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首页> 外文期刊>International Journal of Environmental Science and Technology >A performance comparison of CCHE2D model with empirical methods to study sediment and erosion in gravel-bed rivers
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A performance comparison of CCHE2D model with empirical methods to study sediment and erosion in gravel-bed rivers

机译:CCHE2D模型与实证方法研究砾石床河流泥沙腐蚀的绩效比较

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Depending on environmental conditions and hydrodynamic characteristics, erosion and sediment models always have higher marginal of errors. Thus, accurate and cost-effective models should be used for modeling erosion and sediment. Unlike empirical models, numerical models have more stability and less dependence on the variable parameters due to the uniformity of the conditions studied. Therefore, in this research a numerical CCHE2D (National Center for Computation Hydro-Science and Engineering 2D tool) model was used for erosion and sediment modeling of Beshar gravel-bed river (in Yasuj, Iran). Then, the results of the model were compared with several empirical formulas including Einstein, Vilkanov, Lane-Kalinske, Brooks, Englund and Bagnold based on statistical parameters. The results showed that CCHE2D and Einstein methods had the most efficiency in estimating suspended sediment load than other applied methods. Also, the best R-2 (0.97-0.99) was observed for the results of CCHE2D, Einstein and Bagnold methods. Moreover, the number of errors in the range of 0.5 < r < 2 for CCHE2D and Einstein's methods was more than other methods. The lowest root-mean-square error and mean absolute error (RMSE = 0.4-0.7, MAE = 0.4-0.5) were observed for these two models under different discharges, as well. Using CCHE2D model as an applied method for rivers with non-uniform sediment, non-equilibrium bed, unsteady flow and morphological changes is prioritized over other methods.
机译:根据环境条件和流体动力学特性,侵蚀和沉积物模型总始终具有更高的错误边缘。因此,准确且经济高效的模型应用于建模侵蚀和沉积物。与经验模型不同,由于所研究的条件的均匀性,数值模型具有更多稳定性和对可变参数的依赖性。因此,在本研究中,使用Beshar砾石床河(伊朗Yasuj,Iran)的侵蚀和沉积物建模的数控CCHE2D(国家电气科学和工程2D工程刀具)模型。然后,将模型的结果与若干经验公式进行比较,包括基于统计参数的若干经验公式,包括爱因斯坦,vilkanov,Lane-Kalinske,Brooks,Englund和Bagnold。结果表明,CCHE2D和Einstein方法在估计悬浮沉积物负荷比其他应用方法中具有最大效率。此外,为CCHE2D,Einstein和Bagnold方法的结果观察到最佳R-2(0.97-0.99)。此外,CCHE2D和Einstein方法的0.5

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