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Source and model output layers used for the prediction and display of the probability of elevated concentrations of redox-sensitive constituents in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan

Dates

Publication Date
Start Date
1977-10-01
End Date
2016-03-31

Citation

Tesoriero, A.J., Terziotti, Silvia, and Gronberg, J.M., 2017, Source and model output layers used for the prediction and display of the probability of elevated concentrations of redox-sensitive constituents in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan: U.S. Geological Survey data release, https://doi.org/10.5066/F7TD9VM1.

Summary

This USGS data release contains 1-kilometer resolution source-layer rasters used to predict redox conditions and contaminant concentrations in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan using random forest classification. The model output layers are 1-kilometer resolution rasters of the predicted probability of elevated concentrations of nitrate, iron, and arsenic. This data release supports the following publication: Tesoriero, A.J., Gronberg, J.M., Juckem, P.F., Miller, M.P., and Austin, B.P., 2017, Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification: Water Resources Research, v. 53, https://doi.org/10.1002/2016WR020197.

Contacts

Attached Files

Click on title to download individual files attached to this item.

SourceLayers.zip
“Source layers”
3.08 MB application/zip
ModelOutputLayers.zip
“Model output layers”
465.43 KB application/zip

Purpose

This data set was created in support of modeling to predict the occurrence of elevated concentrations of several redox-sensitive constituents in the Fox-Wolf-Peshtigo watershed, as part of the National Water Quality Assessment (NAWQA) project.

Map

Communities

  • Integrated Watershed Studies Team
  • National Water-Quality Assessment Project

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7TD9VM1

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