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Zhonghua Yang

Researcher at Wuhan University

Publications -  49
Citations -  759

Zhonghua Yang is an academic researcher from Wuhan University. The author has contributed to research in topics: Open-channel flow & Turbulence. The author has an hindex of 10, co-authored 42 publications receiving 423 citations.

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Three-layer model for vertical velocity distribution in open channel flow with submerged rigid vegetation

TL;DR: In this paper, a three-layer model is proposed to predict the vertical velocity distribution in an open channel flow with submerged vegetation, and the results show that the velocity profile consists of three hydrodynamic regimes (i.e., the upper non-vegetated layer, the outer and bottom layer within vegetation); accordingly different methods had been adopted to describe the vertical velocities distribution.
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Flow dynamics and sediment transport in vegetated rivers: A review

TL;DR: A review of methods, general laws, qualitative cognition, and quantitative models regarding the interplay between aquatic plants, flow dynamics, and sediment transport in vegetated rivers is in order as mentioned in this paper.
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Analytical model of the mean velocity distribution in an open channel with double-layered rigid vegetation

TL;DR: In this article, an analytical model for predicting the vertical distribution of mean streamwise velocity in an open channel with double-layered rigid vegetation is proposed, and good agreement between the analytical predictions and experimental data demonstrated the validity of the model.
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Two dimensional analytical solution for a partially vegetated compound channel flow

TL;DR: In this article, the authors applied the theory of an eddy viscosity model to the study of the flow in a compound channel which is partially vegetated, and the results can be used to predict the transverse distribution of bed shear stress, which has an important effect on the transportation of sediment.
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A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows

TL;DR: In this article, genetic programming was used to search for a robust relationship between the bulk drag coefficient (Cd) for arrays of rigid circular cylinders representing emergent vegetation with blockage ratio (ψ), vegetation density (λ) and pore Reynolds number (Rep) based on published data.