High rates of soil imperviousness, intensified by urbanization, have been contributing strongly to the occurrence of floods all over the world. To mitigate these impacts, Low Impact Development (LID) techniques seek to preserve the hydrology of urban catchments closer to pre-development conditions by using distributed stormwater control systems. Nevertheless, the application of these techniques is associated with a variety of challenges, including the design of the LID controls, due to the significant number of variables involved and the need to attend to multiple objectives simultaneously. In this context, the application of hydrologic simulation models integrated with optimization techniques has been recently explored as an alternative to assist in planning LID scenarios. This work aims to verify the applicability of an adaptation of the Genetic Algorithm NSGA-II, together with the hydrologic model SWMM, to assist the optimal design of a LID scenario seeking to reduce the stormwater runoff and the total costs on different return periods. This scenario has considered the combined implementation of permeable pavements, green roofs and bioretention cells. The results showed that the model was capable of finding a great variety of optimal solutions on various levels of runoff reduction, at different costs, for all return periods considered. Regarding the applicability of the optimization model as a LID design method, some limitations were found related to practical applications and possible oversizing of the subjacent layers of the LIDs. Therefore, suggestions on how to improve the model have been made to solve the identified problems.

城市化加剧了土壤不透水率高，是世界各地洪水发生的重要原因。为了减轻这些影响，低影响开发 (LID) 技术试图通过使用分布式雨水控制系统来保护更接近开发前条件的城市集水区的水文。然而，这些技术的应用与各种挑战相关，包括 LID 控制的设计，因为涉及的变量数量很多，并且需要同时关注多个目标。在这种情况下，最近探索了与优化技术相结合的水文模拟模型的应用，作为辅助规划 LID 场景的替代方法。这项工作旨在验证遗传算法 NSGA-II 的适应性以及水文模型 SWMM 的适用性，以协助 LID 情景的优化设计，以减少不同重现期的雨水径流和总成本。该方案考虑了透水路面、绿色屋顶和生物滞留单元的组合实施。结果表明，对于所考虑的所有重现期，该模型能够以不同的成本找到各种不同程度的径流减少的最佳解决方案。关于优化模型作为 LID 设计方法的适用性，发现与实际应用和 LID 的下层可能尺寸过大有关的一些限制。所以，