Researcher creates algorithms to predict arsenic contamination in private wells
a year ago
Despite the risks to human health, testing for arsenic isn't required for most private drinking wells in New Jersey. To help address this regulatory gap, a Rutgers researcher developed a machine learning model that can estimate arsenic contamination in private wells without the need to sample the water itself.
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