Paper Title:
The Analysis of the Characteristics of Annual Runoff Series through Wavelet Coefficients
  Abstract

A runoff-sequence contains many frequencies, from the point of the wavelet transfor- mation, they are included in different wavelet coefficients. Therefore, when a smooth wavelet function is used, changes in multi-time scale and jump characteristics of precipitation time series have been probed the tendency. Wavelet transform can clearly demonstrate all kinds of characteristics of precipitation runoff series: the strength and distribution of time scales. The monthly data used in this paper comes from Guidei hydrology station of Yellow River (1919-1994) and Yichang hydrology station of Yangtze River (1946-1976), and the yearly ones from Yichang hydrology station (1882-1984).

  Info
Periodical
Advanced Materials Research (Volumes 113-116)
Edited by
Zhenyu Du and X.B Sun
Pages
575-578
DOI
10.4028/www.scientific.net/AMR.113-116.575
Citation
S. Y. Liu, "The Analysis of the Characteristics of Annual Runoff Series through Wavelet Coefficients", Advanced Materials Research, Vols. 113-116, pp. 575-578, 2010
Online since
June 2010
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