Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin

Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin

Streamflow prediction is vital for effective water resource management, enabling a better understanding of hydrological variability and its response to environmental factors. This study presents a spatio-temporal graph neural network (STGNN) model for streamflow prediction in the Upper Colorado Rive...

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Bibliographic Details
Main Authors: Akhila Akkala, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh, Ayman Nassar
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Hydrology
Subjects:
streamflow prediction
machine learning
graph network
temporal and spatial characteristics
Upper Colorado River Basin
Online Access:https://www.mdpi.com/2306-5338/12/3/60
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