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    陈燕, 范津津, 潘耀忠, 张煜洲, 王锣洋, 潘婧, 王品, 胡潭高. 实测暴雨情景下子汇水区划分对溢流的影响研究[J]. 中国防汛抗旱, 2022, 32(8): 53-60. DOI: 10.16867/j.issn.1673-9264.2021264
    引用本文: 陈燕, 范津津, 潘耀忠, 张煜洲, 王锣洋, 潘婧, 王品, 胡潭高. 实测暴雨情景下子汇水区划分对溢流的影响研究[J]. 中国防汛抗旱, 2022, 32(8): 53-60. DOI: 10.16867/j.issn.1673-9264.2021264
    CHEN Yan, FAN Jinjin, PAN Yaozhong, ZHANG Yuzhou, WANG Luoyang, PAN Jing, WANG Pin, HU Tangao. Study on the influence of different sub-catchment zoning on the overflow simulation results under measured rainstorm scenario[J]. China Flood & Drought Management, 2022, 32(8): 53-60. DOI: 10.16867/j.issn.1673-9264.2021264
    Citation: CHEN Yan, FAN Jinjin, PAN Yaozhong, ZHANG Yuzhou, WANG Luoyang, PAN Jing, WANG Pin, HU Tangao. Study on the influence of different sub-catchment zoning on the overflow simulation results under measured rainstorm scenario[J]. China Flood & Drought Management, 2022, 32(8): 53-60. DOI: 10.16867/j.issn.1673-9264.2021264

    实测暴雨情景下子汇水区划分对溢流的影响研究

    Study on the influence of different sub-catchment zoning on the overflow simulation results under measured rainstorm scenario

    • 摘要: 汇水区是城市雨洪模型建模过程中的重要输入参数,对于城市雨洪模型模拟精度具有重要影响。在多场次实测暴雨情景下,开展了排水管网为主、地形数据为主以及综合地形和管网数据3种汇水区划分方法对SWMM模型(Storm Water Management Model)溢流模拟结果的影响研究。研究结果表明,相较于其他的汇水区划分方法,综合地形和管网的汇水区划分方法得到的子汇水区结果最符合真实情景,其溢流模拟精度比以排水管网为主的汇水区划分方法平均提高了约6.29%,说明其更适合于城市雨洪模拟。

       

      Abstract: Catchment area is an important input parameter in the process of urban storm water model modeling, which has an important impact on the simulation accuracy of urban stormwater model. Under multiple measured rainstorm scenarios, the study on the impact to the SWMM model overflow simulation results of three catchment zoningmethods including drainage pipe network-based, terrain data-based, and combining terrain and pipe network data, has been carried out. The results show that: compared with other catchment zoing methods, the sub-catchment results obtained by the combining terrain data and pipe network as catchment zoning method are most consistent with the real scenario. And its overflow simulation accuracy is about 6.29% higher than that of the drainage pipe network-based catchment zoning method, indicating that it is more suitable for urban storm flood simulation.

       

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