城市雨水系统的多目标优化
Bozhen Wang1, Yongwei Gong1, Xin Li2
1Key Laboratory of Urban Stormwater System and Water Environment, Ministry of Education, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
Journal of environmental management
|May 15, 2025
概括
使用多目标模型优化城市雨水系统可显著降低洪水风险和成本. 储存,进水时间和排放能力的关键调整提高了系统性能和对极端降雨事件的弹性.
科学领域:
- 环境工程 环境工程
- 城市水文学 城市水文学
- 适应气候变化 适应气候变化
背景情况:
- 城市洪水因城市化和气候变化而加剧,压倒了传统的雨水管理.
- 现有系统在降低洪水风险方面,在容量,连接性和成本效益方面扎.
- 迫切需要优化雨水解决方案,平衡多个目标.
研究的目的:
- 开发和应用城市雨水系统的多目标优化模型.
- 同时提高洪水风险减轻,设施效率和成本效益.
- 提供决策支持,以提高城市对过度排水的抵御力.
主要方法:
- 使用非主导排序遗传算法II (NSGA-II) 进行多目标优化.
- 为洪水风险,设施利用率和经济成本开发了一个全面的评估指数系统.
- 将模型应用于30年回报期降雨情景下的案例研究.
主要成果:
- 优化雨水储存量增加到上游洪水容量的27%.
- 进口时间优化至44mm/h,排放能力提升至0.8 m3/s.
- 系统性能,降低洪水风险和成本效益均显著改善.
结论:
- 关键决策变量的科学管理对于优化雨水系统至关重要.
- 开发的优化方法为城市洪水管理提供了有价值的决策支持.
- 增强的雨水系统对于城市至关重要,这些城市面临着由于气候变化和城市化而日益增加的洪水风险.
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