Deep Learning Based Modal for Predicting Flooding Pattern and Climate Shifts

This research presents an integrated deep learning model that combines climate pattern prediction and flood forecasting. Understanding and mitigating climate change and its impact on flooding are critical environmental concerns. Our methodology harmonizes climate and flood datasets, utilizing a neural network architecture and advanced optimization techniques. The compiled model successfully predicts climate patterns and flood events, shedding light on their potential interrelationships. This research offers a novel approach to studying climate and flooding, with significant implications for climate change mitigation and flood risk management.