Statistics – Computation
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3602308l&link_type=abstract
Geophysical Research Letters, Volume 36, Issue 2, CiteID L02308
Statistics
Computation
1
Seismology: Earthquake Interaction, Forecasting, And Prediction (1217, 1242), Nonlinear Geophysics: Self-Organized Criticality, Mathematical Geophysics: Prediction (3245, 4263), Mathematical Geophysics: Persistence, Memory, Correlations, Clustering (3265, 7857), Computational Geophysics: Cellular Automata
Scientific paper
We analyze the Hurst exponent H and a power-law exponent B obtained from frequency-size distributions of avalanche events in the long-range connective sandpile (LRCS) model and study the relation between those two exponents. The LRCS model is introduced by considering the random distant connection between two separated cells. We find that the B-values typically reduce prior to large avalanches while the H-values increase. Both parameters appear precursory phenomena prior to large avalanche events. Most importantly, we show that the LRCS model can demonstrate an interesting negative correlation between the B- and H-values, which has been frequently implied in observations of seismicity and firstly verified in our present simulations.
CHen Chien-Chih
Hasumi Tomohiro
Hsu Han-Lun
Lee Ya-Ting
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