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Updated: Jan 14, 2026

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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一个物理知情的,独立于领域的数据驱动的洪水预测模型

Felix Schmid1, Leonie Müller1, Jorge Leandro1

  • 1Department of Civil Engineering, Chair of Hydromechanics and Hydraulic Engineering, Research Institute Water and Environment, University of Siegen, 57076 Siegen, Germany.

Water research
|October 19, 2025
PubMed
概括

这项研究引入了一种新的基于物理信息的数据驱动模型,用于实时预测雨水洪水淹水情况. 该系统在新地区提供准确的空间和时间水深预测,改进了传统方法.

关键词:
连续性和动力波浪损失.深度学习是一种深度学习.对未见的水域进行概括.基于物理学的神经网络.时间空间预测.城市洪水城市洪水

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