2000
DOI: 10.1016/s0022-1694(00)00177-3
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Using two-dimensional hydrodynamic models at scales of ecological importance

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Cited by 193 publications
(164 citation statements)
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“…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]. Figure 4 shows the size of the generated mesh elements in the channel, which satisfy the range of the recommended mesh Peclet number.…”
Section: Resultsmentioning
confidence: 99%
“…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]. Figure 4 shows the size of the generated mesh elements in the channel, which satisfy the range of the recommended mesh Peclet number.…”
Section: Resultsmentioning
confidence: 99%
“…For example, buildings are in general densely distributed in an urban area and thus a high-resolution mesh is normally required in urban inundation modelling [5][6][7]. Local flow regime is important for fish habitat in ecological studies, and in this connection Crowder and Diplas [8] employed a locally fine mesh to resolve large boulders in natural rivers. However, a high-resolution mesh means a large number of computational nodes and thus a huge increase in computational cost [9].…”
Section: Introductionmentioning
confidence: 99%
“…But today, it is more common to access a river DTM than cross-sectional data, and popular one-dimensional modeling software such as HEC-RAS (US Army Corps of Engineers, Davis, California) is configured to compute transect data from DEMs using tools such as HEC GeoRAS (US Army Corps of Engineers, Davis, California). The increased availability of river DEMs has also enabled multi-dimensional hydrodynamic river modeling (both 2D and 3D) for numerous applications including studies of morphodynamics (Lane et al, 1999;Abu-Aly et al, 2014), ecology (Crowder and Diplas, 2000;Shen and Diplas, 2008), and flood risk (Sanders, 2007;Bates, 2012;Yan et al, 2015a). Indeed, multi-dimensional hydrodynamic river models offer exciting new opportunities to examine the complexity of river dynamics at fine scale and over spatial extents of practical significance .…”
Section: Introductionmentioning
confidence: 99%
“…High computational costs have generally limited the application of metric resolution models to the mesoscale defined by small multiples of the river width (e.g., Crowder and Diplas, 2000), although there have been a few applications at the macroscale defined by large multiples of the river width (e.g., Abu-Aly et al, 2014;Yan et al, 2015b). Macroscale hydrodynamic modeling is also somewhat common with a grid resolution of tens, hundreds or even thousands of meters, sometimes using sub-grid models to account for channel flows (e.g., Neal et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
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