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Data

Basic hydrologic data collection, processing, analysis, dissemination, and archiving are major parts of the California Water Science Center program. Streamflow data, for example, are used for flood and water-supply forecasts, planning and design, river regulation, streamflow statistics, and research investigations. Much of the data are available on a near-real-time basis by satellite telemetry.

Filter Total Items: 165

Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 405219124085601; Mad River Slough near Arcata, CA

Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS site ID# 405219124085601). A 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://w

Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 404038124131801; Hookton Slough near Loleta, CA

Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at

GSFLOW model to evaluate the effect of groundwater pumpage and climate stresses on the integrated hydrologic system of the Yucaipa subbasin, Yucaipa Valley watershed, San Bernardino and Riverside Counties, California

A three-dimensional, GSFLOW model was developed to simulate and quantify the hydrologic system of the Yucaipa subbasin. The model was calibrated to conditions from 1970 to 2014, the period for which data are most complete and reliable. The model was used to (1) quantify the effects of historical and potential water-resource development induced by climate changes and human-related activities, and (

Nutrient Addition Experiment in the Sacramento River Deep Water Ship Channel

Data were collected in the Sacramento River Deep Water Ship Channel (West Sacramento, CA) in support of a whole-ecosystem experiment investigating whether phytoplankton production and biomass would respond to nitrate additions, which could potentially be exported to food-limited regions in the Sacramento-San Joaquin Delta. The experiment was conducted from July 2 to September 18, 2019. Publicati

Characterization of water residence time, nutrients, phytoplankton and related water quality constituents in the Cache Slough Complex of the California Sacramento-San Joaquin Delta in 2017 and 2018

Data was collected in the Cache Slough Complex located in the northern San Francisco Estuary to characterize water quality parameters at high spatial resolution. Data collection was conducted on three separate occasions: October 2017, May 2018, and October 2018. Data set includes nitrate, ammonium, ortho-phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, c

Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP)

The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to September 2020. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characte

Historical Produced Water Chemistry Data Compiled for the North Coles Levee Oilfield, Kern County, California

In 2009, the Kentucky Water Science Center completed the Water Availability Tool for Environmental Resources (WATER-KY), which provided the ability to simulate streamflow for the period 1980-2000. This model integrated TOPMODEL (Beven and Kirkby, 1979) for pervious portions of the landscape with simulation of flow generated from impervious surfaces (USDA, 1986). Associated products included a flow

Estimated equivalent population using groundwater for public supply domestic use in the conterminous U.S. 2010, hydrogeologic mapping units, and wells used

These datasets map the estimated population using public supply drinking water (both groundwater and surface water) using two methods: the census enhanced method (CEM) evenly distributes the population across populated census blocks, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations. (See the six Estimated equivalent population us

Random forest regression model and prediction rasters of fluoride in groundwater in basin-fill aquifers of western United States

A random forest regression (RFR) model was developed to predict groundwater fluoride concentrations in four western United Stated principal aquifers - California Coastal basin-fill aquifers, Central Valley aquifer system, Basin and Range basin-fill aquifers, and the Rio Grande aquifer system. The selected basin-fill aquifers are a vital resource for drinking-water supplies. The RFR model was devel

Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States

A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate concentrati

Data for Assessing the Lead Solubility Potential of Untreated Groundwater of the United States

Groundwater chemistry data used for assessing the lead (Pb) solubility potential of untreated groundwater of the United States were compiled from the USGS National Water Information System (NWIS) database for groundwater sites sampled between January 1, 2000 and January 1, 2016. Two datasets were compiled: one dataset having 13,324 groundwater sites was used to assess Pb occurrence in untreated gr

Stage-Storage and Bed Material Data from the 2020 Upper Letts Lake Survey, California

On October 13, 2020 a survey of Upper Letts Lake was conducted where both bathymetric and terrestrial lidar data were collected. Additionally, six bed material samples and three core samples were collected to understand the characterization of the grain-size of the lake bed. Survey data were merged with an additional lidar dataset from the USGS 3DEP program to create digital elevation model (DEM).