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    北京市西部与北部山区暴雨洪水响应机制研究

    Study on the rainstorm and flood response mechanism in the western and northern mountainous areas of Beijing

    • 摘要: 流域的洪水响应是气候条件与下垫面特性共同作用的系统性产物。北京门头沟区清水河(西部)与密云区清水河(北部)在相似流域尺度下,分别在“23·7”与“25·7”极端暴雨中表现出显著差异化的洪水响应。构建垂向混合与地貌单位线(GIUH)耦合产汇流模型,结合数字高程模型、土壤水文特征、地貌、岩性及实测降雨径流资料,从下垫面条件、产汇流机制层面,研究两流域径流响应规律及差异。结果表明:两流域地形特征相近,但密云区清水河河网密度为门头沟区清水河的4.4倍,汇流路径集中;产流参数显示密云区清水河更易超渗产流,门头沟区下渗能力更强;GIUH单位线表明密云区清水河洪峰尖瘦、峰现早。研究揭示了河网结构、土层岩性、蓄水及下渗能力是流域暴雨洪水响应的主控因素,结果可为山区洪水预报提供参考。

       

      Abstract: The flood response of a watershed is a systematic product of the combined effects of climatic conditions and underlying surface characteristics. The Qingshuihe River in Mentougou District(west) and the Qingshuihe River in Miyun District(north) in Beijing showed significantly different flood responses in the "23.7" and "25.7" extreme rainstorm respectively at similar watershed scales. Construct a vertical mixing and geomorphic unit line(GIUH) coupled runoff generation and convergence model, combined with digital elevation models, soil hydrological characteristics, topography, lithology, and measured rainfall runoff data, to study the runoff response laws and differences between the two watersheds from the perspectives of underlying surface conditions and runoff generation and convergence mechanisms. The results show that the terrain features of the two watersheds are similar, but the density of the Qingshui River network in Miyun District is 4.4 times that of the Qingshui River in Mentougou District, and the convergence path is concentrated; The runoff parameters show that Qingshui River in Miyun District is more prone to over seepage and runoff, while Mentougou District has stronger infiltration capacity; The GIUH unit line indicates that the peak of the Qingshui River in Miyun District is sharp and thin, and the peak appears early. The study reveals that river network structure, soil lithology, water storage and infiltration capacity are the main control factors of rainstorm flood response in the basin, and the results can provide a reference for mountain flood forecasting.

       

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