The cross correlation method response prior to earthquakes using foF2 data from various ionospheric stations

Benghanem, K.; Kahlouche, Salem; Abtout, Abdeslam; Beldjoudi, H.

doi:10.1016/j.asr.2019.01.016

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Seismo-ionospheric detection is one of the new technologies used for the short-term monitoring and prediction of earthquakes, as well as an important means of studying the sphere-coupling mechanism [1]. Since the ionospheric perturbations that occurred before the 1964 M 9.2 Alaska earthquake were observed by Leonard and Barnes (1965) [2], many studies [3][4][5][6][7] have demonstrated that these ionospheric perturbations do exist and that there is a high probability (>70%) of detecting the ionospheric perturbations related to M > 6.0 earthquakes [8].…”

Section: Introductionmentioning

confidence: 99%

Seismo-Ionospheric Effects Prior to Two Earthquakes in Taiwan Detected by the China Seismo-Electromagnetic Satellite

et al. 2022

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In this paper, we focused on the characteristics of the seismo-ionospheric effects related to two successive earthquakes, namely, the earthquakes in 2022 in Taitung Sea, Taiwan, China, with magnitudes (M) of 6.7 and 6.3, at 23.45° N, 121.55° E and 23.39° N, 121.52° E and with the same focal depth of 20 km, which were detected by the China Seismo-Electromagnetic Satellite (CSES). By applying the sliding interquartile range method to electron density (Ne) data acquired by the Langmuir probe (LAP) onboard the CSES and the grid total electron content (TEC) data obtained from the Center for Orbit Determination in Europe (CODE), positive anomalies were found under quiet geomagnetic conditions on 2‒3 March and 8‒9 March 2022—that is, 19–20 and 13–14 d before the earthquakes, respectively, and the global ionospheric mapping (GIM) TEC data suggested that anomalies may also have been triggered in the magnetic conjugate area 13–14 d prior to the earthquakes occurrences. In addition, the CSES Ne data showed enhancements 3 and 5 d before the earthquakes occurred. Furthermore, 138 earthquakes with M ≥ 5.0 that occurred in Taiwan and the surrounding region during the period February 2019 to March 2022 were statistically analyzed using the CSES Ne data. The results show that most of the Ne anomalies were positive. Moreover, the greater the earthquake magnitude, the greater the frequency of the anomalies; however, the amplitude of the anomalies did not increase with the earthquake magnitude. The anomalies were concentrated during the period of 10 d before to 5 d after the earthquakes. No increase in the amplitude of anomalies was observed as the time of the earthquakes approached. Finally, based on evidence relating to earthquake precursor anomalies, we conclude that it is possible that earthquakes in Taiwan and the surrounding region affect the ionosphere through the geochemical, acoustic, and electromagnetic channels, as described by the lithosphere‒atmosphere‒ionosphere coupling (LAIC) model, and that the two studied earthquakes in Taiwan may have induced ionospheric effects through the geochemical channel.

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