Results 11 to 20 of about 272 (140)

Rapid earthquake magnitude classification via P-wave strains from borehole strainmeters and Distributed Acoustic Sensing [PDF]

Nature Communications
Distributed Acoustic Sensing (DAS) offers a promising approach for earthquake early warning (EEW) in settings where seismic networks are costly to maintain.
T. M. Sawi, J. J. McGuire, A. J. Barbour, C. E. Yoon, M. Karrenbach, C. Stewart   +5 more
doaj   +2 more sources

Monitoring public reaction to an unnecessary earthquake early warning alert [PDF]

Scientific Reports
False or unnecessary Earthquake Early Warning (EEW) alerts risk undermining public trust, potentially leading to alert fatigue or disengagement, a critical concern for policymakers.
Gony Yagoda-Biran, Ran N. Nof, Yonat Zwebner   +2 more
doaj   +2 more sources

Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake [PDF]

Scientific Reports
Magnitude determination in earthquake early warning (EEW) systems remains a significant challenge. On April 2, 2024, a Mw 7.4 earthquake struck Taiwan.
Yueh-Ho Lin, Yih-Min Wu
doaj   +2 more sources

Integrating fiber-optic seismic arrays into earthquake early warning systems with the dEPIC framework [PDF]

Scientific Reports
Distributed Acoustic Sensing (DAS) can enhance earthquake early warning (EEW) by transforming existing fiber-optic cables into dense seismic arrays, including in offshore areas with sparse instrumentation.
Yuancong Gou, Ran N. Nof, Brian Pardini, Richard M. Allen   +3 more
doaj   +2 more sources

One-second-lead earthquake warning and impact assessment at Campi Flegrei [PDF]

Scientific Reports
Rapid dissemination of earthquake information during seismic crises is crucial for mitigating the impact of earthquakes, particularly in densely populated volcanic areas, such as the Campi Flegrei caldera (Southern Italy).
V. Longobardi, S. Colombelli, A. Zollo
doaj   +2 more sources

Development of a Seismic Detection Technology for High-Speed Trains Using Signal Analysis Techniques [PDF]

Sensors, 2020
As the occurrence of earthquakes is increasing in South Korea, the earthquake early warning (EEW) system becomes indispensable for the protection of high-speed railways.
Jae Sang Moon, Mintaek Yoo
doaj   +2 more sources

Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems [PDF]

Sensors
We introduce a novel LoRa-based multi-hop communication architecture as an alternative to the public internet for earthquake early warning (EEW).
Vinuja Ranasinghe, Nuwan Udara, Movindi Mathotaarachchi, Tharindu Thenuwara, Dileeka Dias, Raj Prasanna, Sampath Edirisinghe, Samiru Gayan, Caroline Holden, Amal Punchihewa, Max Stephens, Paul Drummond   +11 more
doaj   +2 more sources

Universal neural networks for real-time earthquake early warning trained with generalized earthquakes [PDF]

Communications Earth & Environment
Deep learning enhances earthquake monitoring capabilities by mining seismic waveforms directly. However, current neural networks, trained within specific areas, face challenges in generalizing to diverse regions.
Xiong Zhang, Miao Zhang
doaj   +2 more sources

Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand [PDF]

Scientific Reports
Earthquake P-wave detection is the first and most critical step in Earthquake Early Warning (EEW), as detection speed determines how much time is available before strong shaking arrives, while detection accuracy governs the reliability of the warning ...
Danuka Ravishan, Raj Prasanna, Pasan Herath, Emma E. H. Doyle   +3 more
doaj   +2 more sources

Data‐Knowledge Driven Hybrid Deep Learning for Earthquake Early Warning

Earth and Space Science
Earthquake early warning (EEW) is of great significance in mitigating seismic disasters. Traditional EEW algorithms, which are knowledge‐driven approaches, rely on seismologists' analysis.
J. Zhu, S. Li, J. Song
doaj   +2 more sources