WD-WNN-LSTM组合模型在东北寒区河流水沙模拟中的应用
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作者单位:

1.天津大学;2.黑龙江省水文水资源中心佳木斯分中心;3.苏州大学;4.黑龙江省水文水资源中心

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TV142

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水利部重大科技项目(SKS-2022017)


Application of WD-WNN-LSTM Combined Model in Runoff and Sediment Simulation of Cold-region Rivers of Northeast China
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Affiliation:

1.Tianjin University;2.Jiamusi Branch Center of Heilongjiang Hydrological and Water Resources Center;3.Suzhou University;4.Soochow University;5.Heilongjiang Hydrological and Water Resources Center

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    摘要:

    为分析河流水沙演变规律、预测水沙变化趋势,根据典型河流年径流量、输沙量等水文站实测系列资料,建立适用于北方寒区河流特征的WD-WNN-LSTM组合模型,并将其结果与LSTM模型、WNN模型预测结果进行对比分析。研究表明:组合模型在年径流量与输沙量预测中较其他模型在准确率方面有较大提升,较适合东北寒区河流的水沙模拟。

    Abstract:

    In order to analyze the evolutional laws of river water and sediment in the cold region of Northeast China and predict the changing trend of water and sediment, according to the measured data of runoff and sediment of the hydrological stations, a compound WD-WNN-LSTM model suitable for the characteristics of rivers in the Northeast cold region was establish, and compared with LSTM model and WNN model. The study shows that, the compound model performs better on the accuracy of annual runoff and sediment prediction, which is suitable for the simulation of water and sediment of the rivers in the cold region of Northeast China.

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  • 收稿日期:2023-10-03
  • 最后修改日期:2024-05-09
  • 录用日期:2024-05-10
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