Researcher creates algorithms to predict arsenic contamination in private wells

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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Source: Phys.org