Results 111 to 120 of about 272 (140)

On an earthquake early warning system (EEW) and its applications

Soil Dynamics and Earthquake Engineering, 2011
It is clear that the basic countermeasure against earthquake strong motion is to reinforce buildings and other structures. Realtime earthquake disaster prevention is a countermeasure during the earthquake itself and is different from realtime seismology.
Yutaka Nakamura
exaly   +2 more sources

Anatomy of an Earthquake Early Warning (EEW) Alert: Predicting Time Delays for an End-to-End EEW System

Seismological Research Letters, 2015
Earthquake early warning (EEW) systems can play an important role in seismic‐risk mitigation, filling the gap between long‐term measures such as earthquake safe building design (e.g., Housner et al. , 1997) and medium‐to‐short term measures like operational earthquake forecasting (e.g., Gerstenberger et al.
John Clinton, Men-Andrin Meier, Yannik Bèhr   +2 more
exaly   +2 more sources

A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence

Earth Science Informatics
Peyman Saberian, Kolivand Pirhossein, Ayyoubzadeh Seyed Mohammad   +2 more
exaly   +2 more sources

Performance analysis of P‐wave detection algorithms for a community‐engaged earthquake early warning system – a case study of the 2022 M5.8 Cook Strait earthquake

New Zealand Journal of Geology, and Geophysics
ABSTRACT Can a P‐wave detection algorithm enhance the performance of an Earthquake Early Warning System (EEWS), particularly in community‐engaged networks of low‐cost ground motion sensors susceptible to noise? If so, what P‐wave detection algorithm would perform the best?
Caroline Holden, Raj Prasanna, Marion Lara Tan   +2 more
exaly   +2 more sources

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, Yonggyu Choi, Youngseok Song, Joongmoo Byun, Soon Jee Seol   +4 more
openaire   +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, Zhongliang Wu, Fabio Romanelli, Franco Vaccari, Antonella Peresan, Jiawei Li, Giuliano F. Panza   +6 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, Relu Burlacu, John Crofts, Debi Kilb, Keith Koper, Emily Morton, Debbie Worthen   +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, Chun-Hsiang Kuo, Hsin-Hua Huang, Shu-Hsien Chao   +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, Ryosuke Yokoi, James Goltz   +2 more
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, JinKoo Lee, Woodong Lee, SeokTae Lee, HoJun Lee, Inchan Jeon, NamRyoul Park   +6 more
openaire   +1 more source