Numerical Modeling of Storm-Induced Beach Erosion,

Wise, Randall A.; Smith, S. Jerrod

doi:10.21236/ada308848

Cited by 2 publications

(4 citation statements)

References 4 publications

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“…This was non-dimensionalised by the profile volume above SWL which is traversed by the run-up for a hypothetical constant slope profile. This quantity was suggested by WISE et al, (1996) to take into account the subaerial profile volume and geometry when determining the landward limit of overwash for a simple overwash algorithm in SBEACH, a Figure 5 shows a plot of V D /(0.5R 2 /s ave ) vs. F/Y c. There is no clear separation of the dune lowering and dune destruction points but the dune lowering points are clustered towards the right half of the dune destruction points, giving some indication that dunes with larger volumes are less readily destroyed. Surprisingly, F has little discernible effect.…”

Section: Dune Lowering and Dune Destructionmentioning

confidence: 94%

“…The hydrodynamic parameters used are the significant deepwater wave height, H 0 , the peak wave period corresponding to that height, T, surge level (including tide), S, and overwash duration, t s . Run-up heights, R, were calculated after WISE et al, (1996), using H 0 , T and s ave , where R is the run-up excursion if the slope, s ave , extends indefinitely (Figure 2(a)).…”

Section: Methodsmentioning

confidence: 99%

“…A total of 55 complete data sets were assembled. The data sets are from Metompkin Island VI (BYRNES AND GINGERICH, 1987) Folly, Garden City and North Myrtle Beaches SC (EISER AND BIRKEMEIER, 1991), Assateague Island and Ocean City MD (WISE et al, 1996), Manasquan Beach NJ (WISE et al, 1996), Santa Rosa Island FL (STONE, 2004), St Lucie County FL, (CP&E, pers. comm.)…”

Section: Datamentioning

confidence: 99%

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Morphologic Change by Overwash: Establishing and Evaluating Predictors

Donnelly

2007

Journal of Coastal Research

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The ability to predict cross-shore profile response to coastal overwash is important for both understanding how barrier islands respond to overwash and for disaster management on developed coastlines. This study establishes morphologic and hydrodynamic parameters for predicting the type of cross-shore profile response following overwash for given pre-storm profile and storm conditions. More than 50 data sets were categorised into 7 different types of cross-shore profile response to overwash. These responses are: 1) crest accumulation 2) landward translation of dunes/berms 3) dune lowering 4) dune destruction 5) barrier accretion 6) barrier rollover (short-term),and 7) barrier disintegration. Dimensionless parameters describing the pre-storm morphology and storm characteristics for these data sets were then plotted in two-dimensional space and trends for the different response types identified. For some responses it was possible to define criteria for their occurrence and for the others an approximate trend could be identified. Maximum surge level, maximum run-up level, storm overtopping duration, beach crest height, dune width and dune volume proved some of the most important parameters to distinguish responses. The criteria that are established and trends identified should allow the user to qualitatively predict the overwash response of a given cross-shore beach profile to a given set of storm conditions, using readily available data.

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Section: Dune Lowering and Dune Destructionmentioning

confidence: 94%

Section: Methodsmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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Morphologic Change by Overwash: Establishing and Evaluating Predictors

Donnelly

2007

Journal of Coastal Research

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“…Finally, the numerical model SBEACH is selected to estimate the beach profile response. A detailed description of the model is available in [27,28], whereas its disadvantages were presented by Thieler et al [29]. The direction and rate of cross-shore sediment transport predicted by SBEACH is based on empirical criteria derived from wave-tank experiments.…”

Section: Erosion Parameterizationmentioning

confidence: 99%

Assessing Coastal Vulnerability to Storms: A Case Study on the Coast of Thrace, Greece

Chalmoukis

2023

JMSE

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Climate change is expected to increase the risks of coastal hazards (erosion and inundation). To effectively cope with these emerging problems, littoral countries are advised to assess their coastal vulnerabilities. In this study, coastal vulnerability is first assessed by considering two basic storm-induced phenomena, i.e., erosion and inundation. First, the erosion is computed using the numerical model for Storm-induced BEAch CHange (SBEACH), whereas the inundation is estimated using two different empirical equations for comparison. Then, the integration of the vulnerabilities of both storm-induced impacts associated with the same return period permits the identification of the most hazardous regions. The methodology is applied to the coast of Thrace (Greece). The majority of the coastline is not vulnerable to erosion, except for some steep and narrow beaches and the coast along the city of Alexandroupolis. Beaches with very low heights are highly vulnerable to inundation. Half of the studied coastline is considered highly or very highly vulnerable, whereas the other half is relatively safe. The above results will help decision-makers choose how to invest their resources for preventing damage.

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Numerical Modeling of Storm-Induced Beach Erosion,

Cited by 2 publications

References 4 publications

Morphologic Change by Overwash: Establishing and Evaluating Predictors

Morphologic Change by Overwash: Establishing and Evaluating Predictors

Assessing Coastal Vulnerability to Storms: A Case Study on the Coast of Thrace, Greece

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