Results 151 to 160 of about 550 (177)
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A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence

Earth Science Informatics
Peyman Saberian   +2 more
exaly   +2 more sources

State-of-the art and future of earthquake early warning in the European region

open access: yesBulletin of Earthquake Engineering, 2016
European researchers and seismic networks are active in developing new approaches to earthquake early warning (EEW), implementing and operating test EEW systems, and in some cases, offering operational EEW to end users.
John Clinton   +2 more
exaly   +2 more sources

Earthquake early warning: Recent advances and perspectives [PDF]

open access: yesEarth-Science Reviews, 2020
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 information about ongoing earthquakes, enabling individuals, communities ...
Gemma Cremen, Carmine Galasso
exaly   +1 more source

Earthquake Early Warning System (EEWS) empowered by Time‐Dependent Neo‐Deterministic Seismic Hazard Assessment (TD‐NDSHA)

Terra Nova, 2023
AbstractIn the network‐based on‐site earthquake early warning system (EEWS), the ‘blind zone’, namely the zone where the issued warning arrives later than the destructive S and surface waves, is one of the challenges affecting its effectiveness. The ‘blind zone’ is determined by the interstation distance, or equivalently the density of seismic stations,
Yan Zhang   +6 more
openaire   +1 more source

Seismic Intensity Estimation using Machine Learning for on-site Earthquake Early Warning (EEW)

2022
<p>Earthquake Early Warning System (EEW) is a technology that calculates earthquake parameter using P-wave that arrives earlier and warns the expected damage area before the arrival of destructive S wave. Therefore, many countries are operating EEW to mitigate damage from earthquake shaking. Especially an on-site EEW is drawn attention as
Sungmyung Bae   +4 more
openaire   +1 more source

On the Feasibility of Implementing an Earthquake Early Warning (EEW) System in Utah

The Utah Legislature, in the 2022 General Session, appropriated funding to study the feasibility of implementing an Earthquake Early Warning (EEW) system in Utah. Funding was provided to the three primary agencies in the Utah Earthquake Program—the Utah Division of Emergency Management (UDEM), the Utah Geological Survey (UGS), and the University of ...
Steve Bowman   +6 more
openaire   +1 more source

Application of ground motion model (GMM) considering rupture directivityto earthquake early warning (EEW) system in Taiwan

          Taiwan is situated in Circum-Pacific Seismic Belt, located on the boundary between the Eurasian Plate and the Philippine Sea Plate. Therefore, it is necessary to evaluate the ground motion intensity in various seismic designs or seismic disaster assessments ...
Chin-Ting Weng   +3 more
openaire   +1 more source

Human Behavioral Response to Earthquake Early Warnings (Eew): Are Alerts Received on Mobile Phones Inhibiting Protective Actions?

International Journal of Disaster Risk Reduction, 2023
Kazuya Nakayachi   +2 more
openaire   +1 more source

Optimising Earthquake Early Warning (EEW) Algorithms with Synthetic Waveforms from Generative Deep Learning Models (SWEET)

This research presents a novel workflow for generating finite-fault synthetic waveforms from point- source synthetics from a generative diffusion model that lacks fault geometry information. By superim- posing multiple point sources, the method reconstructs waveforms that reproduce key features of observed ground motion, including amplitude, envelope ...
openaire   +1 more source

Deep Learning-Based, Real-Time, False-Pick Filter for an Onsite Earthquake Early Warning (EEW) System

Journal of the Earthquake Engineering Society of Korea, 2021
JeongBeom Seo   +6 more
openaire   +1 more source

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