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Forecasting large aftershocks within one day after the main shock

Forecasting the aftershock probability has been performed by the authorities to mitigate hazards in the disaster area after a main shock. However, despite the fact that most of large aftershocks occur within a day from the main shock, the operational forecasting has been very difficult during this t...

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Autores principales: Omi, Takahiro, Ogata, Yosihiko, Hirata, Yoshito, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715793/
https://www.ncbi.nlm.nih.gov/pubmed/23860594
http://dx.doi.org/10.1038/srep02218
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author Omi, Takahiro
Ogata, Yosihiko
Hirata, Yoshito
Aihara, Kazuyuki
author_facet Omi, Takahiro
Ogata, Yosihiko
Hirata, Yoshito
Aihara, Kazuyuki
author_sort Omi, Takahiro
collection PubMed
description Forecasting the aftershock probability has been performed by the authorities to mitigate hazards in the disaster area after a main shock. However, despite the fact that most of large aftershocks occur within a day from the main shock, the operational forecasting has been very difficult during this time-period due to incomplete recording of early aftershocks. Here we propose a real-time method for efficiently forecasting the occurrence rates of potential aftershocks using systematically incomplete observations that are available in a few hours after the main shocks. We demonstrate the method's utility by retrospective early forecasting of the aftershock activity of the 2011 Tohoku-Oki Earthquake of M9.0 in Japan. Furthermore, we compare the results by the real-time data with the compiled preliminary data to examine robustness of the present method for the aftershocks of a recent inland earthquake in Japan.
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spelling pubmed-37157932013-07-19 Forecasting large aftershocks within one day after the main shock Omi, Takahiro Ogata, Yosihiko Hirata, Yoshito Aihara, Kazuyuki Sci Rep Article Forecasting the aftershock probability has been performed by the authorities to mitigate hazards in the disaster area after a main shock. However, despite the fact that most of large aftershocks occur within a day from the main shock, the operational forecasting has been very difficult during this time-period due to incomplete recording of early aftershocks. Here we propose a real-time method for efficiently forecasting the occurrence rates of potential aftershocks using systematically incomplete observations that are available in a few hours after the main shocks. We demonstrate the method's utility by retrospective early forecasting of the aftershock activity of the 2011 Tohoku-Oki Earthquake of M9.0 in Japan. Furthermore, we compare the results by the real-time data with the compiled preliminary data to examine robustness of the present method for the aftershocks of a recent inland earthquake in Japan. Nature Publishing Group 2013-07-17 /pmc/articles/PMC3715793/ /pubmed/23860594 http://dx.doi.org/10.1038/srep02218 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Omi, Takahiro
Ogata, Yosihiko
Hirata, Yoshito
Aihara, Kazuyuki
Forecasting large aftershocks within one day after the main shock
title Forecasting large aftershocks within one day after the main shock
title_full Forecasting large aftershocks within one day after the main shock
title_fullStr Forecasting large aftershocks within one day after the main shock
title_full_unstemmed Forecasting large aftershocks within one day after the main shock
title_short Forecasting large aftershocks within one day after the main shock
title_sort forecasting large aftershocks within one day after the main shock
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715793/
https://www.ncbi.nlm.nih.gov/pubmed/23860594
http://dx.doi.org/10.1038/srep02218
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