Enhancing River Channel Dimension Estimation: A Machine Learning Approach Leveraging the National Water Model, Hydrographic Networks, and Landscape Characteristics

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 4
• Main Authors: Modaresi Rad, Arash, Johnson, J. Michael, Ghahremani, Zahra, Coll, James, Frazier, Nels
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2024
• Subjects: at a station hydraulic geometry; hydrofabric; machine learning; National water model; river characteristics; river dimension

Knowledge of bankfull hydraulic geometry represents an essential requirement for various applications, including accurate flood prediction, hydrological routing, river behavior analysis, river management and engineering practices, water resource management, and beyond. Our work builds upon an extens...