Modeling considerations for simulation of flow in bedrock channels

Miller, Andrew J.; Cluer, Brian

doi:10.1029/gm107p0061

Cited by 46 publications

(50 citation statements)

References 64 publications

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“…Miller and Cluer [35] examined the water level response to different eddy viscosity. They also found that the increasing eddy viscosity slightly raised the water level.…”

Section: Discussionmentioning

confidence: 99%

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Chen

Liu

2017

Water

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A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction along the river channel. This study presents three algorithms to resample the river cross-section data points in both the transverse and longitudinal directions from the original data. A two-dimensional (2D) high-resolution unstructured-grid hydrodynamic model was used to assess the performance of the original and resampled cross-section data on a simulated river stage under low flow and high flow conditions. The simulated river stages are significantly improved using the resampled cross-section data based on the linear interpolation in the tidal river and non-tidal river segments. The resampled cross-section data based on the linear interpolation satisfactorily maintains the topographic and morphological features of the river channel, especially in the meandering river segment. Furthermore, the performance of the 2D and three-dimensional (3D) models on the simulated river stage was also evaluated using the resampled cross-section data. The results indicate that the 2D and 3D models reproduce similar river stages in both tidal and non-tidal river segments under the low flow condition. However, the 2D model overestimates the river stages in both the tidal and non-tidal river segments compared to the 3D model under the high flow condition. The model sensitivity was implemented to investigate the influence of bottom drag coefficient and vertical eddy viscosity on river stage using 2D and 3D models based on the linear interpolation method to resample river bed cross-section. The results reveal that the change of bottom drag coefficient has a minor impact on river stage, but the change of vertical eddy viscosity is insensitive to river stage.

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“…Miller and Cluer [35] examined the water level response to different eddy viscosity. They also found that the increasing eddy viscosity slightly raised the water level.…”

Section: Discussionmentioning

confidence: 99%

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Chen

Liu

2017

Water

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“…The appropriate selection of the upstream water height h i and the main flow path (i.e., the one-dimensional axis) are additional sources of uncertainty. The effects of these uncertainties can be quantified by undertaking sensitivity analyses to determine how retrodicted flows vary over an appropriate range of specified coefficient values (Miller and Cluer, 1998). Thus, channel roughness and inflow water height were systematically varied, both in isolation and combination, across the full range of values thought to be appropriate for the modelled reach.…”

Section: Resultsmentioning

confidence: 99%

“…More recently, a number of studies have started to employ the more sophisticated two-dimensional versions of the shallow water equations (e.g. Miller, 1998;Miller and Cluer, 1998;Eskilsson et al, 2002;Denlinger and O'Connell, 2003). Two-dimensional approaches are likely to be more appropriate for accurately simulating extreme outburst events, given their ability to characterise unsteady flows, dynamic waves, and supercritical flows (Carrivick, 2006;Carrivick, 2007), but few studies have systematically compared the potential and limitations of one-versus two-dimensional modelling in the context of palaeoflood reconstruction (e.g.…”

Section: Introductionmentioning

confidence: 99%

The use of one- and two-dimensional hydraulic modelling to reconstruct a glacial outburst flood in a steep Alpine valley

Bohorquez

Darby

2008

Journal of Hydrology

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Summary The hydrologic characteristics of the 1943 outburst flood from the Glacier du Mont Miné, Switzerland, are herein reconstructed using field evidence (palaeostage indicators) in conjunction with shallow water modelling techniques. These techniques rely on accurately characterising the hydraulic roughness of the channel, the water height established as boundary conditions, and the main flow path during the former flood, but the selection of appropriate parameter values can be problematic and hence there is uncertainty in the estimated discharge. In this study, minimal flow discharge estimates derived from one-dimensional modelling were found to vary between 429 and 557 m 3 s À1 as the hydraulic roughness ðk s Þ and water height at the inlet were varied over a realistic range of values (0.8-1.4 m and 3.31-6 m, respectively), whereas flow rates derived via twodimensional modelling were confined in a narrower, lower, range of 358-454 m 3 s À1 . This degree of sensitivity to bed roughness k s , boundary conditions and the spatial dimensions of the modelling approach is, for the one-dimensional modelling, higher than reported in previous studies, but the precision of flow discharge values reconstructed using the twodimensional modelling approach appears to be acceptable, even for floods in the very steep valley (0.1 m/m) that is subject of this study. ª

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“…It is therefore sufficient to keep the mesh Peclet number within the recommended range for all the elements in the computational mesh. Prior studies using FESWMS [10,11] recommended a mesh Peclet number between 10 and 40 to ensure that: 1) momentum is dominated by advection; 2) eddy viscosity maintains flow consistency and prevents oscillation; and 3) proper amount of energy loss due to dispersion takes place in each element to account for microeddies, which are too small to be resolved in the mesh (i.e., those eddies that are smaller than the local element size). Keeping the mesh Peclet criterion within the recommended range and resolving for the ideal element size R minimizes the errors that can result from the spatial resolution of the computational mesh [12,13,14].…”

Section: Resultsmentioning

confidence: 99%

Modeling Dubai City Artificial Channel

Elhakeem

Amrousi

2016

MATEC Web Conf.

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Abstract. Dubai's new channel further enhances the urban-scape of the city offering new waterfront developments, transportation venues and diversified panoramas to the city. This paper performs a study to simulate the flow field in the proposed Dubai artificial channel using a 2D hydrodynamic model. The model predicts the flow depth and velocity in the channel, lagoons and bends. The model predictions show that the velocity is higher in the channel sections compared to the lagoons and bends sections. On the other hand, the water depth is lower in the channel sections compared to the lagoons and bends sections. Nonetheless, the velocities in the channel are within the accepted range that prevents boundary erosion and sediment deposition.

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Modeling considerations for simulation of flow in bedrock channels

Cited by 46 publications

References 64 publications

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

The use of one- and two-dimensional hydraulic modelling to reconstruct a glacial outburst flood in a steep Alpine valley

Modeling Dubai City Artificial Channel

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