舒心怡, 徐宗学, 叶陈雷, 廖如婷, 黄亦轩, 王京晶, 贾书惠. 晋城市不同区域洪涝驱动要素分析[J]. 北京师范大学学报(自然科学版), 2024, 60(2): 203-217. DOI: 10.12202/j.0476-0301.2023204
引用本文: 舒心怡, 徐宗学, 叶陈雷, 廖如婷, 黄亦轩, 王京晶, 贾书惠. 晋城市不同区域洪涝驱动要素分析[J]. 北京师范大学学报(自然科学版), 2024, 60(2): 203-217. DOI: 10.12202/j.0476-0301.2023204
SHU Xinyi, XU Zongxue, YE Chenlei, LIAO Ruting, HUANG Yixuan, WANG Jingjing, JIA Shuhui. Driving factors for urban flooding/waterlogging in different zones in Jincheng city[J]. Journal of Beijing Normal University(Natural Science), 2024, 60(2): 203-217. DOI: 10.12202/j.0476-0301.2023204
Citation: SHU Xinyi, XU Zongxue, YE Chenlei, LIAO Ruting, HUANG Yixuan, WANG Jingjing, JIA Shuhui. Driving factors for urban flooding/waterlogging in different zones in Jincheng city[J]. Journal of Beijing Normal University(Natural Science), 2024, 60(2): 203-217. DOI: 10.12202/j.0476-0301.2023204

晋城市不同区域洪涝驱动要素分析

Driving factors for urban flooding/waterlogging in different zones in Jincheng city

  • 摘要: 兼顾城市不同空间特征的内涝问题,是提升城市防洪排涝能力的关键.本文以晋城市主城区为例,针对不同开发程度的管网密集区与管网稀疏区2类下垫面,构建SWMM-ICM-WCA2D模型,模拟不同降雨情景下管网排水与地表淹没状态,分析城市内涝驱动要素.结果表明:管网密集区的内涝积水主要受降雨强度、管网排水能力和地形特征的影响,主城区现状管网设计标准较低,5 a一遇降雨条件下排水容量已趋于饱和;管网稀疏区高程≤751 m的淹没区水深较大,其余高程大的区域积水深度较小而流速较大;不同降雨情景下,管网指标与淹没要素间均表现出较强的相关性,特别在高水深(>1 m)时的联系更为密切,相关系数>0.78.

     

    Abstract: Study of city flooding/waterlogging with different spatial characteristics is key for flood prevention and improved drainage. The main urban area of Jincheng city is studied here. The SWMM-ICM-WCA2D model is improved to simulate drainage and surface inundation states of pipe networks under different rainfall scenarios, to analyze the driving factors of urban flooding/waterlogging for dense pipe network areas and sparse pipe network areas. The waterlogging in dense pipe network areas is found mainly influenced by rainfall intensity, pipe network drainage capacity and topographic features. The design standard of the current pipe network in the main urban area is low, the drainage capacity is saturated under 5-year rainfall condition. The water depth in the inundation area with elevations of < 751 m in the sparse area of the pipe network is larger. The water depth in the rest of the area with higher elevations is smaller but the flow rate is larger. The correlation between pipe network indicators and inundation elements is strong under different rainfall scenarios, especially at greater water depths of > 1 m.

     

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