) and bimonthly (b) water use (q) is employed to average use (qM,avg) over the two cycles (Equation 2-3). 𝑞ெ,௔௩௚=𝑤௠×𝑞௠+𝑤௕×𝑞௕ Equation 2-3 The weighting factors are defined in Equations 2-4 and 2-5. 𝑤௠= ஺ಾ,೘ା஺ಾశభ,೘
൫஺ಾାଶ஺ಾశభ,್ା஺ಾశమ,್൯ା൫஺ಾ,೘ା஺ಾశభ,೘൯ Equation 2-4 𝑤௕ = ஺ಾ,್ାଶ஺ಾశభ,್ା஺ಾశమ,್
൫஺ಾାଶ஺ಾశభ,್ା஺ಾశమ,್൯ା൫஺ಾ,೘ା஺ಾశభ,೘൯ Equation 2-5

2.1.3 Development of Retail Agency Driver Units
Driver units reflect the scale of a water use sector indicative of the number of water users. Total water consumption (Q) is derived by multiplying the number of driver units (N) by the rate of water use per driver unit (q), as shown in Equation 2-6.
010002000300040005000Jan-10Jun-10Nov-10Apr-11Sep-11Feb-12Jul-12Dec-12May-13Oct-13Mar-14Aug-14Jan-15Jun-15Nov-15Apr-16Sep-16Feb-17Jul-17Dec-17May-18Oct-18Mar-19Aug-19Jan-20Jun-20Nov-20Apr-21Sep-21Feb-22Jul-22Dec-22May-23Oct-23Mar-24Aug-24 Gallons/Account/DayBilled Water UseSmoothedMonthly WaterUseBimonthly Monthly 2025 Orange County Water Demand Projection Model

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𝑄 = 𝑁 ⋅ 𝑞 → 𝑞 =ொ
ே Equation 2-6 To be useful for model development and forecasting, driver units must have a consistent historical record coincident with consumption and have a corresponding future dataset representing projected driver unit counts. Driver units were selected for each model sector, as shown in Table 2-3. The following sections detail the data sources and data processing used to develop estimates of drivers for each retail agency and model sector.

Table 2-3: Driver Units and Rates of Use for each Demand Sector Sector Driver Units Rate of Use Definition
Single-family Residential
Accounts
Gallons / account / day
Multifamily Residential Gallons / account / day
Commercial, Institutional,
Industrial (CII) Jobs Gallons / job / day
Dedicated Irrigation (potable,
recycled & raw water) Accounts Gallons / account / day
Other water uses that are small and do not neatly fit above classifications are projected using a long-term average of historical consumption.

2.1.4 Residential Housing Units
Driver units for both single-family and multifamily residential water use were set to the number of accounts provided by retail agencies. Distinct housing unit data was available through the Center for Demographic Research at California State University, Fullerton (CDR) by retailer service area boundaries.

The number of single-family accounts recorded by retail agencies may be slightly greater than the number of single-family housing units reported by CDR due to auxiliary dwelling units (ADUs), other property- specific meter additions, and subtle differences in how the single-family class is defined (e.g., some agencies may include individually metered townhomes). Multifamily dwellings are generally billed collectively on a single meter, and the number of units per account is higher than for single-family accounts.

The total number of accounts are used as a driver for the residential sectors, and units per account is used as an explanatory variable providing a means of using CDR projections of residential households as a driver for residential sector forecasts. Both values are reported in Table 2-4. 2025 Orange County Water Demand Projection Model

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Table 2-4: 2024 Estimated Residential Driver Units by Retailer

Total
SF
Units
Total SF
Accounts
SF
Units/Account
Total
MF
Total MF
Accounts
MF
Units/Account
Anaheim 46,323 52,743 0.88 69,041 4,311 16.02
Brea 9,979 11,091 0.90 8,855 210 42.18
Buena Park 14,885 16,865 0.88 11,142 696 16.01
East Orange CWD 1,141 1,174 0.97 96 26 3.69
El Toro WD 6,725 5,670 1.19 18,193 2,619 6.95
Fountain Valley 13,266 16,090 0.82 7,061 190 37.20
Fullerton 25,248 26,687 0.95 25,334 1,933 13.11
Garden Grove 28,148 30,114 0.93 22,611 1,795 12.60
GSWC Cowan 2,376 2,443 0.97 85 48 1.77
GSWC Placentia 9,497 11,886 0.80 7,023 1,222 5.75
GSWC West Orange 19,397 24,710 0.79 18,209 3,511 5.19
Huntington Beach 39,828 44,950 0.89 43,299 4,329 10.00
Irvine Ranch WD 72,377 71,228 1.02 105,949 40,636 2.61
La Habra 10,728 11,094 0.97 9,920 877 11.31
La Palma Not Provided
Laguna Beach CWD 7,076 7,093 1.00 3,583 1,125 3.19
Mesa WD 15,943 14,350 1.11 26,671 6,302 4.23
Moulton Niguel 33,583 47,418 0.71 35,269 2,017 17.48
Newport Beach 14,994 19,706 0.76 20,291 4,077 4.98
Orange City 26,112 23,452 1.11 22,480 6,091 3.69
San Clemente 12,664 12,478 1.01 9,419 3,706 2.54
San Juan Capistrano 6,684 6,802 0.98 6,079 3,148 1.93
Santa Ana 35,197 35,334 1.00 47,658 3,732 12.77
Santa Margarita WD 38,217 38,260 1.00 22,574 15,137 1.49 Seal Beach 4,666 4,438 1.05 10,011 569 17.58
Serrano WD 2,214 2,229 0.99 24 Not Provided
South Coast WD 9,997 10,994 0.91 8,483 1,591 5.33
Trabuco Canyon WD 3,620 3,907 0.93 497 31 16.03
Tustin 10,252 12,035 0.85 12,329 849 14.52
Westminster 16,273 19,724 0.83 13,139 1,103 11.92
Yorba Linda WD 20,674 23,510 0.88 5,919 264 22.43

2.1.5 CII Jobs
Total employees, or jobs, within the CII sector are estimated from the U.S. Census Bureau Longitudinal Employer Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) dataset (U.S. Census Bureau, 2020). The most recent LODES data set provides total employment data from 2002 to 2022 at a census tract level based on job location. LODES also categorizes jobs by North American Industry Classification System (NAICS) sector, which is the standard used by federal statistical agencies.

Jobs were appropriately calculated for each agency’s service area in two steps:
1) Geoprocessing jobs to water service area boundaries: Census tract-level jobs by industry are geo- processed to align with Orange County retail agency service area boundaries. During 2025 Orange County Water Demand Projection Model

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geoprocessing, a scaling ratio is developed for each agency, for each census tract. The number of jobs within a census tract multiplied by an agency-specific scaling ratio equals the number of jobs for a given retail agency in that tract.
2) Verifying job numbers with CDR data: CDR provided employment data for city boundaries in Orange County from 2019 to 2025. The CDR jurisdictional forecasts are spatially aligned with Orange County water agency boundaries using the same technique applied to the LODES data, and the 2019 job numbers were compared with the LODES 2019 job numbers.

Comparison of the LODES data to the CDR data helped with the assignment of appropriate GIS census tracts and agency boundaries. The differences are shown in Table 2-5.

Table 2-5: 2019 LODES and CDR Jobs Comparison
Agency Total 2019 Jobs
(LODES) Total 2019 Jobs (CDR)
CDR Projection
Difference from LODES
(CDR-LODES)/LODES
Anaheim 196,461 209,100 6.43%
Brea 43,818 45,716 4.33%
Buena Park 36,214 37,474 3.48%
East Orange CWD 493 354 -28.19%
El Toro WD 21,280 18,290 -14.05%
Fountain Valley 32,804 31,917 -2.70%
Fullerton 66,899 66,622 -0.41%
Garden Grove 53,476 60,948 13.97%
GSWC Cowan (assumes
City of Orange service) 986 1,383 40.21%
GSWC Placentia 15,885 18,238 14.81%
GSWC West Orange 53,365 51,862 -2.82%
Huntington Beach 71,084 84,726 19.19%
Irvine Ranch WD 364,318 422,026 15.84%
La Habra 17,795 18,643 4.77%
La Palma 5,230 5,589 6.86%
Laguna Beach (includes
Emerald Bay) 7,317 10,343 41.36%
Mesa Water 107,313 98,526 -8.19%
Moulton Niguel WD 60,584 70,203 15.87%
Newport Beach 51,627 48,769 -5.54%
Orange City 112,543 109,218 -2.95%
San Clemente 17,994 20,669 14.87%
San Juan Capistrano 15,058 16,990 12.83%
Santa Ana 161,955 164,884 1.81%
Santa Margarita WD 39,661 43,717 10.22%
Seal Beach 10,484 13,059 24.56%
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Agency Total 2019 Jobs
(LODES) Total 2019 Jobs (CDR)
CDR Projection
Difference from LODES
(CDR-LODES)/LODES
Serrano WD 1,521 2,288 50.43%
South Coast WD 13,305 14,936 12.26%
Trabuco Canyon WD 1,312 2,605 98.52%
Tustin 37,530 22,765 -39.34%
Westminster 30,892 28,153 -8.87%
Yorba Linda WD 24,139 25,866 7.15%
The differences in actual job numbers across the two data sources vary by agency. The actual jobs implemented in the forecast were based on conversations with each agency. For most retail agencies, the job growth rate predicted by CDR, rather than actual job numbers, is used. However, in cases where agencies indicated that CII demands differed from observed Fiscal Year 2024-2025 values, Hazen substituted the job source (CDR or LODES) that provided a forecast closer to observations.

2.2 Collection and Processing of Explanatory Variables
Explanatory variables are variables specified in a regression model to explain variability in water use, such as water rates, maximum monthly temperature, housing density, and other socioeconomic parameters. Explanatory variables used in the econometric demand model are identified based on adherence to three key characteristics:
1) Logical or understood connection to explaining changes in water consumption; 2) Historical records available for the historical modeling period; and 3) Availability of future projections consistent with the desired forecast horizon (2025-2050) or a reasonable means for assuming or deriving projected values.

Table 2-6 provides an overview of the collected explanatory variables for Orange County water agencies’ demand models and their relevance to explaining changes in water consumption.

Table 2-6: Summary of Explanatory Variables
Explanatory Variable Relevance to Water Consumption
Temperature Higher than normal temperatures are associated with higher demands.

Precipitation Higher than normal rainfall is associated with lower demands.

Price Economic theory suggests a negative correlation with demand.

Economic Index Water demand is positively correlated with real GDP, which is modeled as departure from the long-term trend.

Median Income
Economic theory suggests a positive correlation between income and demand; generally, areas with higher median incomes tend to use more water.
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Explanatory Variable Relevance to Water Consumption
Mix of industries The representation of industries within a geographical area is related to the amount of water used within the CII sector.

Housing density
Housing density is negatively correlated with demand; on average, residences with more units per acre (or smaller parcel sizes relative to dwellings) tend to use less water for outdoor uses.

Persons per Household Positively correlated with demand; generally, residences with more people tend to use larger amounts of water on average.

Households per account Higher units per account are associated with higher average demands per account.

Conservation Decreases the amount of water customers consume.

Drought Restrictions The presence of drought restrictions on water use tends to decrease the amount of water consumed by customers.

COVID Pandemic
The presence of COVID restrictions tends to increase the amount of water consumed by residential customers and decrease the amount used in the CII sector.

The following sections document the raw data sources and the processing involved to derive each explanatory variable.

2.1.6 Historical Weather Data
Based on Hazen’s modeling experience, total monthly precipitation and maximum monthly temperature will have the greatest impact on demand. These weather characteristics best define demand when calculated for each retail service area boundary, which accounts for microclimates driven by elevation gradients and proximity to large water bodies. The Northwest Alliance for Computational Science and Engineering at Oregon State University produces the PRISM (PRISM Climate Group 2004) weather dataset from a wide monitoring network, including the California Data Exchange Center (CDEC) and the California Irrigation Management Information System (CIMIS) gages. PRISM provides gridded weather data at a 4-kilometer resolution, and Python scripts were then used to process the total monthly precipitation (inches per month) and monthly average maximum daily temperature (degrees Fahrenheit) for each member agency’s service area based on the coordinates of agency centroids.

Weather data are normalized to average conditions to disconnect weather variations from systematic seasonal cycles. Historical normal weather values were calculated for each member agency as the average monthly values over the period 1991 to 2024. Departures from the historical normal were then calculated as the actual monthly value minus the monthly historical norm in the natural log-scale, as shown in Equation 2-6.

𝐷𝑒𝑝𝑎𝑟𝑡𝑢𝑟𝑒= ln𝑋௜,௠,௧ − ln𝑋ప,௠തതതതതതതത Equation 2-6 2025 Orange County Water Demand Projection Model

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Where Xi,m,t is an observed weather value for agency i in month m for year t and Xi,m is the historical normal value for agency i in month m. A positive departure indicates above-normal conditions, and a negative value indicates below-normal conditions.

2.1.7 Water Price
Agencies provided historical water prices (in dollars per volumetric unit), which Hazen used to measure the effects of pricing on water usage. Three types of price structures were present across the agencies:
• Uniform volumetric prices which are constant across demand sectors or equivalent for all demand sectors, which do not vary by amount of water purchased; • Volumetric tier prices, which vary by amount of water purchased by demand sector or are equivalent for all demand sectors; or
• Water-balance based (also called budget-based) prices in which prices for single and multifamily demand sectors are based on specific indoor use thresholds and outdoor irrigation characteristics.

Several agencies changed price structures over time; however, volumetric prices used in modeling reflect the marginal (or incremental) portion of the water rate that can be avoided by reducing consumption, consistent with economic theory. Any changes to price structure are incorporated in the marginal rate.

The marginal price of water used in the demand model is defined as the cost of the 10th hundred cubic foot (CCF) for the single-family residential sector, and the cost of the 20th CCF for the multifamily residential, irrigation, and CII sectors.

Prior to modeling, all marginal prices were converted into real, inflation-adjusted, 2022 dollars using the Bureau of Labor Statistics, Consumer Price Index – All Urban Consumers for the Urban West (Series ID:

CUUR0400SA0, CUUS0400SA0).-

2.1.8 Economic Indices
Water demand is positively correlated with economic fluctuations of the business cycle. Periods of economic growth generally see increased water use. Annual Real Gross Domestic Product (GDP) is used to reflect general economic trends. GDP for all industries in Orange County, CA, was downloaded from the Federal Reserve Bank of St. Louis Economic Research Division (FRED Economic Data). The trend in the time series of the GDP index was removed during model development to better identify short-term fluctuations in economic activity. Departure from the trend (Figure 2-4) was calculated by running a regression on the natural log of GDP on a linear time counter (each subsequent year means the time counter is increased by 1) and the residual is used as the explanatory variable. This is standard econometric practice for addressing common statistical problems with trending variables and allows for a more flexible interpretation of forecast scenarios. 2025 Orange County Water Demand Projection Model

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Figure 2-4: GDP Departure from Trend
The detrended GDP series shows the timing and magnitude of economic expansion prior to the effects of the Great Recession (after 2008) and COVID (in 2020) on macroeconomic output, while highlighting periods of positive and negative economic growth relative to the long-term trend.

2.1.9 Median Household Income
Median household income was identified as a potential explanatory variable for the residential sectors.

Economic theory suggests a positive correlation between income and demand; generally, areas with higher median incomes tend to use more water. Median income was estimated from the US Census American Community Survey (ACS) data as the median value of all census tracts within each retailer’s service area boundary. Median income was adjusted for inflation by normalizing to 2022-dollar values and held constant over time for each retailer (Table 2-7) because future changes in income are unknown and will likely change slowly.

-0.08-0.06-0.04-0.020.000.020.040.060.080.10200120032005200720092011201320152017201920212023 Index ValueDetrended and Logged GDP
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Table 2-7: 2024 Median Income by Retailer (2022 $)
Agency Income
Anaheim $102,629
Brea $119,135
Buena Park $106,284
East Orange CWD $192,611
El Toro WD $118,718
Fountain Valley $113,579
Fullerton $104,061
Garden Grove $91,554
GSWC Cowan $191,042
GSWC Placentia $191,042
GSWC West Orange $191,042
Huntington Beach $124,294
Irvine Ranch WD $142,613
La Habra $105,816
La Palma $116,923
Laguna Beach CWD $145,655
Mesa WD $120,134
Moulton Niguel $137,457
Newport Beach $169,322
Orange City $130,669
San Clemente $131,079
San Juan Capistrano $144,210
Santa Ana $92,739
Santa Margarita WD $153,652
Seal Beach $127,699
Serrano WD $164,156
South Coast WD $134,980
Trabuco Canyon WD $175,218
Tustin $122,041
Westminster $92,741
Yorba Linda WD $144,687

2.1.10 Mix of Industries
Additional explanatory variables were developed to reflect the mix of CII activity within each member agency’s service area. The presentation of the model drivers covers the LODES employment data and the geoprocessing used to generate the number and category of jobs for each retail agency. Historical employment data supplied by LODES was categorized by the North American Industry Classification System (NAICS) of the US Census Bureau. The LODES NAICS sectors were aggregated into four employment categories previously defined by CDR in other employment-related datasets: Retail, Public School K-12, Service, and Other (Table 2-8).
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Table 2-8: NAICS Sector Jobs by Model Sector
CDR Sector LODES NAICS sector
Retail - Retail Trade
K-12 Public School
- No exact LODES NAICS match for this CDR sector. The NAICS sector Educational Services was incorporated both into services and included as a separate explanatory variable to determine its relative importance to CII demand.

Service
- Information
- Real Estate and Rental and Leasing
- Professional, Scientific and Technical Services
- Management of Companies and Enterprises
- Administrative and Support and Waste Management and Remediation Services
- Health Care and Social Assistance
- Arts, Entertainment, and Recreation
- Accommodation and Food Services
- Educational Services
Other
- Agriculture, Forestry, Fishing and Hunting
- Mining
- Utilities
- Construction
- Manufacturing
- Wholesale Trade
- Transportation and Warehousing
- Public Administration
The log of the percentage of each of these four sectors relative to total jobs was used as an explanatory variable to linearize the data and improve its suitability for modeling. For example, for the Retail sector in Equation 2-7.

𝑅𝑒𝑡𝑎𝑖𝑙=𝑙𝑜𝑔ቆ1 +ቀ100 ×௃௢௕௦ ௜௡ ௧௛௘ ஼஽ோ ௌ௘௥௩௜௖௘ ஼௟௔௦௦௜௙௜௖௔௧௜௢௡ ்௢௧௔௟ ௃௢௕௦ ቁቇ Equation 2-7 The CDR grouping Other was not included as an explanatory variable representing a reference point captured within the CII model intercept terms.

2.1.11 Housing Density
Housing density is negatively correlated with demand; on average, residences with more units per acre (or smaller parcel sizes) tend to use less water for outdoor uses. Housing density is calculated as the CDR provided housing units for each retail agency divided by the total single-family and multifamily parcel area, respectively. The total parcel area for each agency was determined based on processed GIS records from the Southern California Association of Governments (SCAG) and verified with ESRI’s Regrid Nationwide Parcel Boundaries for the United States. Table 2-9 shows the total parcel area for each agency.
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Table 2-9: 2024 Total Residential Acreage
Agency Single-family Residential Acreage Multifamily Residential Acreage Anaheim 9,977.09 4,912.70
Brea 1,811.03 482.29
Buena Park 2,466.53 476.03
East Orange 473.04 17.42
El Toro 1,088.96 1,753.94
Fountain Valley 2,337.74 205.75
Fullerton 6,162.68 1,148.85
Garden Grove 5,099.65 965.29
Gold Cowan 1,528.76 7.22
Gold Placentia 1,843.66 346.31
Gold West Orange 3,148.31 826.74
Huntington Beach 6,451.57 1,823.83
IRWD 19,932.92 6,120.52
La Habra 2,053.92 526.46
La Palma 454.42 42.67
Laguna Beach 1,448.16 384.09
Mesa Water 2,436.95 1,338.02
Moulton Niguel 9,375.38 2,232.31
Newport Beach 2,962.92 814.65
Orange City 5,841.42 1,165.48
San Clemente 4,091.96 722.78
San Juan Capistrano 4,087.79 545.10
Santa Ana 5,336.01 2,189.99
Santa Margarita 14,333.86 1,608.48
Seal Beach 542.81 513.34
Serrano 1,050.94 0.46
South Coast 2,088.12 584.61
Trabuco Canyon 1,754.56 30.76
Tustin 2,547.23 690.39
Westminster 2,541.25 680.32
Yorba Linda 6,556.85 508.99
Figure 2-5 shows the household density (households per acre) for each agency. (Serrano WD has no multifamily housing and the households per acre is abnormally high and is not shown.) 2025 Orange County Water Demand Projection Model

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Figure 2-5: 2024 Household Density (average households per acre) Multifamily density can be as much as an order of magnitude (i.e., ten times) higher than single-family density.

2.1.12 Persons per Household
Generally, households with more people tend to use larger amounts of water i.e. “persons per household” is an explanatory variable that is positively correlated with demand. The American Community Survey (ACS) is census-based data that provides information on housing units, total household population, and a breakdown of single-family and multifamily populations. ACS datasets are available at the census tract level. To derive ACS data specific to Orange County water agency boundaries, a geoprocessing approach was implemented to match census tract boundaries with MWDOC’s service area boundaries, as was done for employment data. Using the single-family and multifamily population split, an estimate of persons per household (PPH) for both single-family and multifamily housing was developed based on water agency boundaries
Hazen used ACS data because it calculates population in each single-family and multifamily household categories. CDR provides total population. To ensure consistency with the CDR provided housing unit and population data, the ACS-derived single-family and multifamily PPH estimates were calibrated to align with the CDR’s single-family and multifamily housing unit data.

The persons per household ratio was calculated separately for single-family and multifamily residences as shown in Figure 2-6.
0510152025303540AnaheimBreaBuena ParkEast OrangeEl ToroFountain ValleyFullertonGarden GroveGSWC CowanGSWC PlacentiaGSWC West OrangeHuntington BeachIRWDLa HabraLa PalmaLaguna BeachMesa WaterMoulton NiguelNewport BeachOrange CitySan ClementeSan Juan CapistranoSanta AnaSanta MargaritaSeal BeachSerranoSouth CoastTrabuco CanyonTustinWestminsterYorba Linda Households per AcreSF DensityMF Density
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Figure 2-6: 2024 Estimated Persons per Household
In general, single-family homes have more residents per household.

2.1.13 Households Per Account
The number of households is not always equal to the number of accounts. Higher units per account is associated with higher demands. Average annual units per account for each residential class was used to (a) account for differences in the number of units per account in the historical modeling and (b) to permit the translation of CDR projections of households to be translated into accounts for forecasting purposes.

2.1.14 Conservation
The MWDOC Water Use Efficiency Group (WUE) provided annual savings achieved by various active conservation measures (represented by rebate program participation from the start of that specific program to present) for each MWDOC member agency and the adjacent cities of Anaheim, Fullerton, and Santa Ana. The sum of residential and commercial programs yields the total active annual conservation for each retail agency. Many of these programs were not specified as residential versus CII and were difficult to label as either passive conservation (water savings that occur without incentives) or active conservation practices.

To avoid additional calculations and potential errors in the classification of historical conservation data, total historical conservation was depicted in each sectoral model as a linear increasing trend. The coefficient derived for this trend in the regression explains whether agency water use that could not be explained by the other explanatory variables tended to increase or decrease with time; decreases over time were attributed to conservation, independent of the effects of price.

00.511.522.533.544.5AnaheimBreaBuena ParkEast OrangeEl ToroFountain ValleyFullertonGarden GroveGSWC CowanGSWC PlacentiaGSWC West OrangeHuntington BeachIRWDLa HabraLa PalmaLaguna BeachMesa WaterMoulton NiguelNewport BeachOrange CitySan ClementeSan Juan CapistranoSanta AnaSanta MargaritaSeal BeachSerranoSouth CoastTrabuco CanyonTustinWestminsterYorba Linda Persons per HouseholdSF PPHMF PPH
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2.1.15 Drought Restrictions
The presence of drought restrictions tends to decrease the amount of water consumed by customers.

Water use restrictions were represented by the presence of Statewide drought declarations or mandatory restrictions (both assigned a binary value of 0 or 1, meaning either the restriction is in place or it is not), and the state-required cutback (as a decimal from 0 to 1 corresponding to the restriction percentage) if a restriction was in place. The time series of historical water restrictions is shown in Figure 2-7.

Figure 2-7: Time Series of Historical Water Restrictions Imposed by the State Retail agencies also provided their agency-specific drought stages, which were categorized as level 1, level 2, or level 3 and greater. During the model fitting process, Hazen determined that while the State Declarations resolved water use for the single-family, multifamily, and CII sectors, the agency-specific drought stages (which did not always coincide with the State binary or percentage requests) yielded a better fit across the irrigation sector models.

2.1.16 COVID
COVID is introduced as a binary variable for March 2020 through May 2023, the period in which the World Health Organization designated COVID-19 a pandemic. The presence of COVID restrictions tended to increase the amount of water consumed by residential customers and decreased the amount used in the CII sector.

0%5%10%15%20%25%30%35%40%45%50%011/1/20107/1/20101/1/20117/1/20111/1/20127/1/20121/1/20137/1/20131/1/20147/1/20141/1/20157/1/20151/1/20167/1/20161/1/20177/1/20171/1/20187/1/20181/1/20197/1/20191/1/20207/1/20201/1/20217/1/20211/1/20227/1/20221/1/20237/1/20231/1/20247/1/2024Requested Drought Reduction Drought Declaration or RestrictionState DeclarationState Mandatory RestrictionState Requested Reduction (%)YesNo 2025 Orange County Water Demand Projection Model

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3. Model Approach and Development
The development of historical econometric models provides a significant analytical benefit for forecasting demand, as Historical models enable the capture of cause-and-effect relationships among weather, prices, socioeconomic factors, and other factors that drive water demand variability. Quantifying these causal relationships enables forensically sound analysis of “what-if” scenarios that are uncertain but important for planning considerations (for example, climate change, development patterns, and drought recovery).

3.1 Modeling Approach
The econometric demand model relies on the comprehensive set of historical water use data discussed in Section 2 to develop a set of equations that equates total water use to the rate of water use per driver multiplied by the specific sectoral driver (Equation 3-1). Each of the four demand sectors modeled (single-family, multifamily, CII, and irrigation) has a separate equation.

𝑊𝑎𝑡𝑒𝑟 𝑢𝑠𝑒
𝑄 =𝐷𝑟𝑖𝑣𝑒𝑟 𝐶𝑜𝑢𝑛𝑡
𝑁 ×𝑅𝑎𝑡𝑒 𝑜𝑓 𝑈𝑠𝑒 𝑝𝑒𝑟 𝐷𝑟𝑖𝑣𝑒𝑟
𝑞 Equation 3-1 Driver units for a particular demand sector (e.g., household water accounts or employment) will change in the future. The rate of water use per driver (e.g. gallon/account/day) is based on the historical response of the water use rate to the explanatory variables (independent variables in the econometric equations) and on the future values of those explanatory variables.

Linear regression produces the coefficients for each explanatory variable to closely reproduce the historical rate of use per driver unit. Equation 3-2 shows an example linear regression for single-family water use, where water rates and temperatures are examples, and represent only a subset of possible explanatory variables. CR and CT represent the water rate coefficient and temperature coefficient, respectively.

𝑅𝑎𝑡𝑒 𝑜𝑓 𝑈𝑠𝑒 𝑝𝑒𝑟 𝐷𝑟𝑖𝑣𝑒𝑟=ு௜௦௧௢௥௜௖௔௟ ௌ௜௡௚௟௘ ி௔௠௜௟௬ ௎௦௘
ௌ௜௡௚௟௘ ி௔௠௜௟௬ ஺௖௖௢௨௡௧ =𝐶ூ௡௧௘௥௖௘௣௧+ 𝐶ோ×
𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑊𝑎𝑡𝑒𝑟 𝑅𝑎𝑡𝑒𝑠+ 𝐶் ×𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑇𝑒𝑚𝑝𝑒𝑟𝑎𝑡𝑢𝑟𝑒𝑠+ … Equation 3-2 Panel fixed effects ordinary least squares (OLS) regression is used to estimate the coefficients that relate multiple independent explanatory variables (such as weather and water price) to the dependent variable (water user per account) by minimizing the sum of the squares in the difference between observed and predicted values of the water use rate. OLS regression can be coded to incorporate:
• A systematic and predictable relationship between the explanatory variable and use per account; • Agency-specific coefficients (the effect of seasonal trends might differ between agencies); and • Potential interdependence, or interactions, between fixed effects (for example, the dependence of water use on price may differ depending on the season). 2025 Orange County Water Demand Projection Model

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The derivation of appropriate coefficient values (both sign and magnitude) through regression requires sound judgment of demand behavior and the inclusion of numerous explanatory variables to address multiple influences on demand. Figure 3-1 illustrates that excluding key explanatory variables from the regression, which account for reasons not associated with responses to price (such as mandatory state restrictions or local conservation), could incorrectly attribute changes in demand to the volumetric price of water (i.e., incorrectly magnifying the effect price has on demand).

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Figure 3-1: Improving Coefficient Accuracy by Addressing Multiple Demand Factors 20142015201620172018201920202021202220232024Price of Water ($/CCF) Gallons/Account/DayWater use per AccountWater PriceCOVID38Assigning a coefficient to water price without accounting for COVID could bias the price coefficient Long term decrease in water use and increase in water price: we expect water use to be negatively correlated to priceAssigning a coefficient to water price without accounting for drought restrictions would generate a price coefficient that is too negative20142015201620172018201920202021202220232024Price of Water ($/CCF) Gallons/Account/DayWater use per AccountWater Price20142015201620172018201920202021202220232024Price of Water ($/CCF) Gallons/Account/DayWater use per AccountWater PriceDroughtDrought 2025 Orange County Water Demand Projection Model

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There are additional expectations for model coefficients affiliated with the explanatory variables that helped in model development. Estimated coefficients needed to be rational (both in signs and magnitudes), aligning with Hazen’s experience and yielding as high of an explanatory power as practically possible. Orange County water use varies widely by geography (agency) and time. A panel regression modeling approach is best suited to explicitly account for variables that have historically varied highly across geography but not time (for example, median income, persons per household, and housing density). The panel approach enhances forecast accuracy for each agency by simultaneously fitting consumption data from all member agencies. The larger sample size enables more robust fits for agencies with data gaps. All agencies still receive their own unique statistical equations and outputs, although some coefficients may apply to all (or be the same across) agencies. Because consumption data was not consistently available back to 2010 for all member agencies, the dataset represents what is called an “unbalanced panel” (not all retail agencies have the same number of observations for the same time periods), requiring these special techniques to account for missing information and potential cross- sectional biases.

3.2 Model Development
The development of econometric models is an iterative process as outlined in Section 3.2.1. Model fitting results in a set of explanatory variables used to forecast water use. In Section 3.3, model fits and performance are organized by water-use sector.

3.2.1 Model Fitting
Table 3-1 outlines the model fitting process.

Table 3-1: Iterative Process for Developing Econometric Models Model Fitting Procedure Description
Pre-process model input data
Conduct necessary pre-processing calculations prior to model fitting:
 Geographical processing of driver units.
 Calculate per-unit use.
 Calculate natural logarithms of per-unit use and
appropriate explanatory variables.
 Calculate departures from normal conditions for
appropriate explanatory variables (i.e., economic trend and weather).
 Calculate any index, “dummy”, or interacted parameters (e.g., seasonal cycle, geography, drought severity).
 Smooth monthly and bimonthly data to adjust for
irregular billing cycles.

Fit regression models for each sector
Use statistical estimation software (e.g., R, SAS, EViews) to fit linear regression equations to per unit use with the initially selected explanatory variables.

Examine coefficient estimates and measure
of fit
Check measures of fit (such as R2) and coefficient values for reasonable magnitude, direction/sign, and significance. 2025 Orange County Water Demand Projection Model

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Model Fitting Procedure Description
Refine the model to improve measures of fit
and coefficient estimates
If the model fit is poor or if coefficient estimates are illogical or insignificant, several actions can be taken, including but not limited to:
 Identifying and removing outlier data points that have significant leverage on coefficient estimates.
 Remove explanatory variables with insignificant or
illogical coefficient estimates from the regression
equation.
 Testing alternate specifications of explanatory variables.

Check models for cross-sector consistency
Model fits and explanatory variables are compared across sectors to judge estimates relative to prior expectations, for example, testing if the relative effects of price and socioeconomic variables vary by sector in a logical way based on past experience.

The models are fit to historical data using a combination of data management and statistical analysis software (R, SAS, or EViews). The model estimation results were checked to ensure strong measures of fit (e.g., R2) and that coefficients were significant and reasonable. Goodness of fit is a holistic exercise requiring judgement based on two classifications of indicators:
1) Overall summary statistics used to evaluate relative model performance: these may include R2, Measures of average error (mean absolute error, standardized error metrics such as SAME and RMSE), and measures of bias; and
2) Visual inspection applied to plots of historical data provides an indication of the model’s ability to represent long-term trends, perform as expected during periods of interest (for example, COVID and State water use restrictions), allows the modeler to evaluate the presence of systematic biases and assess the variance in the underlying data.

Section 3.3 summarizes the statistical model fits and their performance in comparison to historical observations of water consumption.

3.2.2 Summary of Explanatory Variables
The initial selection of explanatory variables is discussed in detail in Section 2. However, during the model fitting process, derivatives of initially selected variables were also developed and included in model equations. For example, an agency’s monthly water use may also be influenced by the precipitation, or temperature, in the prior month. In some cases, time lags of 1 to 3 months in weather variables improved the estimation of weather impacts on demand.

Table 3-2 details the explanatory variables used to develop the demand models and identifies the expected sign and magnitude of the coefficient estimates resulting from the linear regression. The coefficient sign represents whether an explanatory variable will have a negative or positive impact on demand, for example, water use will decrease as price increases and the price coefficient should be negative. The coefficient magnitude illustrates the importance of the explanatory variable relative to all others. For example, a persons per household coefficient of 0.3 indicates that persons per household has a lesser influence on demand than a coefficient of -0.5 assigned to density. 2025 Orange County Water Demand Projection Model

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Table 3-2: Description of Demand Model Explanatory Variables Explanatory Variable Log
Transformed?
Expectations
about
Coefficient
Estimates
Description
Departure from normal monthly
maximum temperature (lagged
values of temperature were also
evaluated and included as
explanatory variables as the
influence of weather on water
demand can persist for several
months.)
Yes Positive Sign
Represents the difference from
long-term temperature. Higher than
normal temperatures are
associated with increased
demands.

Departure from normal monthly
precipitation (lagged values
precipitation were also evaluated
and included as explanatory
variables as the influence of
weather on water demand can
persist for several months.)
Yes Negative sign
Represents the difference from
long-term precipitation. Higher than
normal rainfall is associated with
lower demands.

Seasonal index No
Larger
magnitudes for
agencies with
greater seasonal
peaking
Reflects the cyclical pattern in
water use, where demands are
generally higher in the summer and
lower in the winter. Represented in
the model as a sine / cosine pair of
variables. (Most sectors have a
single sine/cosine pair representing
the seasonal cycle).

Price Yes
Negative sign
with absolute
value between 0
and 1
Economic theory suggests
negative correlation with demand.

GDP Yes Positive Sign
Water demand is positively
correlated with economic
fluctuations of the business cycle.

The index is modeled as
departures from long-term trends.

Mix of jobs across industries Yes N/A
The representation of jobs in many
industries within a geographical
area is related to the amount of
water used within the CII sector.

There is generally no expectations
on the range of coefficient
estimates.

Housing density Yes
Negative sign
(commonly
between 0 and -
1)
Housing density is negatively
correlated with demand; on
average, residences with more
units per acre (or smaller parcel
sizes) tend to use less water on
outdoor uses.
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Explanatory Variable Log
Transformed?
Expectations
about
Coefficient
Estimates
Description
Median income Yes
Positive sign
(commonly
between 0 and 1)
Economic theory suggests positive
correlation of income with demand;
generally geographical areas with
higher median incomes tend to use
more water.

Persons per household Yes
Positive sign
(commonly
between 0 and 1)
Positively correlated with demand;
generally, residences with more
people tend to use larger amounts
of water
Water Use Restrictions No Negative sign Reflects the effect of drought restrictions
Most explanatory variables are log-transformed because some variables are orders of magnitude larger than others (for example, income is in the tens of thousands of dollars while monthly precipitation may be smaller than 1 inch). Log transformation compresses the large values and spreads out smaller ones, balancing the data and facilitating the regression’s ability to interpret how each variable affects demand.

3.3 Single-family Regression Development
This section reviews the development of the statistical regression for the single-family residential sector.

3.3.1 Explanatory Variables and Fitted Coefficients
The fit for the final single-family regression is presented in Table 3-3. While all coefficients are generated with the panel regression approach, Hazen relied on experience and the model fitting process to allows some coefficients to vary by agency (shown as a range of values) and restricted some to be constant across all agencies (and a single value is shown in Table 3-3). Coefficient estimates are within the expected range for all explanatory variables).

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Table 3-3: Single-family Regression Variables and Coefficients Explanatory Variable General Directional Influence Model Coefficient Range Persons per Household + 0.32
Single-family Units per Account + 0.52
Housing Density - -0.52
Average Agency Income + 0.09
Marginal Price (per 10 CCF) - -0.12
Departure from normal monthly
maximum temperature + 0 to 0.93
Departure from normal monthly
maximum temperature (lagged 1 month) + 0 to 0.95
Departure from normal monthly
precipitation - 0 to -0.031
Departure from normal monthly
precipitation (lagged 1 month) - 0 to -0.05
Departure from normal monthly
precipitation (lagged 2 months) - 0 to -0.023
Departure from normal monthly
precipitation (lagged 3 months) - 0 to -0.0139
Residual Trend - -0.0027 to 0.0003
COVID Indicator + 0.02 to 0.15
State Requested Percent Restriction - 0 to -0.81
State Drought Declaration - -0.08 to 0.01
Variables with an increasing effect on water demands included temperature, economic index, median income, and persons per household. Variables with a negative effect on water demands included precipitation, price, housing density, and water-use restrictions. Consumption is highly seasonal in the Orange County region, and the econometric model correlates well to seasonality and temperature. The single-family sector model produced the best fit among the four demand sectors.

3.3.2 Historical Model Performance
Visual inspection of the time series plots and review of the model fit parameters showed good performance across all agencies. Figure 3-2 shows an example model fit for a single retail agency in the single-family sector in gallons per account per day. The model accounts for all dips in demand. 2025 Orange County Water Demand Projection Model

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Figure 3-2: Modeled vs Historical Water Use per Account for Single-Family for One Agency The R2 values for all retail agencies are all above 80%, which indicates that the explanatory variables used in the model as well as their multipliers (model coefficients) explain 80% or more of the historical variability in the single-family use per account measurements.

3.4 Multifamily Regression Development
This section reviews the development of the statistical regression model for the multifamily residential sector.

3.4.1 Explanatory Variables and Fitted Coefficients
Most explanatory variables for the multifamily sector are the same as for the single-family sector. Median income and a 2-month lagged departure from precipitation were dropped. These modifications to the model design resulted in stronger measures of fit and more reasonable coefficient estimates. Final coefficient estimates presented in Table 3-4 are within the expected range for all explanatory variables

0501001502002503003504004505005501/1/20101/1/20111/1/20121/1/20131/1/20141/1/20151/1/20161/1/20171/1/20181/1/20191/1/20201/1/20211/1/20221/1/20231/1/2024 Single-family Gallons per Account per DayObservedModeled 2025 Orange County Water Demand Projection Model

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Table 3-4: Multifamily Regression Variables and Coefficients Explanatory Variable General Directional Influence Model Coefficient Range PPH + 0.5 (restricted)*
Housing Density - -0.33
MF Units per Account + 0.79
Marginal Price (per 20 CCF) - -0.035
Departure from normal monthly
maximum temperature + 0 to 1.07
Departure from normal monthly
maximum temperature (lagged 1
month)
+ 0 to 1.46
Departure from normal monthly
precipitation - 0 to -0.04
Departure from normal monthly
precipitation (lagged 1 month) - 0 to -0.06
Residual Trend - -0.007 to 0.0017
COVID Indicator + -0.05 to 0.14
State Requested Percent Restriction - -0.8 to 0.32
State Drought Declaration - -0.16 to -0.04
*The persons per household coefficient was set to 0.5, which was lower than the initial econometric estimate (which was >1). This change avoided instabilities, with little effect on the other coefficient estimates.

The multifamily use per account is less influenced by water price than single-family (lower coefficient).

3.4.2 Historical Model Performance
Visual inspection of the time series plots and review of the model fit parameters showed good model performance, with most fits exceeding an R2 of 80%. Figure 3-3 shows the performance of the multifamily regression for an example agency.
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Figure 3-3: Modeled vs Historical Water Use per Account for Multifamily for an Agency Multifamily use is generally less responsive to weather than the single-family demands; some of the outdoor use has been shifted over into the irrigation sector, and the reported multifamily use is primarily indoor.

3.5 CII Regression Development
Different billing classification schemes among retail agencies introduced definitional uncertainty in sectoral water use and driver units. For example, certain agencies lacked a distinct industrial billing classification while others combined commercial and institutional categories. Additional verification of water use at the account level was not possible, given the data constraints for this project. In response to these constraints and uncertainties, total use within the commercial, industrial, and institutional sectors was consolidated into a single composite CII regression. The benefit of combining these classifications is a more “parsimonious representation” (i.e., a simpler, clearer approach) with one sector, while providing a means to use the mix of industries to explain CII water-use variability across retail agencies.

3.5.1 Explanatory Variables and Fitted Coefficients
Explanatory variables for the final CII regression equation, along with their coefficients, are reported in Table 3-5.

010002000300040005000600070001/1/20101/1/20111/1/20121/1/20131/1/20141/1/20151/1/20161/1/20171/1/20181/1/20191/1/20201/1/20211/1/20221/1/20231/1/2024 Multifamily Gallons per Account per DayObservedModeled
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Table 3-5: CII Regression Variables and Coefficients
Explanatory Variable General Directional Influence Model Coefficient Range Proportion of Total Jobs in Retail + 0.42
Proportion of Total Jobs in Education + 0.287
Proportion of Total Jobs in Services + 0.294
GDP + 0.81
Marginal price (per 20 CCF) - -0.114
Departure from normal monthly maximum
temperature + 0 to 1.63
Departure from normal monthly maximum
temperature (lagged 1 month) + 0 to 0.7
Departure from normal monthly precipitation - 0 to -0.50 Departure from normal monthly precipitation
(lagged 1 month) - 0 to -0.06
Departure from normal monthly precipitation
(lagged 2 month) - 0 to -0.034
Residual Trend - -0.01 to 0.01
State Requested Percent Restriction - -0.24 to 0.17
The coefficients for CII indicate the job proportion used: total services portion, total education portion, and total retail portion. CII use per job is positively correlated with each job proportion as well as gross domestic product throughout Orange County.

3.5.2 Historical Model Performance
Visual inspection and performance metrics showed good model performance, including the same seasonal cycle and quantities. Like other classes, most fits exceed an R2 of 80%. Figure 3-4 shows the model performance for an example agency.
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Figure 3-4: Modeled vs Historical Water Use per Account for CII Use for an Agency

3.6 Irrigation Regression Development
This section reviews the development of the statistical regression model for the irrigation sector. Both potable and recycled irrigation water demands were included in the analysis.

3.6.1 Explanatory Variables and Fitted Coefficients
Explanatory variables for the final Irrigation regression equation, along with their coefficients, are reported in Table 3-6.

Table 3-6: Irrigation Regression Variables and Coefficients Explanatory Variable General Directional
Influence Model Coefficient Range
Marginal Price (per 20 CCF) - -0.14
Normal monthly maximum temperature + 0 to 2.58
Normal monthly maximum temperature (lagged
1 month) + 0 to 2.34
Normal monthly precipitation - 0 to -0.13
Normal monthly precipitation (lagged 1 month) - 0 to -0.11 Normal monthly precipitation (lagged 2 month) - 0 to -0.068 Agency Stage 1 - -0.46
Agency Stage 2 - -0.13
Agency Stage 3 - -0.37
COVID -0.18 to 0.26
0204060801001201401601/1/20101/1/20111/1/20121/1/20131/1/20141/1/20151/1/20161/1/20171/1/20181/1/20191/1/20201/1/20211/1/20221/1/20231/1/2024 CII Gallons per Account per DayObservedModeled
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During the model fitting process, historical precipitation values were found to generate a better fit than departures from normal weather precipitation. Additionally, irrigation use is better defined by agency- declared stages than by State declarations. Irrigation is much more responsive to temperature and precipitation than the other sectors, as expected.

3.6.2 Historical Model Performance
Visual inspection and performance metrics showed good model performance, matching the seasonal cycles and quantities with high overall accuracy. Figure 3-5 shows the model performance for an example agency.

Figure 3-5: Modeled vs Historical Water Use per Account for Irrigation for an Agency

3.7 Price Elasticity
The sensitivity of the quantity of water demand to a change in its price is known as the price elasticity.

The sector-specific results showed average price elasticities across the year, but the demand models allow the elasticity to vary by time of year. As water use becomes more discretionary in the summer, the estimated price elasticity (the response to price changes) tends to increase. Comparison of the four elasticity values in Figure 3-6 reveals that multifamily demand is the least price-responsive (i.e., the least elastic of the demand sectors). The other sectors show a blend in terms of when the price signal starts mattering more. For single-family use, price changes have a large impact in late spring and early summer.

Prices for CII and irrigation have the biggest impact in the summer (irrigation price elasticity approaches a coefficient of -0.25, which means that a 1% increase in the volumetric price of water leads to a 0.25% decrease in water use per account). The average regional response to price varies for a given sector over the calendar year.
01000200030004000500060001/1/20101/1/20111/1/20121/1/20131/1/20141/1/20151/1/20161/1/20171/1/20181/1/20191/1/20201/1/20211/1/20221/1/20231/1/2024 Irrigation Gallons per Account per DayObservedModeled
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Figure 3-6: Estimated Seasonal Price Elasticities by Demand Sector for Orange County Water Agencies Even though the model coefficient for price is equal for each agency across all four sectors, the actual water rate data each agency provided is in the panel dataset, so the data by which this price coefficient is multiplied differs. Additionally, agencies adopt different block structures (different prices for the 10th or the 20th CCF) over time. Both the spatial and temporal variability in water rates allows us to estimate these elasticities, even though the coefficients are applied at the regional level.

3.8 Model Development Summary
The econometric regressions show strong performance in explaining historical patterns of consumption over the 15 years from 2010 to 2024, including two major droughts and the COVID pandemic. Most of the regressions had R-squared values of 0.80 or greater. None of the regressions demonstrated a large, consistent bias. Based on this analysis, the estimated regression equations reflect a suitable basis for forecasting.

The overall model approach allows for demand forecast scenario analysis based on varying assumptions of future conditions. Several forecast scenarios may be explored, including climate change-adjusted weather, alternate assumptions around the timing and magnitude of drought recovery, alternate assumptions around urban development, and/or different assumptions around future economic conditions.

For any of these future scenarios, the model coefficients presented in this section should be maintained as they reflect the best-fitted estimates of the causal relationships between external socioeconomic conditions and historical water demand, given the available modeling data.

Model scenarios can also be developed to address uncertainties in future explanatory variables, such as housing/job growth and density. Future inputs in these scenarios could be conducted as a sensitivity analysis or be driven by alternate growth projections. On a regular basis, overall model performance -0.3-0.25-0.2-0.15-0.1-0.0501 2 3 4 5 6 7 8 9 10 11 12Estimated ElasticityCalendar MonthSingle-FamilyMultifamilyCIIIrrigation 2025 Orange County Water Demand Projection Model

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should be evaluated. Annually, forecasted consumption and input assumptions (driver unit counts, economic conditions, water rates, etc.) can be compared with observed conditions as data becomes available to monitor predictive performance. Less frequent (approximately every 5 years), model explanatory variables should be re-evaluated. Major events, such as another drought or a severe economic recession, may necessitate reexamination and/or refitting model coefficients and may cause changes in longer-term expectations over the forecast period.
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4. Future Demand Analysis
The four sector-specific econometric models are used to establish baseline demand projections from 2025 to 2050 at a monthly timestep for each retail agency1. Prior to forecasting, the models are calibrated to a specific observation year, and other uses are quantified (other uses are miscellaneous uses not included in the original four demand sectors).

Hazen worked with each agency separately to change the calibration factors or household and job variables to yield a forecast start year value (Fiscal Year 2024-2025) that was reasonably close to agency observations. Calibration refers to adjustments for residual biases in the output of fitted econometric models to establish a historical point in time to anchor projections of the future to a recent, representative historical period for each agency and sector. The calibration approach implemented a simple scalar calibration at the per‑account (rate‑of‑use) level for each agency and sector. The use of simple scalar (i.e., a constant multiplicative factor) preserves the econometric relationships (e.g., weather and price elasticities) while removing differences/errors in the statistical model predictions for the selected calibration period.

For each member agency and model sector a calibration factor was calculated as the ratio needed to make the model’s average predicted per‑unit use equal the observed per‑unit use over the selected calibration period. Calculated factors were then applied multiplicatively to all forward-looking monthly rate‑of‑use predictions. Model output for each sector (water use per unit) was multiplied by calibration factors to account for biases in the historical model fits. Calibration factors were derived from the ratio of predicted to observed water demand for historical normal weather years for each retail agency, or historical water demand based on agency-requested time periods (Equation 4-1).

𝐶𝑎𝑙𝑖𝑏𝑟𝑎𝑡𝑖𝑜𝑛 𝐹𝑎𝑐𝑡𝑜𝑟=ு௜௦௧௢௥௜௖௔௟ (௢௕௦௘௥௩௘ௗ) ௪௔௧௘௥ ௨௦௘
ெ௢ௗ௘௟௘ௗ (௣௥௘ௗ௜௖௧௘ௗ) ௪௔௧௘௥ ௨௦௘ Equation 4-1 Calibration factors were unique to each retail agency and sector and are summarized in Table 4-1.

Table 4-1: Calibration Factors
Agency SF Calibration
Factor
MF Calibration
Factor
CII Calibration
Factor
Irr Calibration
Factor
Anaheim 0.99 0.99* 1.09* 0.78
Brea 1.00 1.00 0.98 1.08
Buena Park 0.99 0.99 1.04 0.97
East Orange CWD 1.06 0.99 0.99 0.99
El Toro WD 1.00 1.00 1.02 0.69
Fountain Valley 1.03 1.01 1.04 0.33
Fullerton 1.01 1.00 0.98 0.99
Garden Grove 1.02 1.01 1.32 0.99

1 Due to the timing of the project, water use data were collected up to December 2024. The model projections begin in January 2025.
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Agency SF Calibration
Factor
MF Calibration
Factor
CII Calibration
Factor
Irr Calibration
Factor
GSWC Cowan 0.97 1.00* 0.00 0.91
GSWC Placentia 1.00 1.43* 0.00 0.93
GSWC Orange 0.98 1.33* 0.55 0.97
Huntington Beach 1.00 0.93 0.98 0.80
Irvine Ranch WD 1.01 0.99* 0.85* 0.66
La Habra 1.01 0.99 1.02 1.01
La Palma 1.00 1.00 1.00 1.00
Laguna Beach CWD 0.97 1.00 1.10 0.84
Mesa WD 1.00 1.00 1.01 1.00
Moulton Niguel 1.02 1.01 0.26 1.08
Newport Beach 1.03 1.01 1.08 0.77
Orange City 1.00 1.00* 0.94* 1.11
San Clemente 1.01 1.00 0.99 0.64
San Juan Capistrano 1.00 0.93 1.00 0.96
Santa Ana 1.03 1.01 1.00 1.39
Santa Margarita WD 1.00 0.99 0.61 0.83
Seal Beach 0.95 0.97 1.01* 1.01
Serrano WD 1.07* 0.00 0.00 1.05
South Coast 1.03 0.99 1.14 0.66
Trabuco Canyon WD 0.96 0.93 1.00 0.68
Tustin 1.02 1.00 1.04 0.99
Westminster 1.00 1.17 0.99 1.05
Yorba Linda WD 1.07 1.08 1.03 1.02
*Agencies have several billing sectors within this demand sector and have several different calibration factors in their specific spreadsheet model
Total water use was summed for each sector to derive annual total use for each agency (Equation 4-2).

𝐹𝑜𝑟𝑒𝑐𝑎𝑠𝑡 𝑊𝑎𝑡𝑒𝑟 𝑈𝑠𝑒=∑ 𝐷𝑟𝑖𝑣𝑒𝑟 𝐶𝑜𝑢𝑛𝑡×𝑈𝑠𝑒 𝑝𝑒𝑟 𝐷𝑟𝑖𝑣𝑒𝑟×𝐶𝑎𝑙𝑖𝑏𝑟𝑎𝑡𝑖𝑜𝑛ி௢௨௥ ஽௘௠௔௡ௗ ௌ௘௖௧௢௥௦ Equation 4-2 Other uses are predominantly low flows and include fire flows, temporary meters, construction and power uses, and losses. Equation 4-3 shows these computed as a fraction of the annual total use after calibration.

𝑂𝑡ℎ𝑒𝑟 𝑈𝑠𝑒 % = (஽௘௟௜௩௘௥௘ௗ ି஻௜௟௟ )
஻௜௟௟௘ௗ Equation 4-3 Table 4-2 quantifies the other uses for each agency.

Table 4-2: Other Uses by Agency
Agency Other Use (Percent of Volume Billed)
Anaheim 3%
Brea 7%
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Agency Other Use (Percent of Volume Billed)
Buena Park 8%
East Orange CWD 12%
El Toro WD 3%
Fountain Valley 6%
Fullerton 4%
Garden Grove 8%
GSWC Cowan 6%
GSWC Placentia 6%
GSWC Orange 6%
Huntington Beach 11%
Irvina Ranch WD 5%
La Habra 4%
La Palma 4%
Laguna Beach 8%
Mesa Water 13%
Moulton Niguel 5%
Newport Beach 8%
Orange City 6%
San Clemente 4%
San Juan Capistrano 6%
Santa Ana 6%
Santa Margarita WD 4%
Seal Beach 4%
Serrano WD 5%
South Coast WD 2%
Trabuco Canyon WD 16%
Tustin 12%
Westminster 8%
Yorba Linda WD 10%
Calibrated models with other uses are used to forecast future total water use2.

4.1 Baseline Scenario Assumptions
Future growth in driver units (housing and jobs) was tied to CDR projections through 2050. Future conditions for all other explanatory variables were selected to represent expected changes or to remain constant. Table 4-3 summarizes the baseline demand scenario assumptions for driver units and explanatory variables.

2 Values of calibration factors (Table 4-1) and other uses % (Table 4-2) may change from these initial values as agencies refine their individual model.
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Table 4-3: Future Model Parameters and Assumptions for Baseline Demand Forecast Data Category Variable Source Assumptions
Driver Units
Single-family and
multifamily accounts CDR
Historical households per account; averages
are multiplied by households projected by
CDR
Irrigation accounts Agency Billing
Data
Accounts are assumed to be constant into
the future
Sectoral employment CDR Proportion of jobs within CII sectors projected by CDR
Explanatory
Variables
Monthly Maximum
Temperature and Total
Precipitation
PRISM 30-year historical normal weather
Water Price Retail Agencies
Prices increase by 3% per year above
inflation for 2025-2030 and keeps pace with
inflation thereafter (zero difference from
inflation trend)
Water Use Restrictions State & Local
Restrictions None
Seasonality Sine/cosine functions to capture monthly
pattern
Median income US Census Constant income at 2022 value (real dollars) Housing density CDR
Derived from CDR housing unit projections,
assuming residential area remains at 2024
levels
Persons Per Household CDR CDR projected demographics
Gross Domestic Product Federal
Reserve Long-term GDP trend
Relative Sectoral
Employment CDR Calculated based on CDR projections
Passive Efficiency
Estimates Flume Insight
Assumes a 2% decrease in residential
demand due to conservation by 2030
(linearly extrapolated), then no change
COVID Binary Indicator None (occurred between March 2020 and May 2023)
Future assumptions were defined for every element of the water demand models, including sectoral driver units and explanatory variables.

4.2 Development of Forecast Inputs
Data sources documented in this section are limited to projected future datasets.

4.2.1 Retailer Driver Units
Driver units reflect the size or scale of a water use sector and allow for differentiation of the rate of use from total consumption. CDR provided the Orange County Projections 2022 (OCP-2022) as an update of the 2018 Orange County Projections. OCP-2022 estimates single-family residential housing units, 2025 Orange County Water Demand Projection Model

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multifamily residential housing units, jobs by sector, and total population at five-year intervals from 2025 through 2050.

CDR job projections were available at census tract level geographies, which required geoprocessing to retail service area boundaries. Geoprocessing was performed using GIS overlays of census tract boundaries and retail agency service area boundaries to aggregate CDR projections by retail agency as described in Section 2. CDR projections at the retailer level did not always align in magnitude with the historical driver units. To ensure consistency between historical and future datasets, the future time series for driver units were developed by calculating the rate of change in the CDR projections and applying the corresponding CDR rate of change to the last historical value of the driver units.

The econometric forecast models were developed using individual retail agencies’ socioeconomic data.

The averaged Orange County trends were examined for their potential impacts on future demands. Figure 4-1 shows that average persons per household decreases and average household density increases. These trends are expected to provide decreased residential demand. Residential coefficients are positive for PPH, indicating demand will decrease as PPH decreases. Residential coefficients are negative for household density, indicating demand will decrease as housing density increases.

Figure 4-1: Historical and Projected Demographic Values for Orange County (2010 – 2050) The decrease in demand inferred from the future explanatory variable values may be counteracted by the forecasted increase in driver units. Within the residential sector, average multifamily household growth exceeds average single-family household growth. Figure 4-2 demonstrates that between 2025 and 2030, projected multifamily households increase substantially while single-family households show very little growth.

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Figure 4-2: Historical and Projected Household Growth for Orange County (2010 – 2050) CII demand is expected to increase corresponding to a projected average increase in jobs throughout Orange County (Figure 4-3).

Figure 4-3: Historical and Projected Job Numbers for Orange County (2002 – 2050) Although the counteracting explanatory variable values and driver units indicate that demands may remain flat into the future, variations in demand by sector exist at the retail agency level and underscore the importance of the econometric models for each agency.

4.2.2 Weather and Climate
For the model baseline scenario, future precipitation and temperature values were assumed to be equal to historical normal values. Historical normal values were calculated as the average monthly values based on all values from 1991 to 2024. The demand model uses departures from historical normal precipitation and temperature for the residential and CII forecasts and unadjusted historical normal precipitation and temperature for the irrigation forecasts. Given this, future weather inputs in the residential and CII 0100,000200,000300,000400,000500,000600,000700,000800,000Jan-10Jun-15Dec-20Jun-26Nov-31May-37Nov-42May-48Single Family HouseholdsHistoricalProjected0100,000200,000300,000400,000500,000600,000700,000800,000Jan-10Jun-15Dec-20Jun-26Nov-31May-37Nov-42May-48Multi-family HouseholdsHistoricalProjectedJanuary 2025 – January 2030 1,000,0001,200,0001,400,0001,600,0001,800,0002,000,00020022005200820112014201720202023202620292032203520382041204420472050 CDR Projected JobsHistoricalProjected
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forecasts are reflected by projected departure values of 0 for the precipitation and temperature variables.

Future weather inputs for the irrigation sector consist of monthly normal precipitation values.

Alternative demand scenarios (Section 5) consider the potential effects of climate change on precipitation and temperature using CMIP6 data from CalAdapt. CMIP6 represents the sixth phase of the World Climate Research Program (WCRP) Coupled Model Intercomparison Project (CMIP) and includes 134 models from 53 modelling centers. CMIP6 relies on Shared Socio-economic Pathways (SSPs) that describe plausible futures of societal development and impacts on greenhouse gas emissions. A 2021 report explains why the CalAdapt models best represent the California climate.3

4.2.3 Water Price
Projections of future water rates were included as an explanatory variable in the water demand model.

The future values for water prices assumes 5 years of a 3% (above inflation) increase in price per year, after which prices are held at nominal prices adjusted for inflation. Additional water pricing scenarios can be generated as agencies formulate and become more certain about future price paths.

4.2.4 Detrended Economic Factor
The future economy was assumed to run at its long-run trend rate of growth; thus real GDP is assumed to increase at the long-term rate. The detrended GDP value used to project future demands is 0, indicating no difference from the long-term GDP growth.

4.2.5 Median Income
Median income was included as an explanatory variable in the water demand model. Median income by retailer was held constant at the historical 2024 level, denominated in inflation-adjusted 2022-dollar values.

4.2.6 Housing Density
Housing density was included as an explanatory variable in the single-family and multifamily residential model sectors. Separate variables were created for single-family housing density and multifamily housing density. The baseline density projection assumed a “build up” scenario where housing units could vary within a constant land area, thereby affecting average density. Future values for the density variables are derived from the projected number of single-family or multifamily housing units (Section 2) divided by the land area classified as residential land use within the retail service area boundary (which is assumed to stay constant throughout the forecast).

3 Interim Deliverable for EPC-20-006, Prepared by: Will Krantz, David Pierce, Naomi Goldenson, Danile Cayaan; November 29, 2021
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4.2.7 Persons Per Household
The ACS-derived single-family and multifamily PPH estimates were calibrated to align with the CDR’s single-family and multifamily projected housing unit data.

4.2.8 Relative Sectoral Employment
Ratios of sectoral employment were included as explanatory variables in the CII model sector. These sectoral employment ratios represent the estimated mix of CII activity within each retail service area. The projected number of jobs by sector was obtained from the 2025 CDR projections of four aggregated NAICS sectors.

4.2.9 Seasonality
Seasonal indices were included as explanatory variables in the water demand model. These seasonal indices are represented in the model as a sine/cosine pair of variables to capture the cyclical monthly pattern in water use, where demands are generally higher in the summer and lower in the winter. Most sectors had a single sine/cosine pair representing the seasonal cycle; some have two sine/cosine pairs to more effectively capture seasonal effects associated with the academic calendar. These factors are maintained for the forecast horizon.

4.2.10 Conservation
The 2021 Orange County Residential Water Efficiency Potential and Opportunities Study (2021 Study) assumes that total County-wide passive conservation in the residential sectors will increase by 695 acre- feet per year through 2030, after which it will remain constant. The conservation increase to 2030 represents a 1.9% decrease in annual demand, as shown in Table 4-4.

Table 4-4: Projected County-wide Passive Conservation4
Year Residential Demand (AFY) Passive Conservation Volume (AFY)
Percent Demand
Reduction
2025 222,572 695 0.31%
2026 222,572 1390 0.62%
2027 222,572 2085 0.94%
2028 222,572 2780 1.25%
2029 222,572 3475 1.56%
2030 222,572 4170 1.87%
2035 2021 Study does not report post-2030 demand and conservation; percent demand reduction is assumed to stay constant

1.87%
2040-2050 1.87%

4 Data shown on Table 4-4 were obtained from the 2021 Orange County Residential Water Efficiency Potential and Opportunities Study.
2025 Orange County Water Demand Projection Model

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The model output does not include projected active water conservation.

4.3 Baseline Sectoral Forecasts
This section provides a summary of the baseline demand forecasts by each model sector. The model output does not include projected active water conservation. This section provides a summary of the baseline demand forecasts by each model sector. The baseline scenario results represent a projection of future water demand for Orange County, assuming no additional active conservation.

4.3.1 Forecast Expectations
Figure 4-4 summarizes the Orange County averaged annual demand projections as well as the historical values.

Figure 4-4: Total Orange County Demands
Annual county-wide single-family residential projected water demand values are projected to decrease from 2025 to 2030, then remain relatively constant through 2050. Multifamily residential projected water demand values are projected to steadily increase from 2025 through 2050. This increase is largely driven by rising multifamily housing units over time. CII demands are projected to steadily increase from 2025 0100,000200,000300,000400,000500,000600,000700,000201020122014201620182020202220242026202820302032203420362038204020422044204620482050 Annual Demand (AFY)Other Demands (AFY)Commercial, Industrial, and Institutional Demand (AFY)Irrigation Demand (AFY)Multifamily Demand (AFY)Single-family Demand (AFY)Historical 2025 Orange County Water Demand Projection Model

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through 2050. This increase is largely driven by an increase in the driver units of total non-agricultural jobs. Irrigation demand decreases due to higher water prices from 2025 to 2030, then remains constant thereafter.

4.3.2 Forecast Summary
The baseline scenario results represent a projection of future water demand for Orange County, assuming no additional active conservation. The scenario assumptions outlined in Section 4 reflect a reasonable estimate of the future conditions of parameters known to influence water demand derived from multiple available sources. The forecast uses ACS and CDR data to depict local and regional trends in demographics and development in the demand model. Consistent with regional trends, demands in the single-family sector are forecasted to remain relatively flat over the next 25 years as there is not expected to be substantial growth in single-family housing units.

Growth in residential demand is largely forecast to occur in the multifamily sector, consistent with anticipated increases in multifamily housing. Demands in the CII sector are also expected to increase, which is consistent with CDR forecasts of total jobs in the county. Increasing water rates and housing density are expected to have some modulating effect on demand (as housing density and water rates increase, water demand decreases); however, under the baseline scenario, projected changes in the values of these variables do not completely counteract the effects of growth in overall driver units. 2025 Orange County Water Demand Projection Model

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5. Alternative Forecasts
Alternative forecasts were established using new climate data and possible additional water rate increases.

Alternative demand scenarios consider the potential effects of climate change on precipitation and temperature using CMIP6 data from CalAdapt. A 2021 report explains why the CalAdapt models best represent the California climate.5

5.1.1 Future Climate Change
CMIP6 is the sixth phase of the World Climate Research Program (WCRP) Coupled Model Intercomparison Project (CMIP) and includes 134 models from 53 modelling centers. CMIP6 relies on Shared Socio-economic Pathways (SSPs) that describe plausible futures of societal development and impacts on greenhouse gas emissions. Downscaling originally included only dynamic downscaling, in which high-resolution physics-based simulations are used to help models reproduce the location and frequency of events that drive regional weather and climate. The State has introduced statistical downscaling, in which dynamically downscaled simulations train a new version of Localized Construction Analogs (LOCA) to downscale a broader set of GCMs than would be computationally feasible with dynamical downscaling.

Alternative forecasts were established using new climate data with the same quadrants Flume developed (Figure 5-1) to evaluate varying microclimates and the age of housing stock across Orange County (North and South Coastal, and North and South Inland).

5 Interim Deliverable for EPC-20-006, Prepared by: Will Krantz, David Pierce, Naomi Goldenson, Danile Cayaan; November 29, 2021
2025 Orange County Water Demand Projection Model

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Figure 5-1: Flume Quadrants
Each retail agency was matched to the Flume-specific quadrant. Figure 5-22 plots the CMIP6 model runs for the South Coastal Flume quadrant and plots the model results on a temperature-precipitation climate graph with quadrants of dry/warm, wet/warm, dry/cool, and wet/cool.

2025 Orange County Water Demand Projection Model

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Figure 5-2: Climate Forecasts
Climate data is applied to the baseline weather patterns in a two-step process:
1) Download the CMIP6 datasets for each of the four Flume quadrants using Python scripts, then calculate the difference in the modeled future and modeled historical (delta, ∆) for temperature and precipitation (Equations 5-1 and 5-2):
∆𝑇𝑒𝑚𝑝 = 𝑀𝑜𝑑𝑒𝑙𝑒𝑑 𝐹𝑢𝑡𝑢𝑟𝑒 𝑇𝑒𝑚𝑝 − 𝑀𝑜𝑑𝑒𝑙𝑒𝑑 𝐻𝑖𝑠𝑡𝑜𝑟𝑖𝑐𝑎𝑙 𝑇𝑒𝑚𝑝 Equation 5-1 ∆𝑃𝑟𝑒𝑐𝑖𝑝 =ெ௢ௗ௘௟௘ௗ ி௨௧௨௥௘ ௉௥௘௖௜௣
ெ௢ௗ௘௟௘ௗ ு௜௦௧௢௥௜௖௔௟ ௉௥௘௖௜௣ Equation 5-2 The historical records produced for each model span 1950 to 2014, and the modeled historical data in the equations consist of the average weather parameter for each month over that period.

Modeled futures extend from 2015 to 2100.
2) Apply the changes, or deltas, to the historical normal weather values. The historical normal has the same value each month, but applying a different delta value each month allows the climate change impacts to differ in the future. Each agency was matched to the Flume-specific quadrant and the appropriate regional delta values.

2025 Orange County Water Demand Projection Model

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Future climate projections based on many CMIP6 models indicate a general increase in water demands over the forecast period (Figure 5-3). Note that the models shown are applied to a total baseline demand scenario prior to member agency review and final numbers were published.

Figure 5-3: CMIP6 Climate Change Futures
CMIP6 data from the 15 model runs that were determined to be a good fit for California were substituted for baseline weather conditions in the demand model, and the resulting total Orange County demand was used to define a dry warm (high demand) scenario and a wet cool (lower demand) scenario to provide a range of possible climate impacted outcomes. Both scenarios predict increasing temperatures, and as a result, water demands that are higher than baseline demands. 450,000460,000470,000480,000490,000500,000510,000520,00020252026202720282029203020312032203320342035203620372038203920402041204220432044204520462047204820492050 Annual Demand (AFY)BaselineDryWarm: CNRM-ESM2 - 1_585DryWarm: MIROC6_585DryWarm: KACE-1-0-G_370DryCool: MRI-ESM2-0_370DryCool: CESM2-LENS_370DryCool: MPI-ESM1-2-HR_370DryCool: GFDL-ESM4_370WetWarm: HadGEM3-GC31-LL_585WetWarm: ACCESS-CM2_585WetWarm: ACCESS-CM2_370WetWarm: TaiESM1_370WetCool: EC-Earth3-Veg_370WetCool: FGOALS-g3_370DryWarm: KACE-1-0-G_585WetCool: FGOALS-g3_585 Wet CoolDry Warm
2025 Orange County Water Demand Projection Model

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5.1.2 Alternative Forecasts
The dry warm, and wet cool CMIP6 scenarios are depicted relative to historical Orange County demands in Figure 5-4.

Figure 5-4: Future CMIP6 Scenarios
To create a possible envelope of demands with only two additional (non-baseline) forecasts, a long-term price increase (in addition to inflation) was imposed on the wet-cool simulation to illustrate additional price pressure (i.e., further decrease in demands). The price increase was assumed to be 3% per year for the entire forecast period. Figure 5-5 shows that the general increases in demand are suppressed when price increases are included in the forecast.
450,000500,000550,000600,000650,000700,000201020122014201620182020202220242026202820302032203420362038204020422044204620482050 Total Orange County Annual Demand (AFY)HistoricalBaseline Normal YearDry Warm: KACE-1-0-G_585Wet Cool: FGOALS-g3_585Wet Cool ScenarioDry Warm Scenario 2025 Orange County Water Demand Projection Model

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Figure 5-5: Alternative Demand Scenarios
The dry warm scenario with baseline water prices and the wet cool scenario with additional price increases constitute the two alternative forecasts.
450,000500,000550,000600,000650,000700,000201020122014201620182020202220242026202820302032203420362038204020422044204620482050 Total Orange County Annual Demand (AFY)HistoricalBaseline Normal YearDry Warm: KACE-1-0-G_585Wet Cool: FGOALS-g3_585Increased Water Price for 20 YearsWet Cool and Increased Price for 20 Years When price increases are included in the forecast (3% annual increase out to 2050) the general increases in demand are suppressed20 Year Price Increase ScenarioLow Demand Scenario (Wet Cool+ 20 Year Price Increase) 2025 Orange County Water Demand Projection Model

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6. UWMP Scenarios
The 2025 Urban Water Management Plan requires tabulation of the long-term projected water use over the next 20 years, in 5-year increments, for three types of hydrology:
 Normal Year: The demand a Supplier believes will occur during normal conditions. It could be a single year or an average range of years that most closely represent the average water demand.

This is provided by the Baseline Forecast in Section 5.  Single Dry Year: A year that represents higher water demand on the Supplier. Provided by finding the historical year most sensitive to all weather parameters (2010 – present)  Five Consecutive Year Drought: The demand during the driest five-year historical sequence for the Supplier. Provided through a separate regression on total Orange County demand and historical weather (2004 – present)

6.1.1 Single Dry Year Scenario
The single dry year is the historical year in which weather factors have the largest combined impact as measured by a hot-dry index (HDI). The HDI was developed in four steps:
1) Calculate the HDI for each month in the historical weather series. This monthly hot-dry index (MHDI) is calculated for each member agency (a) and monthly observation (m) as the sum of the estimated weather effects for each sector model (j). The weather effects for each sectoral model are derived from the historical weather values (W) and weather model parameters (β) assigned to the weather variables in each model (i), which vary by member agency (Equation 6-1).

𝑀𝐻𝐷𝐼௔,௠,௝ =𝑒𝑥𝑝൫∑ 𝛽௔,௜,௝𝑊௔,௜,௠,௝௜ ൯ Equation 6-1 2) Calculate the HDI for each calendar year in the historical weather series. The monthly index values are summed across the month of any given annual period to derive a set of annual index values (AHDI) for each member agency and sector (Equation 6-2).

𝐴𝐻𝐷𝐼௔,௝ =∑ 𝑀𝐻𝐷𝐼௔,௠,௝ଵଶ௠ୀଵ Equation 6-2 3) Weight the annual sector indices by the proportion of total annual water sales attributed to each sector (w) to define the final hot-dry index (HDI) values used to evaluate and select the hot-dry periods for scenario development (Equation 6-3). The weights are based on the estimated proportion of sales by sector for as many full annual records were available for each agency from 2010 to 2024.

𝐻𝐷𝐼௔ =∑ 𝑤௝ ×𝐴𝐻𝐷𝐼௔,௝ସ௝ୀଵ Equation 6-3 4) Determine the maximum value of HDI for each member agency across all years in the historical weather series. Retain weather data for the selected calendar year for each member agency. 2025 Orange County Water Demand Projection Model

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Table 6-1 lists the calendar years containing the maximum of HDI by member agency. As shown, calendar year 2014 was selected more often than any other year in the historical weather series as the hot- dry year, and the weather data for 2014 were selected for all agencies to represent the hot-dry scenario.

Table 6-1: Selected Calendar Years for Hot/Dry Weather Scenario Agency
Single Year Hot/Dry Periods
Calendar Year HDI Value
Anaheim 2014 12.40
Brea 2018 12.26
Buena Park 2014 12.16
East Orange CWD 2014 13.14
El Toro WD 2014 12.72
Fountain Valley 2014 12.26
Fullerton 2014 12.65
Garden Grove 2014 12.28
GSWC Cowan 2014 13.27
GSWC Placentia 2014 12.61
GSWC West Orange 2014 12.42
Huntington Beach 2014 12.62
Irvine Ranch WD 2014 12.46
La Habra 2014 12.84
La Palma No data available
Laguna Beach WD 2014 12.62
Mesa WD 2014 12.61
Moulton Niguel 2014 13.35
Newport Beach 2014 12.52
Orange City 2014 12.70
San Clemente 2014 12.54
San Juan Capistrano 2014 12.38
Santa Ana 2014 12.32
Santa Margarita WD 2014 12.76
Seal Beach 2022 12.08
Serrano WD 2014 13.85
South Coast WD 2014 12.56
Trabuco Canyon WD 2017 11.82
Tustin 2014 12.53
Westminster 2014 12.43
Yorba Linda WD 2014 12.89
2025 Orange County Water Demand Projection Model

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6.1.2 Multiple Dry Year Scenario
Trends in historical regional water use (supplied from all sources) were correlated with trends in observed weather conditions to develop a set of factors to describe the potential impact of consecutive dry years.

The weather coefficients of the sectoral water demand equations can be used to generate weather scenarios for any given set of monthly weather data, for example, for a given hot/dry year. However, conceptually, the persistence of drier-than-normal weather could intensify water use rates in the absence of interventions, such as water-use restrictions. Because the sectoral forecasting equations, by construction, treat time periods independently, other statistical methods were derived to evaluate potential or “latent”, or unconstrained, demands that could develop with the persistence of dry weather conditions.

Trends in historical total regional water use (supplied from all sources) were correlated with trends in observed Orange County weather conditions to develop a set of factors to describe the potential impact of consecutive dry years. Specifically, the running 12-month average of regional water use (USE12) was modeled as a function of the following variables:
 12-month running average of the ratio of observed to normal average maximum daily temperature (MAXT12)
 24-month running average of the ratio of observed to normal precipitation (PRCP24)  36-month running average of the ratio of observed to normal precipitation (PCRP36)  48-month running average of the ratio of observed to normal precipitation (PCRP48)  60-month running average of the ratio of observed to normal precipitation (PCRP60)  Departure from long-term GDP trend
 Linear time trend counter (TREND)
Except for the linear time counter, all variables were transformed into natural log form prior to estimating the model using ordinary least squares regression. A binary water restriction variable was added to the regression to eliminate supply constraints (allow the regression to assume no curtailments instated during the hot dry spell). The estimated weather parameters (Table 6-2) are used to estimate the potential change in water use that would occur during the driest 24-month, 36-month, 48-month, and 60-month period over the historical record, assuming the warmest 12-month period estimated over the historical record.

Table 6-2: Regression Coefficients and Variable Values

Coefficient Historical Value
MAXT12 0.6279 1.0522
PRCP24 -0.0832 0.3783
PRCP36 -0.0076 0.4408
PRCP48 -0.0269 0.4977
PRCP60 -0.0296 0.5656
2025 Orange County Water Demand Projection Model

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Consecutive dry-year scaling factors are derived using the historical minimums of the precipitation and historical maximum of the temperature variable from the historical weather data set.

Equation 6-4 shows the 2nd consecutive dry year scaling factor.

𝐹𝑎𝑐𝑡𝑜𝑟=𝑀𝐴𝑋𝑇12଴.଺ଶ଻ଽ×𝑃𝑅𝐶𝑃24ି଴.଴଼ଷଶ= 1.1195 Equation 6-4 Equation 6-5 shows the 3rd consecutive dry year scaling factor.

𝐹𝑎𝑐𝑡𝑜𝑟=𝑀𝐴𝑋𝑇12଴.଺ଶ଻ଽ×𝑃𝑅𝐶𝑃24ି଴.଴଼ଷଶ×𝑃𝑅𝐶𝑃36ି଴.଴଴଻଺= 1.1265 Equation 6-5 Equation 6-6 shows the 4th consecutive dry year scaling factor.

𝐹𝑎𝑐𝑡𝑜𝑟=𝑀𝐴𝑋𝑇12଴.଺ଶ଻ଽ×𝑃𝑅𝐶𝑃24ି଴.଴଼ଷଶ×𝑃𝑅𝐶𝑃36ି଴.଴଴଻଺×𝑃𝑅𝐶𝑃48ି଴.଴ଶ଺ଽ= 1.1478Equation 6-6 Equation 6-7 shows the 5th consecutive dry year scaling factor.

𝐹𝑎𝑐𝑡𝑜𝑟=𝑀𝐴𝑋𝑇12଴.଺ଶ଻ଽ×𝑃𝑅𝐶𝑃24ି଴.଴଼ଷଶ×𝑃𝑅𝐶𝑃36ି଴.଴଴଻଺×𝑃𝑅𝐶𝑃48ି଴.଴ଶ଺ଽ×𝑃𝑅𝐶𝑃60ି଴.଴ଶଽ଺=

1.1673 Equation 6-7 These scaling factors are used to supplement the results of the single hot/dry year scenario. There is a 5- year sequence for any year in the forecast: single hot/dry year, followed by the second dry year, followed by the third consecutive dry year, and so on. Under these assumptions, the second consecutive dry year would result in water use that is about 12 percent higher than under normal precipitation conditions. The estimate of water use for the third consecutive dry year would be incrementally higher, or about 13 percent greater than normal. By the end of the fifth consecutive dry year, the estimated potential would grow to about 17 percent higher than the normal year baseline. The consecutive dry year scenarios are calculated based on the total baseline forecast and thus implicitly account for differences in growth occurring among Orange County’s water use sectors and agencies. As indicated by the magnitudes of the scaling factors described above, this implies increasingly higher demands as conditions become drier. It is possible that demands would be restricted through demand management actions prior to reaching these levels if such conditions were to occur.

6.1.3 All UWMP Scenarios
All UWMP scenarios are shown in Figure 6-1, along with the baseline, high demand, and low demand scenarios discussed in the previous sections.
2025 Orange County Water Demand Projection Model

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Figure 6-1: Total Orange County Historical Water Use vs Projected Water Demands for All UWMP Scenarios The UWMP scenarios are tabulated for each agency in the Spreadsheet model.

Although Orange County demands are forecast to be relatively flat into the future, annual variations in weather could cause high fluctuations.

450,000500,000550,000600,000650,000700,000201020122014201620182020202220242026202820302032203420362038204020422044204620482050 Total Orange County Annual Demand (AFY)HistoricalBaseline Normal YearSingle Hot/Dry Year2nd Hot/Dry Year3rd Hot/Dry Year4th Hot/Dry Year5th Hot/Dry YearHigh Demand ScenarioLow Demand Scenario 2025 Orange County Water Demand Projection Model

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7. Urban Water Use Objectives (UWUO) Metrics
The Urban Water Use Objective (UWUO) requires residential indoor consumption to decrease from 47 GPCD in 2025 to 42 GPCD in 2030 and remain at 42 GPCD through 2050. Although future active conservation is not included in the baseline forecast, the UWUO target residential demand is calculated for each agency in this section, and active conservation may be assumed from these target values and subtracted from the baseline forecast.

While the indoor conservation target specified by the UWUO is fixed, the outdoor target depends on precipitation, evapotranspiration, landscape area, and a landscape efficiency factor (Equation 7-1).

𝑂𝑢𝑡𝑑𝑜𝑜𝑟 𝐵𝑢𝑑𝑔𝑒𝑡 ቀ௚௔௟
௬௘௔௥ቁ=(𝐸𝑇𝑜−𝑃𝑒𝑓𝑓)×𝐿𝑎𝑛𝑑𝑐𝑎𝑝𝑒 𝐴𝑟𝑒𝑎 ×𝐿𝐸𝐹 × 0.62 Equation 7-1 ETo is local reference evapotranspiration, Peff is effective rainfall, and 0.62 represents a conversion factor from inches to square feet. The landscape efficiency factor (LEF) provides a way to reduce irrigation targets; water use increases as the LEF increases. The California State Water Board requires a LEF of 80% through September 2030, at which point the required LEF decreases to 63%. In October 2035, the LEF decreases to 55% for residential irrigation and 45% for CII irrigation. When/If an agency can comply with the State UWUO outdoor conservation targets is a retail agency determination based on each agency’s unique circumstances.

Although the forecasts provided by Hazen do not include active conservation, each retail agency may compare the forecasted gallons per capita per day (GPCD) with their UWUO target to build or forecast an active conservation program.

2025 Orange County Water Demand Projection Model

8-1

8. Summary and Conclusions
The water demand forecasts presented in this technical memorandum provide a foundation for long-term planning across Orange County retail water agencies and aligns with needs for the 2025 Urban Water Management Plan. The model approach, which combined rigorous data collection and assessment and econometric model development, ensures that projections are grounded in historical trends and agency- approved demographic inputs.

Work with individual agencies to calibrate the forecasts revealed that the demand forecasts are highly sensitive to demographic projections. Future water use is driven primarily by changes in population, housing units, and jobs, all of which are subject to uncertainty and local planning decisions. The baseline scenario reflects CDR-OCP2022 growth rates and member agency feedback, and alternative demographic trajectories may be considered by individual agencies. Agencies may also use their calculated UWUO targets to incorporate active conservation plans, which are not included in the forecasts.

2025 URBAN WATER MANAGEMENT PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX I NOTIFICATION OF PUBLIC AND SERVICE

AREA PROVIDERS

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Rudy Emami
City of Anaheim
200 S Anaheim Boulevard, Suite 276
Anaheim CA, 92805

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Rudy Emami:

The City of Fullerton (City) is in the process of preparing and updating its 2025 Urban Water Management Plan (UWMP) in compliance with the Urban Water Management Planning Act. An update of the City’s UWMP is required every five years.

Water Code Section 10621(b) requires an urban water supplier updating its UWMP to notify cities and counties within its service area of the update at least sixty (60) days prior to holding a public hearing.

This letter serves as notification the City is preparing and updating its 2025 UWMP, to be adopted and submitted to the California Department of Water Resources (DWR) before the July 1, 2026 deadline. The City will be re-adopting its 2025 Water Shortage Contingency Plan (WSCP), as required by DWR, as part of the 2025 UWMP.

A copy of the City’s draft 2025 UWMP will be available for review on the City’s website https://www.cityoffullerton.com/government/departments/public-works/water-system in Spring of 2026, and the City will subsequently hold noticed public hearings on the 2025 UWMP and 2025 WSCP.

The City invites you to submit comments regarding its 2025 UWMP and 2025 WSCP. The City anticipates holding a public comment period in late Spring 2026, with a public hearing planned during that time.

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Chris Tanio
City of Placentia
401 E Chapman Avenue
Placentia, CA 92870

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Chris Tanio:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Mr. Craig Gott, President
Suburban Water Systems
15088 Rosecrans Avenue
La Mirada, CA 90638

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Mr. Gott:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
John Kennedy
Orange County Water District
18700 Ward Street
Fountain Valley, CA 92708

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear John Kennedy:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Harvey De La Torre
Municipal Water District of Orange County
18700 Ward Street, Unit B
Fountain Valley, CA 92708

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Harvey De La Torre:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Brad Coffey; Manager, Water Resources Management Group
Metropolitan Water District
PO Box 54153
Los Angeles, CA 90054-0153

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Mr. Coffey:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Mr. Jeff Boynton, City Manager
City of La Mirada
13700 La Mirada Boulevard
La Mirada, CA 90638

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear MR. Boynton:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Elias Saykali
City of La Habra
621 West Lambert Road
La Habra, CA 90631

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Elias Saykali:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Mr. Ken Vecchiarelli, General Manager
Golden State Water Company
2281 E Via Burton St.

Anaheim, CA 92806

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Mr. Vecchiarelli:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/26/2026
Mr. Hugh Nguyen, Clerk Recorder
County of Orange
12 Civic Center Plaza, Room 101
Santa Ana, CA 92701

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Mr. Nguyen:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Mina Mikhael
City of Buena Park
6650 Beach Blvd, P.O. Box 5009
Buena Park CA, 90622-5009

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Mina Mikheal:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

CITY OF FULLERTON
Public Works Department – Water Operations Division

THE EDUCATION COMMUNITY
1580 West Commonwealth Avenue, Fullerton, California 92833-2728 (714) 738-2835 • Fax (714) 738-3100 • Website: www.cityoffullerton.com

02/09/2026
Michael Ho
City of Brea
545 Berry St.

Brea CA, 92821

Subject: City Of Fullerton 2025 Urban Water Management Plan Update

Dear Michael Ho:

If you have any questions, please contact me at 714.738.6895 or by email at, [email protected].

Sincerely,
Gar Huang
Associate Engineer

2025 URBAN WATER MANAGEMENT PLAN
APRIL 2026 / FINAL DRAFT / CAROLLO

CITY OF FULLERTON

APPENDIX J ADOPTED UWMP RESOLUTIONS

City Council - Successor Agency - Housing AuthorityMay 5, 2026

City Council - Successor Agency - Housing Authority
May 5, 2026