水动力学研究与进展B辑2024,Vol.36Issue(2) :331-339.DOI:10.1007/s42241-024-0016-8

Features and formulae of sediment incipient motion in vegetated flow environment

Yu-xuan Xu Wei-jie Wang Shi-bao Zhang Han-qing Zhao Xue-kai Chen Hai-ping Zhang
水动力学研究与进展B辑2024,Vol.36Issue(2) :331-339.DOI:10.1007/s42241-024-0016-8

Features and formulae of sediment incipient motion in vegetated flow environment

Yu-xuan Xu 1Wei-jie Wang 2Shi-bao Zhang 3Han-qing Zhao 4Xue-kai Chen 2Hai-ping Zhang2
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作者信息

  • 1. School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450045,China;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,China Institute of Water Resources and Hydropower Research,Beijing 100038,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. School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450045,China
  • 4. China Three Gorges Corporation,Wuhan 430010,China
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Abstract

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.

Key words

Vegetation flow/vegetation resistance coefficient/genetic algorithm/sediment initiation

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基金项目

Natural Science Foundation of Beijing(8232052)

National Natural Science Foundation of China(51809286)

Talent Program of China Institute of Water Resources and Hydropower Research(WE0199A052021)

出版年

2024
水动力学研究与进展B辑
中国船舶科学研究中心

水动力学研究与进展B辑

CSTPCDEI
影响因子:0.596
ISSN:1001-6058
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