Journal
WATER RESOURCES MANAGEMENT
Volume 28, Issue 12, Pages 3891-3903Publisher
SPRINGER
DOI: 10.1007/s11269-014-0715-y
Keywords
Runoff; Detrended fluctuation analysis; Long-range correlation; Multifractal
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Funding
- National Natural Science Foundation of China [51379080]
- Fundamental Research Funds for the Central Universities [2014TS152]
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An improved multifractal detrended fluctuation analysis(MF-DFA) method is applied to analyze the long-term monthly runoff records of a hydrological station in the Yangtze River with seasonal trend eliminated, through which the long-range correlation and the multifractal characteristics have been found. The multifractal spectrum has been fitted by a generalized expression of the multiplicative cascade model, and the results show that the monthly runoff series has strong multifractal characteristics. Comparing the results for the original runoff series with those of shuffled and surrogate series, it concludes that the multifractal characteristics of the monthly runoff time series is due to the broadness of both the probability density function and long-range correlation, and the broadness of the probability density function is dominant.
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