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A U.S. Geological Survey-led study used machine learning to predict PFAS (“forever chemicals”) in untreated groundwater, revealing that up to 95 million Americans may rely on sources containing detectable levels of 24 PFAS compounds. Urban land use, industrial activity, and proximity to airports or military bases were key predictors. Contamination extends far beyond currently monitored areas, highlighting gaps in federal monitoring programs, especially for private wells and small public systems.
The model offers a national screening tool to guide targeted sampling and policy decisions but is not designed for household-level predictions. Researchers stress the need for rapid regulatory action, as PFAS are persistent, linked to cancer, immune system damage, and other health risks, and can remain in groundwater for decades. Next-generation models aim to estimate contamination levels, improving future water safety and public health protections.
08-09-2025