The Analysis of the Characteristics of Annual Runoff Series through Wavelet Coefficients

Abstract:

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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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$35.00

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