Development of an empirical model for calculating sediment-transport capacity in shallow overland flows: Model calibration

Guy, B. T.; Dickenson, W. Trevor; Sohrabi, Teymour; Rudra, R. P.

doi:10.1016/j.biosystemseng.2009.02.013

Cited by 17 publications

(7 citation statements)

References 12 publications

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“…Over the last few decades, several studies have analyzed the effect of different hydraulic variables on the sediment transport capacity without vegetation cover, such as unit flow discharge, slope gradient, flow velocity and shear stress, stream power, and unit stream power (Ali et al, 2012; Everaert, 1991; Govers and Rauws, 1986; Guy et al, 1990, 2009; Li et al, 2020; Wu et al, 2018; Zhang et al, 2009). However, since the Grain‐to‐Green Programme was implemented on the Loess Plateau and other regions of China to alleviate land degradation, the level of vegetation cover has increased noticeably, and as a result, the surface roughness, hydraulic characteristics, and soil erosion processes have changed.…”

Section: Discussionmentioning

confidence: 99%

“…The hydraulic variables (slope, flow discharge, flow depth, and velocity) are easier to measure than the sediment transport capacity. Therefore, in erosion research predictive equations have been developed using slope, flow discharge, flow depth, and velocity to estimate the sediment transport capacity (Abrahams, Li, Krishnan, & Atkinson, 2001; Ali, Sterk, Seeger, Boersema, & Peters, 2012; Govers, 1990; Guy, Dickenson, Sohrabi, & Rudra, 2009; Wu et al, 2018). Among hydraulic variables, the flow discharge and slope gradient are usually set for each experiment, and flow velocity and depth are directly measured (Abrahams et al, 2001; Ali et al, 2012; Wu et al, 2018; Zhang, Liu, Han, & Zhang, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Predicting the sediment transport capacity from flow condition and particle size in the presence of vegetation cover

et al. 2020

Land Degrad Dev

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The sediment transport capacity plays a pivotal role in erosion research, and is usually predicted using hydraulic variables. The transport capacity and hydraulic variables are affected by vegetation cover. Our understanding of the effect of vegetation cover, including the size, density, and arrangement of vegetation stems, on the relationship between the sediment transport capacity and hydraulic variables were rather limited. The objectives of this study were to investigate the effect vegetation stem cover on the relationship between hydraulic variables and the sediment transport capacity and to derive an equation for predicting the sediment transport capacity in the presence of vegetation cover. Five data sets from 288 flume experiments with a wide range of discharge (0.25–2 × 10−3 m3 s−1), slope (8.8–42.3%), median sediment diameter (0.11–1.16 × 10−3 m), stem cover (0–30%), stem diameter (2–36 mm), and stem arrangement (bead, tessellation, zigzag, random, and banding) were compiled for this study. Extensive regression analysis has shown that the sediment transport capacity could be expressed as a power function of flow velocity, shear stress, stream power, or unit stream power. Predictors of the sediment transport capacity were ranked from the unit stream power as the strongest, followed by the stream power, flow velocity, and the shear stress. Vegetation stem cover had no apparent and direct effect on the relationship between hydraulic variables and the sediment transport capacity so long as the unit stream power or stream power was used as its predictor. Vegetation cover became a significant factor only when the shear stress was used to predict the sediment transport capacity. Finally, a new equation involving the slope gradient, flow velocity, and median sediment diameter in a nondimensional form was shown to be a superior predictor of the sediment transport capacity with the Nash–Sutcliffe coefficient of efficiency of 0.92. The product of slope and flow velocity, that is, the unit stream power, captures the effect of vegetation stem cover and surface roughness and was shown to be an effective predictor of the transport capacity in the presence of vegetation cover.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting the sediment transport capacity from flow condition and particle size in the presence of vegetation cover

et al. 2020

Land Degrad Dev

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“…Transport capacity coefficients are empirical (Dou, 1974;Ahmandi et al, 2006;Yan et al, 2008;Guy et al, 2009;Madej et al, 2009), and the coefficients were adjusted as part of the calibration process. The maximum supply of the SFGL was estimated by assuming that the neutrally buoyant mixture has a bulk density of 1000 kg/m 3 and that the SFGL reaches a maximum depth of 5 mm Droppo and Amos, 2001).…”

Section: Model Specificationmentioning

confidence: 99%

The role of the surface fine-grained laminae in low-gradient streams: A model approach

Russo

Fox

2012

Geomorphology

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“…Most of the transport approaches developed for overland flow conditions employ simple regressions between observed transport rates and hydraulic predictors for different sediment mixtures (Huang, 1995;Nearing et al, 1997;Ferro, 1998;Jayawardena and Bhuiyan, 1999;Tayfur, 2002;Zhang et al, 2009a;Everaert, 1991). More complex approaches were developed for example by Govers (1992), Guy et al (2009a, b), Abrahams et al (2001), Ali et al (2013) or Li et al (2011). All these approaches show a good correlation between observed and predicted transport rates for the experimental conditions under which they were developed.…”

Section: Detachment Of Soil Particlesmentioning

confidence: 99%

Predicting land use and soil controls on erosion and sediment redistribution in agricultural loess areas: model development and cross scale verification

Scherer

Zehe

2015

Preprint

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Abstract. This study quantifies soil and land use controls on sediment mobilisation and redistribution in cultivated loess soil landscapes, as these landscapes are frequently used for intensive cultivation and are highly susceptible to erosion. To this end we developed and verified a process based model named CATFLOW-SED at the plot, hillslope and catchment scales. The model relies on an explicit representation of hillslopes and their dominant physiographical characteristics which control overland flow formation, particle detachment and sediment redistribution (transport and sedimentation). Erosion processes are represented by means of the steady state approximation of the sediment continuity equation, their interaction is conceptualized based on the sediment transport capacity of overland flow. Particle detachment is represented by means of a threshold approach accounting for the attacking forces of rainfall and overland flow which need to exceed a threshold in soil erosion resistance to mobilize soil particles (Scherer et al., 2012). Transport capacity of overland flow is represented as proposed by Engelund and Hansen (1967). Top soil particles and aggregates are detached and transported according to their share in the particle size distribution. Size selective deposition of soil particles is determined based on the sink velocity of the various particle size classes. CATFLOW-SED was verified on the plot, hillslope and catchment scale, where either particle detachment or lateral redistribution or sedimentation is the limiting factor, to check whether the respective parameterizations are transferable for simulations at the next higher scale. For verification we used the Weiherbach data set providing plot scale rainfall simulation experiments, long term monitoring of sediment yields on a selected hillslope as well as observed sediment fluxes at the catchment outlet. Our findings corroborate that CATFLOW-SED predicted the sediment loads at all scales within the error margin of the measurements. An accurate prediction of overland flow turned out as being necessary and sufficient to guarantee spatial transferability of erosion parameters optimized at smaller scales to the next higher scale without need for further calibration. Based on the verified model setup, we investigate the efficiency of land use management to mitigate measures in erosion scenarios for cultivated loess landscapes.

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Development of an empirical model for calculating sediment-transport capacity in shallow overland flows: Model calibration

Cited by 17 publications

References 12 publications

Predicting the sediment transport capacity from flow condition and particle size in the presence of vegetation cover

Predicting the sediment transport capacity from flow condition and particle size in the presence of vegetation cover

The role of the surface fine-grained laminae in low-gradient streams: A model approach

Predicting land use and soil controls on erosion and sediment redistribution in agricultural loess areas: model development and cross scale verification

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