2017
DOI: 10.1016/j.coastaleng.2016.12.009
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Effect of beach slope and grain-stabilization on coastal sediment transport: An attempt to overcome the erosion overestimation by XBeach

Abstract: The reproduction of seventeen laboratory tests for dune erosion by the surf-beat mode of the two-dimensional horizontal (2DH) model XBeach for storm wave conditions showed that the model overestimates the erosion and thus the deposition volumes. This overestimation becomes particularly significant for very large overtopping rates on coastal barriers, which are commonly induced by extreme storm surges. In this paper, the recent model improvements to overcome this problem are first summarised. Moreover, two phys… Show more

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Cited by 49 publications
(41 citation statements)
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“…This means that the prediction capability of XBeach might substantially decrease with higher overtopping rates, which is in full agreement with the overestimation of erosion associated COASTAL ENGINEERING 2018 6 with higher flow velocity regimes as often reported in the literature (e.g. Bisschop et al, 2016Bisschop et al, , 2010De Vet, 2014;Elsayed and Oumeraci, 2017c;McCall et al, 2010). As shown in Fig (4.c), this overestimation by XBeach is verified by comparing the observed and the modelled crest recession for all the 17 GWKtests.…”
Section: Assessment Of Xbeach Performance By Means Of Large-scale Dunsupporting
confidence: 86%
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“…This means that the prediction capability of XBeach might substantially decrease with higher overtopping rates, which is in full agreement with the overestimation of erosion associated COASTAL ENGINEERING 2018 6 with higher flow velocity regimes as often reported in the literature (e.g. Bisschop et al, 2016Bisschop et al, , 2010De Vet, 2014;Elsayed and Oumeraci, 2017c;McCall et al, 2010). As shown in Fig (4.c), this overestimation by XBeach is verified by comparing the observed and the modelled crest recession for all the 17 GWKtests.…”
Section: Assessment Of Xbeach Performance By Means Of Large-scale Dunsupporting
confidence: 86%
“…Furthermore, XBeach has sufficiently proved his capability to predict overtopping rates as compared to empirical equations and/or neural network tool recommended by static models (e.g. EurOtop of Van der Meer et al 2016), which are also unsuitable to calculate the inland discharge through a breach-induced inlet because of the dynamic nature of the breaching process (Elsayed and Oumeraci, 2017c). In addition, XBeach is capable to generate long and short-crested waves at the offshore boundary (Elsayed andOumeraci, 2016a, 2016b).…”
Section: The Xbeach-seawat Model Systemmentioning
confidence: 99%
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