Analysis on Shallow Groundwater Level Rule Based on Wavelet and Empirical Mode Decomposition
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摘要: 时频分析法是研究时变非平稳数据的优良方法。地下水水文过程作为典型的非线性水文过程，其水位数据序列表现出强烈的非平稳性，且存在明显的观测噪声。应用小波分析（Wavelet Analysis，WA)和经验模态分解（EMD)技术对安徽省阜阳市亳县翁庄的浅层地下水位观测数据（1975年1月~2005年12月)进行多尺度分析，识别地下水水位变化周期，并参考小波变换的随机模拟方法，提出EMD随机模拟方法，对该区的地下水水位序列进行随机模拟计算。结果表明：EMD分解方法适用于研究地下水水位序列的变化趋势和周期。Abstract: Temporal frequency analysis is a good method to research the time-varying non-stationary data.As a typical non-linear hydrological process, groundwater hydrological process shows that its level data is severely non-stationary and has the obvious observation noise. With WA (Wavelet Analysis) and EMD (Empirical Mode Decomposition), it analyzes the shallow groundwater level observation data (1975.1 -2005.12) of Wong village of Bo county in Fuyang city of Anhui province, discovers the groundwater level change period, by the wavelet stochastic simulation, it also puts forward the EMD stochastic simulation, and simulates the groundwater level sequence of test area. The result shows that the EMD is suitable for researching the groundwater level sequence change trend and period.
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