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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

September 28, 2017

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. These data support the report Predicting Redox-sensitive Contaminant Concentrations in Groundwater Using Random Forest Classification.

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.

Publication Year 2017
Title 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
DOI 10.5066/F7TD9VM1
Authors Jim Tesoriero, Silvia Terziotti, JoAnn M. Gronberg
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Water Resources Mission Area - Headquarters
Rights This work is marked with CC0 1.0 Universal
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