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

Alshayeb, Mohammed J.; Hang, Hoang Thi; Shohan, Ahmed Ali A.; Bindajam, Ahmed Ali

doi:10.1007/s11069-024-06414-6

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2024

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Cited by 2 publications

References 66 publications

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Application of Deep Learning Algorithm for Prediction of Flood Severity

Jamunadevi,

Naveen,

Manimaran

et al. 2024

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)

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Application of Deep Learning Algorithm for Prediction of Flood Severity

Jamunadevi,

Naveen,

Manimaran

et al. 2024

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)

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Flood Susceptibility Assessment in Urban Areas via Deep Neural Network Approach

Panfilova,

Kukartsev,

Tynchenko

et al. 2024

Sustainability

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Floods, caused by intense rainfall or typhoons, overwhelming urban drainage systems, pose significant threats to urban areas, leading to substantial economic losses and endangering human lives. This study proposes a methodology for flood assessment in urban areas using a multiclass classification approach with a Deep Neural Network (DNN) optimized through hyperparameter tuning with genetic algorithms (GAs) leveraging remote sensing data of a flood dataset for the Ibadan metropolis, Nigeria and Metro Manila, Philippines. The results show that the optimized DNN model significantly improves flood risk assessment accuracy (Ibadan-0.98) compared to datasets containing only location and precipitation data (Manila-0.38). By incorporating soil data into the model, as well as reducing the number of classes, it is able to predict flood risks more accurately, providing insights for proactive flood mitigation strategies and urban planning.

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

Cited by 2 publications

References 66 publications

Application of Deep Learning Algorithm for Prediction of Flood Severity

Application of Deep Learning Algorithm for Prediction of Flood Severity

Flood Susceptibility Assessment in Urban Areas via Deep Neural Network Approach

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