Cargando…

Crowdsourcing triggers rapid, reliable earthquake locations

In many cases, it takes several minutes after an earthquake to publish online a seismic location with confidence. Via monitoring for specific types of increased website, app, or Twitter usage, crowdsourced detection of seismic activity can be used to “seed” the search in the seismic data for an eart...

Descripción completa

Detalles Bibliográficos
Autores principales: Steed, Robert J., Fuenzalida, Amaya, Bossu, Rémy, Bondár, István, Heinloo, Andres, Dupont, Aurelien, Saul, Joachim, Strollo, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447384/
https://www.ncbi.nlm.nih.gov/pubmed/30949577
http://dx.doi.org/10.1126/sciadv.aau9824
_version_ 1783408495804022784
author Steed, Robert J.
Fuenzalida, Amaya
Bossu, Rémy
Bondár, István
Heinloo, Andres
Dupont, Aurelien
Saul, Joachim
Strollo, Angelo
author_facet Steed, Robert J.
Fuenzalida, Amaya
Bossu, Rémy
Bondár, István
Heinloo, Andres
Dupont, Aurelien
Saul, Joachim
Strollo, Angelo
author_sort Steed, Robert J.
collection PubMed
description In many cases, it takes several minutes after an earthquake to publish online a seismic location with confidence. Via monitoring for specific types of increased website, app, or Twitter usage, crowdsourced detection of seismic activity can be used to “seed” the search in the seismic data for an earthquake and reduce the risk of false detections, thereby accelerating the publication of locations for felt earthquakes. We demonstrate that this low-cost approach can work at the global scale to produce reliable and rapid results. The system was retroactively tested on a set of real crowdsourced detections of earthquakes made during 2016 and 2017, with 50% of successful locations found within 103 s, 76 s faster than GEOFON and 271 s faster than the European-Mediterranean Seismological Centre’s publication times, and 90% of successful locations found within 54 km of the final accepted epicenter.
format Online
Article
Text
id pubmed-6447384
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-64473842019-04-04 Crowdsourcing triggers rapid, reliable earthquake locations Steed, Robert J. Fuenzalida, Amaya Bossu, Rémy Bondár, István Heinloo, Andres Dupont, Aurelien Saul, Joachim Strollo, Angelo Sci Adv Research Articles In many cases, it takes several minutes after an earthquake to publish online a seismic location with confidence. Via monitoring for specific types of increased website, app, or Twitter usage, crowdsourced detection of seismic activity can be used to “seed” the search in the seismic data for an earthquake and reduce the risk of false detections, thereby accelerating the publication of locations for felt earthquakes. We demonstrate that this low-cost approach can work at the global scale to produce reliable and rapid results. The system was retroactively tested on a set of real crowdsourced detections of earthquakes made during 2016 and 2017, with 50% of successful locations found within 103 s, 76 s faster than GEOFON and 271 s faster than the European-Mediterranean Seismological Centre’s publication times, and 90% of successful locations found within 54 km of the final accepted epicenter. American Association for the Advancement of Science 2019-04-03 /pmc/articles/PMC6447384/ /pubmed/30949577 http://dx.doi.org/10.1126/sciadv.aau9824 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Steed, Robert J.
Fuenzalida, Amaya
Bossu, Rémy
Bondár, István
Heinloo, Andres
Dupont, Aurelien
Saul, Joachim
Strollo, Angelo
Crowdsourcing triggers rapid, reliable earthquake locations
title Crowdsourcing triggers rapid, reliable earthquake locations
title_full Crowdsourcing triggers rapid, reliable earthquake locations
title_fullStr Crowdsourcing triggers rapid, reliable earthquake locations
title_full_unstemmed Crowdsourcing triggers rapid, reliable earthquake locations
title_short Crowdsourcing triggers rapid, reliable earthquake locations
title_sort crowdsourcing triggers rapid, reliable earthquake locations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447384/
https://www.ncbi.nlm.nih.gov/pubmed/30949577
http://dx.doi.org/10.1126/sciadv.aau9824
work_keys_str_mv AT steedrobertj crowdsourcingtriggersrapidreliableearthquakelocations
AT fuenzalidaamaya crowdsourcingtriggersrapidreliableearthquakelocations
AT bossuremy crowdsourcingtriggersrapidreliableearthquakelocations
AT bondaristvan crowdsourcingtriggersrapidreliableearthquakelocations
AT heinlooandres crowdsourcingtriggersrapidreliableearthquakelocations
AT dupontaurelien crowdsourcingtriggersrapidreliableearthquakelocations
AT sauljoachim crowdsourcingtriggersrapidreliableearthquakelocations
AT strolloangelo crowdsourcingtriggersrapidreliableearthquakelocations