Measuring sediment transport capacity in ephemeral gully through adjustment of sediment feeding

Huang, Yuhan; Zhuang, Xiaohui; Wang, Wei; Lei, Tingwu; Liu, Zhiqiang; Zhang, Qingwen; Dong, Yuequn; Ji, Hongyi

doi:10.1016/j.catena.2021.105261

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…This condition indicated that for a given T c value, greater detachment capacity of the flow/soil combination or higher soil rill erodibility produces more rill erosion 2 , which results in faster increases in the sediment concentration in the rill water flow. Under these conditions, sediment concentration in the water flow can reach its maximum with shorter length of rill 19 . The slope length needed for the flow to become saturated with sediments increases with the transport capacity of the water flow 20 .…”

Section: Resultsmentioning

confidence: 99%

Mathematical method for physics-based rill erosion process using detachment and transport capacities

Ban

Lei

2022

Sci Rep

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Quantification of rill erosion processes is of great importance in both model parameter estimations for process-based rill erosion models and in model performance verification. This study presents a mathematical method to determine a physics-based rill erosion process derived from the feedback relationship of transport capacity and detachment capacity. Experimental data sets were used to determine transport capacities under steep slope gradients of 15°, 20°, and 25° and the detachment capacities. The estimated transport and detachment capacities were then used to determine the sediment delivery processes under different hydraulic regimes. The sediment concentrations along the rill determined with the mathematical method were compared with the experimental measurements to verify the methodology and the mathematics. Results showed that the mathematical model results agreed well with the experimental data in references. The predicted detachment capacity calculated by the new method was capable of predicting saturated, unsaturated, and thawed slope, but incapable of partially thawed soil. This study not only supports the analytical solution to the differential equation of rill erosion, but also verifies that the experimental method was fit well with the mathematical concept. The new method provides a useful and efficient way to quantify rill erosion processes.

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Section: Resultsmentioning

confidence: 99%

Mathematical method for physics-based rill erosion process using detachment and transport capacities

Ban

Lei

2022

Sci Rep

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“…The sediment concentration in the steady water flow represented the sediment transport capacity. This method has been used in soil erosion research and has proven feasible (Gao et al, 2019; Huang et al, 2021). After the water flow at the outlet stabilized, five sediment samples were collected using stainless‐steel beaker from the rill.…”

Section: Methodsmentioning

confidence: 99%

“…A sediment feeding method (Huang et al, 2021) was used to measure the sediment transport capacity. The 8 m-long soil flume was divided into a sediment supply section (2 m) and a horizontal section (6 m).…”

Section: Sediment Transport Capacitymentioning

confidence: 99%

Determination of sediment transport capacity by hydrodynamic variables considering subsurface water flow

Tao

Chen

et al. 2022

Land Degrad Dev

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Subsurface water flow can cause serious soil erosion on sloping farmland. Sediment transport capacity (Tc) data at different subsurface water flow depths are limited. The objective of this study was to develop a new equation that can accurately determine Tc under subsurface water flow impacts. Subsurface water flows were arranged at three depths: 15, 10, and 5 cm. Three flow discharges (2, 4, and 8 L min−1) and four slope gradients (5°, 10°, 15°, and 20°) were designed to conduct flume scouring experiments. The results indicate that flow velocity, shear stress, and unit energy with linear equations and stream power with power equations can be used to determine Tc, but those using the unit stream power perform relatively poorly under the different subsurface water flow depths. Among these parameters, the shear stress is the preferred predictor of Tc. The addition of prediction parameters, subsurface water flow depth, in response to Tc equations can improve the accuracy of Tc modeling. The power‐exponential equation of shear stress combined with the subsurface water flow depth best described the Tc of rill flow under subsurface water flow impacts. Subsurface water flow can increase the soil erodibility, and thus decrease the critical shear stress, resulting in a lower critical flow velocity at which sediment transport capacity can be achieved. This research provides a new equation for directly determining Tc in subsurface water flow‐impacted rill flow on purple soil slopes.

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Upslope sediment-laden flow impacts on ephemeral gully erosion: Evidences from field monitoring and laboratory simulation

Zheng

Tang

et al. 2022

CATENA

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Measuring sediment transport capacity in ephemeral gully through adjustment of sediment feeding

Cited by 6 publications

References 41 publications

Mathematical method for physics-based rill erosion process using detachment and transport capacities

Mathematical method for physics-based rill erosion process using detachment and transport capacities

Determination of sediment transport capacity by hydrodynamic variables considering subsurface water flow

Upslope sediment-laden flow impacts on ephemeral gully erosion: Evidences from field monitoring and laboratory simulation

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