Author

Lin Wang

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Open access Jul 2026

Assessing Features of PFAS Groundwater Occurrence Using SHAP-Enhanced Machine Learning.

Per- and polyfluoroalkyl substances (PFAS) are persistent groundwater contaminants that pose long-term risks to water sources and public health. Predicting PFAS occurrence remains challenging due to high-dimensional environmental data and limited model interpretability. In this study, we benchmarked explainable machine...

Lin Wang, Yun Ma, D. Rajapakshe et al. · Environmental Pollution · 0 citations