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Anthony J. Tesoriero

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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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This dataset is a 900 meter resolution raster representing the depth in meters at which the probability of oxic groundwater occurring is at least 50%, for the Chesapeake Bay watershed. Oxic groundwater was defined as containing O2 values >= 2 mg/L. The values range from 0-100 meters, with 100 representing all depths greater than 100. It was created in support of models which define the oxic/suboxic interface, which is important for determining pathways for nitrate transport in groundwater and in streams. The dataset was derived from a logistic regression of variables representing surficial geology, position in the flow system, and soil drainage.
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