最优尺度变换—层次分析法视角下城市内涝风险评估
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辽宁工程技术大学

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TV21;P33

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Urban Waterlogging Risk Assessment from the Perspective of the Categorical Regression-Analytic Hierarchy Process
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Liaoning Technical University

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    摘要:

    摘 要:在城市暴雨内涝频发的背景下,本文以辽宁省阜新市主城区为研究对象,利用无人机采集高精度正射影像和DEM,结合城市排水管网数据建立InfoWorks ICM的耦合水动力模型,对城市内涝进行模拟研究和精度验证。通过对城市内涝灾害系统的三个组成部分——致灾因子、孕灾环境和承灾体的分析,对其指标因子进行最优尺度变换(CATREG)和层次分析法分析(AHP),建立内涝风险评估模型。利用情景模拟结果和指标体系技术建立了城市内涝风险评估模型,并利用GIS空间分析技术绘制直观的风险评估图,多角度解释阜新市主城区内涝原因并提出建议,研究结果也可为其他城市内涝防治提供借鉴。

    Abstract:

    Abstract:the background of frequent occurrence of urban waterlogging due to heavy rainfall, this paper took the main urban area of Fuxin City, Liaoning Province, as the research object, and utilized a drone to collect high-precision orthophotos and DEM, and established a coupled hydrodynamic model of InfoWorks ICM by combining the data of the city's drainage network for simulation research and accuracy verification of urban waterlogging. By analyzing the three components of the urban waterlogging disaster system - disaster causing factors, disaster conceiving environment and disaster bearing body, the Categorical Regression (CATREG) and Analytic Hierarchy Process (AHP) were performed on their indicator factors to establish a waterlogging risk assessment model. The urban waterlogging risk assessment model was established using scenario simulation results and indicator system technology, and the intuitive risk assessment map was drawn using GIS spatial analysis technology. The causes of waterlogging in the main urban area of Fuxin City were explained from multiple perspectives and suggestions were provided, and the results of the study can also provide a reference for the prevention and control of waterlogging in other cities.

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  • 收稿日期:2023-10-03
  • 最后修改日期:2024-03-16
  • 录用日期:2024-03-22
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