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Published March 16, 2015 | Published + Supplemental Material
Journal Article Open

A P wave-based, on-site method for earthquake early warning

Abstract

A new strategy for a P wave-based, on-site earthquake early warning system has been developed and tested on Japanese strong motion data. The key elements are the real-time, continuous measurement of three peak amplitude parameters and their empirical combination to predict the ensuing peak ground velocity. The observed parameters are compared to threshold values and converted into a single, dimensionless variable. A local alert level is issued as soon as the empirical combination exceeds a given threshold. The performance of the method has been evaluated by applying the approach to the catalog of Japanese earthquake records and counting the relative percentage of successful, missed, and false alarms. We show that the joint use of three peak amplitude parameters improves the performance of the system as compared to the use of a single parameter, with a relative increase of successful alarms of about 35%. The proposed methodology provides a more reliable prediction of the expected ground shaking and improves the robustness of a single-station, threshold-based earthquake early warning system.

Additional Information

© 2015 American Geophysical Union. Received 29 December 2014; Accepted 10 February 2015; Accepted article online 13 February 2015; Published online 13 March 2015. We acknowledge the Japanese National Research Institute for Earth Science and Disaster Prevention (NIED) for making the Kik-Net and K-net strong motion data accessible through website (http://www.kyoshin.bosai.go.jp/). This work was funded by the University of Naples Federico II and AMRA s.c.a r.l. in the framework of EU-FP7 REAKT project (Strategies and Tools for Real-Time Earthquake Risk Reduction) funded by the European Community via the Seventh Framework Program for Research (FP7), contract 282862. We are grateful to Matteo Picozzi for his constructive comment during the work and wish to thank Serdar H. Kuyuk and an anonymous reviewer for the careful revision of our manuscript. The Editor thanks Rongjiang Wang and Huseyin Kuyuk for their assistance in evaluating this paper.

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Published - grl52638.pdf

Supplemental Material - grl52638-sup-0001-documentS1.pdf

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August 22, 2023
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