污染
地下水
鉴定(生物学)
环境科学
地下水污染
环境化学
环境工程
水资源管理
地质学
含水层
化学
岩土工程
生态学
生物
作者
Jingwen Zeng,Бо Лю,Бо Лю,Zhongen Tang,Xiujuan Wang,Renchuan Fu,Xiaojun Lin,Бо Лю,Jinrong Qiu
标识
DOI:10.1016/j.watres.2024.122458
摘要
The complex interactions between groundwater chemical environments and PFAS present challenges for data analysis and factor assessment of the spatial distribution and source attribution of PFAS in groundwater. This study employed spatial response analysis combining self-organizing maps (SOM), K-means clustering, Spearman correlation, positive matrix factorization (PMF) and risk quotient (RQ), to uncover the spatial characteristics, driving factors, sources, and human health risks of groundwater PFAS in the Pearl River Basin. The results indicated that the characteristics of PFAS in groundwater were classified into 16 neurons, which were further divided into 6 clusters (I-VI). This division was due to the contribution of industrial pollution (33.2 %) and domestic pollution (31.5 %) to the composition of PFAS in groundwater. In addition, the hydrochemical indicators such as pH, dissolved organic carbon (DOC), chloride (Cl
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