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面向计算时效的高密度城市暴雨洪涝管网降维模拟技术

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针对高密度城市暴雨洪涝数值模拟精度与计算效率的突出矛盾,基于短历时强降水特点、快速产汇流特性以及精细化模拟的局限性和实际需求等现状,从整个流域系统出发,根据水量平衡和管道过流能力等效原理,对管网进行降维概化处理,给出了等效管道参数的计算方法,并以广州市猎德涌流域为例,采用实测内涝淹没水深、位置和检查井、河道的水位过程评估模型适用性。结果表明:基于管网降维概化的耦合模型模拟的猎德涌流域河道、检查井的水位动态变化过程的纳什效率系数均大于0。7,提出的管网降维概化方法合理;地表淹没水深的相对误差为8。93%,绝对误差为0。05m,模拟速度较基于管网现状耦合模型提高了 57%;基于管网降维概化的耦合模型模拟结果与实际情况较为吻合,能够较好地反映城市洪涝演进过程,具有良好的准确性和高效性。
Dimension reduction simulation technology of pipeline network in rainstorm floods of high-density city for computational timeliness
In view of the prominent contradiction between the accuracy and calculation efficiency of the numerical simulation of rainstorm floods in high-density cities,based on the characteristics of short-term heavy rainfall,the characteristics of rapid runoff generation and concentration,the limitations and actual needs of refined simulation and other current situations,starting from the whole basin system,according to the principle of water balance and the equivalent flow capacity of the pipeline,the dimension reduction generalization of the pipeline network was carried out,and the calculation method of the equivalent pipeline parameters was given.Taking the Liedechong River Basin,Guangzhou City,as an example and the applicability of the model was evaluated by using the measured waterlogging submergence depth,location,and the process water level of the manholes and river channels.The results show that the Nash efficiency coefficients of the coupled model based on pipeline network dimensionality reduction generalization in simulating the dynamic changes of water levels in river channels and manhole of the Liedechong River Basin are all greater than 0.7.The proposed pipe network dimensionality reduction generalization method is reasonable.The relative error of surface inundation depth is 8.93%,and the absolute error is 0.05 m.The simulation speed has increased by 57%compared to the coupling model based on the current situation of the pipeline network.The simulation results of the coupled model based on pipeline network dimensionality reduction generalization are in good agreement with the actual situation,and can better reflect the evolution process of urban floods,with hiqh accuracy and efficiency.

high-density cityrainstorm floodequivalent flow capacitypipeline network dimension reduction modelLiedechong River Basin

袁寄望、陈文龙、赵铜铁钢、张大伟、李岚斌

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水利部珠江水利委员会珠江水利科学研究院,广东 广州 510611

中山大学水资源与环境研究中心,广东 广州 510275

高密度城市 暴雨洪涝 等效过流能力 管网降维模型 猎德涌流域

2024

水资源保护
河海大学 中国水利学会环境水利研究会

水资源保护

CSTPCD北大核心EI
影响因子:0.827
ISSN:1004-6933
年,卷(期):2024.40(6)