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Computing Earthquake Probabilities on Global Scales

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Abstract

Large devastating events in systems such as earthquakes, typhoons, market crashes, electricity grid blackouts, floods, droughts, wars and conflicts, and landslides can be unexpected and devastating. Events in many of these systems display frequency-size statistics that are power laws. Previously, we presented a new method for calculating probabilities for large events in systems such as these. This method counts the number of small events since the last large event and then converts this count into a probability by using a Weibull probability law. We applied this method to the calculation of large earthquake probabilities in California-Nevada, USA. In that study, we considered a fixed geographic region and assumed that all earthquakes within that region, large magnitudes as well as small, were perfectly correlated. In the present article, we extend this model to systems in which the events have a finite correlation length. We modify our previous results by employing the correlation function for near mean field systems having long-range interactions, an example of which is earthquakes and elastic interactions. We then construct an application of the method and show examples of computed earthquake probabilities.

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Acknowledgments

Research by JBR and JRH was performed with funding from NASA NNX12AM22G to the University of California, Davis.

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Correspondence to John B. Rundle.

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Holliday, J.R., Graves, W.R., Rundle, J.B. et al. Computing Earthquake Probabilities on Global Scales. Pure Appl. Geophys. 173, 739–748 (2016). https://doi.org/10.1007/s00024-014-0951-3

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  • DOI: https://doi.org/10.1007/s00024-014-0951-3

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