Causes of watershed drought analyzed using explainable deep learning: a case study of the Fenhe River Basin

Causes of watershed drought analyzed using explainable deep learning: a case study of the Fenhe River Basin

This study predicted daily-scale drought for the Fenhe River (FHR) Basin and applied the explainable artificial intelligence (XAI) method to the model’s prediction results. Daily-scale drought prediction can provide more timely and detailed drought information, while deep learning interpretable meth...

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Bibliographic Details
Main Authors: Zixuan Chen, Xikun Wei, Guojie Wang, Yifan Hu, Haonan Liu, Jinman Zhang, Shuang Zhou, Zengbao Zhao, Yushan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Earth Science
Subjects:
drought
prediction
daily-scale
deep learning
explainable
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1543497/full
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https://www.frontiersin.org/articles/10.3389/feart.2025.1543497/full

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