Abstract
Coastal sand dunes are important in the nearshore environment with respect to the sand supply, ecosystem, and hazard mitigation. While the reliable prediction of the dune erosion is important, numerical modeling of this phenomenon is still challenging. In this study, a process based morphological modeling was performed and the results were compared with large-scale laboratory experimental data.
Highlights
A number of semi-empirical parameters are used within XBeach model to predict morphodynamic process (Roelvink et al, 2009)
LARGE_SCALE LABORATORY EXPERIMENTS In this study, a process based morphological modeling was performed and the results were compared with largescale laboratory experimental data
XBeach developers have already defined default settings for these parameters, which were re-determined by the WTI2017 (Wettelijk Toets Instrumentarium) project in order to intend for use an advanced dune safety assessment model
Summary
A number of semi-empirical parameters are used within XBeach model to predict morphodynamic process (Roelvink et al, 2009). LARGE_SCALE LABORATORY EXPERIMENTS In this study, a process based morphological modeling was performed and the results were compared with largescale laboratory experimental data. The flume was filled with 800m3 of 0.2mm-diameter natural beach sand from the Oregon coast.
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