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中文摘要：
利用小波变换对年均径流量时间序列的多时间尺度变化特征进行了分析，小波分析不仅能识别年径流的主要周期，而且还能给出其时频局部化结构，很容易观察出各种时间尺度强弱变化、分布和突变点．以甘肃省洮河岷县站（1957—1998年）年平均径流量为基本资料，计算分析表明，其径流量时间序列的时间尺度在时间域上分布不均匀，具有显著的局部化特征；不同时间尺度的丰枯阶段不同，因此径流丰枯变化与时间尺度大小有着紧密的联系，同时还分析出了年均径流量具有2a、9a左右、22a和32a左右的主要周期，其中22a为第一主周期．
英文摘要：
Multi-time scales of the annual average runoff time series have been analyzed with Morlet wavelet transform. The wavelet analysis can recognize the major periods, give the structure of time-frequency localized and easily make out all kinds of characteristics of runoff time scales： the change of strength, distribution of time scales and jump points. Based on the data of the annual average runoff time series of Minxian Station during 1957 and 1998 in Gansu Province, the analysis shows that the time scales of runoff time scales which have obvious local features are uneven in time domain. Because of the close connection between the change of runoff and time scales, different time scales have different stages of wet or dry. Meanwhile,the analysis has given the main period which is 2 a,9 a,22 a and about 32 a periods,and the 22 a is the first of all.
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