1887
Volume 43, Issue 7
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

Understanding pre-seismic gases and surface anomalies is crucial for improving earthquake risk assessment. This study analyses remote sensing data from Sentinel-5P, Aqua-AIRS, and Sentinel-1 satellites to detect potential pre-seismic anomalies associated with seven earthquakes (M > 6) between 2017 and 2023. Atmospheric variables (CO, CH, CO, O, surface temperature, water vapour, and aerosol optical depth) and surface deformation patterns were evaluated two to five months before the main events. Results reveal consistent trends, particularly in gases, although differences between events suggest the influence of tectonic setting and seismic preparation processes. These findings support integrating multi-parameter remote sensing data into pre-earthquake monitoring strategies.

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2025-07-01
2025-07-20
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References

  1. Akhoondzadeh, M. [2024]. Earthquake prediction using satellite data: Advances and ahead challenges. Advances in Space Research.
    [Google Scholar]
  2. Akhoondzadeh, M. and Marchetti, D. [2023]. Study of the preparation phase of Turkey's powerful earthquake (February 6th, 2023) by a geophysical multi-parametric fuzzy inference system. Remote Sensing, 15(9), 2224.
    [Google Scholar]
  3. Cui, Y., Huang, J., Zeng, Z. and Zou, Z. [2024]. CO emissions associated with three major earthquakes occurring in diverse tectonic environments. Remote Sensing, 16(3), 480.
    [Google Scholar]
  4. Cui, Y., Ouzounov, D., Hatzopoulos, N., Sun, K., Zou, Z. and Du, J. [2017]. Satellite observation of CH4 and CO anomalies associated with the Wenchuan MS 8.0 and Lushan MS 7.0 earthquakes in China. Chemical Geology, 469, 185–191.
    [Google Scholar]
  5. Cui, Y., Sun, F., Huang, J., Jiang, L., Zou, Z. and Du, J. [2024]. Variations in CH4 and CO2 emissions linked to tectonic deformation: Insights from satellite observations. Geochemistry, Geophysics, Geosystems, 25(4).
    [Google Scholar]
  6. Hooper, A., Zebker, H., Segall, P. and Kampes, B. [2004]. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophysical Research Letters, 31(23), L23611.
    [Google Scholar]
  7. Huang, Y., Cui, J., Zhima, Z., Jiang, D., Wang, X. and Wang, L. [2024]. Construction of a fine extraction process for seismic methane anomalies based on remote sensing: The case of the February 6th, 2023, Türkiye–Syria earthquake. Remote Sensing, 16(16), 2936.
    [Google Scholar]
  8. Khan, M.M., Ghaffar, B., Shahzad, R., Khan, M.R., Shah, M., Amin, A.H., Eldin, S.M., Naqvi, N.A. and Ali, R. [2022]. Atmospheric anomalies associated with the 2021 Mw 7.2 Haiti earthquake using machine learning from multiple satellites. Sustainability, 14(22), 14782.
    [Google Scholar]
  9. Meng, Q. and Zhang, Y. [2021]. Discovery of spatial-temporal causal interactions between thermal and methane anomalies associated with the Wenchuan earthquake. The European Physical Journal Special Topics, 230(1), 247–261.
    [Google Scholar]
  10. Panchal, H., Saraf, A.K., Das, J. and Dwivedi, D. [2022]. Satellite-based detection of pre-earthquake thermal anomaly, coseismic deformation, and source parameter modelling of past earthquakes. Natural Hazards Research, 2, 287–303.
    [Google Scholar]
  11. Pechnikov, A. [2025]. PyGMTSAR (Python InSAR) [Software]. INSAR.dev.
    [Google Scholar]
  12. Pulinets, S. and Ouzounov, D. [2010]. Lithosphere-Atmosphere–Iono-sphere Coupling (LAIC) model – A unified concept for earthquake precursors validation. Journal of Asian Earth Sciences, 41(4–5), 371–382.
    [Google Scholar]
  13. Velázquez-Bucio, M.M., Ferrario, M.F., Lacan, P., Muccignato, E., Pizza, M., Sridharan, A., Porfido, S., Gopalan, S., Núñez-Meneses, A. and Michetti, A.M. [2024]. Environmental effects and ESI-07 intensity of the Mw 7.7, September 19th, 2022, Michoacán, Mexico, earthquake. Engineering Geology, 343, 107776.
    [Google Scholar]
  14. Wright, T.J. [2002]. Remote monitoring of the earthquake cycle using satellite radar interferometry. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 360(1801), 2873–2888.
    [Google Scholar]
  15. Xu, X., Chen, S., Yu, Y. and Zhang, S. [2021]. Atmospheric anomaly analysis related to Ms > 6.0 earthquakes in China during 2020–2021. Remote Sensing, 13(20), 4052.
    [Google Scholar]
  16. Zheng, C., Cui, Y., Jiang, L., Huang, J., Sun, F., Zou, Z. and Du, J. [2023]. Variations of multiple gaseous emissions associated with the great Sumatra earthquakes in 2004 and 2005. Chemical Geology, 618, 121311.
    [Google Scholar]
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