A Coastal Flood Early-Warning System Based on Offshore Sea State Forecasts and Artificial Neural Networks

A Coastal Flood Early-Warning System Based on Offshore Sea State Forecasts and Artificial Neural Networks

An integrated methodological approach to the development of a coastal flood early-warning system is presented in this paper to improve societal preparedness for coastal flood events. The approach consists of two frameworks, namely the Hindcast Framework and the Forecast Framework. The aim of the for...

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Auteurs principaux: Michalis Chondros, Anastasios Metallinos, Andreas Papadimitriou, Constantine Memos, Vasiliki Tsoukala
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
coastal flood
inundation risk
early-warning system
wave overtopping
storm surge
artificial neural network
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Oceanography
GC1-1581
Accès en ligne:https://doaj.org/article/86f66d3a871d47b49d2e857a93e17c89
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https://doaj.org/article/86f66d3a871d47b49d2e857a93e17c89

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