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Titlebook: Computational Earthquake Science Part I; Andrea Donnellan,Peter Mora,Xiang-chu Yin Book 2004 Springer Basel AG 2004 Dynamics.Earthquake.co

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Critical Sensitivity in Driven Nonlinear Threshold Systemslays catastrophe transition and sample-specificity, which results in difficulty of rupture prediction. Our numerical simulations indicate that critical sensitivity might be a common precursor of catastrophe transition and thus give a clue to catastrophe prediction. In this paper we present an analyt
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Intermittent Criticality and the Gutenberg-Richter Distributionptions of seismicity in terms of statistical physics. Most aspects of these works are encompassed by a concept called intermittent criticality in which a region alternately approaches and retreats from a critical -point. From this perspective, the evolution of seismicity in a region is described in
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Using Eigenpattern Analysis to Constrain Seasonal Signals in Southern Californiathis system translates into a similar complexity in the surface expression of the underlying physics, including deformation and seismicity. Here we show that a new pattern dynamic methodology can be used to define a unique, finite set of deformation patterns for the Southern California Integrated GP
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Computational Earthquake Science Part I978-3-0348-7873-9Series ISSN 2504-3625 Series E-ISSN 2504-3633
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