Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island

Sagar Island, located in the Indian Sundarbans Delta, is extremely vulnerable to storm surge flooding. Therefore, there is a need for a precise model to assess its susceptibility to storm surges, which is essential for efficient coastal management and reducing the risk of disasters. Traditional mode...

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Vydané v:	Natural hazards (Dordrecht) Ročník 120; číslo 6; s. 5099 - 5128
Hlavní autori:	Alshayeb, Mohammed J., Hang, Hoang Thi, Shohan, Ahmed Ali A., Bindajam, Ahmed Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.04.2024 Springer Nature B.V
Predmet:	Accuracy Additives Algorithms Artificial intelligence Artificial neural networks Bayesian analysis Bayesian theory Civil Engineering Coastal management Coastal zone Coastal zone management Collinearity Competitors Cyclone tracks Deep learning Disaster management Disaster risk Disasters Earth and Environmental Science Earth Sciences Environmental Management Explainable artificial intelligence Flood management Floods Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Machine learning Mathematical models Model accuracy Modelling Natural Hazards Neural networks Optimization Original Paper Permutations Prediction models Probability theory Rainfall Risk reduction Robustness Storm surges Storms Susceptibility Tidal waves Sagar Island Deep learning Storm surge Sagar Island Explainable AI Bayesian optimization LightGBM
ISSN:	0921-030X, 1573-0840
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