Statistical correlation analysis of strong earthquakes and ionospheric electron density anomalies as observed by CSES-01
Author(s)
Language
English
Obiettivo Specifico
7T. Variazioni delle caratteristiche crostali e "precursori"
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Issue/vol(year)
4-5/44 (2021)
ISSN
2037-4909
Electronic ISSN
1826-9885
Publisher
SOCIETÀ ITALIANA DI FISICA
Pages (printed)
119
Date Issued
June 2021
Alternative Location
Subjects
Abstract
In this work, we preliminary analyse ionospheric electron density
as observed by the first China Seismo-Electromagnetic Satellite (CSES-01) from
April 2018 to July 2019, defining an anomaly along each track objectively. We then
apply a worldwide statistical correlation in space and time of these anomalies with
respect to M5.5+ shallow earthquakes (USGS source) occurred in the same period.
Although the data are short and cover discontinuously the period of concern, in
general, the preliminary results seem to confirm those obtained with an analogous
analysis on the Swarm satellite data recently published in De Santis A. et al., Sci.
Rep., 9, (2019) 20287.
as observed by the first China Seismo-Electromagnetic Satellite (CSES-01) from
April 2018 to July 2019, defining an anomaly along each track objectively. We then
apply a worldwide statistical correlation in space and time of these anomalies with
respect to M5.5+ shallow earthquakes (USGS source) occurred in the same period.
Although the data are short and cover discontinuously the period of concern, in
general, the preliminary results seem to confirm those obtained with an analogous
analysis on the Swarm satellite data recently published in De Santis A. et al., Sci.
Rep., 9, (2019) 20287.
Sponsors
This work has been performed in the framework of four different projects: LIMADOUScienza,
funded by the Italian Space Agency, Further, funded by INGV, Working Earth
(Pianeta Dinamico CUP: D53J19000170001), funded by the Italian MUR ministry and
Dragon 5 cooperation 2020–2024 project (ID.59236).
funded by the Italian Space Agency, Further, funded by INGV, Working Earth
(Pianeta Dinamico CUP: D53J19000170001), funded by the Italian MUR ministry and
Dragon 5 cooperation 2020–2024 project (ID.59236).
References
Geller R. J., Geophys. J. Int., 131 (1997) 425.
[2] Pulinets S. and Boyarchuk K., Ionospheric Precursors of Earthquakes (Springer Berlin)
2004.
[3] Freund F., J. Asian Earth Sci., 9 (2011) .
[4] Kuo C. L. et al., J. Geophys. Res., 119 (2014) 3189.
[5] Pulinets S. and Ouzounov D., J. Asian Earth Sci., 41 (2011) 371.
[6] Sorokin V. M. and Hayakawa M., Mod. Appl. Sci., 7 (2013) 1.
[7] De Santis A. et al., Sci. Rep., 9 (2019) 20287.
[8] Dobrovolsky I. P. et al., Pure Appl. Geophys., 117 (1979) 1025.
[9] Parrot M. et al., in Earthquake Prediction Studies: Seismo Electromagnetics, edited by
Hayakawa M., (TERRAPUB, Tokyo) 2013, pp. 1–16.
[2] Pulinets S. and Boyarchuk K., Ionospheric Precursors of Earthquakes (Springer Berlin)
2004.
[3] Freund F., J. Asian Earth Sci., 9 (2011) .
[4] Kuo C. L. et al., J. Geophys. Res., 119 (2014) 3189.
[5] Pulinets S. and Ouzounov D., J. Asian Earth Sci., 41 (2011) 371.
[6] Sorokin V. M. and Hayakawa M., Mod. Appl. Sci., 7 (2013) 1.
[7] De Santis A. et al., Sci. Rep., 9 (2019) 20287.
[8] Dobrovolsky I. P. et al., Pure Appl. Geophys., 117 (1979) 1025.
[9] Parrot M. et al., in Earthquake Prediction Studies: Seismo Electromagnetics, edited by
Hayakawa M., (TERRAPUB, Tokyo) 2013, pp. 1–16.
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