Key Laboratory of Integrated Regulation and Resource Development of Shallow Lakes of Ministry of Education, Hohai University, Nanjing 210098, PR China; College of Environment, Hohai University, Nanjing 210098, PR China.
Key Laboratory of Integrated Regulation and Resource Development of Shallow Lakes of Ministry of Education, Hohai University, Nanjing 210098, PR China; College of Environment, Hohai University, Nanjing 210098, PR China.
Water Res. 2024 Oct 1;263:122168. doi: 10.1016/j.watres.2024.122168. Epub 2024 Jul 28.
Identifying priority pollutants in wastewater treatment plant (WWTP) effluents is crucial for optimizing monitoring efforts, improving regulations, and developing targeted mitigation strategies. Despite the presence of numerous trace organic pollutants in WWTP effluents, a comprehensive prioritization scheme is lacking, hindering effective control. This study screened 216 micropollutants, including pharmaceuticals, pesticides, and industrial chemicals, which had been detected in effluents from 46 WWTPs across China. A multi-criteria prioritization method was developed, considering exposure potential based on median concentrations and detection frequencies, as well as hazard potential determined by persistence, bioaccumulation, in vitro toxicity, and in vivo toxicity. Pollutants with low exposure or hazard potential were filtered out, and a priority index was calculated to rank the remaining 59 substances. The top 15 priority pollutants included regulated persistent organic pollutants like perfluorooctanoic acid and their alternatives such as perfluorobutane sulfonate, pesticide transformation products, and emerging contaminants such as bisphenol A, which are not currently regulated in WWTP effluents. This study provides a systematic approach to identify priority pollutants and generates a guiding framework for monitoring, regulation, and control of both well-recognized and overlooked contaminants in WWTP effluents.
识别污水处理厂 (WWTP) 废水中的优先污染物对于优化监测工作、改进法规和制定有针对性的缓解策略至关重要。尽管 WWTP 废水中存在许多痕量有机污染物，但缺乏全面的优先排序方案，这阻碍了有效的控制。本研究筛选了 216 种微量污染物，包括药物、农药和工业化学品，这些物质均已在来自中国 46 个 WWTP 的废水中检出。开发了一种多标准优先排序方法，考虑了基于中位数浓度和检测频率的暴露潜力，以及由持久性、生物蓄积性、体外毒性和体内毒性确定的危害潜力。筛选出暴露或危害潜力较低的污染物，并计算剩余 59 种物质的优先级指数进行排序。前 15 种优先污染物包括受管制的持久性有机污染物，如全氟辛酸及其替代品全氟丁烷磺酸，农药转化产物和新兴污染物，如双酚 A，这些物质目前不受 WWTP 废水排放的管制。本研究提供了一种系统的方法来识别优先污染物，并为监测、监管和控制 WWTP 废水中已识别和未被关注的污染物提供了指导框架。
