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

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? This study analyses the performance...

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Veröffentlicht in:New Zealand journal of geology and geophysics Jg. 68; H. 1; S. 135 - 150
Hauptverfasser: Chandrakumar, Chanthujan, Tan, Marion Lara, Holden, Caroline, Stephens, Max T., Prasanna, Raj
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 02.01.2025
Taylor & Francis Ltd
Schlagworte:
Algorithms
Case studies
citizen seismology
Early warning systems
earthquake detection
earthquake detection algorithms
Earthquake early warning (EEW)
earthquake resilience
Earthquakes
Emergency communications systems
false detection
Ground motion
low-cost seismometers
missed detection
Motion sensors
P waves
Performance enhancement
Seismic activity
Seismology
User experience
warning systems
Wavelet analysis
Wavelet transforms
ISSN:0028-8306, 1175-8791
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Zusammenfassung: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? This study analyses the performance of four different P-wave detection algorithms using a community-engaged Earthquake Early Warning (EEW) network. The ground motion data from a 48-hour time window around a M5.8 earthquake on 22 September 2022 were used as the basis for this case study, where false and missed detections were analysed for each P-wave detection algorithm. The results indicate that a wavelet transformation-based P-wave picker is the most suitable algorithm for detecting an earthquake with minimal missed and false detections for a community-engaged EEWS. Our results show that a citizen seismology-based EEWS is capable of detecting events of interest to EEW when selecting an appropriate earthquake detection algorithm. The study also suggests future research areas for community-engaged EEWSs, including dynamically changing P-wave detection thresholds and improving citizen seismologists' user experience and involvement.
Bibliographie:HANDLING EDITOR
Emily Warren‐Smith
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ISSN:0028-8306
1175-8791
DOI:10.1080/00288306.2023.2284276