水文时间序列的子波分析法

Wavelet Analysis of Hydrological Time Series

在水文时间序列分析中引入了子波变换法，通过对水文时间序列的离散子波变换（ＤＷＴ），给出了计算水文过程变化特征的信息量系数（ＩＣＦ）的方法，比较了表征水文过程变化特征的三种指标，即不均匀系数，信息量系数与分维。结果表明：三种指标分别从不同角度表征了水文过程的变化特征，实际应用中可以依据需要选用某种指标进行比较研究。

A new technique, wavelet transform, is introduced to analyze hydrological time series. By using discrete wavelet transform, we evaluated the information cost function (ICF), and compared the three indexes: uniformity coeffecient, information cost function, and fractal dimension. The results show that the three indexes demonstrate the fluctuation in hydrological process from different points of view, and when measuring the fluctuation we should select an index in according with demand.