2019
DOI: 10.1016/j.jhydrol.2019.124101
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Predicting the vertical low suspended sediment concentration in vegetated flow using a random displacement model

Abstract: Highlights:1. The validity of random displacement model (RDM) to simulate suspended sediment concentration is verified.2. A concept of integrated sediment diffusion coefficient, which is equal to a coefficient  multiplied by turbulent diffusion coefficient, is introduced to study the dispersion and diffusion in vegetated flow.3. Results show that  in flow with submerged canopy is larger than that in emergent canopy flow.

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Cited by 53 publications
(43 citation statements)
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“…In applications, error in the estimation of u * , k, β, ω s , h p , or d will lead to an error in suspension number, i.e., the exponent of the double-parameter modified Rouse formula Equation (24), and thus lead to an error in the estimation of the profile of suspended sediment concentration.…”
Section: Discussionmentioning
confidence: 99%
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“…In applications, error in the estimation of u * , k, β, ω s , h p , or d will lead to an error in suspension number, i.e., the exponent of the double-parameter modified Rouse formula Equation (24), and thus lead to an error in the estimation of the profile of suspended sediment concentration.…”
Section: Discussionmentioning
confidence: 99%
“…Equation (24) indicates that the concentration profile of fine suspended sediments is independent of the roughness height z 0 , neither of the constant C in the modified semi-logarithmic law of flow velocity expressed by Equation (5). Equation (24) also indicates that over dense plants, an equilibrium state of fine suspended sediments under the dynamic balance between turbulent diffusion and gravitational settling can be obtained. (Figure 8b).…”
Section: Equilibrium Equation Between Turbulent Diffusion and Gravitamentioning
confidence: 99%
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“…For example, flow structure changes caused by plants in channel flows significantly affect the hydrodynamics and thus the transport of contaminants (Z. B. Chen et al, 2013; Huai, Yang, et al, 2019; Nezu & Sanjou, 2009; Tanino & Nepf, 2008a; Wang & Chen, 2015, 2017; Wang & Zeng, 2019). It is therefore meaningful to determine the physical processes of the complex interactions between flow and vegetation.…”
Section: Introductionmentioning
confidence: 99%
“…where Δu represents the velocity difference between the wake region of vegetation and overflow, which is approximately equal to 0.8u H − u w (where u H is the flow velocity at the water surface and can be expressed as the logarithmical profile (Huai et al, 2019) and…”
Section: Channels With the Submerged Vegetationmentioning
confidence: 99%