TY - GEN
T1 - Application of thresholding correlation techniques for earthquake precursor detection from ionospheric TEC data
AU - Muslim, Buldan
AU - Cahyadi, Muhammad Nur
AU - Sunardi, Bambang
AU - Sulastri,
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/7/18
Y1 - 2018/7/18
N2 - Based on thresholding correlation techniques, the ionospheric TEC (Total Electron Content) anomalies are grouped into earthquake precursors if they met the criteria of a TEC anomaly that exceeds the threshold value and no geomagnetic storm events in the previus 0-2 days. Testing of the thresholding correlation techniques on ionospheric diurnal variations of GIM (Global Ionospheric Map) TEC data which were limited to cases of earthquakes above 8 Richter Scale, it gave test results of 60% successful of earthquake precursor detection. By using ame method, we have examined the thresholding correlation techniques for earthquake cases between Mw 7 - 8 magnitudes during 2016. The earthquakes' latitude were spread from high until mid-latitude and equatorial, so they gave very good analysis. The test results showed that there were 11 out of 16 cases or about 69% of ionospheric TEC anomalies can be classified as earthquake precursors, which could be seen 1 day up to few weeks before earthquakes. This percentage is slightly larger than the percentage of earthquake precursors over Mw 8 detected by the same technique which was only 63%. This is due to relatively fewer geomagnetic storms during the year 2016 compared to 2000 - 2012 periods that experiencing two peaks of maximum solar cycles. From two different periods of testing, it can be concluded that the thresholding correlation techniques have a greater chance for detecting earthquake precursors during low and minimum solar activity.
AB - Based on thresholding correlation techniques, the ionospheric TEC (Total Electron Content) anomalies are grouped into earthquake precursors if they met the criteria of a TEC anomaly that exceeds the threshold value and no geomagnetic storm events in the previus 0-2 days. Testing of the thresholding correlation techniques on ionospheric diurnal variations of GIM (Global Ionospheric Map) TEC data which were limited to cases of earthquakes above 8 Richter Scale, it gave test results of 60% successful of earthquake precursor detection. By using ame method, we have examined the thresholding correlation techniques for earthquake cases between Mw 7 - 8 magnitudes during 2016. The earthquakes' latitude were spread from high until mid-latitude and equatorial, so they gave very good analysis. The test results showed that there were 11 out of 16 cases or about 69% of ionospheric TEC anomalies can be classified as earthquake precursors, which could be seen 1 day up to few weeks before earthquakes. This percentage is slightly larger than the percentage of earthquake precursors over Mw 8 detected by the same technique which was only 63%. This is due to relatively fewer geomagnetic storms during the year 2016 compared to 2000 - 2012 periods that experiencing two peaks of maximum solar cycles. From two different periods of testing, it can be concluded that the thresholding correlation techniques have a greater chance for detecting earthquake precursors during low and minimum solar activity.
UR - https://www.scopus.com/pages/publications/85050825442
U2 - 10.1063/1.5047359
DO - 10.1063/1.5047359
M3 - Conference contribution
AN - SCOPUS:85050825442
T3 - AIP Conference Proceedings
BT - International Symposium on Earth Hazard and Disaster Mitigation, ISEDM 2017
A2 - Meilano, Irwan
A2 - Ito, Takeo
A2 - Cummins, Phil R.
A2 - Zulfakriza, null
PB - American Institute of Physics Inc.
T2 - 7th International Symposium on Earth Hazard and Disaster Mitigation, ISEDM 2017
Y2 - 20 November 2017 through 21 November 2017
ER -