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Ground Water|December 24, 2021
Mapped Predictions of Manganese and Arsenic in an Alluvial Aquifer Using Boosted Regression TreesKatherine J Knierim, James A Kingsbury, Kenneth Belitz, et al.Ground Water|April 24, 2026
Predicting Groundwater Hydrochemical Facies in Three Dimensions with Random Forest Classification, USAPaul E Stackelberg, Katherine J Knierim, Kenneth Belitz, et al.Water Research|January 25, 2016
Geostatistical analysis of tritium, groundwater age and other noble gas derived parameters in CaliforniaA Visser, J E Moran, Darren Hillegonds, et al.Environmental Science & Technology|June 28, 2019
Hydrocarbons in Upland Groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, U.S.APeter B McMahon, Bruce D Lindsey, Matthew D Conlon, et al.Ground Water|December 14, 2020
Machine Learning Predictions of pH in the Glacial Aquifer System, Northern USAPaul E Stackelberg, Kenneth Belitz, Craig J Brown, et al.Environmental Science & Technology|June 1, 2017
Methane and Benzene in Drinking-Water Wells Overlying the Eagle Ford, Fayetteville, and Haynesville Shale Hydrocarbon Production AreasPeter B McMahon, Jeannie R B Barlow, Mark A Engle, et al.The Science of the Total Environment|June 11, 2017
A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USAKatherine M Ransom, Bernard T Nolan, Jonathan A Traum, et al.Pageof 3