2023
DOI: 10.1155/2023/7159204
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Preseismic Perturbations and their Inhomogeneity as Computed from Ground‐ and Space‐Based Investigation during the 2016 Fukushima Earthquake

Abstract: We present the atmospheric anomalies instigated through seismogenic sources by a multichannel observation using ground- and satellite-based systems. This study emphasizes the seismic event which happened on the east coast of Japan, near the Fukushima Prefecture on November 21, 2016 (in UTC), with a magnitude of 6.9 and a depth of 11.4 km. We mainly focus on the atmospheric and ionospheric irregularities via acoustic and electromagnetic channels originating from earthquakes in the process of the lithosphere, at… Show more

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Cited by 5 publications
(2 citation statements)
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“…Other phenomena like thermal anomalies [Peleli et al, 2022] and sub-ionospheric VLF anomalies [Politis et al, 2023] also show significant seismogenic effects.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Other phenomena like thermal anomalies [Peleli et al, 2022] and sub-ionospheric VLF anomalies [Politis et al, 2023] also show significant seismogenic effects.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, this particle burst can be treated as significant indirect evidence of the seismogenic anomalies in the upper atmosphere. In the upper atmosphere, ionospheric variabilities during and before EQs can be well estimated through Pre-seismic anomalies in multi-parameters the sub-ionospheric VLF radio-sounding techniques [Chakrabarti et al, 2005;Chakrabarti et al, 2007;Sasmal et al, 2009;Chakrabarti et al, 2010;Chakraborty et al, 2017;Biswas et al, 2022;Biswas et al, 2023;Ghosh et al, 2019;Pal et al, 2017;Maurya et al, 2016;Nina et al, 2021;Politis et al, 2021;Potirakis et al, 2018a;Ray et al, 2010;Ray et al, 2011;Ray et al, 2012;Sasmal et al, 2010;Sasmal et al, 2014;Yoshida et al, 2008;Rozhnoi et al, 2014a;Rozhnoi et al, 2013;Popov et al, 2004]. Another important parameter is the F-layer's critical frequency, which shows significant anomalies before the EQs [Ghosh et al, 2017].…”
Section: Introductionmentioning
confidence: 99%