在华河流域水质段的污染源识别和减排,中国
Yonggui Wang1, Xuelian Ding1, Yan Chen2
1Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
Journal of environmental management
|June 17, 2023
概括
识别污染源,如畜牧场和污水处理厂,是流域管理的关键. 本研究提出了一个框架,以确定污染物的来源,并指导有效的水质改善项目.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 污染控制 污染控制
背景情况:
- 有效的流域管理需要准确识别污染源及其贡献.
- 现有的方法缺乏综合污染源分析和控制的系统框架.
- 黄河流域因各种污染物投入而面临水质管理方面的挑战.
研究的目的:
- 提出和应用一个全面的污染源识别和减少污染物的框架.
- 量化不同来源对水质参数的贡献率.
- 制定和评估有针对性的污染控制战略的有效性.
主要方法:
- 开发一个系统的框架,用于污染物识别和减排.
- 用1D河水质量模型应用污染物流量变化方法.
- 在各种空间和时间尺度上计算污染物贡献.
- 场景模拟用于评估减排项目的有效性.
主要成果:
- 畜牧场和污水处理厂是总 (TP) 的主要来源.
- 污水处理厂和工业排放对氨 (NH3-N) 的贡献很大.
- 特定的城镇和分区被确定为TP和NH3-N污染的主要贡献者.
- 确定的城镇内的点源是TP和NH3-N的主要贡献者.
结论:
- 开发的框架准确地确定了污染源,并评估了减排项目的有效性.
- 有针对性的干预措施,例如升级污水处理厂和改善畜牧场设施,可以显著提高水质.
- 该研究为改进流域管理和水环境保护提供了有价值的工具.
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