Statistical assessment of storm surge scenarios within integrated risk analyses
Statistical assessment of storm surge scenarios within integrated risk analyses
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 to calculate bivariate joint exceedance probabilities of the storm surge heights (total water levels with tides included) and intensities. The Copula theory is exploited and functions from the Archimedean family are used to build the statistical models. The latter are extended to the three-dimensional case to also take into account wave conditions where appropriate. The uncertainties associated with the results from the multivariate extreme value analyses are briefly discussed and (where possible) quantified and recommendations of how to exploit the presented methodologies in future applications are given.
1-19
Wahl, T.
192e987e-1eac-4376-84da-a4c89ef91b47
Mudersbach, C.
63c8d100-297a-4bbc-866c-74554a8db664
Jensen, J.
ef7e5ff0-e225-4160-aed7-407c2d78a090
25 March 2015
Wahl, T.
192e987e-1eac-4376-84da-a4c89ef91b47
Mudersbach, C.
63c8d100-297a-4bbc-866c-74554a8db664
Jensen, J.
ef7e5ff0-e225-4160-aed7-407c2d78a090
Wahl, T., Mudersbach, C. and Jensen, J.
(2015)
Statistical assessment of storm surge scenarios within integrated risk analyses.
Coastal Engineering Journal, 57 (1540003), .
(doi:10.1142/S0578563415400033).
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 to calculate bivariate joint exceedance probabilities of the storm surge heights (total water levels with tides included) and intensities. The Copula theory is exploited and functions from the Archimedean family are used to build the statistical models. The latter are extended to the three-dimensional case to also take into account wave conditions where appropriate. The uncertainties associated with the results from the multivariate extreme value analyses are briefly discussed and (where possible) quantified and recommendations of how to exploit the presented methodologies in future applications are given.
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Accepted/In Press date: 12 January 2015
Published date: 25 March 2015
Organisations:
Energy & Climate Change Group
Identifiers
Local EPrints ID: 393878
URI: http://eprints.soton.ac.uk/id/eprint/393878
ISSN: 0578-5634
PURE UUID: 8466e928-5d85-43c8-9307-8927d9c9ff76
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Date deposited: 09 May 2016 09:40
Last modified: 15 Mar 2024 00:13
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Author:
T. Wahl
Author:
C. Mudersbach
Author:
J. Jensen
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