基于SWMM和SIMWE模型水文水动力耦合的岳阳市主城区内涝模拟
作者:
作者单位:

(1.武汉大学水资源工程与调度全国重点实验室;2.武汉大学海绵城市建设水系统科学湖北省重点实验室;3.长江生态环保集团有限公司 )

作者简介:

邱靖宇(2002—),男,硕士研究生,主要从事城市内涝模拟研究。E-mail:jyq2020@whu.edu.cn

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基金项目:

水利部重大科技项目(SKS-2022014);长江生态环保集团有限公司科研项目(HBZB2024029)


Simulation of waterlogging in main urban area of Yueyang City based on hydrological-hydrodynamic coupling of SWMM and SIMWE model
Author:
Affiliation:

(1.StateKey Laboratory of Water Resources Engineering and Management, Wuhan University; 2.Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University; 3.Yangtze Ecology and Environment Co., Ltd.)

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    摘要:

    针对现有城市内涝模拟方法难以兼顾效率与精度,影响实时预测与应急管理的问题,为提升岳阳市主城区内涝风险评估与管理能力,构建了基于SWMM和SIMWE模型的水文水动力耦合模型,采用实测数据对模型进行了验证,进而分析了岳阳市主城区节点溢流和内涝风险区的分布特征。结果表明:模型模拟的淹没状况与实测数据高度吻合,模型时效性高,模拟暴雨过程3h和24h时长所需时间分别为5.5、32.5min;总溢流量和淹没面积随降雨重现期的增大呈对数非线性增长,短历时强降雨溢流量占降水量比例大,溢流起始时间随重现期增大而提前;模型识别出了16处内涝风险区,内涝高风险区空间格局相对固定。

    Abstract:

    In view of the problem that the existing urban waterlogging simulation methods are difficult to balance efficiency and accuracy, which affects real-time prediction and emergency management, to improve the risk assessment and management ability for waterlogging in the main urban area of Yueyang City, a hydrological-hydrodynamic coupling model based on SWMM and the SIMWE model was constructed. The model was verified by using measured data, and the drainage node overflow and risk distribution characteristics of waterlogging in the main urban area of Yueyang City were further analyzed. The results show that the inundation conditions simulated by the model are highly consistent with the measured data, and the simulation times of the 3-h and 24-h rainstorms are 5.5 min and 32.5 min, respectively, indicating superior computational efficiency of the model. The overflow volume and inundation area of urban flooding increase logarithmically and nonlinearly with the increase of the rainfall return period. The overflow volume of short-duration heavy rainfall accounts for a larger proportion of the total precipitation, and the onset of overflow is advanced with the increase of the rainfall return period. The model identified 16 critical waterlogging-prone areas, and the spatial pattern of high-risk urban flooding areas is relatively fixed.

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邱靖宇,程磊,周楚天,等.基于SWMM和SIMWE模型水文水动力耦合的岳阳市主城区内涝模拟[J].水资源保护,2026,42(1):121-128.(Qiu Jingyu, Cheng Lei, Zhou Chutian, et al. Simulation of waterlogging in main urban area of Yueyang City based on hydrological-hydrodynamic coupling of SWMM and SIMWE model[J]. Water Resources Protection,2026,42(1):121-128.(in Chinese))

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  • 在线发布日期: 2026-02-03
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