Results 41 to 50 of about 272 (140)

Comparing the Performance of Regional Earthquake Early Warning Algorithms in Europe

open access: yesFrontiers in Earth Science, 2021
Several earthquake early warning (EEW) algorithms have been developed worldwide for rapidly estimating real-time information (i.e., location, magnitude, ground shaking, and/or potential consequences) about ongoing seismic events.
Elisa Zuccolo   +3 more
doaj   +1 more source

Research on earthquake early warning and emergency response for high-speed railways based on the PLUM principle [PDF]

open access: yesRailway Sciences
PurposeThis study aims to design and validate an emergency response method for high-speed railway earthquake early warning (EEW) systems based on the Propagation of Local Undamped Motion (PLUM) principle in order to enhance the timeliness and accuracy of
Kun Gu   +4 more
doaj   +1 more source

An approach to improve the performance of the earthquake early warning system for the 2018 Hualien earthquake in Taiwan

open access: yesTerrestrial, Atmospheric and Oceanic Sciences, 2019
On 6 February 2018, a damaging earthquake with a magnitude of 6.4 on the moment magnitude scale occurred off the eastern coast of Taiwan near Hualien, causing the collapse of buildings and human casualties.
Da-Yi Chen   +4 more
doaj   +1 more source

Developments of the Nationwide Earthquake Early Warning System in Japan After the 2011 Mw9.0 Tohoku-Oki Earthquake

open access: yesFrontiers in Earth Science, 2021
In Japan, the nationwide earthquake early warning (EEW) system has been being operated by the Japan Meteorological Agency (JMA) since 2007, disseminating information on imminent strong ground motion to the general public and advanced technical users.
Yuki Kodera   +8 more
doaj   +1 more source

Toward a cross-border early-warning system for Central Asia

open access: yesAnnals of Geophysics, 2015
Rapidly expanding urban areas in Central Asia are increasingly vulnerable to seismic risk; but at present, no earthquake early warning (EEW) systems exist in the region despite their successful implementation in other earthquake-prone areas. Such systems
Jacek Stankiewicz   +3 more
doaj   +1 more source

Real-Data Testing of Distributed Acoustic Sensing for Offshore Earthquake Early Warning

open access: yesThe Seismic Record, 2023
We present a real-data test for offshore earthquake early warning (EEW) with distributed acoustic sensing (DAS) by transforming submarine fiber-optic cable into a dense seismic array.
Jiuxun Yin   +6 more
doaj   +1 more source

An Earthquake Early Warning Method Based on Bayesian Inference

open access: yesApplied Sciences, 2022
Earthquake early warning (EEW) systems can give people warnings before damaging ground motions reach their site and can reduce earthquake-related losses.
Jingsong Yang   +3 more
doaj   +1 more source

User Acceptance and Perceptions of Earthquake Early Warning Systems as a Function of Information Type: The Case of Postearthquake Nepal

open access: yesEarthquake Spectra, Volume 42, Issue 2, May 2026.
What drives user perceptions and acceptance of earthquake early warning systems (EEWS) as an emerging technology? Do distinct types of transparency into EEWS affect users’ perceptions of the system's usefulness and desirability differently? To address these questions, we focus on Nepal, an earthquake‐prone country with no active public EEWS ...
Shana Scogin   +3 more
wiley   +1 more source

From Warnings to Actions: Factors Influencing Response to Earthquake Early Warning—A Systematic Literature Review

open access: yesEarthquake Spectra, Volume 42, Issue 2, May 2026.
Earthquake early warning (EEW) systems offer critical seconds for protective actions, yet their effectiveness ultimately depends on human interpretation and response. This article presents a systematic literature review of factors shaping public behavior during earthquakes and in response to EEW alerts.
Kianoush Rostami   +3 more
wiley   +1 more source

Whether and When Large Earthquake Magnitudes Can Be Determined From Rupture Onsets

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Whether and when earthquakes of different sizes can be distinguished early in their rupture process is critical to improving earthquake early warning (EEW) systems. To address this question, we develop a transformer‐based framework called source time function Magnitude Network (STF‐MgNet), which leverages earthquake STFs with Mw ≥ ${\ge} $ 5.5
Shiyu Zeng   +7 more
wiley   +1 more source

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