The Geometry of Flow: Advancing Predictions of River Geometry With Multi‐Model Machine Learning

Hydraulic geometry parameters describing river hydrogeomorphic relationships are critical for determining a channel's capacity to convey water and sediment which is important for flood forecasting. Although well‐established, power‐law hydraulic geometry curves have been widely used to understan...

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Bibliographic Details
Published in:	Water resources research 2024-10, Vol.60 (10), p.n/a
Main Authors:	Chang, Shuyu Y., Ghahremani, Zahra, Manuel, Laura, Erfani, Seyed Mohammad Hassan, Shen, Chaopeng, Cohen, Sagy, Van Meter, Kimberly J., Pierce, Jennifer L., Meselhe, Ehab A., Goharian, Erfan
Format:	Article
Language:	English
Subjects:	artificial intelligence Creeks & streams Curves data collection Datasets Depth Estimates Flood forecasting Flood management Flood predictions Flooding Floods Geometry Hydraulic geometry Hydraulics Hydrogeomorphology hydrology Learning algorithms Machine learning Neural networks Predictions Regional development riparian areas River channels river depth River discharge River flow river geometry river geomorphology river width Rivers sediments streams surface area water Water depth Water discharge watersheds Width
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