小波分析在水文序列趋势分析中的应用

The Application of Wavelet Analysis in Hydrological Sequence Trend Analysis

根据水文时间序列的频率分布特性 ,运用小波分析将不同频率成分组成时间序列按尺度分解成低频和高频成分 ,然后依据小波系数的重构原理还原时间序列的趋势成分 ,从而可以判断水文时间序列的趋势变化 .以黄河上中下游四个水文站的实测年径流序列为例进行了研究 。

We decompose the hydrological sequence made of different frequencies into the low and high frequencies in the multi resolution analysis according to the characteristic of hydrological sequence frequencies and then restore the deoxidize trend components according to the reconstruct principle of wavelet coefficients, in order to judge the hydrological sequence trend. The result of a study based on the gauged yearly flow of the Yellow River, shows that the mode is feasible.