Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach
文献类型：期刊论文
| 作者 | Huang, Jiehui2; Cheng, Fei1; He, Liwei2; Lou, Xiaohan2; Li, Huizhen2; You, Jing2 |
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2024-10-15 |
| 卷号 | 264页码:12 |
| 关键词 | Text mining Contaminants of emerging concern Sewage treatment plants Risk quotient Exposure activity ratio Effect-directed prioritization |
| ISSN号 | 0043-1354 |
| DOI | 10.1016/j.watres.2024.122223 |
| 英文摘要 | A diversity of contaminants of emerging concern (CECs) are present in wastewater effluent, posing potential threats to receiving waters. It is urgent for a holistic assessment of the occurrence and risk of CECs related to wastewater treatment plants (WWTP) on national and regional scales. A data mining-based risk prioritization method was developed to collect the reported contaminants and their respective concentrations in municipal and industrial WWTPs and their receiving waters across China over the past 20 years. A total of 10,781 chemicals were reported in 8336 publications, of which 1037 contaminants were reported with environmental concentrations. While contaminant categories varied across WWTP types (municipal vs. industrial) and regions, pharmaceuticals and cyclic hydrocarbons were the most studied CECs. Contaminant composition in receiving water was closer to that in municipal than industrial WWTPs. Publications on legacy pesticides and polycyclic aromatic hydrocarbons in WWTP decreased recently compared to the past, while pharmaceuticals and perfluorochemicals have received increasing attention, showing a changing concern over time. Detection frequency, concentration, removal efficiency, and toxicity data were integrated for assessing potential risks and prioritizing CECs on national and regional scales using an environmental health prioritization index (EHPi) approach. Among 666 contaminants in municipal WWTP effluent, trichlorfon and perfluorooctanesulfonic acid were with the highest EHPi scores, while 17 alpha-ethinylestradiol and bisphenol A had the highest EHPi scores among 304 contaminants in industrial WWTPs. The prioritized contaminants varied across regions, suggesting a need for tailoring regional measures of wastewater treatment and control. |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001291404800001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/80572]  |
| 专题 | 有机地球化学国家重点实验室 |
| 通讯作者 | Li, Huizhen; You, Jing |
| 作者单位 | 1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China 2.Jinan Univ, Sch Environm, Guangdong Key Lab Environm Pollut & Hlth, Guangzhou 511443, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Jiehui,Cheng, Fei,He, Liwei,et al. Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach[J]. WATER RESEARCH,2024,264:12. |
| APA | Huang, Jiehui,Cheng, Fei,He, Liwei,Lou, Xiaohan,Li, Huizhen,&You, Jing.(2024).Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach.WATER RESEARCH,264,12. |
| MLA | Huang, Jiehui,et al."Effect driven prioritization of contaminants in wastewater treatment plants across China: A data mining-based toxicity screening approach".WATER RESEARCH 264(2024):12. |
入库方式： OAI收割
来源：广州地球化学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。