Effect of Trends on Detrended Fluctuation Analysis of Precipitation Series | Zendy

Jianhai Yue | Zendy; Xiaojun Zhao | Zendy; Pengjian Shang | Zendy

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Effect of Trends on Detrended Fluctuation Analysis of Precipitation Series

Author(s) -

Jianhai Yue,

Xiaojun Zhao,

Pengjian Shang

Publication year - 2010

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2010/749894

Subject(s) - detrended fluctuation analysis , series (stratigraphy) , scaling , crossover , multifractal system , precipitation , statistical physics , mathematics , beijing , statistics , econometrics , physics , computer science , meteorology , mathematical analysis , fractal , geology , china , artificial intelligence , paleontology , geometry , law , political science

We use detrended fluctuation analysis (DFA) method to detect the long-range correlation and scaling properties of daily precipitation series of Beijing from 1973 to 2004 before and after adding diverse trends to the original series. The correlation and scaling properties of the original series are difficult to analyze due to existing crossovers. The effects of the coefficient and the power of the added trends on the scaling exponents and crossovers of the series are tested. A crossover is found to be independent of the added trends, which arises from the intrinsic periodic trend of the precipitation series. However, another crossover caused by the multifractal vanishes with the increasing power of added trends

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