The Application of Wavelet Analysis in Hydrological Sequence Trend Analysis
(0) Based on the distribution characteristic of frequencies of hydrological time serial and wavelet analysis, the time serial made of different frequencies is decomposed into the low and high frequencies by scale. The trend composition of time sequence is resorted according to the reconstruction theory of wavelet coefficient, so that the trend of hydrological time sequence is judged. This paper studied the measured annual runoff sequence of four hydrological stations in the Yellow River. The result shows that it is feasible to apply multi-resolution analysis in analyzing hydrology time sequence tread.
wavelet analysis trend change time sequence Yellow River
XUE Xiao-jie HUANG Si-xia HUANG Qiang LEI Yan
Key Lab of Northwest Water Resources and Environment Ecology of MOE at Xi,an University of Technology Xi,an 710048,China
国际会议
上海
英文
3166-3169
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）