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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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机器学习和物理建模的合用于预测收获量级的排水量

Sergio Zubelzu1, Abdulmomen Ghalkha2, Chaouki Ben Issaid2

  • 1Departamento de Ingeniería Agroforestal, Universidad Politécnica de Madrid, Madrid, Spain.

Journal of environmental management
|February 20, 2024
PubMed
概括

这项研究结合了物理模型和数据驱动模型,以预测城市水域的流水. 深度神经网络 (DNN) 显示出卓越的性能,特别是当与辅助数据增强时,推进了水文建模.

关键词:
捕捞区是一个捕捞区.水文学的水文学机器学习是机器学习.物理建模物理建模排水过程中的排水.

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