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Groundwater Level Data, Pajaro Valley, Santa Cruz and Monterey Counties, California, 1970-2018
Groundwater-level data collected by the Pajaro Valley Water Management Agency during 1970 to 2018 was provided to USGS and used to assess changes in groundwater levels as it relates to aquifer system compaction and resultant land subsidence in the Pajaro Valley.
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Groundwater Level Data, Pajaro Valley, Santa Cruz and Monterey Counties, California, 1970-2018
공공데이터포털
Groundwater-level data collected by the Pajaro Valley Water Management Agency during 1970 to 2018 was provided to USGS and used to assess changes in groundwater levels as it relates to aquifer system compaction and resultant land subsidence in the Pajaro Valley.
Central Valley aquifer system
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This data set represents the extent of the Central Valley aquifer system in California.
Central Valley aquifer system
공공데이터포털
This data set represents the extent of the Central Valley aquifer system in California.
Hydrogeologic Data from the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California, 2022 (ver. 2.0, August 2025)
공공데이터포털
The U.S. Geological Survey (USGS) entered into a cooperative study with the California Department of Water Resources and the Ramona Band of Cahuilla to characterize the hydrogeology of the Cahuilla Valley and Terwilliger Valley groundwater basins and surrounding water-bearing units, with the ultimate goal of developing a calibrated integrated hydrologic model to manage the groundwater supplies on a sustainable basis. A three-dimensional geologic framework model (GFM) was developed to quantify the structural geometry and distribution of water-bearing units in the groundwater basins, using borehole lithology and hydraulic information, geologic maps, and gravity-derived depth-to-basement information. This dataset includes (1) tabular data of selected boreholes with their location and construction information, (2) borehole lithology information, (3) a geographic information systems (GIS) shapefile of a cellular array containing interpolated elevations and thicknesses of modeled geologic units from the GFM in the format of a polygon feature class, (4) and a table of summary textural classes for the alluvial fill unit from borehole logs and summary textural classes used in geologic framework model.
Hydrogeologic Data from the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California, 2022 (ver. 2.0, August 2025)
공공데이터포털
The U.S. Geological Survey (USGS) entered into a cooperative study with the California Department of Water Resources and the Ramona Band of Cahuilla to characterize the hydrogeology of the Cahuilla Valley and Terwilliger Valley groundwater basins and surrounding water-bearing units, with the ultimate goal of developing a calibrated integrated hydrologic model to manage the groundwater supplies on a sustainable basis. A three-dimensional geologic framework model (GFM) was developed to quantify the structural geometry and distribution of water-bearing units in the groundwater basins, using borehole lithology and hydraulic information, geologic maps, and gravity-derived depth-to-basement information. This dataset includes (1) tabular data of selected boreholes with their location and construction information, (2) borehole lithology information, (3) a geographic information systems (GIS) shapefile of a cellular array containing interpolated elevations and thicknesses of modeled geologic units from the GFM in the format of a polygon feature class, (4) and a table of summary textural classes for the alluvial fill unit from borehole logs and summary textural classes used in geologic framework model.
California Coastal Basin aquifers
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This data set represents the extent of the California Coastal Basin aquifers in California.
California Coastal Basin aquifers
공공데이터포털
This data set represents the extent of the California Coastal Basin aquifers in California.
Groundwater-quality data in the Western Slope of the Sierra Nevada Domestic-Supply Aquifer Study Unit, 2024: Results from the California GAMA Priority Basin Project
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The U.S. Geological Survey collected groundwater samples from 38 wells used for domestic and small system drinking water supplies in the south-central Sierra Nevada region, California in 2023 and 2024. The wells were sampled for the Western Slope of the Sierra Nevada domestic-supply aquifer study unit of the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project's (GAMA-PBP) assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. The North High study area comprises the Eastern San Joaquin Highlands, Modesto Highlands, Turlock Highlands, and Merced Highlands groundwater units along the western slopes of the Sierra Nevada range, and the Mad King study area comprises the Yosemite Valley subbasin, Yosemite Highlands, Madera Highlands, and Kings Highlands groundwater units of the western slopes of the south-central Sierra Nevada range. The study unit was divided into 40 grid cells and one domestic or small system well was sampled to represent 38 of the grid cells; the remaining 2 grid cells had no accessible wells. Groundwater levels were measured in 13 of 38 wells. Table 1 contains sample and site information. Groundwater samples were analyzed for field water-quality parameters, microbial indicators, volatile organic compounds, pesticides and pesticide degradants, nutrients, major ions and trace elements, hexavalent chromium, perchlorate, per- and polyfluoroalkyl substances (PFAS), stable isotopes, and groundwater age tracers. Results from these analyses are reported in Tables 2 through 8. Tables 9 and 10 report results from quality control samples. This data release contains two supplementary tables that define abbreviations (Table 11) and provide additional context for the information presented in Tables 1 through 10 (Table 12). A zip file is included containing geospatial data (study unit boundaries, grid cell boundaries, site locations) as shapefiles.
Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015
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This report provides a full digitization of historic groundwater-quality and depth-to-water data from Mendenhall and others (1916) Water Supply Paper 398, “Ground Water in San Joaquin Valley, California” in a modern format suitable for further analysis of California’s water supply resources. Included are geochemical data for over 400 wells collected by Mendenhall in the fall of 1910, as well as depth-to-water and well construction information from over 4000 wells compiled by his team from over 15 years of well surveys throughout the San Joaquin Valley. Additionally, these data provide geospatial and geochemical data for sampled wells in California's San Joaquin Valley (SJV) in support of the publication: Hansen, J.A., Jurgens, B.C, Fram, M.S., Quantifying Anthropogenic Contributions to Century-Scale Groundwater Salinity Changes, San Joaquin Valley, California, USA, Science of the Total Environment, vol. XX, no. X, pp. XX-XX, 2018.
Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015
공공데이터포털
This report provides a full digitization of historic groundwater-quality and depth-to-water data from Mendenhall and others (1916) Water Supply Paper 398, “Ground Water in San Joaquin Valley, California” in a modern format suitable for further analysis of California’s water supply resources. Included are geochemical data for over 400 wells collected by Mendenhall in the fall of 1910, as well as depth-to-water and well construction information from over 4000 wells compiled by his team from over 15 years of well surveys throughout the San Joaquin Valley. Additionally, these data provide geospatial and geochemical data for sampled wells in California's San Joaquin Valley (SJV) in support of the publication: Hansen, J.A., Jurgens, B.C, Fram, M.S., Quantifying Anthropogenic Contributions to Century-Scale Groundwater Salinity Changes, San Joaquin Valley, California, USA, Science of the Total Environment, vol. XX, no. X, pp. XX-XX, 2018.