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Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017

With the rapid development of the Global Navigation Satellite System (GNSS) and its wide applications to atmospheric science research, the global ionosphere map (GIM) total electron content (TEC) data are extensively used as a potential tool to detect ionospheric disturbances related to seismic acti...

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Autores principales: Zhu, Fuying, Jiang, Yingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581525/
https://www.ncbi.nlm.nih.gov/pubmed/33093593
http://dx.doi.org/10.1038/s41598-020-74995-w
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author Zhu, Fuying
Jiang, Yingchun
author_facet Zhu, Fuying
Jiang, Yingchun
author_sort Zhu, Fuying
collection PubMed
description With the rapid development of the Global Navigation Satellite System (GNSS) and its wide applications to atmospheric science research, the global ionosphere map (GIM) total electron content (TEC) data are extensively used as a potential tool to detect ionospheric disturbances related to seismic activity and they are frequently used to statistically study the relation between the ionosphere and earthquakes (EQs). Indeed, due to the distribution of ground based GPS receivers is very sparse or absent in large areas of ocean, the GIM-TEC data over oceans are results of interpolation between stations and extrapolation in both space and time, and therefore, they are not suitable for studying the marine EQs. In this paper, based on the GIM-TEC data, a statistical investigation of ionospheric TEC variations of 15 days before and after the 276 M ≥ 6.0 inland EQs is undertaken. After eliminating the interference of geomagnetic activities, the spatial and temporal distributions of the ionospheric TEC disturbances before and after the EQs are investigated and compared. There are no particularly distinct features in the time distribution of the ionospheric TEC disturbances before the inland EQs. However, there are some differences in the spatial distribution, and the biggest difference is precisely in the epicenter area. On the other hand, the occurrence rates of ionospheric TEC disturbances within 5 days before the EQs are overall higher than those after EQs, in addition both of them slightly increase with the earthquake magnitude. These results suggest that the anomalous variations of the GIM-TEC before the EQs might be related to the seismic activities.
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spelling pubmed-75815252020-10-23 Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017 Zhu, Fuying Jiang, Yingchun Sci Rep Article With the rapid development of the Global Navigation Satellite System (GNSS) and its wide applications to atmospheric science research, the global ionosphere map (GIM) total electron content (TEC) data are extensively used as a potential tool to detect ionospheric disturbances related to seismic activity and they are frequently used to statistically study the relation between the ionosphere and earthquakes (EQs). Indeed, due to the distribution of ground based GPS receivers is very sparse or absent in large areas of ocean, the GIM-TEC data over oceans are results of interpolation between stations and extrapolation in both space and time, and therefore, they are not suitable for studying the marine EQs. In this paper, based on the GIM-TEC data, a statistical investigation of ionospheric TEC variations of 15 days before and after the 276 M ≥ 6.0 inland EQs is undertaken. After eliminating the interference of geomagnetic activities, the spatial and temporal distributions of the ionospheric TEC disturbances before and after the EQs are investigated and compared. There are no particularly distinct features in the time distribution of the ionospheric TEC disturbances before the inland EQs. However, there are some differences in the spatial distribution, and the biggest difference is precisely in the epicenter area. On the other hand, the occurrence rates of ionospheric TEC disturbances within 5 days before the EQs are overall higher than those after EQs, in addition both of them slightly increase with the earthquake magnitude. These results suggest that the anomalous variations of the GIM-TEC before the EQs might be related to the seismic activities. Nature Publishing Group UK 2020-10-22 /pmc/articles/PMC7581525/ /pubmed/33093593 http://dx.doi.org/10.1038/s41598-020-74995-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhu, Fuying
Jiang, Yingchun
Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title_full Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title_fullStr Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title_full_unstemmed Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title_short Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017
title_sort investigation of gim-tec disturbances before m ≥ 6.0 inland earthquakes during 2003–2017
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581525/
https://www.ncbi.nlm.nih.gov/pubmed/33093593
http://dx.doi.org/10.1038/s41598-020-74995-w
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