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Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water - Model output data set (gwava-s_out)

Dates

Release Date
2007-01-01
Time Period
1991
Time Period
2003
Publication Date

Citation

Hitt, K.J., 2007, Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water - Model output data set (gwava-s_out): U.S. Geological Survey data release, https://doi.org/10.5066/P9MXDTBI.

Summary

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents predicted nitrate concentration in shallow, recently recharged ground water, in milligrams per liter, in the conterminous United States, and was generated by a national nonlinear regression model based on 16 input parameters. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter Vulnerability Assessment [...]

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gwava-s_out.xml
Original FGDC Metadata

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35.27 KB application/fgdc+xml
gwava-s_out.jpg thumbnail 35.77 KB image/jpeg
index.html 28.89 KB text/html
gwava-s_out.txt.gz 23.71 MB application/x-gzip
gwava-s_out.tgz 18.17 MB application/x-gzip

Purpose

This particular data layer is the predicted nitrate concentration (mg/L) in recently recharged, shallow ground water and resulted from a nonlinear regression model based on 16 input parameters of nitrogen sources and transport and attenuation factors. Nitrate is considered to be the most widespread contaminant in ground water. High nitrate concentration in ground water is a concern for human health, and protecting drinking water sources is a national priority. The U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program monitors the occurrence and distribution of nitrate and other contaminants in ground water and streams. However, because monitoring everywhere for the occurrence and distribution of nitrate in ground water is impractical, national water-quality models are used to address data gaps. The goal of the current study was to predict ground water vulnerability to nitrate at the national scale, to complement measured data.
Map of nitrate concentration in shallow, recently recharged U.S. ground water, as predicted by the GWAVA-S model.
Map of nitrate concentration in shallow, recently recharged U.S. ground water, as predicted by the GWAVA-S model.

Map

Communities

  • Model Data Management Function (MDMF)

Tags

Provenance

These data were originally released on the Water Mission Area National Spatial Data Infrastructure Node and were migrated to sciencebase.gov in 2023. These data were released prior to the October 1, 2016 effective date for the USGS's policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9MXDTBI

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