1998
DOI: 10.1016/s0045-7930(97)00071-6
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An unstructured finite-volume algorithm for predicting flow in rivers and estuaries

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Cited by 161 publications
(105 citation statements)
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“…Spectral models, solving the wave action balance equation, are successfully used to reproduce wave generation and propagation in finite depth domains [14][15][16][17]. Through the conservation of the wave action density it is possible to take into account the effects of a current field superimposed on gravity waves, which modify their period and amplitude [18][19][20][21][22]; these changes result in additional hydrodynamic forces, related to the gradients of radiation stresses and bottom shear stresses, which in turn influence the flow field.…”
Section: Introductionmentioning
confidence: 99%
“…Spectral models, solving the wave action balance equation, are successfully used to reproduce wave generation and propagation in finite depth domains [14][15][16][17]. Through the conservation of the wave action density it is possible to take into account the effects of a current field superimposed on gravity waves, which modify their period and amplitude [18][19][20][21][22]; these changes result in additional hydrodynamic forces, related to the gradients of radiation stresses and bottom shear stresses, which in turn influence the flow field.…”
Section: Introductionmentioning
confidence: 99%
“…The success of Godunov-type flood models can be attributed to approximate Riemann solvers [37,75] which are also embedded in discontinuous Galerkin finite element schemes [4,26,45] and Boussinesq models that account for non-hydrostatic flow effects [47]. Godunov-type models have generally assumed either a structured mesh of quadrilateral cells [3,13,29,35,42,86] or an unstructured mesh of triangular cells [7,15,41,70,84]. The latter mandates greater overhead to track the neighborhood of data around each cell, and makes it more challenging to compute gradients in the solution because data points do not fall on a regular grid [7,41], but the unstructured mesh is very appealing for the ease with which meshes can be generated and tailored to the unique geometry of application sites and the ability to locally refine the mesh around areas of interest [11,21,54,57,66,67,76].…”
Section: Introductionmentioning
confidence: 99%
“…A drying/wetting boundary method was introduced to improve the effectiveness and stability of computation [36,37]. Grids were assessed by drying depth threshold and wetting depth threshold before computation at each time step.…”
Section: Methods Of Drying/wetting Depth Boundarymentioning
confidence: 99%