Three‐Dimensional Computation of Flow and Bed Deformation

Shimizu, Yasuyuki; Yamaguchi, Hideyo; Itakura, Tadaoki

doi:10.1061/(asce)0733-9429(1990)116:9(1090)

Cited by 90 publications

(58 citation statements)

References 16 publications

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“…C a can be approximated by the suspended sediment concentration at the 5% depth from the channel bed (Shimizu et al 1990). The entrained sediment rate and deposition rate can be expressed as:…”

Section: Soil Erosion-deposition Modelmentioning

confidence: 99%

Simulation of Runoff and Suspended Sediment Transport Rate in a Basin with Multiple Watersheds

Chen¹,

Tsai²,

Tsai³

2010

Water Resour Manage

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Accurate runoff and suspended sediment transport rate models are critical for watershed management. In this study, a physiographic soil erosion-deposition (PSED) model is used in conjunction with GIS, to simulate the runoff and sediment transport process during storm events in a multi-watershed basin. This PSED model is verified using three typhoon events and 33 storm events in Cho-Shui River Basin, located in central Taiwan. Cho-Shui River Basin has 11 sub-watersheds displaying a variety of hydrologic and physiographic conditions as well as high concentrations of suspended sediment in river flow and a steep average channel bed slope of 2%. The results show the capability, applicability, and accuracy of the PSED model for multi-watershed basins.Keywords Multi-watershed river basin · Physiographic soil erosion-deposition model (PSED) · Discharge hydrograph · Suspended sediment transport rate · GIS

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Section: Soil Erosion-deposition Modelmentioning

confidence: 99%

Simulation of Runoff and Suspended Sediment Transport Rate in a Basin with Multiple Watersheds

Chen¹,

Tsai²,

Tsai³

2010

Water Resour Manage

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“…Fully three-dimensional (3D) nonhydrostatic models of flow and sediment transport in loose bed channels have recently become computationally feasible. Such models have been successfully applied to the case of moderately (ratio between the mean curvature and channel width was larger than four) curved open-channel bends by Shimizu et al [1990], Wu et al [2000], Olsen [2005, 2006], and Zeng et al [2005aZeng et al [ , 2005bZeng et al [ , 2008 and by Khosronejad et al [2007].…”

Section: Introductionmentioning

confidence: 99%

Flow and bathymetry in sharp open‐channel bends: Experiments and predictions

Zeng

Constantinescu

Blanckaert

et al. 2008

Water Resources Research

108

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[1] This paper focuses on experiments and simulations conducted in very sharp open-channel bends with flat and equilibrium bathymetry, corresponding to the initial and final phases of the erosion and deposition processes, respectively. The study of flow in curved open bends is relevant for flow in natural river configurations, as most river reaches are not straight. The configuration considered in the present work was designed as a test case in which the role of the cross-sectional flow is more severe than in meandering natural river reaches (radius of curvature of the channel is close to the channel width) and, thus, can serve for validation of numerical models used to predict flow and sediment transport in river engineering applications. This paper presents detailed new experimental data on the equilibrium bathymetry as well as depth-averaged distributions, vertical profiles, and cross-sectional patterns of the streamwise velocity, the cross-stream circulation, streamwise vorticity, and the turbulent kinetic energy at the initial and final stages of the erosion and deposition processes. The numerical simulations are performed using a three-dimensional nonhydrostatic RANS model for flow, sediment transport, and bathymetry, which employs fine meshes, accounts for the effect of small bed forms, and avoids the use of the law of the wall. The model predicts, rather accurately, the distribution of the streamwise velocity, the cross-stream circulation, and the turbulent kinetic energy in the simulations conducted with a fixed (flat and deformed bed corresponding to equilibrium conditions) prescribed bathymetry. In the case of a simulation conducted with loose bed, the model predicts satisfactorily the main features of the bathymetry at equilibrium conditions, despite the fact that including the interaction between the flow and the bathymetry increases the overall uncertainty in the model predictions. Results indicate that both improvements in the level of turbulence modeling and in the modeling of the sediment transport would allow further improvement in the predictive capabilities of morphodynamic models.

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“…[10] Early work on 3-D numerical modeling was done by Shimizu et al [1990], who used a zero-equation turbulence model and the hydrostatic pressure assumption to compute several cases, including bed changes in a 180 degree bend and two different river bends. The results were compared with a 2-D depth-averaged numerical model and physical model studies.…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional CFD modeling of morphological bed changes in the Danube River

Fischer-Antze¹,

Olsen

Gutknecht

2008

Water Resources Research

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[1] The bed changes in a section of the river Danube were computed using a 3-D computational fluid dynamics model. A time series of discharges during the flood in 2002 was used. The results compared reasonably well with regular bed level surveys before and after the flood. The Danube River section was 6 km long and located between Vienna and the Austrian-Slovakian border. The fully three-dimensional numerical model solved the Navier-Stokes equations using the k-epsilon turbulence closure. Nonuniform sediment transport was computed using the formulas of Wu et al. (2000b), considering hidingexposure algorithms. Both bed deformation and sorting processes were calculated. A number of parameter sensitivity tests were carried out on roughness values, parameters in the sediment transport capacity formula, parameters in the hiding-exposure formulas, critical Shields number, and variations in the formulas for the effect of a sloping bed. Additionally, the sediment inflow to the section was varied together with investigations of physical parameters such as vegetation and groyne structures. The results were most sensitive to the Shields number for critical movement of the sediments. An error analysis was performed to give a quantitative assessment of the parameter sensitivity tests.

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Three‐Dimensional Computation of Flow and Bed Deformation

Cited by 90 publications

References 16 publications

Simulation of Runoff and Suspended Sediment Transport Rate in a Basin with Multiple Watersheds

Simulation of Runoff and Suspended Sediment Transport Rate in a Basin with Multiple Watersheds

Flow and bathymetry in sharp open‐channel bends: Experiments and predictions

Three‐dimensional CFD modeling of morphological bed changes in the Danube River

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