Bath's law, correlations and magnitude distributions
Bogdan Felix Apostol

TL;DR
This paper explores the statistical relationships and correlations in earthquake magnitudes, deriving models to explain Bath's law and the distribution of earthquake pairs, including aftershocks and foreshocks.
Contribution
It introduces a geometric-growth model for earthquake energy accumulation and links magnitude differences to seismic fluctuations, providing new insights into Bath's law.
Findings
The standard deviation of magnitude differences estimates the average difference between main shocks and largest aftershocks.
Moderate-magnitude doublets can be considered as Bath pairs.
Dynamical correlations may explain the roll-off in Gutenberg-Richter distributions.
Abstract
The empirical Bath's law is derived from the magnitude-difference statistical distribution of earthquake pairs. The pair distribution related to earthquake correlations is presented. The single-event distribution of dynamically correlated earthquakes is derived, by means of the geometric-growth model of energy accumulation in the focal region. The dynamical correlations may account, at least partially, for the roll-off effect in the Gutenberg-Richter distributions. The seismic activity which accompanies a main shock, including both the aftershocks and the foreshocks, can be viewed as fluctuations in magnitude. The extension of the magnitude difference to negative values leads to a vanishing mean value of the fluctuations and to the standard deviation as a measure of these fluctuations. It is suggested that the standard deviation of the magnitude difference is the average difference in…
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Taxonomy
TopicsEarthquake Detection and Analysis · Complex Systems and Time Series Analysis · Statistical Mechanics and Entropy
