2009
DOI: 10.1007/s11269-009-9426-1
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Prediction of Bank Erosion in a Reach of the Sacramento River and its Mitigation with Groynes

Abstract: The paper reports on the prediction of flow in a reach of the Sacramento River with focus on a part of the river's bank where serious erosion has occurred. The simulations were obtained using a three-dimensional Navier-Stokes solver which utilized body-fitted coordinates to represent the complex river bathymetry. Comparative predictions were obtained using a two-dimensional, depth-averaged formulation. Local (nested) mesh refinement was employed to provide the necessary resolution of the bank geometry in the r… Show more

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Cited by 22 publications
(10 citation statements)
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References 33 publications
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“…The geometry and flow conditions of the case A1 from Rajaratnam et al [35] are used to compare the numerical results with the experimental velocity data ( Figure 4). This case has been reproduced by other authors as Ercan et al [11], Tingsanchali et al [12], Chung et al [18] or Wu et al [47].…”
Section: Spur Dikesupporting
confidence: 92%
See 1 more Smart Citation
“…The geometry and flow conditions of the case A1 from Rajaratnam et al [35] are used to compare the numerical results with the experimental velocity data ( Figure 4). This case has been reproduced by other authors as Ercan et al [11], Tingsanchali et al [12], Chung et al [18] or Wu et al [47].…”
Section: Spur Dikesupporting
confidence: 92%
“…Depth averaged shallow water models have a broad range of applications in hydraulic engineering as flood inundation in urban areas [1][2][3][4][5], dam break modelling [6][7][8][9], flow around hydraulic structures [10][11][12] and flow in rivers and estuaries [13][14][15][16]. These kind of studies often imply the necessity of modelling complex geometries, which results in time-consuming mesh generation operations to adapt the model boundaries to the solid obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…However, three-dimensional current dynamics around the groynes have not be investigated yet, and it thus makes more difficult to accomplish the goals of these studies. Ercan and Younis (2009) have examined efficiency of the groyne in reducing a bank erosion by using two and three dimensional numerical schemes. In actual rivers, it is of importance to select efficient alternative designs of spur dykes and groynes in river managements.…”
Section: Introductionmentioning
confidence: 99%
“…Linearized bed theory provides some quantitative insight into the role of stream curvature on channel bank shear stress and channel evolution, but this approach is only valid for gently curving bends where the radius of curvature is much greater than the channel width (Ikeda et al, 1981). More complicated channel geometries can be analyzed using numerical hydrodynamic and sediment transport models, but neither of these approaches are well suited for rapid regional-scale assessments of flood risks (Blanckaert and de Vriend, 2003;Ferguson et al, 2003;Seminara, 2006;Camporeale et al, 2007;Rüther and Olsen, 2007;Ercan and Younis, 2009). In order to facilitate a regional-scale, pre-flood assessment of the impact of channel geometry on susceptibility to bank erosion, we introduce a new parameter, here called the bend stress parameter, which is proportional to the centripetal force F c exerted along a concave bank.…”
Section: Bend Stressmentioning
confidence: 99%
“…Linearized bed theory provides some quantitative insight into the role of stream curvature on channel bank shear stress and channel evolution, but this approach is only valid for gently curving bends where the radius of curvature is much greater than the channel width (Ikeda et al ., ). More complicated channel geometries can be analyzed using numerical hydrodynamic and sediment transport models, but neither of these approaches are well suited for rapid regional‐scale assessments of flood risks (Blanckaert and de Vriend, ; Ferguson et al ., ; Seminara, ; Camporeale et al ., ; Rüther and Olsen, ; Ercan and Younis, ).…”
Section: Introductionmentioning
confidence: 99%