Sediment diffusion coefficient model for predicting the vertical distribution of suspended sediment concentration in uniform open-channel flows

Terfous, Abdelali; Sabat, Mira; Ghenaim, Abdellah

doi:10.1007/s12517-020-06171-3

Cited by 1 publication

(2 citation statements)

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“…In terms of the accuracy in predicting the vertical profile of SSC, Model IK is superior to Models R and KR according to the comparison results presented by Terfous et al. (2020).…”

Section: Introductionmentioning

confidence: 65%

“…3 of 24 surface with a parabolic distribution (Rouse, 1937); (b) Model IK presents the vertical distribution form as 𝐴𝐴 𝐴𝐴𝑠𝑠 increasing upward from z = 0, maximizing at a certain height and decreasing to zero toward the water surface (Itakura & Kishi, 1980); (c) Model KR illustrates the vertical profile as 𝐴𝐴 𝐴𝐴𝑠𝑠 exhibiting a parabolic increasing trend from z = 0 to z = 0.5H, with 𝐴𝐴 𝐴𝐴𝑠𝑠 maximizing and retaining this value from z = 0.5H to the water surface (Kerssens et al, 1979;Rijn, 1984). In terms of the accuracy in predicting the vertical profile of SSC, Model IK is superior to Models R and KR according to the comparison results presented by Terfous et al (2020).…”

Section: Table 1 Models For the Vertical Profile Of The Sediment Diff...mentioning

confidence: 88%

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Study of Suspended Sediment Diffusion Coefficients in Submerged Vegetation Flow

Yang

Guo

2022

Water Resources Research

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The traditional profile model of the sediment diffusion coefficient (εs ${\varepsilon }_{s}$), which is parabolic along the water depth, cannot precisely predict the vertical distribution of εs ${\varepsilon }_{s}$ in vegetated flow. Therefore, in this study, a series of flume experiments were conducted to clarify the influence of submerged vegetation on the diffusion characteristics of suspended load particles. First, the submerged canopy increases the efficiency of momentum exchange but restrains the vertical diffusion of suspended sediment, indicating that the presence of submerged plants promotes the siltation of solid particles. Second, the depth‐averaged sediment diffusion coefficient (εstrue¯ $\bar{{\varepsilon }_{s}}$) monotonically decreases with increasing relative water depth, while the depth‐averaged momentum exchange coefficient (εmtrue¯ $\bar{{\varepsilon }_{m}}$) presents two opposite trends, likely owing to the dominant turbulence event changing from ejections to sweeps and the different variation tendencies of the velocity gradient and Reynolds shear stress with increasing vegetation density. Compared with the ratio (β $\beta $) of εs ${\varepsilon }_{s}$ to the momentum exchange coefficient in nonvegetated flow, β $\beta $ in submerged canopy flow is significantly less than 1, which means that the solid particles diffuse less readily than liquid particles because of the stem‐scale vortices generated by the vegetation. In addition, vertical profile models of εs ${\varepsilon }_{s}$ and suspended sediment concentration were proposed and validated by experimental data. The models exhibit a high accuracy, correlation and applicability and can provide critical information to promote research on riverbed deformation and nutrient dynamics in vegetated rivers, wetlands and estuaries.

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“…In terms of the accuracy in predicting the vertical profile of SSC, Model IK is superior to Models R and KR according to the comparison results presented by Terfous et al. (2020).…”

Section: Introductionmentioning

confidence: 65%