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The Earthquake Network Project; toward a crowdsourced smartphone-based earthquake early warning system

Francesco Finazzi
The Earthquake Network Project; toward a crowdsourced smartphone-based earthquake early warning system
Bulletin of the Seismological Society of America (June 2016) 106 (3): 1088-1099

Abstract

The Earthquake Network research project aims at implementing a global scale earthquake early warning system using smartphones as accelerometers. Software at the central server declares an earthquake when the number of smartphones reporting shaking during the past 30 s exceeds a threshold based on the expected number of reports in the absence of shaking due to earthquake waves. In this article, data collected by the smartphone network of the project are analyzed to understand whether they are informative enough to derive preliminary estimates of an earthquake epicenter. Data consist of the spatial position of the smartphones and the server receiving times. From the preliminary analysis of the smartphone data, it is clear that the signal times do not show systematic moveout as expected for seismic phases. For this reason, a new methodology that exploits the high number of smartphones in the network is developed. In particular, the epicenter is estimated by considering only the spatial locations of the smartphones that reported the earthquake and the spatial locations of the smartphones that did not. A nonparametric approach and a model-based approach are introduced and their epicenter estimation capabilities are studied by means of data from simulated earthquakes and data from 49 earthquakes detected by the system in Chile. Online Material: Estimation results for the 49 earthquakes detected by the earthquake early warning (EEW) system of the Earthquake Network (EN) project in Chile from 16 September to 11 November 2015.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 106
Serial Issue: 3
Title: The Earthquake Network Project; toward a crowdsourced smartphone-based earthquake early warning system
Author(s): Finazzi, Francesco
Affiliation: University of Bergamo, Department of Management, Information and Production Engineering, Bergamo, Italy
Pages: 1088-1099
Published: 201606
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 27
Accession Number: 2016-083611
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 3 tables
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201640
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