Results 41 to 50 of about 5,848,790 (129)
Automatic Earthquake Declustering Using the Nearest‐Neighbor Distance
Abstract In the widely adopted description of seismic occurrence, earthquakes are categorized as either background or triggered events. In this work, we present a fully automated, non‐parametric algorithm for distinguishing between these two categories, a process known as seismic declustering, based on the widely used nearest‐neighbor (NN) metric.
P. Bountzis +3 more
wiley +1 more source
Abstract Establishing a quantitative framework to evaluate the spatiotemporal patterns of slow earthquakes and to detect their anomalous activities is essential for understanding diverse slip behaviors on plate boundaries and seismic hazard assessment. In this study, we focus on deep tectonic tremors, which are one manifestation of slow earthquakes and
Seiya Yano, Satoshi Ide, Shunichi Nomura
wiley +1 more source
Good practice report: new developments in physics- and statistics-based earthquake forecasting
ETAS is currently the most widely accepted state-of-the-art when it comes to time-dependent earthquake forecasting. This model is based on a few simple assumptions and well-established empirical principles about earthquakes’ triggering behaviour. In ETAS,
Bayona, José A. +2 more
core +1 more source
Nowcasting Earthquakes With Stochastic Simulations: Information Entropy of Earthquake Catalogs
Earthquake nowcasting has been proposed as a means of tracking the change in large earthquake potential in a seismically active area. The method was developed using observable seismic data, in which probabilities of future large earthquakes can be ...
John B. Rundle +2 more
doaj +1 more source
Unsupervised Likelihood Inference of the b‐Value via Magnitude Differences
Abstract Estimating the Gutenberg–Richter b‐value from seismic catalogs is critical for earthquake forecasting and hazard assessment. However, traditional approaches rely on predefined magnitude thresholds and are highly sensitive to catalog incompleteness, limiting their applicability in automated or real‐time settings.
C. Godano, E. Lippiello, G. Petrillo
wiley +1 more source
Comparison of statistical low-frequency earthquake activity models
Slow earthquakes are slow fault slip events. Quantifying and monitoring slow earthquake activity characteristics are important, because they may change before large earthquakes occur.
Tomoaki Nishikawa
doaj +1 more source
Abstract The b‐value from the Gutenberg‐Richter law is a crucial parameter in the assessment of seismic hazard. Its temporal variations may also bring useful insights on the processes driving seismicity at depth, even if not yet fully understood. In this paper, we focus on the temporal evolution of the b‐value in the Ubaye Region (French Western Alps ...
Marion Baques +4 more
wiley +1 more source
Modelación estadística de eventos extremos para la predicción de terremotos en el Ecuador. [PDF]
El objetivo de este estudio fue modelar los eventos extremos y proponer un modelo que permita obtener probabilidades de ocurrencia de un terremoto, para lo cual se utilizó el catálogo sísmico Global Centroid Moment Tensor (CMT) filtrando la información ...
Valladolid Sánchez, Cristina Micaela +1 more
core
Mechanics and Statistics of Postseismic Shaking
Abstract Analysis of 2 weeks of continuous post‐seismic shaking after the 2019 M7.1 Ridgecrest, CA earthquake sequence using 4 nearby borehole seismometers reveals that continuous ground motions decay as Omori's law in time and follow the Gutenberg‐Richter distribution in logarithmic amplitude.
T. Clements +6 more
wiley +1 more source
Modeling and Prediction of Aftershock Activity
International audienceWe provide an overview of the basic models of the aftershock processes and advanced methods used to predict postseismic hazard. We consider both the physical mechanisms for aftershock generation and models of aftershocks and time ...
Baranov, Sergey +5 more
core +1 more source

