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Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis

Year 2017, Volume: 30 Issue: 4, 545 - 551, 11.12.2017

Abstract

Two-dimensional principal component analysis (2DPCA) were used to examine the ionospheric total electron content (TEC) data during the time period from 00:00 on 11 April to 00: 25 on 16 April (UT) 2016, which were 5 days before the Mw=7.3 Kyushu earthquake at 00:25:06 on 16 April 2016 (UT) with the epicenter (32.782°N, 130.726°E) and the depth of 10km. From the analysis result of 2DPCA, a TEC precursor was found localized nearby the epicenter during the time period from 06:20 to 06:25 on 11 April 2016 (UT) with the duration time of at least 5 minutes. The past studied by other researchers discusses potential reasons for TEC anomaly due to large earthquake mainly including radon gas release, P-type semiconductor effect (electric fields) and shock-acoustic waves for the TEC anomaly However, the possible reasons of the TEC anomaly related to this earthquake should be radon gas release and P-type semiconductor effects before the earthquake. Shock-acoustic wave was impossible reason because before this earthquake, large ground surface vibrations that formed shock-acoustic waves were not detected.

References

  • [1] Antonopoulos-Domis, M., S. Xanthos, A. Clouvas and D. Alifrangis, , Experimental and theoretical study of radon distribution in soil. Health Physics, Vol. 97, No. 4. 322-331.(2009)
Year 2017, Volume: 30 Issue: 4, 545 - 551, 11.12.2017

Abstract

References

  • [1] Antonopoulos-Domis, M., S. Xanthos, A. Clouvas and D. Alifrangis, , Experimental and theoretical study of radon distribution in soil. Health Physics, Vol. 97, No. 4. 322-331.(2009)
There are 1 citations in total.

Details

Journal Section Physics
Authors

Jyh-woei Lin

Publication Date December 11, 2017
Published in Issue Year 2017 Volume: 30 Issue: 4

Cite

APA Lin, J.-w. (2017). Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis. Gazi University Journal of Science, 30(4), 545-551.
AMA Lin Jw. Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis. Gazi University Journal of Science. December 2017;30(4):545-551.
Chicago Lin, Jyh-woei. “Ionospheric Anomalies Related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake Using Two-Dimensional Principal Component Analysis”. Gazi University Journal of Science 30, no. 4 (December 2017): 545-51.
EndNote Lin J-w (December 1, 2017) Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis. Gazi University Journal of Science 30 4 545–551.
IEEE J.-w. Lin, “Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis”, Gazi University Journal of Science, vol. 30, no. 4, pp. 545–551, 2017.
ISNAD Lin, Jyh-woei. “Ionospheric Anomalies Related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake Using Two-Dimensional Principal Component Analysis”. Gazi University Journal of Science 30/4 (December 2017), 545-551.
JAMA Lin J-w. Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis. Gazi University Journal of Science. 2017;30:545–551.
MLA Lin, Jyh-woei. “Ionospheric Anomalies Related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake Using Two-Dimensional Principal Component Analysis”. Gazi University Journal of Science, vol. 30, no. 4, 2017, pp. 545-51.
Vancouver Lin J-w. Ionospheric Anomalies related to the (Mw=7.3), 16 April 2016 Kyushu Earthquake using Two-Dimensional Principal Component Analysis. Gazi University Journal of Science. 2017;30(4):545-51.