【摘要】 为完善海绵城市建设的整体规划设计，基于东南亚某经济开发区，结合雨洪管理模型(storm water management model, SWMM)和第三代非支配排序遗传算法(non-dominated sorting genetic algorithm-Ⅲ, NSGA-Ⅲ)建立了一个四目标优化模型，以地表径流系数、管道过载时间、节点溢流量等3个城市内涝指标和总投资成本作为优化目标进行求解.结果表明：该优化模型可实现多目标同步优化，获得效益较高的低影响开发(low impact development, LID)措施的设计方案，优化后地表径流系数为0.309～0.355,管道过载时间为23.834～27.967 h,节点溢流量为10 477～21 802 m~3,工程总投资成本为7.479亿～9.593亿元.研究结果可为未来海绵城市内涝控制设计提供技术参考.更多还原

【Abstract】 In order to improve the overall planning and design of sponge city construction, a four-objective optimization model is developed based on an economic development zone in Southeast Asia, combining the storm water management model(SWMM) and the non-dominated sorting genetic algorithm-Ⅲ(NSGA-Ⅲ). It takes three urban waterlogging indicators such as surface runoff coefficient, pipeline overload time, node overflow flow and the total investment cost as the optimization objective to solve the problem. The results show that the optimization model can achieve multi-objective synchronous optimization, and obtain the design scheme of low impact development(LID) measures with high benefits. After optimization, the optimized surface runoff coefficient ranges from 0.309 to 0.355, the pipe overload time ranges from 23.834 to 27.967 h, the node overflow flow rate ranges from 10 477 to 21 802 m~3, and the total investment cost of the project is 747.9 million to 959.3 million yuan. The research results can provide technical reference for the design of flood control in sponge cities in the future.更多还原