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Event detection performance of the PLUM earthquake early warning algorithm in Southern California

Elizabeth S. Cochran, Julian Bunn, Sarah E. Minson, Annemarie S. Baltay, Deborah L. Kilb, Yuki Kodera and Mitsuyuki Hoshiba
Event detection performance of the PLUM earthquake early warning algorithm in Southern California
Bulletin of the Seismological Society of America (June 2019) 109 (4): 1524-1541

Abstract

We test the Japanese ground-motion-based earthquake early warning (EEW) algorithm, propagation of local undamped motion (PLUM), in southern California with application to the U.S. ShakeAlert system. In late 2018, ShakeAlert began limited public alerting in Los Angeles to areas of expected modified Mercalli intensity (IMMI) 4.0+ for magnitude 5.0+ earthquakes. Most EEW systems, including ShakeAlert, use source-based methods: they estimate the location, magnitude, and origin time of an earthquake from P waves and use a ground-motion prediction equation to identify regions of expected strong shaking. The PLUM algorithm uses observed ground motions directly to define alert areas and was developed to address deficiencies in the Japan Meteorological Agency source-based EEW system during the 2011 M (sub w) 9.0 Tohoku earthquake sequence. We assess PLUM using (a) a dataset of 193 magnitude 3.5+ earthquakes that occurred in southern California between 2012 and 2017 and (b) the ShakeAlert testing and certification suite of 49 earthquakes and other seismic signals. The latter suite includes events that challenge the current ShakeAlert algorithms. We provide a first-order performance assessment using event-based metrics similar to those used by ShakeAlert. We find that PLUM can be configured to successfully issue alerts using IMMI trigger thresholds that are lower than those implemented in Japan. Using two stations, a trigger threshold of I (sub MMI) 4.0 for the first station and a threshold of I (sub MMI) 2.5 for the second station PLUM successfully detect 12 of 13 magnitude 5.0+ earthquakes and issue no false alerts. PLUM alert latencies were similar to and in some cases faster than source-based algorithms, reducing area that receives no warning near the source that generally have the highest ground motions. PLUM is a simple, independent seismic method that may complement existing source-based algorithms in EEW systems, including the ShakeAlert system, even when alerting to light (I (sub MMI) 4.0) or higher ground-motion levels.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 109
Serial Issue: 4
Title: Event detection performance of the PLUM earthquake early warning algorithm in Southern California
Affiliation: U. S. Geological Survey, Earthquake Science Center, Pasadena, CA, United States
Pages: 1524-1541
Published: 20190618
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 65
Accession Number: 2019-062124
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables, sketch maps
N33°00'00" - N35°00'00", W119°00'00" - W117°00'00"
Secondary Affiliation: California Institute of Technology, USA, United StatesScripps Institution of Oceanography, USA, United StatesJapan Meteorological Agency, JPN, Japan
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201932
Program Name: USGSOPNon-USGS publications with USGS authors

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