The autocalibration tool, validated SWMM model and the simulation results data

The autocalibration tool coupling SWMM with the Genetic Optimization Algorithm is used to constantly change the parameter combination of the model, and choose the best parameter group by comparing the performance of the model. The validated SWMM model is used to simulated hydrological processes with different rainfalls. the climate projection data for three periods in four return periods are used to analyze the flooding process under different scenarios. The simulation result data including the total waterlogging volume and waterlogging duration is showed as the attribute data of the manholes

将暴雨管理模型（Storm Water Management Model，SWMM）与遗传优化算法（Genetic Optimization Algorithm）相耦合的自动校准工具，可持续调整模型的参数组合，并通过对比模型性能筛选出最优参数组。经率定验证后的SWMM模型被用于模拟不同降雨情景下的水文过程；本研究采用涵盖四个重现期下三个时段的气候预估数据，分析不同情景内的内涝过程。模拟结果数据（包括总积水体积与积水历时）将作为检查井的属性数据予以展示。