Earthquake early warning: Recent advances and perspectives

G Cremen, C Galasso - Earth-Science Reviews, 2020 - Elsevier
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 …

A review of the technical and socio-organizational components of earthquake early warning systems

O Velazquez, G Pescaroli, G Cremen… - Frontiers in Earth …, 2020 - frontiersin.org
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 …

An aerosol deposition based MEMS piezoelectric accelerometer for low noise measurement

X Gong, YC Kuo, G Zhou, WJ Wu… - Microsystems & …, 2023 - nature.com
Potentially applied in low-noise applications such as structural health monitoring (SHM), a 1-
axis piezoelectric MEMS accelerometer based on aerosol deposition is designed …

PRESTo, the earthquake early warning system for southern Italy: Concepts, capabilities and future perspectives

C Satriano, L Elia, C Martino, M Lancieri, A Zollo… - Soil Dynamics and …, 2011 - Elsevier
PRESTo (PRobabilistic and Evolutionary early warning SysTem) is a software platform for
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 …

Complex rupture dynamics on an immature fault during the 2020 Mw 6.8 Elazığ earthquake, Turkey

F Gallovič, J Zahradník, V Plicka, E Sokos… - … Earth & Environment, 2020 - nature.com
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 …

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 …

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 …

FinDer v. 2: Improved real-time ground-motion predictions for M2–M9 with seismic finite-source characterization

M Böse, DE Smith, C Felizardo… - Geophysical Journal …, 2018 - academic.oup.com
Recent studies suggest that small and large earthquakes nucleate similarly, and that they
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 …