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    肖凤林, 卜王超, 屠飞翔, 邓蔚珂, 周志强, 杨昊, 师鹏飞. 城市街道尺度下洪涝灾害韧性评估——以江苏宜兴市宜城街道为例[J]. 中国防汛抗旱, 2025, 35(8): 1-11. DOI: 10.16867/j.issn.1673-9264.2024301
    引用本文: 肖凤林, 卜王超, 屠飞翔, 邓蔚珂, 周志强, 杨昊, 师鹏飞. 城市街道尺度下洪涝灾害韧性评估——以江苏宜兴市宜城街道为例[J]. 中国防汛抗旱, 2025, 35(8): 1-11. DOI: 10.16867/j.issn.1673-9264.2024301
    XIAO Fenglin, BU Wangchao, TU Feixiang, DENG Weike, ZHOU Zhiqiang, YANG Hao, SHI Pengfei. Resilience assessment of flood disasters at the scale of urban streets—A case study of Yicheng Street, Yixing City, Jiangsu Province[J]. China Flood & Drought Management, 2025, 35(8): 1-11. DOI: 10.16867/j.issn.1673-9264.2024301
    Citation: XIAO Fenglin, BU Wangchao, TU Feixiang, DENG Weike, ZHOU Zhiqiang, YANG Hao, SHI Pengfei. Resilience assessment of flood disasters at the scale of urban streets—A case study of Yicheng Street, Yixing City, Jiangsu Province[J]. China Flood & Drought Management, 2025, 35(8): 1-11. DOI: 10.16867/j.issn.1673-9264.2024301

    城市街道尺度下洪涝灾害韧性评估——以江苏宜兴市宜城街道为例

    Resilience assessment of flood disasters at the scale of urban streets—A case study of Yicheng Street, Yixing City, Jiangsu Province

    • 摘要: 江苏宜兴市多发暴雨洪涝灾害,评估宜兴市各乡(镇、街道)的韧性水平,对推动宜兴市韧性城市建设和提升城市洪涝灾害的个性化、精细化应对能力具有重要意义。以宜兴市宜城街道为研究对象,基于城市建设规划、遥感影像、气象水文、自然地理和社会经济等多源数据,从洪涝灾害暴露度、敏感性、适应力和恢复力4个维度,构建了宜兴市宜城街道韧性评价指标体系,采用序关系分析法(G1法)和熵权法对评价指标进行组合赋权,利用地理信息系统(GIS)空间分析技术对宜城街道韧性进行评估。结果显示:宜城街道韧性水平整体处于中等状态,高韧性区域位于东氿北岸,中等偏上水平区域位于宜城街道中心城区,西北部临近市郊区域韧性水平较低,总体韧性水平由北向南、由西向东增加。研究中提出的街道尺度视角下采用多源数据因地制宜的韧性评估方法能科学高效地评估洪涝灾害下的城市韧性水平,研究成果可为城市区域精细化洪涝灾害管理及韧性城市规划建设提供参考。

       

      Abstract: Yixing City of Jiangsu Province is prone to rainstorm and flood disasters. Assessing the resilience level of each township (town, street) in Yixing City is of great significance for promoting the construction of a resilient city in Yixing City and improving the personalized and refined response capacity to urban flood disasters. Taking Yicheng Street in Yixing City as the research object, based on multi-source data such as urban construction planning, remote sensing images, meteorology and hydrology, natural geography, and socio-economic factors, a resilience evaluation index system for Yicheng Street in Yixing City was constructed from four dimensions: flood exposure, sensitivity, adaptability and resilience. The evaluation indicators were combined and weighted using the G1 method and entropy weight method, and the resilience of Yicheng Street was evaluated using geographic information system GIS spatial analysis technology. The results show that the overall resilience level of Yicheng Street is in a moderate state, with high resilience areas located on the north bank of Dongtai, medium to high resilience areas located in the central urban area of Yicheng Street, and lower resilience levels in the northwestern suburban areas. The overall resilience level increases from north to south and from west to east. The resilience assessment method proposed in the study, which adopts multi-source data and adapts to local conditions from the perspective of street scale, can scientifically and efficiently evaluate the resilience level of cities under flood disasters. The research results can provide reference for refined flood disaster management and resilient urban planning and construction in urban areas.

       

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