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Synthetic events for flood risk calculation by using a nested Copula structure Franken, T.; Blanckaert, J.; Leyssen, G. (2016). Synthetic events for flood risk calculation by using a nested Copula structure, in: Lang, M. et al. 3rd European Conference on Flood Risk Management (FLOODrisk 2016), Lyon, France, October 17-21, 2016. E3S Web of Conferences, 7: pp. 10 pp. https://dx.doi.org/10.1051/e3sconf/20160701005 In: Lang, M. et al. (Ed.) (2016). 3rd European Conference on Flood Risk Management (FLOODrisk 2016), Lyon, France, October 17-21, 2016. E3S Web of Conferences, 7. EDP Sciences: France. In: E3S Web of Conferences. EDP Sciences. ISSN 2267-1242; e-ISSN 2267-1242

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Beschikbaar in	Auteurs
VLIZ: Open access 302455 [ download pdf ]
Documenttype: Congresbijdrage

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Trefwoord

Marien/Kust

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Auteurs		Top
Franken, T. Blanckaert, J. Leyssen, G.

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Abstract

Risk analysis requires considering the entire frequency domain of flood consequences. Synthetic events were generated for the entire river system of the Scheldt estuary. This estuary contains multiple navigable waterways and is situated in Belgium and the Netherlands. Extreme water levels are influenced by rainfall-runoff discharges, tiding, storm surges, and wind speed and direction. For the generation of hydraulic boundary conditions for flood risk assessment, these influences and their mutual dependencies and correlations are taken into account by means of a nested extreme value copula structure. The variation in time is taken into account by standardized profiles, computed by normalizing all recorded extreme events and fitting a probability distribution to the variation of the standardized events, yielding 5 profile classes through another stratification. Eventually this resulted in a total of 1920 sets of synthetic events. All events were run through the hydrodynamic model of the river system. The frequency distribution of the resulting water levels are calculated by accumulation of the corresponding probabilities of occurrence of the synthetic events at each location. The methodology has the advantage that it determines a statistical distribution of consequences, rather than assigning frequencies to hydrodynamic boundary conditions.

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