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Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA

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Citation

Nolan, B.T., Green, C.T., Juckem, P.F., Liao, Lixia, and Reddy, J.E., 2018, Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA: U.S. Geological Survey data release, https://doi.org/10.5066/F7ZC81VR.

Summary

Widespread nitrate contamination of groundwater in agricultural areas poses a major challenge to sustainable water resources. Efficient analysis of nitrate fluxes across large regions also remains difficult. This study introduces a method of characterizing nitrate transport processes continuously across regional unsaturated zones and groundwater based on surrogate, machine-learning metamodels of an N flux process-based model. The metamodels used boosted regression trees (BRTs) to relate mappable variables to parameters and outputs of a “vertical flux method” (VFM) applied in the Fox-Wolf-Peshtigo (FWP) area in Wisconsin. In this context, the metamodels are upscaling the VFM results throughout the region, and the VFM parameters and [...]

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Metamodeling_and Mapping_Nitrate_Flux_Wisconsin_USA_Metadata.xml
“Metadata”
Original FGDC Metadata

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69 KB
Metamodeling_Mapping_Nitrate_Flux.zip
“Prediction Grids, Predictor Variable Grids, and Metadata”
8.03 MB

Purpose

The prediction grids are the basis of aquifer vulnerability maps, which stand alone but can also provide potentially useful predictor variables (e.g., nitrate concentration at water table) for future regional water quality models.

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ScienceBase WMS

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  • National Water-Quality Assessment Project
  • USGS Data Release Products

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7ZC81VR

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