基于EMD分解的径流量预测模型

    Runoff Prediction Model Based on EMD

    • 摘要: 径流量是一个非线性、不稳定的时间序列数据。分析了经验模态分解和Hilbert-Huang转换的计算方法,构建了多尺度的预测模型,并以黄河高村站547个月的径流量数据为资料,探讨了应用该模型进行径流量预测的方法。

       

      Abstract: Runoff is the nonlinear and unstable time series data.It analyzes the Empirical Mode Decomposition (EMD)and Hilbert-Huang transformation calculation method,establishes multiscale prediction model.Based on runoff data of the Yellow River Gao village hydrologic station for 547 months,it also discusses the method of using this model to predict the runoff.

       

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