Aiding land and water management in agricultural areas: Machine learning methods predict and map shallow aquifer redox conditions and indicate denitrification potential in an important extensive unconsolidated drinking water aquifer system in the northern agricultural areas of the U.S.

Erickson, Melinda

Aiding land and water management in agricultural areas: Machine learning methods predict and map shallow aquifer redox conditions and indicate denitrification potential in an important extensive unconsolidated drinking water aquifer system in the northern agricultural areas of the U.S.

Melinda L Erickson, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, MN, United States, Sarah M. Elliott, USGS Upper Midwest Water Science Center, Mounds View, MN, United States, Paul E. Stackelberg, USGS New York Water Science Center Troy, Troy, NJ, United States, Craig Brown, USGS New England Water Science Center, Northborough, United States and Katherine Marie Ransom, U.S. Geological Survey, Sacramento, CA, United States