不同污水处理工艺中全氟和多氟烷基物质的来源、去除效率及生态风险
Sources,Removal Efficiencies and Ecological Risks of Per-and Polyfluoroalkyl Substances in Different Wastewater Treatment Processes
钟敏杰 1田艳 2黄宁 2吕博伟 2吴烈善 1王锦 2韦进进3
作者信息
- 1. 广西大学,资源环境与材料学院,广西 南宁 530004
- 2. 广西壮族自治区生态环境监测中心,广西南宁 530028;广西新污染物监测预警与环境健康评估重点实验室,广西 南宁 530028
- 3. 南宁市核与辐射安全监督管理站,广西 南宁 530015
- 折叠
摘要
使用固相萃取-超高效液相色谱串联质谱法,测定广西 3 个污水处理厂(P1、P2、P3)中 17 种全氟和多氟烷基物质(PFASs).结果显示,共检测出 10 种PFASs,检出率为 33.3%～100%.进、出水中PFASs质量浓度分别为 32.0～86.4 和23.0～39.6 ng/L.全氟丁烷磺酸(PFBA)、全氟戊酸(PFPeA)和全氟辛酸(PFOA)是进、出水中的主要污染物.厌氧-缺氧-好氧(AAO)工艺对PFASs的去除率为 49.0%;改良型序批反应器(MSBR)工艺对PFASs的去除率为 72.2%,氧化沟工艺对PFASs的去除率为 25.0%.P1 和P3 进水中的PFASs主要来源于生活污水,P2 进水中的PFASs来源包括生活污水和工业废水.P1 出水中的全氟十二烷酸(PFDoDA)对纳污河流的鱼类和水蚤构成高生态风险,对藻类构成中等生态风险,P2 和P3 出水对纳污河流构成的生态风险较低.
Abstract
Using solid-phase extraction and ultra-high-performance liquid chromatography-tandem mass spectrometry(SPE-UPLC-MS-MS),17 per-and polyfluoroalkyl substances(PFASs)were analyzed in wastewater from three wastewater treatment plants in Guangxi(P1、P2、P3).The findings revealed 10 PFASs were detected with detection rates ranging from 33.3%to 100%.PFASs concentrations in influent and effluent ranged from 32.0 to 86.4 ng/L and 23.0 to 39.6 ng/L,respectively.Notably,perfluorobutanoic acid(PFBA),perfluoropentanoic acid(PFPeA),and perfluorooctanoic acid(PFOA)dominated the pollution profile.The anaerobic-anoxic-oxic(AAO)process exhibited a 49.0%removal efficiency,while the modified sequencing batch reactor(MSBR)achieved 72.2%,and the oxidation ditch process achieved 25.0%.Sewage was the main source of PFASs in influent of P1 and P3,but in influent of P2,the main sources of PFASs were sewage and industrial wastewater.Furthermore,PFDoDA in P1 effluent posed a high ecological risk to fish and water fleas,and a moderate risk to algae,while P2 and P3 effluents showed lower ecological risks to the receiving rivers.
关键词
全氟和多氟烷基物质/去除效率/污水处理工艺/来源/生态风险Key words
PFASs/Removal efficiencies/Wastewater treatment processes/Source/Ecological risks引用本文复制引用
基金项目
广西壮族自治区重点研发计划(AB21196039)
出版年
2024
NETL
NSTL
万方数据