Filters: Tags: Groundwater Quality (X)
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This dataset describes plume boundary extents for 1,1,2-trichloroethane (1,1,2-TCA) in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin for various time intervals between 2000 - 2018.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Sauk,
Wisconsin,
groundwater,
groundwater quality,
water quality
This dataset contains the groundwater data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey. Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in micrograms per liter. Wells are divided into shallow(0) and deep intervals (1). Samples were collected from 2013 to 2016 and averaged for purposes of the accompanied report. Note: A sample with a Depth_bott and Depth_top of 0 is a sample from a spring collected at the surface. These data support the following publication: Wilson, J.L., Limmer, M.A., Samaranayake, V.A., Schumacher, J.G., Burken, J.G., 2017, Tree Sampling as a Method to Assess...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: environment,
groundwater,
groundwater geochemistry,
groundwater quality
This dataset describes plume boundary extents for carbon tetrachloride (CTET) in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin for various time intervals between 2000 - 2018.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Sauk,
Wisconsin,
groundwater,
groundwater quality,
water quality
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
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 developed with a dataset of over 12,000 wells sampled for fluoride between 2000 and 2018. This data release provides rasters of predicted fluoride concentrations at depth typical of domestic and public supply wells in the selected basin-fill aquifers and includes the final RFR model that documents the prediction modeling process...
The U.S. Geological Survey (USGS) in cooperation with the Miami Conservancy District, Dayton, Ohio, in 2019 and 2020 collected and analyzed groundwater samples to describe concentrations of per- and polyfluoroalkyl substances (PFAS) in the Great Miami buried-valley aquifer (GM-BVA) of southwestern Ohio. Data in this release include results from PFAS analysis of groundwater samples from 23 wells from parts of the GM-BVA in Butler, Champaign, Clark, Greene, Hamilton, Miami, Montgomery, Shelby and Warren Counties within the Great Miami River, Little Miami River and Whitewater River Basins. The 23 wells used for PFAS sampling were identified and sampled previously by the USGS National Water-Quality Assessment Program...
Categories: Data;
Tags: Butler County,
Champaign County,
Clark County,
Great Miami River,
Greene County,
The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater and associated quality control (QC) samples in the Santa Maria Valley Oil Field study area during July 2018 – March 2019. Groundwater samples were collected from twenty-one irrigation, one domestic, and...
Categories: Data;
Tags: California,
Geochemistry,
Groundwater,
Regional Monitoring Program,
Santa Barbara County,
The U.S. Geological Survey collected groundwater samples from 33 wells used for domestic and small system drinking water supplies in Kern County, California in 2022. The wells were sampled for the Kern County Domestic-Supply Aquifer Study Unit of the State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. The study unit was defined by the extent of the Kern County subbasin of the San Joaquin Valley groundwater basin. The study unit was divided into 40 grid cells and one or two domestic or small system well were sampled in to represent 29...
The groundwater water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017), and the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring Council,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Montana,
North Dakota,
South Dakota,
Water-Quality Parameters,
Williston Basin,
Specific conductance (SC), estimated chloride (Cl), and other major ion data sets used in an analysis of the extent to which deicer applications affect groundwater quality in the Siskiyou Pass area, southwestern Oregon, 2018 to 2021. The analysis is documented in the following publication: Gingerich, S.B., Wise, D.R., and Stonewall, A.J., 2023, Assessing the effects of chloride deicer applications on groundwater near the Siskiyou Pass, southwestern Oregon, July 2018–February 2021: U.S. Geological Survey Scientific Investigations Report 2023–5107, 39 p., https://doi.org/10.3133/sir20235107. This data release contains seven child items: 1) Specific conductance and major ions measured at selected sampling locations...
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