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Updated: May 14, 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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多时河流排放预测:综合环境管理和洪水控制的新框架

Victor Joubier1, Isa Ebtehaj2, Afshin Amiri2

  • 1Department of Civil Engineering, University of Ottawa, 161 Louis Pasteur Private, Ottawa, ON, K1N 6N5, Canada; École Nationale du Génie de l'eau et de l'environnement de Strasbourg, 1 Cr des Cigarières, Rue de la Krutenau, 67000, Strasbourg, France.

Journal of environmental management
|April 25, 2025
PubMed
概括

先进的通用群组数据处理方法 (AUGMDH) 模型显著提高了河流流量排放估计的准确性. 这种新方法在每日,平均月度和最大月度流量预测方面优于卷积神经网络 (CNN) 模型.

关键词:
数据处理的高级通用组方法 (AUGMDH)卷积神经网络 (CNN) 是一种神经网络.每日流量 每日流量深度学习是一种深度学习.每月最大的流量一个月的平均流量可靠性分析可靠性分析泰勒图是泰勒的图表.不确定性分析不确定性分析水资源管理水资源的管理.

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