2015
DOI: 10.1142/s0578563415400033
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Statistical Assessment of Storm Surge Scenarios Within Integrated Risk Analyses

Abstract: This paper summarizes the results from calculating exceedance probabilities of different storm surge scenarios developed within the XtremRisK project, which were then used as boundary conditions for integrated risk analyses for the city of Hamburg in the Elbe Estuary and Sylt Island off the coastline of Schleswig-Holstein in northern Germany. A stochastic storm surge model is developed to simulate a large number of synthetic and physically consistent storm surge scenarios, before the resulting samples are used… Show more

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Cited by 15 publications
(21 citation statements)
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References 22 publications
(32 reference statements)
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“…The capabilities of the SSG have been demonstrated by comparing synthetically generated storm surge curves (time series with a one-minute resolution) to those obtained from observed data, from hydrodynamic models and from empirical analyses. More details are given in Wahl et al [2011], Wahl et al [2012aWahl et al [ , 2012b and Wahl et al [2015].…”
Section: Key Resultsmentioning
confidence: 99%
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“…The capabilities of the SSG have been demonstrated by comparing synthetically generated storm surge curves (time series with a one-minute resolution) to those obtained from observed data, from hydrodynamic models and from empirical analyses. More details are given in Wahl et al [2011], Wahl et al [2012aWahl et al [ , 2012b and Wahl et al [2015].…”
Section: Key Resultsmentioning
confidence: 99%
“…By using a fully nested Archimedean Copula approach, the bivariate model is extended to a trivariate model which additionally accounts for the significant wave height H s [see Wahl et al, 2012aWahl et al, , 2015. Following this approach, the most relevant parameters determining the hydrodynamic load for coastal structures and beaches (namely h w,max , F and H s ) are jointly analyzed and realistic bivariate or trivariate exceedance probabilities are obtained and delivered to SP2.…”
Section: Key Resultsmentioning
confidence: 99%
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“…This nonlinearity was confirmed and further detailed by Tayel and Oumeraci [2015] using a hybrid approach based on a hydrodynamic model and an artificial neural network. Wahl et al [2015] used a statistical approach to propose a storm surge generator, including not only the maximum water level during a storm surge but also its time history. Joint probabilities were estimated for different storm surge scenarios taking into account the water level but also its duration and wave parameters.…”
Section: About This Issuementioning
confidence: 99%
“…Eng. J., this special issue; Wahl, T. et al [2015] "Statistical assessment of storm surge scenarios within integrated risk analyses," Coast. Eng.…”
mentioning
confidence: 99%