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

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

Abstract 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...

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Bibliographic Details
Main Authors: Shuyu Y. Chang, Zahra Ghahremani, Laura Manuel, Seyed Mohammad Hassan Erfani, Chaopeng Shen, Sagy Cohen, Kimberly J. Van Meter, Jennifer L. Pierce, Ehab A. Meselhe, Erfan Goharian
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Water Resources Research
Subjects:
river geomorphology
river geometry
river width
river depth
hydrology
machine learning
Online Access:https://doi.org/10.1029/2023WR036733
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https://doi.org/10.1029/2023WR036733

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