Predictive models like these can assist agencies in prioritizing their limited resources, especially given the high costs associated with PFAS testing, Jialin Dong, a civil and environmental engineer at the University of California, Irvine, who studies PFAS contamination, told EHN. Dong was not involved in the study, but said that national-scale findings, paired with localized results from research like her California-focused PFAS contamination model, “can help the government to identify which area or what kind of area they should focus on first.” Read More