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Numerical simulation of hydrodynamic characteristics and bedload transport in cross sections of two gravel-bed rivers based on one-dimensional lateral distribution method

机译:基于一维横向分布法的两个砾石河河横截面流体动力特性及床载运输的数值模拟

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摘要

Accurate evaluation and prediction of bedload transport are crucial in studies of fluvial hydrodynamic characteristics and river morphology.This paper presents a one-dimensional numerical model based on the one-dimensional lateral distribution method(1D-LDM)and six classic bedload transport formulae that can be used to simulate hydrodynamic characteristics and bedload transport discharge in cross sections.Two gravel-bed rivers,i.e.the Danube River located approximately 70 km downstream from Bratislava in Slovakia and the Tolt en River in south of Chile are used as examples.In the 1D-LDM,gravity,bed shear stress,turbulent diffusion,and secondary flow are included to allow for accurate predictions of flow velocity and consequently bed shear stress in the cross sections.Six classic formulae were applied to evaluate the non-dimensional bedload transport rate,and the bedload transport discharge through a river cross section is obtained by integrating the bedload transport rate over the width of the cross section.The results show that the root mean square error(RMSE)and mean absolute error(MAE)of velocity and water discharge were less than 8%of the observed magnitude,while the correlation coefficient between model predictions and observations was close to unity.The formulae proposed by Ashida and Michiue(1972),in which particle collision with the bed is taken into account,and by Camenen and Larson(2005),which allows for yielding a non-zero bedload transport rate even when the bed shear stress is smaller than the critical bed shear stress value,appeared to be more appropriate for predicting the observed bedload transport rate in the studied cross sections of two gravel-bed rivers.If non-uniform sediment mixtures were considered,the bedload transport discharge through a cross-section could change considerably by up to 22.5%of the observed magnitude.The relations proposed by Ashida and Michiue(1972)and Egiazaroff(1965)for parameterizing the hiding factor yielded more realistic model predictions in comparison with observations for the measured data set collected for the Tolt en River,while the one proposed by Wilcock and Crowe(2003)performs the best for the data set measured for the Danube River.

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  • 来源
    《国际泥沙研究(英文版)》 |2020年第2期|203-216|共14页
  • 作者

    Chien Pham Van; Vivien Chua;

  • 作者单位

    Department of River Engineering and Disaster Management Faculty of Hydrology and Water Resources Thuyloi University 175 Tay Son Dong Da Hanoi Viet Nam;

    Unité de Modélisation Mathématiques et Informatique des Systèmes Complexes (UMMISCO) JEAI WARM IRD Sorbonne Université F-93143 Bondy France;

    Department of Civil and Environmental Engineering Faculty of Engineering National University of Singapore Singapore;

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  • 入库时间 2024-03-13 16:32:12
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