2023
DOI: 10.3390/geosciences13120356
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The Lithosphere-Atmosphere-Ionosphere Coupling of Multiple Geophysical Parameters Approximately 3 Hours Prior to the 2022 M6.8 Luding Earthquake

Chieh-Hung Chen,
Shengjia Zhang,
Zhiqiang Mao
et al.

Abstract: Investigating various geophysical parameters from the Earth’s crust to the upper atmosphere is considered a promising approach for predicting earthquakes. Scientists have observed that changes in these parameters can occur days to months before earthquakes. Understanding and studying the impending abnormal phenomena that precede earthquakes is both urgent and challenging. On 5 September 2022, a magnitude 6.8 earthquake occurred in Sichuan, China, at 4:52:18 (Universal Time). The earthquake happened approximate… Show more

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Cited by 2 publications
(2 citation statements)
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“…In addition to geomagnetic data, significant progress has been made in investigating the precursors associated with the Luding earthquake over the past two years [11]. Wu et al [56] analyzed the variations of the atmospheric electric field (AEF) in the 15 days leading up to the Luding earthquake.…”
Section: Superposed Epoch Analysis (Sea) For the Geomagnetic Topology...mentioning
confidence: 99%
See 1 more Smart Citation
“…In addition to geomagnetic data, significant progress has been made in investigating the precursors associated with the Luding earthquake over the past two years [11]. Wu et al [56] analyzed the variations of the atmospheric electric field (AEF) in the 15 days leading up to the Luding earthquake.…”
Section: Superposed Epoch Analysis (Sea) For the Geomagnetic Topology...mentioning
confidence: 99%
“…In particular, the development of the lithosphere-atmosphere-ionosphere coupling (LAIC) mechanism has brought us new findings and understandings of the process of earthquake preparation [5][6][7]. Currently, the most reliable methods of recognizing earthquake precursors are considered to be the multicomponent and multi-method analysis [8][9][10][11]. For example, Pulinets et al [12] adopted a multi-method way to validate the precursory phenomena in the ionospheric of the 1999 Hector Mine and 2019 Ridgecrest earthquakes: firstly, they computed the time-series of ∆TEC% around the earthquakes and found there are likely positive night-time deviations before the earthquakes; secondly, they started cognitive recognition through the precursor mask approach [13], which is a special visualization pattern analysis to check the possible precursors; thirdly, they revealed the increased spatial variability by calculating the root mean square deviation (RMSD) to further validate the precursor mask; next, to further prove that suspicious variations, they used a cross-correlation technique to reveal the reliability of the precursor mask [14]; and lastly, they demonstrated the precursors based on the physical mechanisms of their generation and the morphology of their behavior during the precursory period.…”
Section: Introductionmentioning
confidence: 99%