HR: 0800h
AN: NG11A-0173    [Abstracts]
TI: Evaluating Long-Range Correlations in Seismic Catalogs
AU: * Jimenez, A
EM: ajimene@uwo.ca
AF: University of Western Ontario, Department of Earth Sciences Biological & Geological Sciences, London, ON N6A 5B7, Canada
AU: Tiampo, K F
EM: ktiampo@seis.es.uwo.ca
AF: University of Western Ontario, Department of Earth Sciences Biological & Geological Sciences, London, ON N6A 5B7, Canada
AU: Posadas, A M
EM: aposadas@ual.es
AF: University of Almeria, Ctra. Sacramento s/n, Almeria, 04120, Spain
AB: Self-similarity and scaling phenomena are commonly found in seismicity. The identification of long-range dependence (LRD) in seismic catalogs, if it exists, would help us to understand how those time series are generated, and what physical mechanisms produce them. Despite its importance, though, LRD analysis is hindered by the difficulty of objectively identifying dependence and estimating its parameters unambiguously. LRD is defined for Hurst exponents greater than 1/2, and it assumes Gaussian statistics. The calculation of both the Hurst coefficient by means of R/S statistics or wavelet methods, and the scaling exponent evaluated through the Shannon entropy S(t) of the diffusion generated by the fluctuations of a time series (diffusion entropy analysis), provide a solution to determine whether the original time series is actually a Gaussian noise which represents LRD. Here we use those techniques in earthquakes catalogs from around the world.
DE: 4475 Scaling: spatial and temporal (1872, 3270, 4277)
SC: Nonlinear Geophysics [NG]
MN: 2007 Fall Meeting