一个基于规则的多目标优化框架,用于在极端降雨和潮逆流的情况下控制沿海城市河流网络的洪水
Pei Yu1, Soon-Thiam Khu1, Xiaotian Qi1
1School of Environmental Science & Engineering, Tianjin University, Tianjin, 300350, China.
Journal of environmental management
|January 10, 2026
概括
本研究介绍了一个使用风暴水管理模型 (SWMM) 和NSGA-II的框架,以优化沿海城市的液压基础设施. 它大大降低了洪水风险和运营成本,提高了城市的抗灾能力.
科学领域:
- 环境工程 环境工程
- 水资源管理 水资源管理
- 城市水文学 城市水文学
背景情况:
- 沿海城市河流网络面临因极端降雨和潮影响而不断升级的洪水风险.
- 有效地管理液压基础设施对于缓解这些复合洪水挑战至关重要.
研究的目的:
- 开发基于规则的多目标优化框架,用于推导液压基础设施的运行规则.
- 尽量减少沿海城市河流网络的溢出风险和运营成本.
主要方法:
- 将风暴水管理模型 (SWMM) 与NSGA-II算法结合起来,创建一个多目标优化模型.
- 在各种降雨和潮情景下,将框架应用于福州市的一条河流网络.
- 使用趋同,适应性指标评估性能,并确定最佳的水位规则控制 (WL-RBC) 方案.
主要成果:
- 与原始方案相比,优化框架显著降低了超值深度 (48.99%-77.22%) 和能源消耗 (>92%).
- 基于水位规则的水位控制 (WL-RBC) 方案在各种水文条件下显示出适应性 (DCR 0.74-1.0).
- 增强的液压性能包括更好的储存利用率,减少水位波动,缩短洪水持续时间,并转向门优先操作,从而节省了大量的能源.
结论:
- 拟议的框架有效地提高了面临复合洪水的沿海城市河流网络的弹性,适应性和能源效率.
- 优化水利基础设施的运行规则对于洪水易发地区的可持续城市水资源管理至关重要.
- 该研究提供了一个可扩展的解决方案,用于改善全球类似城市环境中的洪水控制和运营效率.
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