Empirical Evidence of Hurst Exponent Estimation Wavelet Based

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In this paper, we study long-range dependence of hydrological records with high frequent and massive data set. For detecting breakpoints, we apply the Evolutionary Wavelet Spectrum (EWS) to provide a segmentation of the original time series. And rescaled range analysis (R/S) for estimating the Hurst exponent that describe the long-range dependence phenomenon are used. The results affirm that the hydrological records have long-range dependent (LRD) behaviors.

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1668-1671

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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