Geological Survey (U.S.), National Water-Quality Assessment Program (U.S.), Knierim, K. J., Kingsbury, J. A., & Haugh, C. J. (2021). Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley Alluvial and Claiborne aquifers, south-central United States. U.S. Department of the Interior, U.S. Geological Survey.
Chicago Style (17th ed.) CitationGeological Survey (U.S.), National Water-Quality Assessment Program (U.S.), Katherine J. Knierim, James A. Kingsbury, and Connor J. Haugh. Machine-learning Predictions of Redox Conditions in Groundwater in the Mississippi River Valley Alluvial and Claiborne Aquifers, South-central United States. [Reston, Va.]: U.S. Department of the Interior, U.S. Geological Survey, 2021.
MLA (9th ed.) CitationGeological Survey (U.S.), et al. Machine-learning Predictions of Redox Conditions in Groundwater in the Mississippi River Valley Alluvial and Claiborne Aquifers, South-central United States. U.S. Department of the Interior, U.S. Geological Survey, 2021.