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    黄土高原小流域次暴雨洪峰流量影响因素分析

    Factors affecting storm peak flow in small watersheds in the Loess Plateau

    • 摘要: 利用黄土高原65 个小流域2441 场次降雨数据,分析黄土高原小流域次暴雨洪峰流量与降雨、地形和径流参数的相关关系,探讨不同副区、不同流域面积尺度和不同降雨月份对上述相关性规律的影响。结果表明:1)黄土高原小流域次暴雨洪峰流量与雨量雨强参数(降雨量与降雨强度的乘积)、流域面积、主沟道长度、流域宽度、主沟道比降以及径流量、径流深和径流系数等参数存在着较好的相关关系;2)各参数与洪峰流量的相关性受各副区自然地理条件和流域面积尺度的影响显著;3)为准确预测黄土高原小流域次暴雨洪峰流量,可以将雨量雨强参数、流域面积和径流量等参数作为参考变量,在各副区和各流域面积尺度分别建立洪峰流量经验公式,构建黄土高原小流域次暴雨洪峰流量经验模型,为小流域水土保持工程措施的设计奠定基础。

       

      Abstract: Predicting storm peak flow in small watersheds is critical to model soil erosion in the LoessPlateau. In this study, we simulated the relationships between storm peak discharge and the parameters which represent precipitation, watershed geometry, and runoff so as to sort out the dominant factorsaffecting storm peak flow in the Loess Plateau. We collected precipitation and runoff data from 65 small watersheds in the Loess Plateau and built a database which included 2 441 storms. The results showed that peak flow was positively correlated with the product of precipitation volume and precipitation intensity, watershed area, watershed length, watershed width, runoff volume, runoff depth, and runoff coefficient, but negatively correlated with the slope of the main channel. The impacts of these parameters of precipitation, watershed geometry and runoff on peak flow were divergent at different subzones in this plateau as well as at different watershed scales. Our results are helpful for the modeling of the storm peak flow with empirical equations in the Loess Plateau.

       

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