基于希尔伯特-黄变换与小波方法的径流序列分析

The study of runoff forecast by wavelet and Hilbert-Huang

将希尔伯特-黄变换方法用到黄河三门峡站的天然年径流水文的分析与识别中,分解得到不同尺度下的固有模态函数;与小波分解方法对比,仿真出的径流变化成分不仅在时域上,而且在频谱上把低频信号中奇异信号的局部变化刻画出来,并具有更加清晰的物理意义;为水文径流序列的演变模式研究提供了一种新的分析方法.

Hilbert-Huang was fit for non-linearity and non-stable sequence analytical method. This thesis used this method to analyze and recognize natural runoff hydrological sequence of Yellow River Sanmen Gorge Station, and get connatural mode function in different measure. To contrast with wavelet, the component of mutative runoff can describe the local change of unusual single in low frequency single not only in time but also in frequency , and had more explicit physics meaning ,moreover this thesis provided a new analytic method to hydrological sequence of evolvement mode research.