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Filters: Tags: Groundwater Quality (X) > Date Range: {"choice":"year"} (X) > Types: OGC WMS Service (X)

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A multivariate regression model was developed to predict zero-order oxygen reduction rates (mg/L/yr) in aquifers across the State of Wisconsin. The model used a combination of dissolved oxygen concentrations and mean groundwater ages estimated with sampled age tracers from wells in the U.S. Geological Survey National Water Information System and previously published project reports from state agencies and universities. The multivariate regression model was solved using the Microsoft Excel solver, with 461 wells used for training and 46 wells held-out for validation. A total of 31 predictor variables were used for model development (56 were tested), including basic well characteristics, soil properties, aquifer properties,...
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This model archive contains files for a set of groundwater flow, particle tracking, and management optimization models that simulate the area around the Navy-Northrop-Grumman contamination plume on Long Island, New York. These models were developed as in insets from the Long Island Regional “parent” Model, from which perimeter boundary conditions were inherited. In addition to input and output files for these models, this archive contains the modeling workflow python code and source data used to build the model. These materials have been included for repeatability and decision transparency.
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From October 2017 through September 2022, the National Water Quality Network (NWQN) monitored 110 surface-water river and stream sites and more than 1,800 groundwater wells for a large number of water-quality analytes, for which associated quality-control data and corresponding statistical summaries are included in this data release. The quality-control data—for samples that were collected in the field (at all 110 surface-water sites, 350 groundwater wells, and 16 quality-control-only sites), prepared in the laboratory, or prepared by a third party—can be used to assess the quality of environmental data collected by the NWQN through the estimation of bias and variability in reported results. The general analyte...
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Groundwater from the Mississippi River Valley alluvial aquifer (MRVA), coincident with the Mississippi Alluvial Plain (MAP), is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of salinity, measured as specific conductance. Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the MRVA and underlying aquifers. Two models were created to test the incorporation of datasets from a regional aerial electromagnetic (AEM) survey and evaluate model performance. Explanatory variables...
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This data release contains total dissolved solids (TDS) concentrations and specific conductance (SC) measurements collected at surface-water monitoring locations and groundwater monitoring wells within the Upper Colorado River Basin (UCRB) between 1894 and 2022. Discrete TDS and SC results were obtained from the Water Quality Portal (WQP). Continuous SC monitoring results were obtained from the USGS National Water Information System (NWIS). The data set includes 127,294 TDS results that were collected at 12,339 sites between 1900 and 2022, and 705,918 SC results that were collected at 19,630 sites between 1894 and 2022. The SC results represented 244,784 discrete measurements at 19,625 sites and 461,134 mean daily...
    map background search result map search result map Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York Compilation of total dissolved solids concentrations and specific conductance measurements in the Upper Colorado River Basin, 1894 – 2022 Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022 MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York Multivariate regression model for predicting oxygen reduction rates in groundwater for the State of Wisconsin Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain Compilation of total dissolved solids concentrations and specific conductance measurements in the Upper Colorado River Basin, 1894 – 2022 Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022