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Updated: Jun 8, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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通过混合深度学习和水文建模,提高数据稀疏地区的排水预测

Songliang Chen1,2,3, Youcan Feng4,5,6, Hongyan Li7,8,9

  • 1Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.

Scientific reports
|November 3, 2024
PubMed
概括

这项研究通过使用混合Informer和WRF-Hydro模型,提高了数据稀缺地区的洪水预测. 综合方法显著提高了排水预测的准确性,这对于气候引起的极端天气事件至关重要.

关键词:
数据分散的区域数据.深度学习是一种深度学习.预测洪水发生情况.全球预测系统全球预测系统排水预测预测排水预测在WRF-水电频段中,可以使用WRF.

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