Simulation of pipeline network drainage at urban community scales based on SWMM:A case study in Fuzhou City
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Abstract:
Under the joint influence of climate change and rapid urbanization,China's cities are facing increasingly severe flood problems.SWMM（storm water management model） is an important tool for calculating and analyzing the urban rainstorm,which has been widely used in urban drainage analysis,urban flood simulation,evaluation of sponge city building,water quality change,etc.Although lots of work have been done in this domain,the analysis of the whole process of pipe network drainage at the scale of the urban community still needs to be further improved. Based on the measured rainfall data and measured pipeline water level data,the main parameters of the SWMM are optimized and cablibrated through a genetic algorithm,and the Morris method is used to analyze the sensitivity of each parameter.On this basis,using rainfall-driven models with different return periods,the drainage capacity of community drainage networks under different scenarios is compared and analyzed. The results show that the parameter calibration of the SWMM based on a genetic algorithm has obtained good results.The Nash efficiency coefficient(ENS) calculated for 20180531 rainfall event is 0.82,and for the 20180620 rainfall event is 0.81,respectively.The errors of measured maximum water level,peak time,and other parameters are within 2%.Through the Morris sensitivity analysis of the parameters,the maximum infiltration rate,minimum infiltration rate,decay constant,and pipeline roughness of the SWMM of the residential area are more sensitive model parameters. Using different combined scenarios to drive the SWMM,taking a typical drainage community in Jin′an District,Fuzhou as [JP2]an example,a relatively complete urban drainage waterlogging analysis system is proposed.Based on analysis of the drainage capacity of the drainage pipe network under the rainfall scenarios of different return[JP] periods,when the rainfall duration increases,the flow,average overload duration of nodes,overflow number of nodes,full pipe time,and other indicators are greatly affected by the rainfall return period,and the overload number of nodes and full flow pipes are relatively less affected by the rainfall duration.Some reference can be provided for the simulation and evaluation of pipe network drainage systems at urban community scale.
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