耦合CA与SWMM的城市内涝模拟模型开发与应用

Development and application of urban waterlogging simulation model coupled with CA and SWMM

综合考虑地表产流漫流与地下雨水管网的交互作用,耦合元胞自动机(cellular automata,CA)与暴雨洪水管理模型(storm water management model,SWMM),构建了城市内涝模拟模型(CA-based urban flooding model,CAUFM),并采用英国环境部提供的二维水力模型系列基准测试数据与实测降雨径流数据对CA-UFM模型的准确性及其模拟速度进行了测试分析。应用CA-UFM模型对北京市国家海绵试点区中的建成区进行了不同重现期下的内涝风险评估,结果表明,经过图形处理器(graphics processing unit,GPU)加速后的CA-UFM模型能够在快速模拟的同时确保得到较为准确的结果,为后续海绵城市建设源头设施的布局方案研究提供技术支撑。

After comprehensively considering the interaction between surface flooding and underground rainwater network,a CA(cellular automata)-based urban flooding model(CA-UFM)is constructed by coupling CA and SWMM(storm water management model).The accuracy and simulation speed of the CA-UFM model construction are tested and analyzed by using the benchmark test data of the 2D hydraulic model series of the UK Environment Department and the measured rainfall runoff data.The CA-UFM model is used to assess the risk of waterlogging of the built-up area in the national sponge pilot area of Beijing corresponding to the design rainfall in different recurrence periods.The results show that the GPU-accelerated CA-UFM model can ensure rapid simulation with more accurate results,and provides technical support for the subsequent research on the layout of sponge facilities in sponge city construction.