Ionospheric earthquake effects detection based on Total Electron Content (TEC) GPS Correlation

41st HAGI Annual Convention and Exhibition 2016

Sunardi, Bambang^1 ; Muslim, Buldan^2 ; Sakya, Andi Eka^1 ; Rohadi, Supriyanto^1 ; Sulastri, S.^1 ; Murjaya, Jaya^1

Indonesian Meteorological Climatological and Geophysical Agency, Kemayoran Jakarta, Indonesia^1

Space Science Center, Indonesian National Institute of Aeronautics and Space, Bandung

40173, Indonesia^2

关键词: Correlation coefficient;    Early Warning System;    Geomagnetic disturbance;    Global ionosphere maps;    Ionospheric total electron content;    Observation networks;    Science and Technology;    Total electron content;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/132/1/012014/pdf
DOI  :  10.1088/1755-1315/132/1/012014

来源: IOP

【 摘 要 】

Advances in science and technology showed that ground-based GPS receiver was able to detect ionospheric Total Electron Content (TEC) disturbances caused by various natural phenomena such as earthquakes. One study of Tohoku (Japan) earthquake, March 11, 2011, magnitude M 9.0 showed TEC fluctuations observed from GPS observation network spread around the disaster area. This paper discussed the ionospheric earthquake effects detection using TEC GPS data. The case studies taken were Kebumen earthquake, January 25, 2014, magnitude M 6.2, Sumba earthquake, February 12, 2016, M 6.2 and Halmahera earthquake, February 17, 2016, M 6.1. TEC-GIM (Global Ionosphere Map) correlation methods for 31 days were used to monitor TEC anomaly in ionosphere. To ensure the geomagnetic disturbances due to solar activity, we also compare with Dst index in the same time window. The results showed anomalous ratio of correlation coefficient deviation to its standard deviation upon occurrences of Kebumen and Sumba earthquake, but not detected a similar anomaly for the Halmahera earthquake. It was needed a continous monitoring of TEC GPS data to detect the earthquake effects in ionosphere. This study giving hope in strengthening the earthquake effect early warning system using TEC GPS data. The method development of continuous TEC GPS observation derived from GPS observation network that already exists in Indonesia is needed to support earthquake effects early warning systems.