摘要
利用Morris筛选法,分析了3场不同雨强降雨条件下,城市降雨径流模型SWMM的水文水力模块和水质模块的参数灵敏度。结果表明:对SWMM模型径流总量和径流峰值最敏感的参数依次是不透水面洼蓄量(destore-imperv)、管道曼宁系数(conduit roughness)和汇流区宽度(width-K),最大灵敏度分别为-0.329、-0.144、0.133和-0.294、0.171和0.143;对污染物总量敏感性较高的是路面和屋面的最大积累量(max buildup)、冲刷系数(coefficient)和冲刷指数(exponent)参数。雨强对于SWMM模型水文水力参数中的下渗参数的敏感性有较大影响,而对水质参数的敏感性影响较小;研究区的土地利用状况对参数敏感性也有较大的影响。水质参数总体的稳定性要高于水文水力参数。
Sensitivity analysis is a crucial procedure for parameter identification. The parameter sensitivity of hydrological and contaminated modules in Storm Water Management Model （SWMM） was evaluated with three different intensities of rainfall based on the Morris screening method. The results showed that the descending order of parameter sensitivity to total runoff volume and peak flow was destoreimperv, conduit roughness and width-K, with sensitivity indices of -0.329, -0.144, 0.133 and -0.294, 0.171, 0.143, respectively. Max buildup, coefficient and exponent of road and roof parameters had higher sensitivities to water quality modeling. Rainfall intensity had a great influence on the sensitivities of infiltration parameters, but a weak influence on the sensitivities of water quality parameters. Land use had a great influence on the parameter sensitivity. The parameters of water quality were more stable than those of hydrological module in SWMM.
出处
《生态学杂志》
CAS
CSCD
北大核心
2014年第4期1076-1081,共6页
Chinese Journal of Ecology
基金
国家自然科学基金项目(41171155)
国家科技支撑计划项目(2012BAJ15B06)资助
