Enhancing hydrological models predictions through Artificial Intelligence techniques

Description :

This research project aims to transform hydrological modeling by incorporating advanced AI methods and applying them specifically to Lebanese watersheds. It involves data collection, preprocessing, and the selection of suitable AI algorithms, followed by model training, rigorous evaluation, and the integration of real-time data. The project focuses on enhancing model accuracy and adaptability, ultimately providing precise hydrological predictions tailored to Lebanese watersheds for applications in water resource management, flood forecasting, and drought mitigation. This comprehensive approach seeks to revolutionize current practices in hydrology by harnessing the power of AI for more informed decision-making in the management of water resources and environmental planning in Lebanon.