2009
DOI: 10.1016/j.apor.2009.05.002
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Process-based model for nearshore hydrodynamics, sediment transport and morphological evolution in the surf and swash zones

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Cited by 29 publications
(26 citation statements)
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“…On the other hand, the predictive capabilities of the each sub-module have been tested: The variabledensity groundwater flow model and the setup used to represent the cross-shore section of the aquifer were validated using experimental data collected at the field-and laboratory scales, see for example Brovelli et al (2006) and Robinson et al (2008Robinson et al ( , 2009. Validation of the nearshore hydrodynamic and sediment transport module can be found in Bakhtyar et al (2009b). Finally, the coupled model was validated using a detailed set of experimental data collected in a wave simulator, and the comparison reported by Bakhtyar et al (2011).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the predictive capabilities of the each sub-module have been tested: The variabledensity groundwater flow model and the setup used to represent the cross-shore section of the aquifer were validated using experimental data collected at the field-and laboratory scales, see for example Brovelli et al (2006) and Robinson et al (2008Robinson et al ( , 2009. Validation of the nearshore hydrodynamic and sediment transport module can be found in Bakhtyar et al (2009b). Finally, the coupled model was validated using a detailed set of experimental data collected in a wave simulator, and the comparison reported by Bakhtyar et al (2011).…”
Section: Introductionmentioning
confidence: 99%
“…The governing equations were discretized using standard finite-difference methods with Cartesian coordinates, while a staggered grid was used for the calculation domain. The time step was determined 10 by iteration until computational stability was achieved (Bakhtyar et al, 2008(Bakhtyar et al, , 2009. Stability was controlled mainly by the local Courant number.…”
Section: Numerical Modelmentioning
confidence: 99%
“…The model has not been validated against experimental data for the conditions considered in this manuscript since suitable data sets are not available. But, the predictive capabilities of the each sub-module have been tested previously (i.e., [12,17,37,38]) and good agreement was found considering different conditions. Thus, we believe that the model used in this study is to some extent validated.…”
Section: Introductionmentioning
confidence: 99%