Results 31 to 40 of about 272 (140)
Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning
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 +4 more
wiley +1 more source
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 +3 more
doaj +1 more source
Rapid Source Characterization of the Maule Earthquake Using Prompt Elasto‐Gravity Signals
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 +5 more
wiley +1 more source
Earthquake Magnitude With DAS: A Transferable Data‐Based Scaling Relation
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 +11 more
wiley +1 more source
Understanding the social aspects of earthquake early warning: A literature review
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 +7 more
doaj +1 more source
A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk
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 +4 more
wiley +1 more source
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 +4 more
doaj +1 more source
Earthquake Early Warning Systems (EEWSs) development is essential to provide service to stakeholders and the public. The service is the information access regarding the information on the earthquake source area and its impact on the surrounding environment.
openaire +1 more source
Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm
Earthquake early warning (EEW) is considered one of the important real-time earthquake damage mitigation measures. The presence of seismogenic sources generating high seismicity in Himalayas and the cities of concern lying at appropriate distances makes ...
Rakhi Bhardwaj, Mukat Lal Sharma
doaj +1 more source
Knowledge, perceptions, and behavioral responses to earthquake early warning in Aotearoa New Zealand
IntroductionAotearoa New Zealand (NZ) experiences frequent earthquakes, with a history of damaging and fatal events, but currently does not have a national, official earthquake early warning (EEW) system.
Lauren Jennifer Vinnell +3 more
doaj +1 more source

