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 …
A review of the technical and socio-organizational components of earthquake early warning systems
Every year, natural hazards affect millions of people around the world, causing significant
economic and life losses. The rapid progress of technology and advances in understanding …
economic and life losses. The rapid progress of technology and advances in understanding …
An aerosol deposition based MEMS piezoelectric accelerometer for low noise measurement
Potentially applied in low-noise applications such as structural health monitoring (SHM), a 1-
axis piezoelectric MEMS accelerometer based on aerosol deposition is designed …
axis piezoelectric MEMS accelerometer based on aerosol deposition is designed …
PRESTo, the earthquake early warning system for southern Italy: Concepts, capabilities and future perspectives
PRESTo (PRobabilistic and Evolutionary early warning SysTem) is a software platform for
regional earthquake early warning that integrates recently developed algorithms for real …
regional earthquake early warning that integrates recently developed algorithms for real …
Prediction of PGA in earthquake early warning using a long short-term memory neural network
A Wang, S Li, J Lu, H Zhang, B Wang… - Geophysical Journal …, 2023 - academic.oup.com
Peak ground acceleration (PGA) is a key parameter used in earthquake early warning
systems to measure the ground motion strength and initiate emergency protocols at major …
systems to measure the ground motion strength and initiate emergency protocols at major …
Complex rupture dynamics on an immature fault during the 2020 Mw 6.8 Elazığ earthquake, Turkey
Physical laws governing friction on shallow faults in the Earth and spatial heterogeneity of
parameters are critical to our understanding of earthquake physics and the assessment of …
parameters are critical to our understanding of earthquake physics and the assessment of …
Magnitude estimation for earthquake early warning using a deep convolutional neural network
J Zhu, S Li, J Song, Y Wang - Frontiers in Earth Science, 2021 - frontiersin.org
Magnitude estimation is a vital task within earthquake early warning (EEW) systems
(EEWSs). To improve the magnitude determination accuracy after P-wave arrival, we …
(EEWSs). To improve the magnitude determination accuracy after P-wave arrival, we …
On-site alert-level earthquake early warning using machine-learning-based prediction equations
J Song, J Zhu, Y Wang, S Li - Geophysical Journal International, 2022 - academic.oup.com
To rapidly and accurately provide alerts at target sites near the epicentre, we develop an on-
site alert-level earthquake early warning (EEW) strategy involving P-wave signals and …
site alert-level earthquake early warning (EEW) strategy involving P-wave signals and …
FinDer v. 2: Improved real-time ground-motion predictions for M2–M9 with seismic finite-source characterization
Recent studies suggest that small and large earthquakes nucleate similarly, and that they
often have indistinguishable seismic waveform onsets. The characterization of earthquakes …
often have indistinguishable seismic waveform onsets. The characterization of earthquakes …
Magnitude estimation for earthquake early warning with multiple parameter inputs and a support vector machine
J Zhu, S Li, J Song - Seismological Research Letters, 2022 - pubs.geoscienceworld.org
Accurately estimating the magnitude within the initial seconds after the P‐wave arrival is of
great significance in earthquake early warning (EEW). Over the past few decades, single …
great significance in earthquake early warning (EEW). Over the past few decades, single …