城市内涝问题进一步突显了城市水文循环研究的重要性.基于地表建筑、地下管道、雨水工程等 资料,基于SWMM建立了清华大学校园雨洪模拟模型,根据2015年5月10日和2012年7月21日两 场降雨事件的实测资料,进行了清华大学校园水文过程精细模拟,用道路积水深度率定验证模型.模拟 结果表明:(1)集水区下垫面透水性强弱不同时,产流过程仍十分相似,最大洪峰发生时间相同;(2)绿化 带削减洪量的作用显著,不透水面积越大的地方越容易发生街道积水;(3)道路水深对降雨强度响应敏 感,低强度降雨事件中,道路积水表现出0.5~1h 的滞后.
Among all the reasons, urban storm flooding problem urges the process of urban water cycle research even more. In this - paper, we built a high-resolution hydrological model of Tsinghua University based on SWMM, and simulated two rainfall events (10/ 5/2015 and 21/7/2012) with the observed precipitation data. The model was calibrated and validated with road water-logging depth. The results indicate that: (1) the runoff processes are similar even though the perviousness of sub - catchments are different;(2) the station has a remarkable effect on flood peak and road water-logging reduction; (3) water-logging depth of road responses sensitively to rainfall intensity, and showing 0.5? 1h ’ s time lag in the low-intensity rain events.