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Corrigendum to "A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA" [Sci. Total Environ. (2017) 1160-1172].
Ransom, Katherine M; Nolan, Bernard T; Traum, Jonathan A; Faunt, Claudia C; Bell, Andrew M; Gronberg, Jo Ann M; Wheeler, David C; Rosecrans, Celia Z; Jurgens, Bryant; Schwarz, Gregory E; Belitz, Kenneth; Eberts, Sandra M; Kourakos, George; Harter, Thomas.
Affiliation
  • Ransom KM; University of California, Davis, Department of Land, Air, and Water Resources, United States. Electronic address: kransom@usgs.gov.
  • Nolan BT; U.S. Geological Survey National Water Quality Program, Reston, VA, United States.
  • Traum JA; U.S. Geological Survey California Water Science Center, Sacramento, CA, United States.
  • Faunt CC; U.S. Geological Survey California Water Science Center, San Diego, CA, United States.
  • Bell AM; University of California, Davis, Center for Watershed Sciences, United States.
  • Gronberg JAM; U.S. Geological Survey California Water Science Center, Menlo Park, CA, United States.
  • Wheeler DC; Virginia Commonwealth University, Department of Biostatistics, Richmond, VA, United States.
  • Rosecrans CZ; U.S. Geological Survey California Water Science Center, Sacramento, CA, United States.
  • Jurgens B; U.S. Geological Survey California Water Science Center, Sacramento, CA, United States.
  • Schwarz GE; U.S. Geological Survey National Water Quality Program, Reston, VA, United States.
  • Belitz K; U.S. Geological Survey New England Water Science Center, Northborough, MA, United States.
  • Eberts SM; U.S. Geological Survey Ohio Water Science Center, Columbus, OH, United States.
  • Kourakos G; University of California, Davis, Department of Land, Air, and Water Resources, United States.
  • Harter T; University of California, Davis, Department of Land, Air, and Water Resources, United States.
Sci Total Environ ; 685: 1306, 2019 Oct 01.
Article in En | MEDLINE | ID: mdl-31256804
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2019 Document type: Article Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2019 Document type: Article Country of publication: Netherlands