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Updated: Jul 2, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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基于水文相似性理论和机器学习技术,提前实时纠正洪水预报的错误

Peng Shi1, Hongshi Wu2, Simin Qu2

  • 1College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Cooperative Innovation Center for Water Safety & Hydro Science, Nanjing 210098, China.

Environmental research
|February 28, 2024
PubMed
概括

一个新的基于水文相似性的校正 (HSBC) 框架提高了实时洪水预测的准确性. 这种方法检索历史错误以提高预测,优于传统的自动回归模型,特别是在洪水峰值.

关键词:
基于嵌入的次序匹配方法.纠正错误 纠正错误 纠正错误 纠正错误水文上的相似性机器学习技术 机器学习技术实时预测洪水情况.

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