Nonlinear Volatility of River Flux Fluctuations

Abstract

We study the spectral properties of the magnitudes of river flux increments, the volatility. The volatility series exhibits (i) strong seasonal periodicity and (ii) strongly power-law correlations for time scales less than one year. We test the nonlinear properties of the river flux increment series by randomizing its Fourier phases and find that the surrogate volatility series (i) has almost no seasonal periodicity and (ii) is weakly correlated for time scales less than one year. We quantify the degree of nonlinearity by measuring (i) the amplitude of the power spectrum at the seasonal peak and (ii) the correlation power-law exponent of the volatility series.

5 revtex pages, 6 pages

References in corpus (2)

• Characterization of Sleep Stages by Correlations of Heartbeat Increments
• A Stochastic Model of Human Gait Dynamics

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