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FF ML by khairul.basharkhan97 is a document available to read on EtoBox.

This study investigates reservoir-based flood forecasting using deep learning (DL) and machine learning (ML) models in the Han River Basin, South Korea, to enhance prediction accuracy and lead time for flood warnings. It compares the performance of various models, finding that RF and GRU outperformed others in specific scenarios, and proposes a two-step approach for effective flood response. The research aims to improve decision-making for urban flood management amidst increasing climate-induced flood risks

Author

khairul.basharkhan97

Language

EN