Journal of Seismology

, Volume 20, Issue 1, pp 137–149 | Cite as

Statistical analysis of seismo-ionospheric anomalies related to Ms > 5.0 earthquakes in China by GPS TEC

  • Fuyang Ke
  • Yueliang Wang
  • Xinzhi Wang
  • Hui Qian
  • Chuang Shi
Original Article


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.


Statistical analysis Seismo-ionospheric anomalies GPS TEC Ms > 5.0 earthquakes Sliding quartiles 



The study was supported by The National Natural Science Funds (grant no. 41304036), Postdoctoral Science Funds of China (grant no. 2013 M540605), the Natural Science Funds of the Jiangsu Higher Education Institutions of China (grant no. 12KJB420003), and the Scientific Research Foundation for the CMA Key Laboratory for Aerosol Cloud Precipitation (grant no. KDW1204).


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Fuyang Ke
    • 1
    • 2
  • Yueliang Wang
    • 3
  • Xinzhi Wang
    • 2
  • Hui Qian
    • 2
  • Chuang Shi
    • 1
  1. 1.GNSS Research CenterWuhan UniversityWuhanChina
  2. 2.School of Geography and Remote SensingNanjing University of Information Science & TechnologyNanjingChina
  3. 3.College of Surveying and Geo-InformaticsTongji UniversityShanghaiChina

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