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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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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 |
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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 |
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