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Analytical model for predicting the longitudinal profiles of velocities in a channel with a model vegetation patch.

Authors :
Liu, Chao
Shan, Yuqi
Source :
Journal of Hydrology. Sep2019, Vol. 576, p561-574. 14p.
Publication Year :
2019

Abstract

• A model is proposed to predict the longitudinal profile of velocity inside vegetation patches. • The proposed analytical model was verified by twenty groups of velocity data. • The predicted velocity profiles agree well with the measured velocities. • Velocity profiles can evaluate the deposition of fine sediment inside vegetation patches. This paper proposes an analytical model for predicting the longitudinal profile of depth-averaged streamwise velocities in a channel with an emergent array of rigid cylinders. The governing equation of the analytical model was derived from the momentum equation and flow continuity equation. The longitudinal transect through a flume with a vegetation patch was divided into four regions based on two length scales of flow adjustment upstream of and inside the array, and analytical solutions were proposed for the four regions. Laboratory experiments demonstrated that the array length does not influence flow adjustments near the upstream edge of the array, so the model can predict the longitudinal profile of streamwise velocity for either short or long arrays. Twenty groups of velocity data from different sources were used to verify the proposed model. The predicted velocities agreed well with the measured velocities, indicating that the model is capable of predicting the longitudinal profiles of the velocity upstream of and inside a model patch. The predicted velocity profile can be further employed to estimate regions of enhanced or diminished deposition of fine sediment or organic matter inside model patches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221694
Volume :
576
Database :
Academic Search Index
Journal :
Journal of Hydrology
Publication Type :
Academic Journal
Accession number :
141607110
Full Text :
https://doi.org/10.1016/j.jhydrol.2019.06.076