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Climate Adaptation-Aware Flood Prediction for Coastal Cities Using Deep Learning

arXiv · · Significant research

Research CV Deep Learning Climate Change Abu Dhabi

Summary

Researchers have developed a CNN-based deep learning model for predicting coastal flooding in cities under various sea-level rise scenarios. The model utilizes a vision-based, low-resource DL framework and is trained on datasets from Abu Dhabi and San Francisco. Results show a 20% reduction in mean absolute error compared to existing methods, demonstrating potential for scalable coastal flood management.

Keywords

coastal flooding · sea-level rise · CNN · deep learning · climate adaptation

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