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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

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.

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Author(s) Jim Tesoriero orcid, Silvia Terziotti orcid, JoAnn M. Gronberg orcid
Publication Date 2017
Beginning Date of Data 1977-10-01
Ending Date of Data 2016-03-31
Data Contact
DOI https://doi.org/10.5066/F7TD9VM1
Citation Tesoriero, J., Terziotti, S., 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.
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Metadata Date 2022-09-08
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2022-09-10T04:43:23.529Z