Results 51 to 60 of about 20,973 (212)

Scale free networks of earthquakes and aftershocks

, 2003
We propose a new metric to quantify the correlation between any two earthquakes. The metric consists of a product involving the time interval and spatial distance between two events, as well as the magnitude of the first one.
A. Helmstetter, A. Wagner, B. Gutenberg, C. Frohlich, C. H. Scholz, D. P. Hill, D. Stauffer, D. Turcotte, F. Omori, G. M. Molchan, J. Gardner, L. Knopoff, L. Knopoff, M. Faloutsos, Marco Baiesi, Maya Paczuski, P. Bak, P. Bak, T. Hirata, T. Utsu, V. Keilis-Borok, Y. Y. Kagan   +21 more
core   +1 more source

Mainshocks are aftershocks of conditional foreshocks: How do foreshock statistical properties emerge from aftershock laws [PDF]

, 2003
The inverse Omori law for foreshocks discovered in the 1970s states that the rate of earthquakes prior to a mainshock increases on average as a power law ~ 1/(t_c-t)^p' of the time to the mainshock occurring at t_c.
Abercrombie, Agnew, Agnès Helmstetter, Aki, Berg, Bowman, Bufe, Cagnetti, Console, Davis, Didier Sornette, Dodge, Enescu, Felzer, Gabrielov, Gabrielov, Gross, Guo, Hainzl, Helmstetter, Helmstetter, Huang, Ikegami, Imoto, Jaumé, Jean-Robert Grasso, Jones, Jones, Kagan, Kagan, Kagan, Kagan, Kagan, Keilis-Borok, Keilis-Borok, Keilis-Borok, Kisslinger, Kisslinger, Knopoff, Li, Lindh, Ma, Maeda, Michael, Mogi, Mogi, Molchan, Molchan, Molchan, Molchan, Narteau, Ogata, Ogata, Ogata, Omori, Omori, Page, Papazachos, Papazachos, Papazachos, Papazachos, Pelletier, Reasenberg, Reasenberg, Reasenberg, Rotwain, Sammis, Scholz, Shaw, Smith, Smith, Sornette, Sornette, Sornette, Sornette, Stephens, Suyehiro, Tajima, Utsu, von Seggern, Wu, Wyss, Yamanaka, Yamashina, Yamashita, Yamashita, Yamashita, Zhang, Zöller   +88 more
core   +5 more sources

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Earthquake Size Distribution: Power-Law with Exponent Beta = 1/2? [PDF]

, 2010
We propose that the widely observed and universal Gutenberg-Richter relation is a mathematical consequence of the critical branching nature of earthquake process in a brittle fracture environment.
Antsyferov, Beroza, Bird, Bird, Boettcher, Boettcher, Clauset, Csikor, Dahmen, Dimiduk, Dziewonski, Dziewonski, Ekström, Ekström, Enescu, Feller, Frohlich, Frohlich, Geist, Gutenberg, Harris, Hiramatsu, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kagan, Kanamori, Miguel, Molchan, Okal, Otter, Park, Perez-Campos, Rhoades, Rhoades, Rhoades, Richeton, Schorlemmer, Schwartz, Shelly, Tinti, Vere-Jones, Vere-Jones, Vere-Jones, Weiss, Werner, Yan Y. Kagan, Zaiser, Zaiser, Zaiser, Zhuang, Zhuang   +62 more
core   +1 more source

Interseismic, Coseismic, and Early Postseismic Slip Associated With the 2025 Mw 8.8 Kamchatka Earthquake

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Unraveling the surface deformation and fault kinematics during the seismic cycle is crucial for understanding earthquake physics. Herein, we use geodetic and seismic observations to quantify the interseismic coupling, coseismic rupture, and postseismic afterslip associated with the 2025 Mw 8.8 Kamchatka earthquake.
Yang Xiao, Jingqi Wang, Yijun Zhang, Wenting Zhang, Jiangcun Zhou, Heping Sun, Yabo Zhao, Anas Osman, Rumeng Guo   +8 more
wiley   +1 more source

Aftershock prediction for high-frequency financial markets' dynamics

, 2012
The occurrence of aftershocks following a major financial crash manifests the critical dynamical response of financial markets. Aftershocks put additional stress on markets, with conceivable dramatic consequences.
Baldovin, Fulvio, Camana, Francesco, Caraglio, Michele, Stella, Attilio L., Zamparo, Marco   +4 more
core   +1 more source

Aftershocks and Fluctuating Diffusivity

Entropy, 2023
The Omori-Utsu law shows the temporal power-law-like decrease of the frequency of earthquake aftershocks and, interestingly, is found in a variety of complex systems/phenomena exhibiting catastrophes. Now, it may be interpreted as a characteristic response of such systems to large events.
Sumiyoshi Abe, Norikazu Suzuki, Dmitrii A. Tayurskii   +2 more
openaire   +4 more sources

Analytical Floor Response Spectra for Performance‐Based Seismic Design of Non‐structural Elements in Reinforced Concrete Frame Buildings

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1292-1312, May 2026.
ABSTRACT Damage to non‐structural elements significantly impacts the seismic performance of buildings in terms of economic and functionality losses. Consequently, performance‐based seismic design of non‐structural elements has become a key pillar of a comprehensive building‐seismic resilience strategy, for instance, through loss‐targeted earthquake ...
Roberto J. Merino, Roberto Gentile, Carmine Galasso   +2 more
wiley   +1 more source

Extensive Characterization of Seismic Laws in Acoustic Emissions of Crumpled Plastic Sheets

, 2016
Statistical similarities between earthquakes and other systems that emit cracking noises have been explored in diverse contexts, ranging from materials science to financial and social systems. Such analogies give promise of a unified and universal theory
Costa, Leandro S., Lenzi, Ervin K., Mendes, Renio S., Ribeiro, Haroldo V.   +3 more
core   +1 more source

Regional Adjustments to NGA‐West2 Ground‐Motion Models for Turkey

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1313-1332, May 2026.
ABSTRACT This paper presents a ground‐motion model updating (GMMU) framework to adjust NGA‐West2 models for predicting a set of intensity measures in Turkey, including peak ground acceleration (PGA), peak ground velocity (PGV), and pseudo‐spectral acceleration (PSA) at periods ranging from 0.01 to 10 s. The GMMU framework integrates bias identification
Mao‐Xin Wang, Gang Wang
wiley   +1 more source