Effects of Bed Load Movement on Mean Flow Characteristics in Mobile Gravel Beds

Wang, Xianye; Yang, Qingyuan; Lu, Wen-Hsiang; Wang, Xiekang

doi:10.1007/s11269-011-9838-6

Cited by 20 publications

(15 citation statements)

References 43 publications

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“…Ferro () estimated the coefficients a , b , c , and e of Equation using 270 flume measurements by Song et al (), Gao and Abrahams (), Recking et al (), Wang et al (), and the 104 field data series by Ferro and Porto (). The following equation for estimating the Γ v function was obtained:

Γ_{v} = 0.2871 \frac{F^{1.2552}}{s^{0.6052} θ^{0.0195}} .

…”

Section: The Theoretical Flow Resistance Equationmentioning

confidence: 99%

“…Previous studies on bed-load sediment transport (Baiamonte & Ferro, 1997;Campbell et al, 2005;Chow, 1959;Ferro, 2018a;Gao & Abrahams, 2004;Recking, Frey, Parquier, Belleudy, & Champagne, 2008;Song, Chiew, & Chin, 1998;Vanoni & Nomicos, 1960;Wang, Yang, Lu, & Wang, 2011) established that flow resistance increases when sediments are added to a clear water flow. In particular, flow resistance increases with the added sediment quantity until the actual sediment rate G matches with the flow transport capacity T c (Recking et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…estimated the coefficients a, b, c, and e of Equation (11) using 270 flume measurements bySong et al (1998),Gao and Abrahams (2004),Recking et al (2008),Wang et al (2011), and the 104 field data series byFerro and Porto (2018b). The following equation for estimating the Γ v function was obtained: et al (2018) carried out 35 experimental runs to investigate the effect of flow discharge and slope steepness on sediment transport capacity T c .…”

mentioning

confidence: 99%

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Rill flow resistance law under equilibrium bed‐load transport conditions

Stefano

Nicosia

Pampalone

et al. 2019

Hydrological Processes

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In this paper, a recently deduced flow resistance equation for open channel flow was tested under equilibrium bed‐load transport conditions in a rill. First, the flow resistance equation was deduced applying dimensional analysis and the incomplete self‐similarity condition for the flow velocity distribution. Then, the following steps were carried out for developing the analysis: (a) a relationship (Equation ) between the Γ function of the velocity profile, the rill slope, and the Froude number was calibrated by the available measurements by Jiang et al.; (b) a relationship (Equation ) between the Γ function, the rill slope, the Shields number, and the Froude number was calibrated by the same measurements; and (c) the Darcy–Weisbach friction factor values measured by Jiang et al. were compared with those calculated by the rill flow resistance equation with Γ estimated by Equations and . This last comparison demonstrated that the rill flow resistance equation, in which slope and Shields number, representative of sediment transport effects, are introduced, is characterized by the lowest values of the estimate errors.

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Γ_{v} = 0.2871 \frac{F^{1.2552}}{s^{0.6052} θ^{0.0195}} .

…”

Section: The Theoretical Flow Resistance Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Rill flow resistance law under equilibrium bed‐load transport conditions

Stefano

Nicosia

Pampalone

et al. 2019

Hydrological Processes

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“…Wang [7] investigates the flow characteristics of mobile gravel bed-load motion using an experimental method that involved an image capturing technique in the mobile gravel bed. The captured images were used to investigate velocity profiles, analyse bed-form movement, and explore the equation for flow resistance.…”

Section: Methodsmentioning

confidence: 99%

“…Sediment particles transported by flow is a common phenomenon in natural rivers that affects the geometry of the river channel through scour and deposition [7]. The first four panels in Fig.…”

Section: Bed Scour Profilesmentioning

confidence: 99%

Hydrodynamic perspectives of soil scour in fluvial environment

Salim¹,

Jayaratne²

2013

Open Engineering

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Abstract:The major concern for many hydraulic structures is the effect of scour at the toe, when the racing floodwater scours away the bed just downstream of the piers. Therefore, understanding the soil-hydrodynamic interaction needs to be investigated. In this study, a series of 2D laboratory tests have been carried out to study the likelihood of soil scour due to the soil-hydrodynamic interaction and influence of sediment properties. Characteristics such as sediment deposition patterns, longitudinal/lateral spreading length/area, and bed scour profiles for three sediment diameters (i.e. 0.26, 0.30 and 2.40 mm) under dry and wet soil conditions are studied intensively. Experimental results revealed that soil of identical diameters under wet and dry conditions caused significant changes in soil scour rate and deposition patterns. Transport rates in dry condition were much slower than wet condition. It was observed that, for the same flow condition, different soils gave different long term equilibrium deposition patterns due to the grain size distribution and particle shape. Eddies were generated behind the soil samples which resulted in forming a series of 'crescent' zones. Findings of this study could offer a qualitative outline of the effects of various parameters to demonstrate a better representation of estimating scour rate in fluvial condition. Keywords

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Comparing flow resistance law for fixed and mobile bed rills

Stefano

Nicosia

Palmeri

et al. 2019

Hydrological Processes

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Rills caused by run-off concentration on erodible hillslopes have very irregular profiles and cross-section shapes. Rill erosion directly depends on the hydraulics of flow in the rills, which may differ greatly from hydraulics of flow in larger and regular channels. In this paper, a recently theoretically deduced rill flow resistance equation, based on a power-velocity profile, was tested experimentally on plots of varying slopes (ranging from 9% to 26%) in which mobile and fixed bed rills were incised. Initially, measurements of flow velocity, water depth, cross-section area, wetted perimeter, and bed slope, carried out in 320 reaches of mobile bed rills and in 165 reaches of fixed rills, were used for calibrating the theoretical flow resistance equation. Then the relationship between the velocity profile parameter Γ, the channel slope, and the flow Froude number was separately calibrated for the mobile bed rills and for the fixed ones. The measurements carried out in both conditions (fixed and mobile bed rills) confirmed that the Darcy-Weisbach friction factor can be accurately estimated using the proposed theoretical approach. For mobile bed rills, the data were supportive of the slope independence hypothesis of velocity, due to the feedback mechanism, stated by Govers. The feedback mechanism was able to produce quasicritical flow conditions. For fixed bed rills, obtained by fixing the rill channel, by a glue, at the end of the experimental run with a mobile bed rill, the slope independence of the flow velocity measurements was also detected. Therefore, an experimental run carried out by a rill bed fixed after modelling flow action is useful to detect the feedback mechanism. Finally, the analysis showed that, for the investigated conditions, the effect of sediment transport on the flow resistance law can be considered negligible respect to the grain roughness effect. K E Y W O R D Sfixed bed, flow resistance, mobile bed, plot measurements, rill flows, rill hydraulics, soil erosion

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Effects of Bed Load Movement on Mean Flow Characteristics in Mobile Gravel Beds

Cited by 20 publications

References 43 publications

Rill flow resistance law under equilibrium bed‐load transport conditions

Rill flow resistance law under equilibrium bed‐load transport conditions

Hydrodynamic perspectives of soil scour in fluvial environment

Comparing flow resistance law for fixed and mobile bed rills

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