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Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
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This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020". The data were modified by: (1) extracting the data from the data source for the relevant model domain and times, and (2) rescaling the 270-meter BCMv8 grid to the small watersheds that contribute boundary flow to the CVHM2 model for the hydrologic variables recharge and runoff. The three data pieces...
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To support an investigation of the effectiveness of a large-scale river restoration project, several types of field data were collected from two gravel-bed reaches of the regulated lower Merced River in California's Central Valley, primarily in the fall of 2016. These data sets were intended to characterize salmon spawning habitat and identify factors influencing spawning site selection. This parent data release includes links to child pages for the following data sets: 1) Bulk samples of streambed sediment used to characterize the subsurface grain size distribution. 2) Pebble counts used to characterize the sediment grain size distribution of the bed surface. 3) Force gage measurements used to parameterize a...
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Surveys of channel and floodplain topography were used to characterize the morphology of two reaches of the lower Merced River in California's Central Valley and to parameterize a hydraulic model. These data were collected to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. At the Merced River Ranch field site, river channel and floodplain topography was measured using a combination of real-time kinematic (RTK) GPS for wadable parts of the channel, an echo sounder for deep pools, and photogrammetry...
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This digital dataset contains the municipal pumping dataset used to develop the Multi Node Well (MNW2) Package in the updated Central Valley Hydrologic Model (CVHM2). It includes well locations, well properties, and pumping rates for Municipal Pumping.
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
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As part of the California State Water Resources Control Board’s Oil and Gas Regional Monitoring Program , the U.S. Geological Survey collected groundwater and quality-control (QC) samples during September 2016–February 2017 from 14 water-production wells located within a one-mile buffer zone of and in the Fruitvale Oil field, Kern County, California. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds, naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon, dissolved standard and hydrocarbon gases, and dissolved noble and atmospheric gases. In total, 235 constituents and water-quality indicators...
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Managed aquifer recharge is a water-management strategy used to meet water demands during dry periods, or periods of high-water demand, when surface-water supplies are low. One method of managed aquifer recharge uses aquifer systems as subsurface reservoirs or ‘water banks’ to effectively and economically store surface water when surplus is available, and then recover the recharged groundwater to meet water demands during droughts. During these water shortages, increased groundwater pumpage can be used to offset shortfalls in surface-water supplies. Thus, surface-water reservoirs and water banks can be used conjunctively to effectively coordinate the use of groundwater and surface water. Data were compiled for ten...
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This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
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These data describe differences in percent cover of microhabitats and vegetation types at giant gartersnake locations and random points paired with giant gartersnake locations for use in case-control logistic regression. The data also include information on the individual snake, the year of observation, and whether the individual had moved from its previous location to allow for correlation of the data within individuals and locations
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The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data for the purpose of mapping groundwater salinity in selected oil and gas fields in California. The data for the Fruitvale and Rosedale Ranch oil fields include well construction data, digitized borehole geophysical data, geochemical analyses of water samples from oil and gas wells and groundwater wells, geological formation depths, and the groundwater total dissolved solids (TDS) calculations used in an accompanying manuscript. These data have been compiled from many sources and span several decades. The well construction data includes attributes such as the date drilling began (spud...
The original Central Valley Hydrologic Model (CVHM) did not simulate tile drain discharge in the west side of the San Joaquin Valley. The updated Central Valley Hydrologic Model (CVHM2) does simulate on-farm drains. The data for the drain flow and locations were obtained from the Berkeley National Laboratory is from (WESTSIM2) (N. Quinn, Berkeley National Laboratory, written communication., 2010). This component of the data release includes:e (1) three datasets included are a spreadsheet of the available observations with the drain flows in acre-ft/month, (2) a shapefile of the WESTSIM2 drain cells, and (3) a shapefile of the original WESTSIM2 drain cells translated to the CVHM2 model grid.
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Bulk samples of streambed sediment were collected from two reaches of the lower Merced River in California's Central Valley to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. The bulk samples were acquired during the summer of 2016 at the Merced River Ranch and Robinson Reach field sites using a McNeil sampler [McNeil and Ahnell, 1964]. Before collecting each sample, the surface layer was removed to avoid including surface grains as part of the sample. Surface material was scraped off to a depth...
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The updated Central Valley Hydrologic Model (CVHM2) is similar to the original Central Valley Hydrologic Model (CVHM) in terms of the basic units of model discretization. Both versions simulated monthly stress periods on the same one square mile cell spatial discretization. Although the simulation period for CVHM1 was water years 1962-2003, the CVHM2 simulation period is water years 1962-2019. Both CVHM and CVHM2 have a 6 month spin up period from April-September of 1961. The CVHM2 is now composed of 13 layers compared to the ten in the CVHM. As in CVHM, hydraulic properties are generally based on percentage of coarse-grained deposits and these values are adjusted based on depth, spatial location (geomorphic province),...
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These data are monthly median observed streamflow from 32 gages in the Central Valley for comparison to the updated Central Valley Hydrologic Model (CVHM2). The locations of these gages are shown in the shape file.
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Pebble counts were used to characterize the sediment grain size distribution of the bed surface for two reaches of the lower Merced River in California's Central Valley to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. The pebble counts were performed at the Merced River Ranch and Robinson Reach field sites using the method of Wolman [1954]. Grain diameters (n>100) were measured using a gravelometer by recording the largest opening on the gravelometer that an individual particle did NOT pass...
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This digital dataset contains the soil data for the updated Central Valley Hydrologic Model (CVHM2). The soil data is based on California Department of Water Resource’s C2VSim’s fine grid model soil curve number data set (C2VSimFG Version 1.0 - Datasets; CNRA, 2011). These values were originally obtained from the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO) soil map of the State of California (USDA, 2004), and then an area-weighted average value for each hydrologic soil group within each subregion was calculated to the C2VSim element. Curve number values obtained from SSURGO were converted for use in C2VSimFG. To translate the curve...
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Mendenhall and others (1916) assessed groundwater resources in California's San Joaquin Valley in 1910 to estimate the availability of groundwater of suitable quality for agricultural, industrial, and drinking water supplies. They inventoried nearly all existing wells, compiled depth-to-water at 4,002 wells, and collected water-quality data at 485 wells. Samples were collected from 114 wells for laboratory analysis of total dissolved solids (TDS), chloride, sulfate, bicarbonate, carbonate, calcium, magnesium, sodium+potassium, and silica (Mendenhall and others. 1916; Dole, 1909). Field assays were used to measure TDS, chloride, sulfate, bicarbonate, carbonate, and total hardness in samples from 371 wells (Mendenhall...
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Field measurements of saturated hydraulic conductivity were used to characterize the streambed permeability for two reaches of the lower Merced River in California's Central Valley to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. Saturated hydraulic conductivity, denoted by K, was measured with a backpack permeameter and modified Mark VI groundwater standpipe using the constant head method of Terhune [1958]. For each reach, permeameter measurements were collected at ten sites spanning a single...
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The ascii grids associated with this data release are model inputs representing the Central Valley aquifer, California, and predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells, respectively. The model input and prediction grids are bound by the alluvial bed boundary that defines the Central Valley. The prediction grids were produced with Boosted Regression Tree (BRT) modeling methods within a statistical modeling framework using the statistical modeling software R (R Core Team, https://www.r-project.org/) and linear interpolation within Oasis Montaj software (Geosoft, version 9.0.2). The response variable was a set of nitrate concentrations...
map background search result map search result map Differences between Used and Available Microhabitats and Vegetation Types for Giant Gartersnakes Associated with a Restored Marsh in California Historic groundwater-quality, depth, and well-construction data for wells in the San Joaquin Valley, California, 1910 Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Surveys of channel bed topography from two restored reaches of the lower Merced River, California Bulk samples of streambed sediment from two restored reaches of the lower Merced River, California Pebble count-based bed surface sediment grain size distributions from two restored reaches of the lower Merced River, California Measurements of streambed permeability from two restored reaches of the lower Merced River, California Water chemistry data for samples collected at groundwater sites near the Fruitvale oil field, September 2016–February 2017, Kern County, California (ver. 2.0, July 2020) Central Valley Hydrologic Model (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Central Valley Hydrologic Model version 2 (CVHM2): Municipal Pumping Central Valley Hydrologic Model version 2 (CVHM2): Model Discretization Central Valley Hydrologic Model version 2 (CVHM2): Drain Flow Observations Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff) Central Valley Hydrologic Model version 2 (CVHM2): Water Banking for water years 1961-2019 (ver. 2.0, Aug 2023) Central Valley Hydrologic Model version 2 (CVHM2): Soil Data Differences between Used and Available Microhabitats and Vegetation Types for Giant Gartersnakes Associated with a Restored Marsh in California Water chemistry data for samples collected at groundwater sites near the Fruitvale oil field, September 2016–February 2017, Kern County, California (ver. 2.0, July 2020) Surveys of channel bed topography from two restored reaches of the lower Merced River, California Pebble count-based bed surface sediment grain size distributions from two restored reaches of the lower Merced River, California Bulk samples of streambed sediment from two restored reaches of the lower Merced River, California Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA Measurements of streambed permeability from two restored reaches of the lower Merced River, California Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic groundwater-quality, depth, and well-construction data for wells in the San Joaquin Valley, California, 1910 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA Central Valley Hydrologic Model (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Central Valley Hydrologic Model version 2 (CVHM2): Municipal Pumping Central Valley Hydrologic Model version 2 (CVHM2): Drain Flow Observations Central Valley Hydrologic Model version 2 (CVHM2): Water Banking for water years 1961-2019 (ver. 2.0, Aug 2023) Central Valley Hydrologic Model version 2 (CVHM2): Soil Data Central Valley Hydrologic Model version 2 (CVHM2): Model Discretization Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff)