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
Description
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.
Resources
| Name |
Format |
Description |
Link |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.58d04120e4b0236b68f53541.xml |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/F7TD9VM1 |
Tags
- random-forest-classification
- groundwater
- groundwater-quality
- redox
- fox-wolf-peshtigo-watershed
- michigan
- arsenic
- nitrate
- usgs-58d04120e4b0236b68f53541
- drinking-water-quality
- wisconsin
- iron