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中文摘要：
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.
英文摘要：
In order to improve the analysis accuracy of the evolution trend and cycle of runoff time series,a method based on multiple wavelet transform is proposed in this paper.Firstly,the runoff series is decomposed by the demy wavelet;then,the contour and wavelet variance diagrams of the high and low frequency sub-sequences are drown by using cmor1-1complex wavelet respectively;lastly,the change trend and cycle of the runoff series are analyzed.Compared with the method of pure wavelet multi-scale analysis,the experimental results show that the method based on multiple wavelet transform can obtain better cycle analysis.
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