摘要
通过实测青岛市的降雨,以建模完成的SWMM模型为背景,进行了参数率定。采用初步率定完成的SWMM模型,通过扰动分析法对水文水质进行了局部灵敏度分析。结果表明,对于SWMM模型模拟的青岛市降雨,水文上不透水区曼宁系数对峰值流量模型的灵敏度最大,其次为透水区洼地蓄水深度;水质方面以COD的累积为判断标准,对COD峰值浓度最敏感的是道路最大累积量,其次是道路速率常数。
The rainfall in Qingdao City was measured with SWMM model as the background to determine the parameter rate. The SWMM model after preliminary rate setting was carried out to analyze the local sensitivity of hydrology and water quality by perturbation analysis method. The results showed that as for the rainfall of Qingdao City under the SWMM model simulation, of hydrological parameters, the N-imperv possessed maximum sensitivity of peak flow model, followed by the Des-perv. In aspect of water quality, taking the accumulation of COD as a decision standard, the most sensitive indicator to the COD peak concentration was road maximum buildup, followed by road rate constant.
出处
《供水技术》
2018年第1期11-14,共4页
Water Technology
关键词
SWMM
降雨事件
参数率定
水文参数
水质参数
SWMM
rainfall events
parameter rate determination
hydrologic parameters
water quality parameter