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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.
| Author(s) |
Jim Tesoriero |
| 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. |
| Metadata Contact | |
| Metadata Date | 2022-09-08 |
| Related Publication | Loading... |
| Citations of these data | Loading https://doi.org/10.1002/2016WR020197 |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2022-09-10T04:43:23.529Z