• DocumentCode
    1700633
  • Title

    The study of river runoff long memory based on the rescaled variance statistic

  • Author

    Dongyong Sun ; Qiang Huang ; Yimin Wang

  • Author_Institution
    Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´an Univ. of Technol., Xi´an, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    509
  • Lastpage
    511
  • Abstract
    An important issue in river runoff time series is the study of long memory phenomenon. Especially most of studies rely on a parameter known as Hurst index. Although a lot of methods have been introduced to deal with this problem, none of them is suitable for all time series. In this paper, a new method-the rescaled variance was presented and an example was given to study the river runoff long memory. The results show that the method can solve the problems of stability and short-term memory influence well, and a new method was provided for the study of long memory of river runoff time series.
  • Keywords
    hydrological techniques; rivers; Hurst index; rescaled variance statistic; river runoff long memory; river runoff time series; Correlation; Indexes; Rivers; Stability criteria; Stock markets; Time series analysis; Hurst index; V/S statistic; long memory; river runoff;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893055
  • Filename
    5893055