在中国各地的废水处理厂中对污染物的效果驱动优先考虑:基于数据挖掘的毒性选方法
Jiehui Huang1, Fei Cheng2, Liwei He1
1Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China.
Water research
|August 8, 2024
概括
废水中的新兴关注污染物 (CEC) 对水体构成风险. 这项研究使用数据挖掘方法优先考虑了中国的CEC,确定了市政和工业废水及其接收水中的关键污染物.
科学领域:
- 环境化学环境化学
- 环境科学 环境科学
- 风险评估 风险评估
背景情况:
- 废水废水含有各种新兴关注的污染物 (CEC),威胁水生生态系统.
- 在国家和区域范围内,对CEC的发生和废水处理厂 (WWTP) 的风险进行全面评估至关重要.
研究的目的:
- 开发一种基于数据挖掘的风险优先分类方法,用于中国水域水处理和接收水域的 CEC.
- 评估过去20年的CEC的发生,风险和趋势.
- 为有针对性的管理确定优先级较高的 CEC.
主要方法:
- 20年来从8336个出版物中挖掘数据,从1037种化学品中收集污染物数据.
- 污染物类别,度,检测频率,去除效率和毒性的分析.
- 应用环境健康优先级指数 (EHPi) 进行风险评估和优先级.
主要成果:
- 药品和循环碳化合物是研究最多的CEC,趋势转向药品和化物.
- 接收水中的污染物概况更像是城市的WWTP废水,而不是工业废水.
- 三和 perfluorooctanesulfonic 酸 (PFOS) 在市政 WWTPs 优先,而 17α-乙烯和双A 在工业 WWTPs 优先.
结论:
- 优先考虑的 CEC 的区域差异需要定制的废水处理和控制策略.
- 在EHPi方法有效地优先考虑CECs环境健康风险管理.
- 了解 CEC 的时间趋势对于适应性环境保护措施至关重要.
关键词:
新出现的污染物引起了人们的关注.以结果为导向的优先级排序.风险投资活动比率的曝光率.风险系数 风险系数 风险系数污水处理厂 污水处理厂文本挖掘 (Text Mining) 是一种文字挖掘方式.更多相关视频
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