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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 2, pp. 81-90

Atmospheric effects of the largest earthquakes in the Alpine-Himalayan seismic belt

L.G. Sverdlik 1, 2 
1 Research Station RAS in Bishkek City, Bishkek, Kyrgyzstan
2 Kyrgyz–Russian Slavic University, Bishkek, Kyrgyzstan
Accepted: 28.04.2022
DOI: 10.21046/2070-7401-2022-19-2-81-90
The upper troposphere and lower stratosphere (UTLS) is a dynamic region exposed to impacts of various perturbations which can be traced by temperature changes. Within this study the task was to identify anomalous temperature changes which can be associated with large seismic events. Satellite measurements (MERRA-2) within periods of preparation of four destructive earthquakes of M > 7.5 occurred in the Alpine-Himalayan seismic belt: in China (2008), Iran, Pakistan (2013) and Nepal (2015). To identify pre-seismic perturbations a new approach to the analysis of spatial-temporal temperature changes in UTLS based on a modified STA/LTA criterion, statistic and spectral analysis has been suggested. The developed algorithm is based on sequential calculation of inter-day temperature variability ΔT of the moving dispersions ratio (VARSTA / VARLTA) and integral parameters of anomalous variations δTC (δT). The range and nature of changes of the parameters were determined by the intensity of short-period temperature perturbations. Application of the developed algorithm revealed that the anomalies of seismogenic origin were characterized by high values of parameter δTC (≥2.0) and manifested as explicit mesoscale (300–800 km), relatively long-lived (from 18 to 36 hours) disturbed areas. Temperature anomalies were observed 1–5 days before strong earthquakes within several hundred kilometers from their epicenters. Due to the fact that all events under examination occurred against the background of calm geomagnetic conditions, the spatial-temporal distribution of atmospheric temperature anomalies suggest probable association with the earthquake preparation processes.
Keywords: satellite measurements, temperature, earthquake, upper troposphere, lower stratosphere, STA/LTA criterion, integral parameter, anomaly, geomagnetic activity, Dst-index
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References:

  1. Sverdlik L. G., Identification of pre-seismic atmospheric perturbations using modified STA/LTA criterion, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 3, pp. 141–149 (in Russian), DOI: 10.21046/2070-7401-2021-18-3-141-149.
  2. Carbone V., Piersanti M., Materassi M., Battiston R., Lepreti F., Ubertini P., A mathematical model of lithosphere–atmosphere coupling for seismic events, Scientific Reports, 2021, Vol. 11, Art. No. 8682, DOI: 10.1038/s41598-021-88125-7.
  3. Chetia B., Devi M., Kalita S., Barbara A. K., Magnetic storm time effect on upper and lower atmosphere: An analysis through GPS and remote sensing observation over Guwahati, Indian J. Radio and Space Physics, 2017, Vol. 46, pp. 120–130.
  4. He L., Heki K., Ionospheric anomalies immediately before Mw7.0–8.0 earthquakes, J. Geophysical Research: Space Physics, 2017, Vol. 122, No. 8, pp. 8659–8678, DOI: 10.1002/2017JA024012.
  5. Jin S., Han L., Cho J., Lower atmospheric anomalies following the 2008 Wenchuan Earthquake observed by GPS measurements, J. Atmospheric and Solar-Terrestrial Physics, 2011, Vol. 73, pp. 810–814, DOI: 10.1016/j.jastp.2011.01.023.
  6. Jing F., Singh R. P., Shen X., Land – Atmosphere – Meteorological coupling associated with the 2015 Gorkha (M 7.8) and Dolakha (M 7.3) Nepal earthquakes, Geomatics, Natural Hazards and Risk, 2019, Vol. 10, No. 1, pp. 1267–1284, DOI: 10.1080/19475705.2019.1573629.
  7. Kherani E. A., Sanchez S. A., de Paula E. R., Numerical Modeling of Coseismic Tropospheric Disturbances Arising from the Unstable Acoustic Gravity Wave Energetics, Atmosphere, 2021, Vol. 12, Issue 6, Art. No. 765, DOI: 10.3390/atmos12060765.
  8. Piersanti M., Materassi M., Battiston R., Carbone V., Cicone A., D’Angelo G., Diego P., Ubertini P., Magnetospheric – Ionospheric – Lithospheric Coupling Model. 1: Observations during the 5 August 2018 Bayan Earthquake, Remote Sensing, 2020, Vol. 12, Issue 20, Art. No. 3299, DOI: 10.3390/rs12203299.
  9. Singh R. P., Mehdi W., Sharma M., Complementary nature of surface and atmospheric parameters associated with Haiti earthquake of 12 January 2010, Natural Hazards and Earth System Science, 2010, Vol. 10, Issue 6, pp. 1299–1305, DOI: 10.5194/nhess-10-1299-2010.
  10. Sverdlik L., Anomalous temperature changes in the UTLS region prior to the 2008 Nura Earthquake, E3S Web Conf., 2021, Vol 333, Art. No. 02013, RPERS, 2021, DOI: 10.1051/e3sconf/202133302013.
  11. Sverdlik L., Imashev S., Spatial-temporal distribution of atmospheric temperature anomalies connected with seismic activity in Tien-Shan, MAUSAM, 2020, Vol. 71, No. 3, pp. 481–490, available at: https://metnet.imd.gov.in/mausamdocs/171310_F.pdf.
  12. Yan X., Sun Y., Yu T., Liu J.-Y., Qi Y., Xia C., Zuo X., Yang N., Stratosphere perturbed by the 2011 Mw9.0 Tohoku earthquake, Geophysical Research Letters, 2018, Vol. 45, Issue 19, pp. 10050–10056, DOI: 10.1029/2018GL079046.
  13. Yang S.-S., Asano T., Hayakawa M., Abnormal gravity wave activity in the stratosphere prior to the 2016 Kumamoto earthquakes, J. Geophysical Research: Space Physics, 2019, Vol. 124, Issue 2, pp. 1410–1425, DOI: 10.1029/2018JA026002.
  14. Yu Z., Hattori K., Zhu K., Fan M., Marchetti D., He X., Chi C., Evaluation of Pre-Earthquake Anomalies of Borehole Strain Network by Using Receiver Operating Characteristic Curve, Remote Sensing, 2021, Vol. 13, No. 3, Art. No. 515, DOI: 10.3390/rs13030515.
  15. Zhu F., Jiang Y., Investigation of GIM-TEC disturbances before M ≥ 6.0 inland earthquakes during 2003–2017, Scientific Reports, 2020, Vol. 10, Art. No. 18038, DOI: 10.1038/s41598-020-74995-w.