An extensive analysis of water samples from wells across the eastern US links per- and polyfluoroalkyl substances (PFAS) in groundwater to the presence of other chemicals and various land uses. The data could help create models to predict what regions are high risk for PFAS contamination (Environ. Sci. Technol. 2022, DOI: 10.1021/acs.est.1c04795).
Exposure to PFAS has been linked to serious health conditions and is widespread. But identifying contaminated sites is slow and difficult because detecting the fluorinated compounds requires expensive instruments and specialized laboratory protocols to prevent sample contamination. To begin regulating PFAS as a drinking water contaminant, testing randomly sampled wells isn’t enough, says Cindy Hu, a data scientist at the research firm Mathematica who was not involved in the study. “We have to have a framework to know where to focus our resources.”
For more information, visit: https://cen.acs.org/environment/water/factors-predict-PFAS-contamination-groundwater/100/web/2022/02