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Analytical solutions of velocity profile in flow through submerged vegetation with variable frontal width

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TLDR
In this article, a new shape function is proposed for vegetation with variable frontal width in the vertical direction, where the frontal width exhibits a gradual increase in vertical direction from bottom up in the vegetation.
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This article is published in Journal of Hydrology.The article was published on 2019-11-01 and is currently open access. It has received 24 citations till now. The article focuses on the topics: Flow velocity & Vegetation (pathology).

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Citations
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Hydraulic resistance of submerged rigid vegetation derived from first order closure models

Davide Poggi, +1 more
TL;DR: In this paper, the Darcy-Weisbach friction factor (f) was shown to vary with three canonical length scales that can be either measured or possibly inferred from remote sensing products Hw, hc, and the adjustment length scale Lc = (Cda)−1, where Cd is the drag coefficient.
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Turbulence, Coherent Structures, Dynamical Systems and Symmetry, 2nd edn., by P. Holmes: Scope: monograph. Level: researchers

TL;DR: Turbulence, Coherent Structures, Dynamical Systems and Symmetry, 2nd edn., by P. Holmes, J.L. Lumley, G. Berkooz, and C.W. Rowley, New York, Cambridge University Press, 2012, 402 pp., US $90.00 (ha...
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Impact of an emergent model vegetation patch on flow adjustment and velocity

TL;DR: In this paper, the impact of a vegetation patch on flow adjustment and velocity was investigated. But the authors focused on the interior adjustment distance (Ld) inside a model patch and did not consider the effect of vegetation patches on the external adjustment distance.
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Modeling the longitudinal profiles of streamwise velocity in an open channel with a model patch of vegetation

TL;DR: In this paper, a model for predicting the longitudinal profiles of streamwise velocities in an open channel with a model patch of vegetation was proposed, where the governing equation was derived from the momentum equation and flow continuity equation.
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Impact of an emergent model vegetation patch on flow adjustment and velocity

- 01 Apr 2022 - 
TL;DR: In this paper , a valid equation for the interior adjustment distance (L d ) inside a model patch was developed for a wide range of velocities and flow depths, and the minimum distance inside a patch beyond which the resuspension of fine sediment is suppressed (L min ) was found to be related to the position at which the local velocity decreases to the threshold for generating stem-scale turbulence.
References
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Journal ArticleDOI

Drag, turbulence, and diffusion in flow through emergent vegetation

TL;DR: In this article, a model is developed to describe the drag, turbulence and diffusion for flow through emergent vegetation, which for the first time captures the relevant underlying physics, and covers the natural range of vegetation density and stem Reynolds' numbers.
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Flow structure in depth-limited, vegetated flow

TL;DR: In this paper, the transition between submerged and emergent regimes is described based on three aspects of canopy flow: mean momentum, turbulence, and exchange dynamics, and the observations suggest that flow within an aquatic canopy may be divided into two regions.
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Flow and Transport in Regions with Aquatic Vegetation

TL;DR: In this paper, the mean and turbulent flow and mass transport in the presence of aquatic vegetation is described. But the authors do not consider the effect of canopy-scale vortices on mass transport.
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The effect of vegetation density on canopy sub-layer turbulence

TL;DR: In this paper, a phenomenological model that describes the structure of turbulence within the canopy sublayer (CSL) is developed, which decomposes the space within the CSL intothree distinct zones: the deep zone is dominated by vortices connected with vonKarman vortex streets, butperiodically interrupted by strong sweep events whose features are influenced by canopy density.
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Mixing layers and coherent structures in vegetated aquatic flows

TL;DR: In this article, the authors demonstrate that the flow structure within and just above an unconfined canopy more strongly resembles a mixing layer than a boundary layer, and demonstrate the applicability of the mixing layer analogy to aquatic systems.
Related Papers (5)
Frequently Asked Questions (6)
Q1. What are the contributions in this paper?

Different from an19 alytical models of velocity distribution in literature, which is mainly suitable 20 for vegetation with uniform frontal width, this paper establishes new analyti21 cal solutions of the velocity profile for vegetation such as shrub and sedge that 22 have a variable frontal width in the vertical direction. 

Although empirical expressions for determining parameters such as drag456 coefficient Cd, turbulence length scale for vegetation layer cpl, and surface layer457 kn were proposed for a number of limited scenarios, further investigation and458more experiments are needed in considering different vegetation types and flow459 conditions. 

Cd is a key factor for quantifying the resistance to flow (Nepf363 and Ghisalberti, 2008; Wang et al., 2018a; Baptist et al., 2007). 

449 (3) Because the shape of vegetation is different from the simplified vegetation450 models using cylinders or single strips, the former empirical formulas of the451 drag coefficient and the turbulence length scale were not suitable for the width-452 varying vegetation here. 

The traditional logarithmic formula (equation 45) describes the flow profile413 of the surface layer with two parameters: zero-plane displacement d and hy-414 drodynamic roughness height z0. 

Many377 experiments show a monotonic decline in Cd with increasing vegetation-related378 Reynolds number (Rev) for canopies composed of cylinders (Ishikawa et al.,379 2000; James et al., 2004; Tanino and Nepf, 2008; Liu et al., 2008; Ferreira et al.,380 2009; Kothyari et al., 2009; Stoesser et al., 2010), which can be expressed as381 (Wang et al., 2019)382Cd,wang = 0.819 + 58.5√π(1−φ) 4φ Red. (56)Due to the variation of Dz in the vertical direction, there is a need to calcu-383 late the averaged width Dave when adopting these formulas (equations 53 and38456).