作者: Erhui Li , Xingmin Mu , Guangju Zhao , Peng Gao
DOI: 10.3390/W7041670
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摘要: Multifractal detrended fluctuation analysis (MFDFA) can provide information about inner regularity, randomness and long-range correlation of time series, promoting the knowledge their evolution regularity. The MFDFA are applied to detect correlations multifractal behavior streamflow series at four hydrological stations (Toudaoguai, Longmen, Huangfu Ganguyi) in main channel tributaries Yellow River. results showed that there was one crossover point log−log curve function Fq(s) versus s. location for is approximately year, implying an unchanged annual periodicity within variations. periodical feature removed by using seasonal trend decomposition based on locally weighted regression (STL). All decomposed were characterized long-term persistence study areas. Strong dependence generalized Hurst exponent h(q) q exhibited River basin. reduction shuffled multifractality responsible properties, as well probability density series.