SWMM模型参数敏感度分析应用研究  

Research on Application of SWMM Model Parameter Sensitivity Analysis

作　　者：郭旖琪 马立山[1] 王利民[1] 杨国丽[1] 张海平[1] GUO Yi-qi;MA Li-shan;WANG Li-min;YANG Guo-li;ZHANG Hai-ping(Hebei Institute of Architecture and Civil Engineering,Zhangjiakou,Hebei 075000)

机构地区：[1]河北建筑工程学院,河北张家口075000

出　　处：《河北建筑工程学院学报》2020年第1期133-137,共5页Journal of Hebei Institute of Architecture and Civil Engineering

基　　金：河北省教育厅2018年度河北省高等学校科学技术研究项目(科技重点项目)(ZD2018202);河北建筑工程学院研究生创新基金项目(XB201934)。

摘　　要：SWMM模型参数一般根据SWMM手册中取值范围经验选取,但根据经验值模拟的计算结果与实际情况相差较大。针对上述问题本研究基于扰动分析法对参数进行敏感度分析,利用多目标粒子群优化算法对模型参数率定。分析结果表明,参数对峰值流量而言,不透水区曼宁系数和透水区曼宁系数为敏感参数;参数对总产流而言,不透水区曼宁系数、透水区曼宁系数和最小渗入速率为敏感参数,粒子群的多目标优化算法对模型参数率定的计算结果相对误差较小,精确度较高。The parameters of the SWMM model are generally selected empirically according to the range of values in the SWMM manual,but the calculation results simulated based on the empirical values differ greatly from the actual situation.In view of the above problems,the sensitivity of the parameters is analyzed based on the perturbation analysis method,and the multi-objective particle swarm optimization algorithm is used to determine the model parameters.The analysis results show that the peak flow rate,the Manning coefficient of the impervious area and the Manning coefficient of the permeable area are sensitive parameters,and the total production flow,the Manning coefficient of the impervious area,the Manning coefficient of the permeable area and the minimum infiltration rate are sensitive parameters.The multi-objective optimization algorithm of the group sets the model parameter rate well,and the relative error of its calculation result reaches the expected allowable reasonable error range.

关 键 词：SWMM 敏感度分析 多目标粒子群 

分 类 号：TU992[建筑科学—市政工程]