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September 15, 2024Water ResearchOpen Access

Driving factor, source identification, and health risk of PFAS contamination in groundwater based on the self-organizing map

Jingwen Zeng Kai Liu Xiao Liu Zhongen Tang Xiujuan Wang Renchuan Fu Xiaojun Lin Na Liu Jinrong Qiu

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Abstract

) might also affect the distribution pattern of PFAS. The potential human health risk in the area was minimal, with cluster Ⅱ presenting the highest risk (RQ value 0.25) which is closely related to PFOA emissions from fluoropolymer industry. This study provides a theoretical basis and data support for applying of SOM to the visualization and control of PFAS contamination in groundwater.

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Cite This Study

Zeng et al. (2024) studied this question.

synapsesocial.com/papers/6a029eccf1675f581a75495b https://doi.org/10.1016/j.watres.2024.122458

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