DocumentCode
1659218
Title
The Application of Wavelet Analysis in Hydrological Sequence Trend Analysis
Author
Xue Xiao-jie ; Huang Si-xia ; Huang Qiang ; Lei Yan
Author_Institution
Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xian Univ. of Technol., Xian
fYear
2008
Firstpage
3495
Lastpage
3498
Abstract
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.
Keywords
hydrology; rivers; time series; wavelet transforms; Yellow River; annual runoff; hydrological stations; hydrological time sequence; multiresolution analysis; reconstruction theory; wavelet coefficient; Environmental factors; Frequency; Hydrologic measurements; Hydrology; Multiresolution analysis; Rivers; Time series analysis; Water resources; Wavelet analysis; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.377
Filename
4535257
Link To Document