基于ToxPi模型的饮用水水源地优控PFAS筛选研究:以广州市流溪河为例

Screening of Priority Control of Per- and Polyfluoroalkyl Substances in Drinking Water Sources Based on ToxPi Model: A Case Study of Liuxi River, Guangzhou

  • 摘要: 饮用水水源地全氟/多氟烷基化合物(PFAS)暴露严重威胁水生态安全和人群健康。由于PFAS种类繁多,全面管控成本高昂。当前对优控PFAS的筛选技术研究不足,制约了PFAS风险精准管控。因此,本研究基于毒理学优先级指数(ToxPi)模型扩展开发了一种优控PFAS筛选方法,综合考虑了健康风险、生态风险、毒性数据、检出浓度和检出率等多维度信息,从而确定PFAS管控优先级排序并制定优先控制清单,并以广州市流溪河为例开展优控PFAS筛选应用。结果表明:①流溪河中PFAS的浓度范围为1.79~24.73 ng/L,主要由全氟丁酸(PFBA)、全氟辛基磺酸(PFOS)、全氟丁烷磺酸(PFBS)、全氟戊酸(PFPeA)、全氟己酸(PFHxA)贡献。②流溪河PFAS的健康风险和生态风险均处于可接受水平。③基于ToxPi模型的优控PFAS筛选方法识别出PFOS、全氟壬酸(PFNA)、全氟十一酸(PFUnDA)和全氟十二酸(PFDoDA)为优控PFAS,需重点关注并加强管控。本研究扩展开发了基于ToxPi模型的优控PFAS筛选方法,从保护饮用水安全角度为制定PFAS优先控制清单提供了科学依据,有助于流域优控新污染物筛选和风险精准管控,并可进一步应用于重点行业及风险源的优控新污染物筛选与识别。

     

    Abstract: Exposure to per- and polyfluoroalkyl substances (PFAS) in drinking water sources seriously threatens water ecological security and human health. Due to the diversity of PFAS compounds, comprehensive control is costly. Currently, there is a lack of research on the screening technologies for priority control of PFAS, which restricts the precise risk management and control of PFAS. This study developed a screening method for priority control of PFAS based on the ToxPi (toxicological priority index) model, comprehensively considering multi-dimensional information, such as health risk, ecological risk, toxicity data, detected concentrations and detection rates, etc., to determine the priority ranking of PFAS and the priority control list. Then we applied the model in the screening of priority control of PFAS in the Liuxi River. The results showed that: (1) The PFAS concentration in the Liuxi River ranged from 1.79 ng/L to 24.73 ng/L, mainly composed of perfluorobutyric acid (PFBA), perfluorooctane sulfonate (PFOS), perfluorobutane sulfonate (PFBS), perfluorovaleric acid (PFPeA) and perfluorohexanoic acid (PFHxA). (2) The health and ecological risks of PFAS in the Liuxi River were acceptable. (3) Based on the ToxPi model, PFOS, perfluorononanoic acid (PFNA), perfluoroundecanoic acid (PFUnDA), and perfluorododecanoic acid (PFDoDA) were selected as priority control PFAS, which requires more attention and strengthened control. This study expanded and developed a ToxPi-based model for screening priority control PFAS, and provided a rational basis for the priority control list of PFAS from the perspective of protecting drinking water safety. This model is beneficial for the screening and precise risk control of priority control emerging contaminants in river basins and can be further applied for the identification and selection of priority control emerging contaminants in the key industries and risk sources.

     

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