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<p><UnorderedList Mark="Bullet"> <ItemContent> <p>Removal efficiencies of 25 PFAS in a WWTP during a long-term period were evaluated.</p> </ItemContent> <ItemContent> <p>PFBS and PFBA were the predominated PFAS in the influent and effluent of the WWTP.</p> </ItemContent> <ItemContent> <p>A<sup>2</sup>/O bioreactor with secondary sedimentation contributed 49.3% for the PFAS removal.</p> </ItemContent> <ItemContent> <p>Correlation analysis identified the critical influencing factors for the PFAS removal.</p> </ItemContent> <ItemContent> <p>Regression modeling established predictive models for PFAS removal efficiencies.</p> </ItemContent> </UnorderedList></p>

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Removal of Per- and Polyfluoroalkyl Substances in a Large-Scale Municipal Wastewater Treatment Plant: Performance, Key Factors, and Modeling

  • 期刊论文

  • 发表日期：

    2025年11月13日

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  • Tie-Qing You,
  • Jia Bao,
  • Yang Liu,
  • Yue Wu,
  • Xin Wang,
  • Li Cui

摘要

Removal efficiencies of 25 PFAS in a WWTP during a long-term period were evaluated.

PFBS and PFBA were the predominated PFAS in the influent and effluent of the WWTP.

A2/O bioreactor with secondary sedimentation contributed 49.3% for the PFAS removal.

Correlation analysis identified the critical influencing factors for the PFAS removal.

Regression modeling established predictive models for PFAS removal efficiencies.