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Publications
Clarindo, G. and Guedes Soares, C. (2022), “Long-term probabilistic identification of extreme sea-states as causes of coastal risk due to wave severity”, Trends in Maritime Technology and Engineering, Guedes Soares, C. & Santos T.A. (Eds.), Taylor and Francis, London, UK, Vol. 2, pp. 299-306.
In the present work, these techniques are applied to identify the expected extreme combinations of sea-states for different return periods. The extreme sea-state conditions are evaluated using a robust approach based on the environmental contours of the main variables such as significant height and spectral peak period (Hs-Tp). The computed values of combinations predicted by the contours are used to justify the exclusion of the wave climate as the main factor of dune erosion in the location. In other words, among the different agents that cause dune erosion, it is possible to consider that the severity of the wave conditions affects naturally, allowing the recovery of the dune over the years, something that does not happen with anthropogenic agents that cause disturbances in the fore-dune fields such as pedestrians paths. Nevertheless, the current work deals only with the long-term probabilistic prediction of wave climate conditions.
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