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Real-time earthquake monitoring using a search engine method
When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damag...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268708/ https://www.ncbi.nlm.nih.gov/pubmed/25472861 http://dx.doi.org/10.1038/ncomms6664 |
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author | Zhang, Jie Zhang, Haijiang Chen, Enhong Zheng, Yi Kuang, Wenhuan Zhang, Xiong |
author_facet | Zhang, Jie Zhang, Haijiang Chen, Enhong Zheng, Yi Kuang, Wenhuan Zhang, Xiong |
author_sort | Zhang, Jie |
collection | PubMed |
description | When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an M(w) 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake’s parameters in <1 s after receiving the long-period surface wave data. |
format | Online Article Text |
id | pubmed-4268708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42687082014-12-29 Real-time earthquake monitoring using a search engine method Zhang, Jie Zhang, Haijiang Chen, Enhong Zheng, Yi Kuang, Wenhuan Zhang, Xiong Nat Commun Article When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within a few seconds, but estimating the source-focal mechanism may require minutes to hours. Here we present an earthquake search engine, similar to a web search engine, that we developed by applying a computer fast search method to a large seismogram database to find waveforms that best fit the input data. Our method is several thousand times faster than an exact search. For an M(w) 5.9 earthquake on 8 March 2012 in Xinjiang, China, the search engine can infer the earthquake’s parameters in <1 s after receiving the long-period surface wave data. Nature Pub. Group 2014-12-04 /pmc/articles/PMC4268708/ /pubmed/25472861 http://dx.doi.org/10.1038/ncomms6664 Text en Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhang, Jie Zhang, Haijiang Chen, Enhong Zheng, Yi Kuang, Wenhuan Zhang, Xiong Real-time earthquake monitoring using a search engine method |
title | Real-time earthquake monitoring using a search engine method |
title_full | Real-time earthquake monitoring using a search engine method |
title_fullStr | Real-time earthquake monitoring using a search engine method |
title_full_unstemmed | Real-time earthquake monitoring using a search engine method |
title_short | Real-time earthquake monitoring using a search engine method |
title_sort | real-time earthquake monitoring using a search engine method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268708/ https://www.ncbi.nlm.nih.gov/pubmed/25472861 http://dx.doi.org/10.1038/ncomms6664 |
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