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.
Citation Information
| 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 | Anthony J. Tesoriero, Silvia Terziotti, Jo Ann M. Gronberg |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Office of Planning and Programming |
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Jim Tesoriero
Research Hydrologist
Silvia Terziotti
Hydrography Science Applications Lead | Geographer
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Jim Tesoriero
Research HydrologistEmailSilvia Terziotti
Hydrography Science Applications Lead | GeographerEmailPhone