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Development of a Bayesian network-based early warning system for storm-driven c...

L. Garzon, Juan; Ferreira, Óscar; Plomaritis, T. A.; Zózimo, A. C.; Fortes, C. J. E. M.; Pinheiro, L. V.

Coastal hazards such as flooding and erosion can cause large economic and human losses. Under this threat, early warning systems can be very cost-effective solutions for disaster preparation. The goal of this study was to develop, test, and implement an operational coastal erosion early warning system supported by a particular method of machine learning. Thus, the system combines Bayesian Networks, and state-of...


Uncertainty analysis related to beach morphology and storm duration for more re...

Garzon, Juan L.; Plomaritis, T. A.; Ferreira, Oscar

Early warning systems (EWSs) for coastal erosion are highly cost-effective instruments for disaster risk reduction. Among other aspects, an adequate pre-storm beach morphology and the storm characteristic definition are relevant in determining EWSs prediction reliability. Here, XBeach simulations were used to investigate the beach-dune response to different storm events with varying duration and pre-storm morph...


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