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http://dx.doi.org/10.12673/jant.2018.22.2.49

Analysis on Normal Ionospheric Trend and Detection of Ionospheric Disturbance by Earthquake  

Kang, Seonho (Mechanical and Aerospace Engineering, Seoul National University, Institute of Advanced Machines and Design)
Song, Junesol (Mechanical and Aerospace Engineering, Seoul National University, Institute of Advanced Machines and Design)
Kim, O-jong (Mechanical and Aerospace Engineering, Seoul National University, Institute of Advanced Machines and Design)
Kee, Changdon (Mechanical and Aerospace Engineering, Seoul National University, Institute of Advanced Machines and Design)
Abstract
As the energy generated by earthquake, tsunami, etc. propagates through the air and disturbs the electron density in the ionosphere, the perturbation can be detected by analyzing the ionospheric delay in satellite signal. The electron density in the ionosphere is affected by various factors such as solar activity, latitude, season, and local time. To distinguish from the anomaly, therefore, it is required to inspect the normal trend of the ionosphere. Also, as the perturbation magnitude diminishes by distance it is necessary to develop an appropriate algorithm to detect long-distance disturbances. In this paper, normal condition ionosphere trend is analyzed via IONEX data. We selected monitoring value that has no tendency and developed an algorithm to effectively detect the long-distance ionospheric disturbances by using the lasting characteristics of the disturbances. In the end, we concluded the $2^{nd}$ derivative of ionospheric delay would be proper monitoring value, and the false alarm with the developed algorithm turned out to be 1.4e-6 level. It was applied to 2011 Tohoku earthquake case and the ionospheric disturbance was successfully detected.
Keywords
Earthquake; Tsunami; Ionospheric disturbance; Total electron content; GNSS;
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Times Cited By KSCI : 1  (Citation Analysis)
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