Abstract
The multivariate time series of the correlated seismicity rates newly obtained by sparse modeling in the global and regional systems are potential indicators of seismicity dynamics. The sets of these parameters with successive time are mapped and imaged as attractors in the phase diagram, introducing possibly the minimal dynamic equations.
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References
Bak P, Tang C (1989) Earthquakes as a self-organized critical phenomenon. J Geophys Res 94:15635–15637
Brown SR, Scholz CH, Rundle JB (1991) A simplified spring-block model of earthquakes. Geophys Res Lett 18:215–218
Ito K, Matsuzaki M (1990) Earthquakes as self-organized critical phenomena. J Geophys Res 95:6853–6860
Kuramoto Y (2003) Chemical Oscillations, Waves, and Turbulence, Dover, 340Â p
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Toriumi, M. (2021). Model of Seismicity Dynamics from Data-Driven Science. In: Global Seismicity Dynamics and Data-Driven Science. Advances in Geological Science. Springer, Singapore. https://doi.org/10.1007/978-981-15-5109-3_8
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DOI: https://doi.org/10.1007/978-981-15-5109-3_8
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