A hybrid machine learning model to estimate nitrate contamination of production zone groundwater in the Central Valley, California
Katherine Ransom1, Bernard T Nolan2, Claudia C Faunt3, Andrew Bell1, JoAnn Gronberg4, Jon Traum5, David C. Wheeler6, Celia Rosecrans7, Kenneth Belitz8, Sandra Eberts9 and Thomas Harter10, (1)University of California, Davis, CA, United States, (2)USGS Headquarters, Reston, VA, United States, (3)USGS California Water Science Center San Diego, San Diego, CA, United States, (4)USGS California Water Science Center Menlo Park, Menlo Park, CA, United States, (5)USGS California Water Science Center Sacramento, Sacramento, United States, (6)Virginia Commonwealth University, Department of Biostatistics, Richmond, VA, United States, (7)USGS California Water Science Center Sacramento, Sacramento, CA, United States, (8)USGS Headquarters, NAWQA, Reston, VA, United States, (9)USGS Headquarters, Reston, OH, United States, (10)Land, Air, and Water Resources, Davis, CA, United States
