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      基于HEC-RAS的典型山丘区洪水淹没分析

      Flood inundation analysis of typical hilly areas based on HEC-RAS

      • 摘要: 山丘区因地形复杂、居民点分散且山洪频发, 防洪减灾措施实施难度大, 亟需寻找适用模型开展洪水风险评估, 为防洪抢险工作提供支撑。以湖南省长沙县、汝城县为例, 通过提取研究区域地形数据和历史洪水资料, 利用GIS技术处理地形数据, 使用HEC-RAS软件建立了二维洪水淹没分析模型, 模拟了研究区域内洪水重现期20 a和50 a的淹没变化, 分析了最大淹没范围、淹没水深和流速。结果表明:长沙县、汝城县流速变化趋势同地势变化较为一致, 最大淹没水深分别相差1.8 m和1.2 m, 最大淹没流速分别相差1.11 m/s和1.36 m/s。根据淹没水深划分风险等级, 分析识别了受灾严重区域主要分布在长沙县南部的捞刀河、浏阳河流域, 以及汝城县中部的浙江河流域和东北部的沤江流域。HEC-RAS二维模型适用于模拟山丘区洪水淹没, 并能够捕捉到洪水在这一地形条件下的传播特性和时空分布特征。

         

        Abstract: The hilly regions, characterized by complex terrain, scattered settlements, and frequent flash floods, present significant challenges in implementing flood prevention and disaster mitigation measures. There is an urgent need to identify suitable models for conducting flood risk assessments to support flood prevention and emergency response efforts. By extracting topographical data and historical flood records from Changsha County and Rucheng County in Hunan Province, topographical data was processed by using GIS technology, and a two-dimensional flood inundation analysis model was established using HEC-RAS software. The model simulated inundation changes for flood recurrence periods of 20 a and 50 a within the study area and analyzed the maximum inundation extent, inundation water depth, and flow velocity. The results indicated that the trends in flow velocity changes in Changsha County and Rucheng County were consistent with topographical changes. The maximum flood water depths differed by 1.8 m and 1.2 m, respectively, and the maximum flood flow velocities differed by 1.11 m/s and 1.36 m/s, respectively. Based on flood water depth classifications, the analysis identified the severely flood-prone areas primarily distributed in the Laodao River, Liuyang River and other basins in the southern of Changsha County, as well as Zhejiang River basin in the central part and Oujiang River basin in the northeastern of Rucheng County. The HEC-RAS two-dimensional model is suitable for simulating flood inundation in hilly areas and can capture the propagation characteristics and spatio-temporal distribution features of floods under such terrain conditions.

         

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