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Updated: Jun 27, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
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A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

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在LSTM中使用一维CNN来减少输入数据大小,以提高每小时降雨-流水建模的计算效率和准确性

Kei Ishida1, Ali Ercan2, Takeyoshi Nagasato3

  • 1International Research Organization for Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan; Center for Water Cycle, Marine Environment, and Disaster Management, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan.

Journal of environmental management
|April 28, 2024
PubMed
概括

一个新的CNNSLSTM深度学习模型提高了每小时降雨-流水模型的准确性. 这种方法改善了高流量和峰值流量估计,为洪水管理提供了好处.

关键词:
卷积神经网络 (CNN) 是一种神经网络.每小时的时间尺度.长时间短期内存 (LSTM) 网络降雨流量模型的建模.雪占主导地位的流域.

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