Machine Learning for Spatiotemporal Prediction of River Siltation in Typical Reach in Jiangxi, China

Machine Learning for Spatiotemporal Prediction of River Siltation in Typical Reach in Jiangxi, China

Accurate forecasting of river siltation is essential for ensuring inland waterway navigability and guiding sustainable sediment management. This study investigates the downstream reach of the Shihutang navigation power hub along the Ganjiang River in Jiangxi Province, China, an area characterized by...

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Bibliographic Details
Main Authors: Yong Fu, Jin Luo, Die Zhang, Lingjia Liu, Gan Luo, Xiaofang Zu
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Applied Sciences
Subjects:
river siltation
inland navigation
random forest
Ganjiang River
channel maintenance
Online Access:https://www.mdpi.com/2076-3417/15/15/8628
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