<p>Industrial-residential fringe zones represent critical yet understudied interfaces for per- and polyfluoroalkyl substances (PFAS) environmental cycling. Effective PFAS management in industrial-residential fringe zones is hindered by complex sources and unquantified surface–groundwater interactions. To bridge this critical knowledge gap regarding source-risk dynamics in transitional zones, this study establishes an integrated framework combining interfacial transport analysis, Self-Organizing Maps (SOM), and Positive Matrix Factorization (PMF) to decouple pollution sources and risks in a transitional watershed. Results revealed distinct partitioning:&#xa0;long-chain PFASs (log<sub>2</sub> CR = -4.77) enriched surface waters, while mobile short-chain analogues (log<sub>2</sub> CR = 0.57) and cationic precursors accumulated in groundwater. The SOM-PMF framework delineated spatially heterogeneous clusters, identifying industrial discharge and diffuse domestic effluents as distinct drivers.&#xa0;Crucially, metrics revealed a "risk decoupling": ecological risks were concentrated in surface waters (RQ<sub>max</sub> = 7.63). whereas health risks peaked in groundwater clusters (HQ<sub>max</sub> = 0.746). These findings demonstrate that single-media assessments fail in transitional zones. The proposed spatially-explicit framework provides a transferable tool for prioritizing regulatory interventions where industrial and residential water cycles intersect.</p>

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Decoupling Risks in the Fringe: An Integrated SOM-PMF Framework for Spatially-Explicit PFAS Source Apportionment Across Surface–Groundwater Interfaces

  • Xuan Lin,
  • Shengpin Yu,
  • Dandan Huang,
  • Yiwen Pan,
  • Zehui Zhang,
  • Li Zhang,
  • Chunyu Yan,
  • Xiaolu Liu,
  • Bai Gao,
  • Yuanyuan Liu,
  • Wenjie Ma

摘要

Industrial-residential fringe zones represent critical yet understudied interfaces for per- and polyfluoroalkyl substances (PFAS) environmental cycling. Effective PFAS management in industrial-residential fringe zones is hindered by complex sources and unquantified surface–groundwater interactions. To bridge this critical knowledge gap regarding source-risk dynamics in transitional zones, this study establishes an integrated framework combining interfacial transport analysis, Self-Organizing Maps (SOM), and Positive Matrix Factorization (PMF) to decouple pollution sources and risks in a transitional watershed. Results revealed distinct partitioning: long-chain PFASs (log2 CR = -4.77) enriched surface waters, while mobile short-chain analogues (log2 CR = 0.57) and cationic precursors accumulated in groundwater. The SOM-PMF framework delineated spatially heterogeneous clusters, identifying industrial discharge and diffuse domestic effluents as distinct drivers. Crucially, metrics revealed a "risk decoupling": ecological risks were concentrated in surface waters (RQmax = 7.63). whereas health risks peaked in groundwater clusters (HQmax = 0.746). These findings demonstrate that single-media assessments fail in transitional zones. The proposed spatially-explicit framework provides a transferable tool for prioritizing regulatory interventions where industrial and residential water cycles intersect.