Environmental Studies and Forestry

A data-driven approach to identifying PFAS water sampling priorities in Colorado, United States

K. E. Barton, P. J. Anthamatten, et al.

This innovative research conducted by Kelsey E. Barton and colleagues employs a data-driven random forest classification to predict groundwater contamination risks from PFOS and PFOA in Colorado. It identifies key sampling locations, focusing on vulnerable populations and highlighting critical data gaps.

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