Skip to main content

Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States

Dates

Publication Date
Start Date
1988
End Date
2018

Citation

Ransom, K.M., Nolan, B.T., Stackelberg, P.E., Belitz, K., Fram, M.S., Reddy, J.E., Johnson, T.D., and Rodriguez, O., 2021, Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9IPKWFL.

Summary

A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate concentrations from 12,082 wells, and included predictor variables representing well characteristics, hydrologic conditions, soil type, geology, land use, climate, and nitrogen inputs. Predictor variables derived from empirical or numerical process-based models were also included to integrate information on controlling processes and conditions. This [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

modelgeoref.txt 827 Bytes text/plain
read_me.txt 4.38 KB text/plain
3.09 GB application/zip
Additional Tables.zip 12.84 KB application/zip

Purpose

The machine learning model, predictions of nitrate in groundwater, and associated data presented here support the journal article Ransom and others (2021).

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9IPKWFL
USGS_ScienceCenter https://www.sciencebase.gov/vocab/category/item/identifier California Water Science Center
USGS_MissionArea https://www.sciencebase.gov/vocab/category/item/identifier Water Resources
USGS_keywords https://www.sciencebase.gov/vocab/category/item/identifier Hydrology

Item Actions

View Item as ...

Save Item as ...

View Item...