Wei-Jie Wang

Dr. Wei-Jie Wang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2019 in Journal of Hydrodynamics
Verified
Journal Article
Closed access
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WHWen-Xin Huai
Wen-Xin Huai
JZJiao Zhang
Jiao Zhang
GKGabriel G. Katul
Gabriel G. Katul
YCYong-Guang Cheng
Yong-Guang Cheng
XTXue Tang
Xue Tang
WWWei-Jie Wang
Wei-Jie Wang

1 July 2014 in Advances in Water Resources
Verified
Journal Article
Closed access
Wenxin HuaiWenxin Huai
Wenxin Huai
WWWei-Jie Wang
Wei-Jie Wang
YHYang Hu
Yang Hu
YZYuhong Zeng
Yuhong Zeng
ZYZhonghua Yang
Zhonghua Yang

1 November 2019 in Journal of Hydrology
Verified
Journal Article
Closed access
WHWenxin Huai
Wenxin Huai
LYLiu Yang
Liu Yang
WWWei-Jie Wang
Wei-Jie Wang
Yakun GuoYakun Guo
Yakun Guo
TWTao Wang
Tao Wang
YCYong-Guang Cheng
Yong-Guang Cheng

1 June 2019 in Journal of Hydrology
Verified
Journal Article
Closed access
WHWen-Xin Huai
Wen-Xin Huai
JZJiao Zhang
Jiao Zhang
WWWei-Jie Wang
Wei-Jie Wang
GKGabriel G. Katul
Gabriel G. Katul

4 July 2013 in Journal of Hydraulic Research
Verified
Journal Article
Closed access
Wenxin HuaiWenxin Huai
Wenxin Huai
WWWei-Jie Wang
Wei-Jie Wang
YZYuhong Zeng
Yuhong Zeng
A two-layer model for predicting the vertical distribution of stream-wise velocity in open channel flow with submerged flexible vegetation is proposed. Using the predicted deflection height of the flexible vegetation determined via the large-deflection cantilever beam theory, the flow is vertically separated into a bottom vegetation layer and an upper free water layer, and corresponding momentum equations for each layer are formulated. In the bottom vegetation layer, the resistance caused by the deflected plants is calculated accounting for plant bending rather than adopting the existing resistance formula for erect rigid vegetation. For the upper free water layer, a new type of polynomial velocity distribution is suggested instead of the traditional logarithmic velocity distribution to obtain a zero velocity gradient at the water surface. To validate the proposed model, the published experimental data are employed.

7 December 2015 in Water Resources Research
Verified
Journal Article
Open access
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WWWei-Jie Wang
Wei-Jie Wang
Wenxin HuaiWenxin Huai
Wenxin Huai
STSally Thompson
Sally Thompson
GKGabriel G. Katul
Gabriel G. Katul
Surface flow redistribution on flat ground from crusted bare soil to vegetated patches following intense rainfall events elevates plant available water above that provided by rainfall. The significance of this surface water redistribution to sustaining vegetation in arid and semiarid regions is undisputed. What is disputed is the quantity and spatial distribution of the redistributed water. In ecohydrological models, such nonuniform flows are described using the Saint‐Venant equation (SVE) subject to a Manning roughness coefficient closure. To explore these assumptions in the most idealized setting, flume experiments were conducted using rigid cylinders representing rigid vegetation with varying density. Flow was induced along the streamwise x direction by adjusting the free water surface height H(x) between the upstream and downstream boundaries mimicking the nonuniformity encountered in nature. In natural settings, such H(x) variations arise due to contrasts in infiltration capacity and ponded depths during storms. The measured H(x) values in the flume were interpreted using the SVE augmented with progressively elaborate approximations to the roughness representation. The simplest approximation employs a friction factor derived from a drag coefficient (Cd) for isolated cylinders in a locally (but not globally) uniform flow and upscaled using the rod density that was varied across experiments. Comparison between measured and modeled H(x) suggested that such a “naive” approach overpredicts H(x). Blockage was then incorporated into the SVE model calculations but resulted in underestimation of H(x). Biases in modeled H(x) suggest that Cd must be varying in x beyond what a local or bulk Reynolds number predicts. Inferred Cd(x) from the flume experiments exhibited a near‐parabolic shape most peaked in the densest canopy cases. The outcome of such Cd(x) variations is then summarized in a bulk resistance formulation that may be beneficial to modeling runon‐runoff processes on shallow slopes using SVE.