水环境中重金属污染的生态足迹模型基于潜在的生态风险指数
Feng Yan1, Na Li1, Jingyi Wang2
1School of Infrastructure Engineering, Nanchang University, Nanchang, 330031, China; Key Laboratory of Poyang Lake Environment and Resource Utilization, Nanchang University, Ministry of Education, Nanchang, 330031, China.
Journal of environmental management
|August 4, 2023
概括
一个新的重金属污染 (EFHM) 生态足迹模型有效评估水生生态系统的累积风险. 该研究强调,需要改善中部中国的矿山污染控制和工业废水处理.
科学领域:
- 环境科学 环境科学
- 生态毒理学 生态毒理学
- 风险评估 风险评估
背景情况:
- 由于沉积物吸附和累积效应,社会重金属污染威胁到水生生态系统.
- 传统的生态足迹模型不考虑沉积物中的污染物积累.
研究的目的:
- 开发和应用重金属污染 (EFHM) 模型的生态足迹.
- 量化重金属污染风险,确定水生环境中的关键因素.
主要方法:
- 根据潜在的生态风险指数 (PERI) 构建了一个EFHM.
- 定义EFHM为限制累积重金属风险所需的沉积面积.
- 使用的生态足迹指数 (EFI) 和生态足迹贡献率 (EFCR) 用于危害量化.
主要成果:
- 该EFHM模型有效评估沉积物中的累积重金属生态危害.
- 中国中部地区的EFHM值从2015年的20764.56平方公里下降到2020年的17358.59平方公里.
- 湖南和江西省的EFI有所改善,而湖北省的EFI有所恶化;Hg和Cd被确定为特定地区的关键风险因素.
结论:
- EFHM是评估累积重金属污染的强大工具.
- 矿山污染控制和工业废水处理需要在中国中部进一步关注.
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