Predicting nitrate exposure from groundwater wells using machine learning and meteorological conditions
Randall Etheridge,
Janire Pascual‐Gonzalez,
Jacob Hochard
et al.
Abstract:Private groundwater wells can be unmonitored sources of contaminated water that can harm human health. Developing models that predict exposure could allow residents to take action to reduce risk. Machine learning models have been successful in predicting nitrate contamination using geospatial information such as proximity to nitrate sources, but previous models have not considered meteorological factors that change temporally. In this study, we test random forest (regression and classification) and linear regr… Show more
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