To select optimal LID in urban areas, an optimization assessment framework considering hydrological processes and cost-effectiveness is proposed. To provide the desired runoff reduction efficiencies, hydrological processes of LID were analyzed using a probabilistic analysis of rainfall event characteristics. Meanwhile, life-cycle costs were estimated to determine benefits and costs of implementing different LID units. Finally, various solutions having maximum runoff reductions but different costs were selected using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The results show that the bioretention cell, which had maximum runoff reduction capacity, was identified as a priority measure for implementation. However, given the potential for large implementation areas, resulting in marked runoff reduction benefits, permeable pavements are a more reasonable measure for the study area. Using the NSGA-II to identify optimal cost-effective LID options is convenient for decision makers, tasked with selecting solutions based on their available budgets and runoff reduction objectives in urban environments.

为了选择城市地区的最佳LID，提出了一种考虑水文过程和成本效益的优化评估框架。为了提供所需的径流减少效率，LID的水文过程使用降雨事件特征的概率分析进行了分析。同时，估计了生命周期成本，以确定实施不同LID单元的收益和成本。最后，使用非支配排序遗传算法II（NSGA-II）选择了具有最大径流减少但成本不同的各种解决方案。结果表明，具有最大径流减少能力的生物滞留池被确定为实施的优先措施。但是，鉴于潜在的大型实施领域，可以显着减少径流，透水路面是研究区域更合理的措施。使用NSGA-II来确定最佳的具有成本效益的LID选项对于决策者非常方便，他们的任务是根据他们的可用预算和城市环境中的径流减少目标来选择解决方案。