Results 71 to 80 of about 2,665,652 (228)
Global Medium-Term Earthquake Forecasting with Every Earthquake a Precursor According to Scale
GeosciencesThe “Every Earthquake a Precursor According to Scale” (EEPAS) model uses minor earthquakes in a catalogue to forecast major earthquakes, based on the precursory scale increase phenomenon and associated predictive scaling relations. It has previously been
Sepideh J. Rastin, David A. Rhoades
doaj +1 more source
A review and new insights on the estimation of the b-valueand its uncertainty
Annals of Geophysics, 2003 The estimation of the b-value of the Gutenberg-Richter Law and its uncertainty is crucial in seismic hazard studies, as well as in verifying theoretical assertions, such as, for example, the universality of the Gutenberg-Richter Law.
L. Sandri, W. Marzocchi
doaj +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.A machine learning framework integrating multisource seismic, social, and geographic data accurately predicts kilometer‐scale seismic intensity, enabling rapid postearthquake damage assessment during data‐scarce “black‐box” periods. ABSTRACT Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response.
Ma Yuan +4 more
wiley +1 more source
Electronic Dissemination of Statistical Data [PDF]
The Subcommittee on Electronic Dissemination of Statistical Data was formed in January 1994 to document the use in Federal statistical agencies of electronic means of disseminating data.
United States, Federal Committee on Statistical Methodology. Subcommittee on Electronic Dissemination of Statistical Data
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Seismic detection of post-perovskite inside the Earth [PDF]
, 2015 Since 2004, we have known that perovskite, the most abundant mineral in the lower mantle, has the capacity to transform to a denser structure, postperovskite, if subjected to sufficiently high temperature and pressure.
Trampert, Jeannot +8 more
core +2 more sources
Some Statistical Methods for Random Process Data from Seismology and Neurophysiology [PDF]
The Annals of Statistics, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones
Environmetrics, Volume 37, Issue 6, September 2026.ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu +3 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 11, Page 2855-2879, September 2026.ABSTRACT We perform probabilistic seismic hazard analysis (PSHA) in the Shillong Plateau by clubbing the up‐to‐date earthquake data and seismotectonic properties of the study area. Twenty‐one areal seismic sources are delineated based on the updated earthquake catalog, tectonic, and fault plane solutions.
Mohd Shahabuddin +2 more
wiley +1 more source
Earthquake statistics inferred from plastic events in soft-glassy materials [PDF]
, 2016 We propose a new approach for generating synthetic earthquake catalogues based on the physics of soft glasses. The continuum approach produces yield-stress materials based on Lattice-Boltzmann simulations.
Toschi, Federico +3 more
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Wildlife Biology, Volume 2026, Issue 5, September 2026.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source