Flood risk prediction is a critical aspect of managing water resources and ensuring public safety. Advances in hydrological modeling have significantly enhanced our ability to predict and mitigate flood risk. This article reviews recent innovations in hydrological modeling techniques, including the integration of remote sensing data, machine learning algorithms and real-time monitoring systems. It examines how these innovations improve the accuracy of flood predictions, facilitates better flood risk management and explores future directions in hydrological modeling research.
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Hydrology: Current Research received 2843 citations as per Google Scholar report
