A Brownian Model for Recurrent Earthquakes

By M. Matthews, William Ellsworth, P. Reasenberg. 2002

435 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Geophysics

View Paper: https://www.semanticscholar.org/paper/58532037b6e3fff9561344a562aeecea280365d8

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Citations in the corpus

Introduction to special section: Stress transfer, earthquake triggering, and time‐dependent seismic hazard (2005, methodology): “…distributions have been employed to characterize recurrence under ambient conditions, with one of the most recent being the Brownian passage time model [Matthews et al., 2002] that attempts to represent quantitatively temporal fluctuations in loading and relaxation during the interseismic period.”
Statistical physics of fracture, friction, and earthquakes (2011, methodology): “Quasiperiodic earthquake recurrence has been used for longterm forecasts of earthquakes (Working Group on California Earthquake Probabilities, 1995; Matthews et al., 2002).”
Tohoku earthquake: a surprise? (2011, background): “It is commonly believed that after a large earthquake, its focal area “has been de-stressed” (see, for example, Matthews et al., 2002), thus lowering the probability of a new large event in this place, though it can increase in nearby zones.”
Layered Seismogenic Source Model and Probabilistic Seismic-Hazard Analyses in Central Italy (2006, methodology): “The time dependency has been associated with the seismogenic boxes only, using the formulation of Brownian passage-time (BPT) distributions, one of the most physically motivated models that has appeared in recent literature (Matthews et al., 2002).”
A Summary of Previous Working Groups on California Earthquake Probabilities (2007, methodology): “The BPT model, which has been discussed extensively in the literature (e.g., Kagan and Knopoff, 1987; Matthews et al., 2002), is a renewal model where a Brownian-noise time series is added to a linear-ramp function, and failure, or an event, is defined by the time at which the combined function…”
Monte Carlo Method for Determining Earthquake Recurrence Parameters from Short Paleoseismic Catalogs: Example Calculations for California (2008, positive): “where f(t) can be any distribution, such as lognormal [e.g., Nishenko and Buland, 1987], Weibull [Hagiwara, 1974], or Brownian Passage Time (inverse Gaussian) [Kagan and Knopoff, 1987; Matthews et al., 2002 ].”