Deploying the Power of Machine Learning and Near Real Time Modeling for Stage Forecasting in Streams
Forecasting stream flows and flood depths is an essential task in flood management and water resource planning. Hydrologic/hydraulic simulation models or data-driven approaches can be used to generate these real-time predictions. Modern advances in artificial intelligence and state-of-the-art machine learning (ML) techniques have provided new opportunities for quicker streamflow prediction processes with more efficient and […]
