Machine-Learning Predictions of High Arsenic and High Manganese at Drinking Water Depths of the Glacial Aquifer System, Northern Continental United States.
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DOI: 10.1021/acs.est.0c06740
Abstract: Globally, over 200 million people are chronically exposed to arsenic (As) and/or manganese (Mn) from drinking water. We used machine-learning (ML) boosted regression tree (BRT) models to predict high As (>10 μg/L) and Mn (>300… read more here.
Keywords: manganese drinking; machine learning; glacial aquifer; water ... See more keywords