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Correlation Between the Ionosphere Anomalies and the Earthquake in Albania M6.4R

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Advanced Technologies, Systems, and Applications V (IAT 2020)

Abstract

A strong earthquake (EQ) of the magnitude 6.4° on the Richter’s scale occurred in Albania on 26/11/2019 at 02:54 UT with an epicenter near Durres. The earthquake is triggered by deformations of the tectonic plates in the fault zone and caused human casualties and  huge material damage. Scientific studies have been conducting during recent decades, using different methods of geophysical research to find a way to forecast earthquakes for avoiding human losses and infrastructure damages. TEC (Total Electron Content) values in the ionosphere are estimated using observation of radio signal propagating from Global Navigation Satellite Systems (GNSS). The values of TEC are estimated by Ciraolo methodology using observation data of the Albanian Positioning Services and of the European Permanent Network (EPN). For the reduction of space weather impact on the GNSS observations, data of EPN stations out of EQ affected area are used, which radius is estimated by Dobrovolsky formula. The geomagnetic indices Dst and Kp are used to distinguish the disturbed state of the ionosphere what is reflected by the TEC anomalies related to the geomagnetic activities. Results show a detailed analysis of the VTEC values but also differences dVTEC between GNSS stations inside and outside of the earth preparation zone (EPZ). Results indicate that the occurrence of anomalous VTEC values in GNSS station located in the EPZ are statistically significant and can be attributed to the seismic impact, as they are not noticeable in the ionospheric signature of station Istanbul that is outside the EPZ.

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Correspondence to Medžida Mulić .

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Mulić, M., Natraš, R., Matić, S., Ćatić, J. (2021). Correlation Between the Ionosphere Anomalies and the Earthquake in Albania M6.4R. In: Avdaković, S., Volić, I., Mujčić, A., Uzunović, T., Mujezinović, A. (eds) Advanced Technologies, Systems, and Applications V. IAT 2020. Lecture Notes in Networks and Systems, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-030-54765-3_13

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