Rapid urbanization and development have led to adverse effects on the urban landscape through flooding and non-point pollutions. Low impact development (LID) techniques, as semi-engineered storm water practices, alleviate urban flooding and pollution. In this study, a simulation-optimization (SO) framework is developed to address the multi-scale, multi-parameter problem of pond and LID sizing and locating. Multi-objective, multi-circuit Electimize (MOMCE) optimization algorithm is developed in Matlab environment and coupled to the storm water management model (SWMM) to provide a comprehensive tool for restoring pre-development hydrological condition, while improving stormwater quality. The optimal layout and sizing of ponds and LID techniques are determined for a spectrum of design storms, including 2-, 5-, 10-, and 50-year events considering peak runoff flow and total suspended solids (TSS) loads. It is shown that increasing the return periods of storm events leads to the increased size of detention ponds and LIDs with storage features. Whereas, larger ponds and LID techniques with longitudinal expansion characteristics are more evident in the TSS Load reduction objective. The research indicates that, for a 10-year storm, renovation of old urban tissues in the study area and proper utilization of LID techniques may result in 33 % and 29.7 % reduction of peak flow and TSS loads, respectively.

快速的城市化和发展已导致洪水和非点源污染对城市景观产生不利影响。低影响开发（LID）技术（作为半工程化的雨水实践）减轻了城市洪水和污染。在这项研究中，开发了模拟优化（SO）框架来解决池塘的多尺度，多参数问题以及LID的大小和位置。在Matlab环境中开发了多目标，多回路电气化（MOMCE）优化算法，并与雨水管理模型（SWMM）耦合，为恢复开发前的水文条件提供了综合工具，同时改善了雨水质量。根据一系列设计风暴（包括2、5、10，和50年事件，考虑了径流量峰值和总悬浮固体（TSS）负荷。结果表明，暴风雨事件的重现期增加导致拘留池和具有存储功能的LID的规模增加。而在TSS减载目标中，大型池塘和具有纵向扩展特性的LID技术更为明显。研究表明，对于10年的暴风雨，研究区域内旧城区组织的改造和LID技术的合理利用可能分别导致峰值流量和TSS负荷减少33％和29.7％。在TSS减载目标中，较大的池塘和具有纵向扩展特性的LID技术更为明显。研究表明，对于10年的暴风雨，研究区域内旧城区组织的改造和LID技术的合理利用可能分别导致峰值流量和TSS负荷减少33％和29.7％。在TSS减载目标中，较大的池塘和具有纵向扩展特性的LID技术更为明显。研究表明，对于10年的暴风雨，研究区域内旧城区组织的改造和LID技术的合理利用可能分别导致峰值流量和TSS负荷减少33％和29.7％。