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Updated: Jul 28, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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探索基于相似性搜索的数据驱动框架,用于多步前进的洪水预测

Kangling Lin1, Hua Chen1, Yanlai Zhou1

  • 1State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.

The Science of the total environment
|May 28, 2023
PubMed
概括

这项研究介绍了一种基于相似性搜索的新型时空卷积网络编码解码器 (S-TCNED) 模型,用于准确的,多步骤的洪水预测. 通过从类似的历史事件中学习,S-TCNED模型提高了对大洪水的可靠性,即使是在极端条件下.

关键词:
编码器-解码器 (ED) 的使用预测洪水可能会发生.降雨与下水的关系是下雨与下水的关系.寻找相似性的搜索时间卷积网络 (TCN)

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