NDLI: Statistical analysis of seismo-ionospheric anomalies related to Ms

Content Provider	Springer Nature Link
Author	Ke, Fuyang Wang, Yueliang Wang, Xinzhi Qian, Hui Shi, Chuang
Copyright Year	2015
Abstract	To quantitatively study the relationship between earthquakes and ionospheric total electron content (TEC) anomalies, 24 5.0 < Ms < 8.0 earthquakes in China from 2003 to 2013 were selected and the global ionosphere maps from the International GNSS Service 20 days before and after each earthquake were analyzed. Significant negative and positive total electron content anomalies were observed; the averages of the absolute anomalies before the earthquakes were higher than after the earthquakes. The anomalies were not all negative or positive 5 days before the earthquakes and were not continuous. Anomalous areas were found close to the epicenters in all the earthquakes at the time of the earthquake, showing vortex distributions. The absolute Dst and Kp indexes of the 7.0 < Ms < 8.0 earthquakes were more than 50 nT and 4, respectively, in the 20 days period before most of the earthquakes. Our study confirms the premise that extreme solar and geomagnetic activities may lead to earthquakes. This study also showed that the negative and positive TEC anomalies during Ms > 5.0 earthquakes are not continuous and regular. The TEC anomalies were not proportional to the earthquake magnitudes and all the anomalies on the day of the earthquake at the epicenters were not significantly higher or lower than on other days.
Starting Page	137
Ending Page	149
Page Count	13
File Format	PDF
ISSN	13834649
Journal	Journal of Seismology
Volume Number	20
Issue Number	1
e-ISSN	1573157X
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-11-11
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Statistical analysis Seismo-ionospheric anomalies GPS TEC Ms > 5.0 earthquakes Sliding quartiles Geophysics/Geodesy Structural Geology Hydrogeology Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Geochemistry and Petrology Geophysics

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