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一个数据驱动的指数,用于评估BMP水质性能
Elizabeth A Fassman-Beck1, Edward D Tiernan1, Ka Lun Cheng2
1Southern California Coastal Water Research Project, 3535 Harbor Blvd. Ste. 110, Costa Mesa, CA 92627, USA.
Water research
|May 11, 2025
概括
一个新的雨水最佳管理实践 (BMP) 绩效指数 (PI) 提供了一种简单,公正的方法来评估水质处理性能. 这一数据驱动的指数为BMP规划,实施和维护提供了可操作的见解.
科学领域:
- 环境工程 环境工程
- 水质管理水质管理
- 风暴水管理风暴水管理
背景情况:
- 雨水最佳管理实践 (BMP) 对于减轻城市水污染至关重要.
- 由于不同的条件,评估BMP的真正性能可能是复杂的.
- 现有的评估方法可能无法为管理人员提供清晰,可操作的反.
研究的目的:
- 开发一个数据驱动的绩效指数 (PI),用于评估结构性雨水BMPs.
- 提供一种公正和简单的方法来解释BMP水质处理性能.
- 为BMP规划,实施和维护生成可操作的信息.
主要方法:
- 开发了一个使用现场监测的流入-流出污染物度的PI.
- 用户指定的水质基准标准进行客观比较的规范化数据.
- 将规范化数据捆绑到绩效类别 (成功,过剩,边际,不足,失败).
- 调整了一个分析层次程序,以结合多个污染物得分.
主要成果:
- 该PI允许比较BMP性能,无论处理机制,气候,水文或特定地点的污染物水平.
- 绩效类别为实现下游水质目标的潜力提供了明确的指标.
- 该PI方便选择BMP,比较类似的BMP,并提供可操作的反以进行改进.
结论:
- 开发的PI为评估雨水BMP性能提供了一个强大的,可适应的工具.
- 它为管理人员,设计人员和维护团队提供了清晰,可解释的反.
- 该计划支持有效的流域管理和实现水质目标的知情决策.
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