Earthquake early warning: Advances, scientific challenges, and societal needs
Earthquake early warning (EEW) is the delivery of ground shaking alerts or warnings. It is
distinguished from earthquake prediction in that the earthquake has nucleated to provide …
distinguished from earthquake prediction in that the earthquake has nucleated to provide …
Earthquake early warning: Recent advances and perspectives
Earthquake early warning (EEW) is a relatively new strategy for reducing disaster risk and
increasing resilience to seismic hazard in urban settings. EEW systems provide real-time …
increasing resilience to seismic hazard in urban settings. EEW systems provide real-time …
[BOOK][B] The mechanics of earthquakes and faulting
CH Scholz - 2019 - books.google.com
This essential reference for graduate students and researchers provides a unified treatment
of earthquakes and faulting as two aspects of brittle tectonics at different timescales. The …
of earthquakes and faulting as two aspects of brittle tectonics at different timescales. The …
P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning
Determining earthquake hypocenters and focal mechanisms requires precisely measured P
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …
A machine‐learning approach for earthquake magnitude estimation
In this study, we present a fast and reliable method for end‐to‐end estimation of earthquake
magnitude from raw waveforms recorded at single stations. We design a regressor (MagNet) …
magnitude from raw waveforms recorded at single stations. We design a regressor (MagNet) …
[HTML][HTML] Early detection of earthquake magnitude based on stacked ensemble model
A new machine learning model, named, EEWPEnsembleStack has been developed for
predicting the magnitude of the earthquake from a few seconds of recorded ground motion …
predicting the magnitude of the earthquake from a few seconds of recorded ground motion …
Application of XGBoost model for early prediction of earthquake magnitude from waveform data
In this paper, a scalable end-to-end tree boosting system called XGBoost has been applied
for predicting the magnitude of an earthquake from the early part of earthquake waveform …
for predicting the magnitude of an earthquake from the early part of earthquake waveform …
MyShake: A smartphone seismic network for earthquake early warning and beyond
Large magnitude earthquakes in urban environments continue to kill and injure tens to
hundreds of thousands of people, inflicting lasting societal and economic disasters …
hundreds of thousands of people, inflicting lasting societal and economic disasters …
Real-time determination of earthquake focal mechanism via deep learning
An immediate report of the source focal mechanism with full automation after a destructive
earthquake is crucial for timely characterizing the faulting geometry, evaluating the stress …
earthquake is crucial for timely characterizing the faulting geometry, evaluating the stress …
Real-time seismology and earthquake damage mitigation
H Kanamori - Annu. Rev. Earth Planet. Sci., 2005 - annualreviews.org
▪ Abstract Real-time seismology refers to a practice in which seismic data are collected and
analyzed quickly after a significant seismic event, so that the results can be effectively used …
analyzed quickly after a significant seismic event, so that the results can be effectively used …