Results 61 to 70 of about 5,920,802 (202)
Abstract The 2025 Santorini–Amorgos seismic crisis in Greece had an exceptionally large number and sustained rate of moderate‐sized earthquakes. We used a machine‐learning‐based earthquake monitoring workflow to detect and relocate 66,109 earthquakes and interpret the results in the context of global analogs.
Xing Tan +4 more
wiley +1 more source
After the Tohoku earthquake in 2011, we observed that aftershocks tended to occur in a wide region after such a large earthquake. These aftershocks resulted in secondary damage or delayed rescue and recovery activities.
Byunghyun Choi +3 more
doaj +1 more source
Hazard Model: Epidemic-Type Aftershock Sequence (ETAS) Model for Hungary
In this article we present a space–time epidemic-type aftershock sequence (ETAS) model for the area of Hungary, motivated by the goal of its application in insurance risk models.
Péter Szabó +2 more
doaj +1 more source
Abstract Recent advances in deep‐learning‐based earthquake detection have revolutionized seismology, producing high‐resolution catalogs complete down to very low magnitudes. While these data sets offer an unprecedented view of seismic triggering, their massive scale and inherent short‐term incompleteness pose a major challenge for traditional ...
P. Bountzis, G. Petrillo, E. Lippiello
wiley +1 more source
An Analysis of the 2008 Ms 8.0 Wenchuan Earthquake’s Aftershock Activity
We investigated the magnitude–frequency relationship and decay pattern of an aftershock sequence using data from the 2008 Wenchuan earthquake. We analyzed the spatial variations in aftershock activity parameters b and p.
Haoyu Wu, Weijin Xu, Xia Wang
doaj +1 more source
The Centenary of the Omori Formula for a Decay Law of Aftershock Activity.
The Omori formula n(t)=K(t+c)-1 and its modified form n(t)=K(t+c)-P have been successfully applied to many aftershock sequences since the former was proposed just 100 years ago. This paper summarizes studies using these formulae. The problems of fitting these formulae and related point process models to observational data are discussed mainly.
Utsu, Tokuji +3 more
openaire +2 more sources
Multifractal Omori law for earthquake triggering: new tests on the California, Japan and worldwide catalogues [PDF]
The Multifractal Stress-Activated (MSA) model is a statistical model of triggered seismicity based on mechanical and thermodynamic principles. It predicts that, above a triggering magnitude cut-off $M_0$, the exponent $p$ of the Omori law for the seismic decay of aftershocks is a linear increasing function $p(M) =a M+b$ of the main shock magnitude $M$.
Ouillon, G. +2 more
openaire +3 more sources
“I Wish I Had Better Answers”: Organizational Ignorance in US Criminal Courts
ABSTRACT Systems of monetary sanctions in US criminal courts present an opportunity for furthering the sociological understanding of complex and consequential organizations. We examine whether and how court actors across eight states understand the organizational processes supporting the fiscal logic of legal financial obligations (LFOs).
Sarah K. S. Shannon +3 more
wiley +1 more source
Abstract Statistical earthquake forecasting models, such as the Epidemic‐type Aftershock Sequence (ETAS), embed decades of empirical knowledge and assumptions about earthquake triggering, clustering, and catalog completeness. In contrast, neural spatio‐temporal point process (STPP) models often treat seismicity as generic spatiotemporal data without ...
Weixi Tian +3 more
wiley +1 more source
Geometric Moment Modulated and Maximum Entropy Informed Earthquake + Afterslip Sequences
Abstract Synthetic earthquake sequences may be of interest for comparisons with seismicity and afterslip evolution from instrumental observations and deeper time paleoseismic event histories, as well as for forecasting purposes. Here, we describe a constructed method, independent of continuum mechanics, for generating long‐duration earthquake and ...
Brendan Meade
wiley +1 more source

