Dynamic and stochastic models of the evolution of aftershocks
A.V. Guglielmi

TL;DR
This paper reviews the history of aftershock modeling, introduces a generalized Omori law with additional parameters, and develops stochastic differential equations to better simulate the variability and dynamics of aftershock sequences.
Contribution
It presents a generalized algebraic law for aftershock frequency and introduces a stochastic Langevin equation for more realistic modeling of aftershock fluctuations.
Findings
Generalized Omori law with extra parameter improves data fit.
Logistic differential equation models the average aftershock decay.
Stochastic Langevin equation captures fluctuations in aftershock activity.
Abstract
This paper is devoted to the theory of aftershocks. The history of discovery of the Omori law is briefly described, the initial formulation of the law is given in the form of an algebraic formula describing the decrease in the frequency of aftershocks over time. An important generalization of the Oiori formula which is widely used in modern seismology is presented. The generalized law is also expressed by an algebraic formula, but it contains an additional parameter, which makes it possible to more flexibly approximate the observational data. The alternative approach to the theoretical description of aftershocks is to use the differential evolution models. To simulate the averaged dynamics of aftershocks, it is proposed the Verhulst differential equation, also known as the logistic equation. It is shown that the decrease in the frequency of aftershocks with time at the first stage of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsearthquake and tectonic studies · Earthquake Detection and Analysis · High-pressure geophysics and materials
