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
Online-Zugang:	Volltext
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