• 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