arXiv · 2302.10981
Earthquake magnitude distribution and aftershocks: a statistical geometry explanation
Abstract
The emergence of a power-law distribution for the energy released during an earthquake is investigated in several models. Generic features are identified which are based on the self-affine behavior of the stress field prior to an event. This field behaves at large scale as a random trajectory in 1 dimension of space and a random surface in 2 dimensions. Using concepts of statistical mechanics and results on the properties of these random objects, several predictions are obtained and verified, in particular the value of the power-law exponent of the earthquake energy distribution (the Gutenberg-Richter law) as well as a mechanism for the existence of aftershocks after a large earthquake (the Omori law).
Explore related subjects
Keep this discovery
François Pétrélis, Kristel Chanard, Alexandre Schubnel, Takahiro Hatano. 2023-02-09. Earthquake magnitude distribution and aftershocks: a statistical geometry explanation. https://doi.org/10.1103/physreve.107.034132
Cite the original work for its findings. Save a collection to share your selection of sources.