Results 31 to 40 of about 550 (177)

Trans-national earthquake early warning (EEW) in north-eastern Italy, Slovenia and Austria: first experience with PRESTo at the CE3RN network [PDF]

Advances in Geosciences, 2015
The region of central and eastern Europe is an area characterised by a relatively high seismic risk. Since 2001, to monitor the seismicity of this area, the OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale) in Italy, the Agencija Republike Slovenije za Okolje (ARSO) in Slovenia, the Zentralanstalt für Meteorologie und Geodynamik ...
Picozzi, M., Elia, L., Pesaresi, D., Zollo, A., Mucciarelli, M., Gosar, A., Lenhardt, W., Živčić, M.   +7 more
openaire   +6 more sources

Assessing network-based earthquake early warning systems in low-seismicity areas

Frontiers in Earth Science, 2023
Earthquake early warning (EEW) technology, designed to alert the public of earthquake risks after initial P-wave detection but before the onset of strong tremors, has developed rapidly.
Jae-Kwang Ahn, Seongheum Cho, Eui-Hong Hwang, Woo-Hyun Baek   +3 more
doaj   +1 more source

Discovery of an Active Forearc Fault in an Urban Region: Holocene Rupture on the XEOLXELEK‐Elk Lake Fault, Victoria, British Columbia, Canada

Tectonics, Volume 42, Issue 12, December 2023., 2023
Abstract Subduction forearcs are subject to seismic hazard from upper plate faults that are often invisible to instrumental monitoring networks. Identifying active faults in forearcs therefore requires integration of geomorphic, geologic, and paleoseismic data. We demonstrate the utility of a combined approach in a densely populated region of Vancouver
Nicolas Harrichhausen, Theron Finley, Kristin D. Morell, Christine Regalla, Scott E. K. Bennett, Lucinda J. Leonard, Edwin Nissen, Eleanor McLeod, Emerson M. Lynch, Guy Salomon, Israporn Sethanant   +10 more
wiley   +1 more source

Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning

Journal of Geophysical Research: Solid Earth, Volume 128, Issue 11, November 2023., 2023
Abstract We introduce the Ensemble Earthquake Early Warning System (E3WS), a set of Machine Learning (ML) algorithms designed to detect, locate, and estimate the magnitude of an earthquake starting from 3 s of P‐waves recorded by a single station. The system is made of six Ensemble ML algorithms trained on attributes computed from ground acceleration ...
Pablo Lara, Quentin Bletery, Jean‐Paul Ampuero, Adolfo Inza, Hernando Tavera   +4 more
wiley   +1 more source

Toward earthquake early warning: A convolutional neural network for rapid earthquake magnitude estimation

Artificial Intelligence in Geosciences, 2023
Earthquake early warning (EEW) is one of the important tools to reduce the hazard of earthquakes. In contemporary seismology, EEW is typically transformed into a fast classification of earthquake magnitude, i.e., large magnitude earthquakes that require ...
Fanchun Meng, Tao Ren, Zhenxian Liu, Zhida Zhong   +3 more
doaj   +1 more source

Rapid Source Characterization of the Maule Earthquake Using Prompt Elasto‐Gravity Signals

Journal of Geophysical Research: Solid Earth, Volume 128, Issue 9, September 2023., 2023
Abstract The recently identified Prompt Elasto‐Gravity Signals (PEGS), generated by large earthquakes, propagate at the speed of light and are sensitive to the earthquake magnitude and focal mechanism. These characteristics make PEGS potentially very advantageous for tsunami early warning, which relies on fast and accurate estimation of the magnitude ...
G. Arias, Q. Bletery, A. Licciardi, K. Juhel, J. P. Ampuero, B. Rouet‐Leduc   +5 more
wiley   +1 more source

Understanding the social aspects of earthquake early warning: A literature review

Frontiers in Communication, 2022
Earthquake early warning (EEW) systems aim to warn end-users of incoming ground shaking from earthquakes that have ruptured further afield, potentially reducing risks to lives and properties. EEW is a socio-technical system involving technical and social
Marion Lara Tan, Julia S. Becker, Kristin Stock, Raj Prasanna, Anna Brown, Christine Kenney, Alicia Cui, Emily Lambie   +7 more
doaj   +1 more source

Earthquake Magnitude With DAS: A Transferable Data‐Based Scaling Relation

Geophysical Research Letters, Volume 50, Issue 10, 28 May 2023., 2023
Abstract Distributed Acoustic Sensing (DAS) is a promising technique to improve the rapid detection and characterization of earthquakes. Previous DAS studies mainly focus on the phase information but less on the amplitude information. In this study, we compile earthquake data from two DAS arrays in California, USA, and one submarine array in Sanriku ...
Jiuxun Yin, Weiqiang Zhu, Jiaxuan Li, Ettore Biondi, Yaolin Miao, Zack J. Spica, Loïc Viens, Masanao Shinohara, Satoshi Ide, Kimihiro Mochizuki, Allen L. Husker, Zhongwen Zhan   +11 more
wiley   +1 more source

Stable operation process of earthquake early warning system based on machine learning: trial test and management perspective

Frontiers in Earth Science, 2023
Earthquake Early Warning (EEW) is an alert system, based on seismic wave propagation theory, to reduce human casualties. EEW systems mainly utilize technologies through both network-based and on-site methods.
Jae-Kwang Ahn, Euna Park, Byeonghak Kim, Eui-Hong Hwang, Seongwon Hong   +4 more
doaj   +1 more source

A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk

Earthquake Spectra, Volume 39, Issue 2, Page 938-961, May 2023., 2023
Earthquake early warning systems (EEWSs) aim to rapidly detect earthquakes and provide timely alerts, so that users can take protective actions prior to the onset of strong ground shaking. The promise and limitations of EEWSs have both been widely debated. On one hand, an operational EEWS could mitigate earthquake damage by triggering potentially cost‐
Athanasios N Papadopoulos, Maren Böse, Laurentiu Danciu, John Clinton, Stefan Wiemer   +4 more
wiley   +1 more source