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作 者:Yu-xuan Xu Wei-jie Wang Shi-bao Zhang Han-qing Zhao Xue-kai Chen Hai-ping Zhang
机构地区:[1]School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou,450045,China [2]State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,China Institute of Water Resources and Hydropower Research,Beijing,100038,China [3]China Three Gorges Corporation,Wuhan,430010,China
出 处:《Journal of Hydrodynamics》2024年第2期331-339,共9页水动力学研究与进展B辑(英文版)
基 金:Project supported by the Natural Science Foundation of Beijing (Grant No.8232052);the National Natural Science Foundation of China (Grant No.51809286).
摘 要:Aquatic vegetation is a vital component of natural river ecosystems,playing a crucial role in maintaining ecological balance,providing habitat and improving water quality.However,the presence of vegetation results in increased resistance in vegetated channels compared with non-vegetated channels,rendering traditional sediment movement predictions inadequate for the latter.Consequently,the concept of a vegetation influence factor,denoted by CDah,has been proposed by previous researchers to represent the effect of vegetation on sediment movement in watercourses.In this study,we focus on exploring the vegetation resistance coefficient(CD)among the vegetation influence factors,evaluating two different calculation methods for vegetation resistance coefficient,and presenting two expressions through genetic algorithm analysis to predict the incipient flow velocity of sediment in vegetated watercourses.The predicted values from the new formulae show excellent agreement with measured data,highlighting the high accuracy of the proposed methods in predicting the incipient flow velocity of sediment.Our results provide a solid theoretical basis for understanding the influence of aquatic vegetation on sediment particle movement.
关 键 词:Vegetation flow vegetation resistance coefficient genetic algorithm sediment initiation
分 类 号:TV131.2[水利工程—水力学及河流动力学]
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