【摘要】 针对径流时间序列演变趋势及周期分析精度有限的问题,给出一种基于复合小波变换的径流时间序列周期分析方法.即通过采用dmey小波对径流序列进行分解,再对生成的高频与低频子序列分别采用cmor1-1复小波分别求其等值线、小波方差,从而进行径流序列的变化趋势及周期分析.实验结果表明:与单纯对径流序列直接采用复小波多尺度分析相比,基于复合小波变换的方法可获得更为深入精确的周期分析结果.更多还原

【Abstract】 In order to improve the analysis accuracy of the evolution trend and cycle of runoff time series, a method based on multiplewavelet transform is proposed in this paper. Firstly, the runoff series is decomposed by the demy wavelet; then, the contour and waveletvariance diagrams of the high and low frequency sub-sequences are drown by using cmor1-1 complex wavelet respectively; lastly, thechange trend and cycle of the runoff series are analyzed. Compared with the method of pure wavelet multi-scale analysis, the experimentalresults show that the method based on multiple wavelet transform can obtain better cycle analysis.更多还原