Statistics of seismic cluster durations
arXiv:1708.06970
Abstract
Using the standard ETAS model of triggered seismicity, we present a rigorous theoretical analysis of the main statistical properties of temporal clusters, defined as the group of events triggered by a given main shock of fixed magnitude m that occurred at the origin of time, at times larger than some present time t. Using the technology of generating probability function (GPF), we derive the explicit expressions for the GPF of the number of future offsprings in a given temporal seismic cluster, defining, in particular, the statistics of the cluster's duration and the cluster's offsprings maximal magnitudes. We find the remarkable result that the magnitude difference between the largest and second largest event in the future temporal cluster is distributed according to the regular Gutenberg-Richer law that controls the unconditional distribution of earthquake magnitudes. For earthquakes obeying the Omori-Utsu law for the distribution of waiting times between triggering and triggered events, we show that the distribution of the durations of temporal clusters of events of magnitudes above some detection threshold νhas a power law tail that is fatter in the non-critical regime than in the critical case n=1. This paradoxical behavior can be rationalised from the fact that generations of all orders cascade very fast in the critical regime and accelerate the temporal decay of the cluster dynamics.
arXiv comment45 pages, 15 figures
References in corpus (15)
- Sub-critical and Super-critical Regimes in Epidemic Models of Earthquake Aftershocks
- Is Earthquake Triggering Driven by Small Earthquakes?
- Bath's law Derived from the Gutenberg-Richter law and from Aftershock Properties
- "Universal" Distribution of Inter-Earthquake Times Explained
- Importance of direct and indirect triggered seismicity
- Theory of Earthquake Recurrence Times
- Predictability in the ETAS Model of Interacting Triggered Seismicity
- Magnitude Uncertainties Impact Seismic Rate Estimates, Forecasts and Predictability Experiments
- Power Law Distributions of Offspring and Generation Numbers in Branching Models of Earthquake Triggering
- Anomalous Power Law Distribution of Total Lifetimes of Branching Processes Relevant to Earthquakes
- Vere-Jones' Self-Similar Branching Model
- Nonlinear theory and tests of earthquake recurrence times
- Renormalization of the ETAS branching model of triggered seismicity from total to observable seismicity
- Power Law Distributions of Seismic Rates
- Earthquake Forecasting Based on Data Assimilation: Sequential Monte Carlo Methods for Renewal Processes