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New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph

机译:计算地貌瞬时单位水位图中动态因子流速的新方法

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摘要

The determination of characteristic flow velocity is a hydrodynamic problem needs to be solved in the application of geomorphologic instantaneous unit hydrograph (GIUH) for runoff simulation in areas with no or limited data. In this study, 120 watersheds are collected to construct a regression model; 85 of these basins are used for regression analysis, and the 35 remaining basins are utilized to verify the feasibility of the constructed model. Random forest algorithm is applied to screen out important geomorphologic factors from the 16 extracted factors that may affect flow velocity. Multivariate regression is used to establish the numerical relationship between velocity and the selected factors. Sensitivity analysis of each adopted factor in the constructed model is conducted using the LH-OAT method. The rationality and feasibility of the regression model are validated by comparing the flow velocity calculation with a previous approach, which is also calculated based on geomorphological parameters. Subsequently, the runoff simulation based on the GIUH model is evaluated using the proposed technique. Results demonstrate that the proposed formula possesses high fitting accuracy and can be easily used to calculate flow velocity and generate GIUH.
机译:确定特征流速是在没有数据或数据有限的地区应用地貌瞬时单位水位图(GIUH)进行径流模拟时需要解决的水动力问题。在这项研究中,收集了120个流域以构建回归模型。这些盆地中有85个用于回归分析,其余35个盆地用于验证所构建模型的可行性。应用随机森林算法从可能影响流速的16个提取因素中筛选出重要的地貌因素。多元回归用于建立速度与所选因子之间的数值关系。使用LH-OAT方法对构建模型中每个采用的因素进行敏感性分析。通过将流速计算与先前的方法进行比较,验证了回归模型的合理性和可行性,该方法也是基于地貌参数进行计算的。随后,使用所提出的技术评估了基于GIUH模型的径流模拟。结果表明,该公式具有较高的拟合精度,可以很容易地用于计算流速和生成GIUH。

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