The autocalibration tool, validated SWMM model and the simulation results data
Published: 12 July 2020| Version 2 | DOI: 10.17632/j6gsz7wrjs.2
Contributors:
Jinjin Hou, Yongyong ZhangDescription
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
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Categories
Geography, Automatic Programming, Complex Project