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Updated: Jul 16, 2025

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一个深度学习模型用于重建长江流域百年水库变化

Jielong Wang1, Yunzhong Shen1, Joseph L Awange2

  • 1College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, PR China.

The Science of the total environment
|September 13, 2023
PubMed
概括

一个新的深度学习模型,RecNet,重建了长江流域一个世纪的储水变化,揭示了极端气候事件的脆弱性,并为水资源管理策略提供了信息.

关键词:
气候指数是指气候指数.卷积神经网络是一种卷积神经网络.极端水文事件 极端水文事件格雷斯 (GRACE) 是一个恩典.总的水储异常情况.

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