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Study of Thermal Fields before Strong Earthquakes in Turkey on March 8, 2010 (M = 6.1), and January 24, 2020 (M = 6.7)

  • USE OF SPACE INFORMATION ABOUT THE EARTH STUDYING CATASTROPHIC NATURAL PROCESSES FROM SPACE
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Abstract

Thermal-field anomalies recorded during the preparation and occurrence of strong earthquakes on March 8, 2010 (M = 6.1), and January 24, 2020 (M = 6.7), in Turkey, are studied using satellite data. Temperatures of the surface and atmospheric near-surface layer, as well as outgoing longwave radiation registered by the AIRS sensor of the Aqua satellite, are used for the analysis. The processing results have allowed us to establish that positive variations in surface and atmosphere temperatures appeared 7–12 days before the studied seismic events with M = 6.1 and M = 6.7, and these variations marked the onset of formation of the outgoing longwave radiation anomalies registered over the North and East Anatolian tectonic faults. The thermal-field anomalies detected during the preparation of the earthquakes in Turkey confirm the presence of heat generation effects between the surface and the upper cloud edge. These effects can be used as short-term remotely registered precursors of strong seismic events.

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REFERENCES

  1. Acker, J.G. and Leptoukh, G., “Online analysis enhances use of NASA earth science data”, EOS, Trans. Am. Geophys. Union, 2007, vol. 88, no. 2, pp. 14–17.

    Article  Google Scholar 

  2. Akhoondzadeh, M., De Santis, A., Marchetti, D., Piscini, A., and Jin, S., Anomalous seismo-LAI variations potentially associated with the 2017 Mw = 7.3 Sarpol-e Zahab (Iran) earthquake from Swarm satellites, GPS-TEC and climatological data, Adv. Space Res., 2019, vol. 64, pp. 143–158.

    Article  Google Scholar 

  3. Akopian, S.Ts., Bondur, V.G., and Rogozhin, E.A., Technology for monitoring and forecasting strong earthquakes in Russia with the use of the seismic entropy method, Izv., Phys. Solid Earth, 2017, vol. 53, no. 1, pp. 32–51. https://doi.org/10.1134/S1069351317010025

    Article  Google Scholar 

  4. Aliano, C., Corrado, R., Filizzola, C., Genzano, N., and Pergola Tramutoli, V., Robust TIR satellite techniques for monitoring earthquake active regions: limits, main achievements and perspectives, Ann. Geophys., 2008, vol. 51, pp. 303–317.

    Google Scholar 

  5. Bondur, V. and Kuznetsova, L., Satellite monitoring of seismic hazard area geodynamics using the method of lineament analysis, in The 31st International Symposium on Remote Sensing of Environment (ISRSE), St. Petersburg, 2005, pp. 376–379.

  6. Bondur, V.G. and Smirnov, V.M., Method for monitoring seismically hazardous territories by ionospheric variations recorded by satellite navigation systems, Dokl. Earth Sci., 2005a, vol. 403, no. 5, pp. 736–740.

    Google Scholar 

  7. Bondur, V.G. and Smirnov, V.M., Monitoring of ionosphere variations during the preparation and realization of earthquakes using satellite navigation system data, in The 31st International Symposium on Remote Sensing of Environment (ISRSE), St. Petersburg, 2005b, pp. 372–375.

  8. Bondur, V.G. and Voronova, O.S., Variations in outgoing longwave radiation during the preparation and occurrence of strong earthquakes in Russia in 2008 and 2009, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2012, no. 1, pp. 79–85.

  9. Bondur, V.G. and Zverev, A.T., A method of earthquake forecast based on the lineament analysis of satellite images, Dokl. Earth Sci., 2005a, vol. 402, no. 4, pp. 561–567.

    Google Scholar 

  10. Bondur, V.G. and Zverev, A.T., A method of earthquake forecast based on the lineament dynamic analysis using satellite imagery, Issled. Zemli Kosmosa, 2005b, no. 3, pp. 37–52.

  11. Bondur, V.G. and Zverev, A.T., Lineament system formation mechanisms registered in space images during the monitoring of seismic danger areas, Issled. Zemli Kosmosa, 2007, no. 1, pp. 47–56.

  12. Bondur, V.G., Garagash, I.A., Gokhberg, M.B., Lapshin, V.M., Nechaev, Yu.V., Steblov, G.M., and Shalimov, S.L., Geomechanical models and ionospheric variations related to strongest earthquakes and weak influence of atmospheric pressure gradients, Dokl. Earth Sci., 2007, vol. 414, no. 1, pp. 666–669.

    Article  Google Scholar 

  13. Bondur, V.G., Garagash, I.A., Gokhberg, M.B., Lapshin, V.M., and Nechaev, Yu.V., Connection between variations of the stress-strain state of the Earth’s crust and seismic activity: The example of Southern California, Dokl. Earth Sci., 2010, vol. 430, pp. 147–150.

    Article  Google Scholar 

  14. Bondur, V.G., Garagash, I.A., and Gokhberg, M.B., Large-scale interaction of seismically active tectonic provinces: The example of Southern California, Dokl. Earth Sci., 2016a, vol. 466, no. 2, pp. 183–186. https://doi.org/10.1134/S1028334X16020100

    Article  Google Scholar 

  15. Bondur, V.G., Garagash, I.A., Gokhberg, M.B., and Rodkin, M.V., The evolution of the stress state in Southern California based on the geomechanical model and current seismicity, Izv., Phys. Solid Earth, 2016b, vol. 52, no. 1, pp. 117–128. https://doi.org/10.1134/S1069351316010043

    Article  Google Scholar 

  16. Bondur, V.G., Tsidilina, M.N., Gaponova, E.V., and Voronova, O.S., Systematization of ionospheric, geodynamic, and thermal precursors of strong (M ≥ 6) earthquakes detected from space, Izv., Atmos. Ocean. Phys., 2018, vol. 54, no. 9, pp. 1392–1405. https://doi.org/10.1134/S0001433818090475

    Article  Google Scholar 

  17. Bondur, V.G., Tsidilina, M.N., Gaponova, E.V., and Voronova, O.S., Joint analysis of anomalies of different geophysical fields, recorded from space before strong earthquakes in California, Izv., Atmos. Ocean. Phys., 2020, vol. 56, no. 9, pp. 1502–1519. https://doi.org/10.1134/S000143382012035X

    Article  Google Scholar 

  18. Congxin, W., Yuansheng, Z., Xiao, G., Shaoxing, H., Manzhong, Q., and Ying, Z., Thermal infrared anomalies of several strong earthquakes, Sci. World J., 2013, id 208407. https://doi.org/10.1155/2013/208407

  19. Dey, S. and Singh, R.P., Surface latent heat flux as an earthquake precursor, Nat. Hazards Earth Syst. Sci., 2003, no. 3, pp. 749–755.

  20. Hearty, T., Savtchenko, A., Theobald, M., Ding, F., Esfandiari, E., and Vollmer, B., Readme document for AIRS version 006 products, Readme, NASA GES DISC Goddard Earth Sci. Data and Inf. Serv. Cent., Greenbelt, Md., 2013.

    Google Scholar 

  21. Hussain, E., Wright, T.J., Walters, R.J., et al., Constant strain accumulation rate between major earthquakes on the North Anatolian Fault, Nat. Commun., 2018, vol. 9, id 1392. https://doi.org/10.1038/s41467-018-03739-2

  22. Keilis-Borok, V., Gabrielov, A., and Soloviev, A., Geo-complexity and earthquake prediction, in Encyclopedia of Complexity and Systems Science, Meyers, R., Ed., New York: Springer, 2009, pp. 4178–4194.

    Google Scholar 

  23. Kissin, I.G., On the system approach in the problem of forecasting the earthquakes, Izv., Phys. Solid Earth, 2013, vol. 49, no. 4, pp. 587–600. https://doi.org/10.1134/S1069351313040058

    Article  Google Scholar 

  24. Levina, G.V., Moiseev, S.S., and Rutkevich, P.B., Hydrodynamic alpha-effect in a convective system, in Nonlinear Instability, Chaos and Turbulence (Advances in Fluid Mechanics), Debnath, L. and Riahi, D.N., Eds., Southampton: WIT Press, 2000, pp. 111–162.

    Google Scholar 

  25. Lin, L., Kong, X., and Li, N., A martingale-based temporal analysis of pre-earthquake anomalies at Jiuzhaigou, China, in the period of 2009–2018, E3S Web Conf., 2019, no. 131, id 01072. https://doi.org/10.1051/e3sconf/201913101072

  26. Liperovsky, V.A., Pokhotelov, O.A., Liperovskaya, E.V., and Meister, C.-V., Physical models of coupling in the lithosphere–atmosphere–ionosphere system before earthquakes, Geomagn. Aeron. (Engl. Transl.), 2008, vol. 48, no. 6, pp. 795–806.

  27. Lu, X., Meng, Q.Y., Gu, X.F., Zhang, X.D., Xie, T., and Geng, F., Thermal infrared anomalies associated with multi-year earthquakes in the Tibet region based on China’s FY-2E satellite data, Adv. Space Res., 2016, vol. 58, no. 6, pp. 989–1001. https://doi.org/10.1016/j.asr.2016.05.038

    Article  Google Scholar 

  28. Mogi, K., Earthquake Prediction, Tokyo: Academic, 1985; Moscow: Mir, 1988.

  29. Molchan, G. and Keilis-Borok, V., Seismology earthquake prediction: Probabilistic aspect, Geophys. J. Int., 2008, vol. 173, pp. 1012–1017.

    Article  Google Scholar 

  30. Ouzounov, D. and Freund, F., Mid-infrared emission prior to strong earthquakes analyzed by remote sensing data, Adv. Space Res., 2004, vol. 33, pp. 268–273.

    Article  Google Scholar 

  31. Ouzounov, D., Liu, D., Kang, C., Cervone, G., Kafatos, M., and Taylor, P., Outgoing long wave radiation variability from IR satellite data prior to major earthquakes, Tectonophysics, 2007, vol. 431, pp. 211–220.

    Article  Google Scholar 

  32. Pavlidou, E., Van der Meijde, M., Van der Werff, H., and Hecker, C., Time series analysis of land surface temperatures in 20 earthquake cases worldwide, Remote Sens., 2019, vol. 11, no. 1, id 61. https://doi.org/10.3390/rs11010061

  33. Pulinets, S. and Ouzounov, D., The Possibility of Earthquake Forecasting: Learning from Nature, IOP Publishing, 2018. https://doi.org/10.3390/rs11010061.

  34. Pulinets, S.A., Bondur, V.G., Tsidilina, M.N., and Gaponova, M.V., Verification of the concept of seismoionospheric coupling under quiet heliogeomagnetic conditions, using the Wenchuan (China) earthquake of May 12, 2008, as an example, Geomagn. Aeron. (Engl. Transl.), 2010, vol. 50, no. 2, pp. 231–242.

  35. Pulinets, S.A., Ouzounov, D.P., Karelin, A.V., and Davidenko, D.V., Physical bases of the generation of short-term earthquake precursors: A complex model of ionization-induced geophysical processes in the lithosphere–atmosphere–ionosphere–magnetosphere system, Geomagn. Aeron. (Engl. Transl.), 2015, vol. 55, no. 4, pp. 521–539. https://doi.org/10.1134/S0016793215040131

  36. Saraf, A.K., Rawat, V., Banerjee, P., Choudhury, S., Panda, S.K., Dasgupta, S., and Das, J.D., Satellite detection of earthquake thermal infrared precursors in Iran, Nat. Hazards, 2008, pp. 119–135.

  37. Smirnov, V.M., Smirnova, E.V., Tsidilina, M.N., and Gaponova, M.V., Seismo-ionospheric variations during strong earthquakes based on the example of the 2010 earthquake in Chile, Cosmic Res., 2018, vol. 56, no. 4, pp. 310–318. https://doi.org/10.1134/S0010952518040068

    Article  Google Scholar 

  38. Sobolev, G.A. and Ponomarev, A.V., Fizika zemletryasenii i predvestniki (Earthquake Physics and Precursors), Moscow: Nauka, 2003.

  39. Tan, O., Pabuçcu, Z., Tapırdamaz, M.C., İnan, S., Ergintav, S., Eyidoğan, H., Aksoy, E., and Kuluöztürk, F., Aftershock study and seismotectonic implications of the 8 March 2010 Kovancılar (Elazığ, Turkey) earthquake (MW = 6.1), Geophys. Res. Lett., 2011, vol. 38, no. 11. https://doi.org/10.1029/2011GL047702

  40. Tramutoli, V., Corrado, R., Filizzola, C., Genzano, N., Lisi, M., and Pergola, N., From visual comparison to robust satellite techniques: 30 years of thermal infrared satellite data analyses for the study of earthquake preparation phases, Boll. Geofis. Teor. Appl., 2015, vol. 56, no. 2, pp. 167–202. https://doi.org/10.4430/bgta0149

    Article  Google Scholar 

  41. Tronin, A.A., Satellite remote sensing in seismology: A review, Remote Sens., 2010, vol. 2, no. 1, pp. 124–150.

    Article  Google Scholar 

  42. Xiong, P., Shen, X.H., Bi, Y.X., Kang, C.L., Chen, L.Z., Jing, F., and Chen, Y., Study of outgoing longwave radiation anomalies associated with Haiti earthquake, Nat. Hazards Earth Syst. Sci., 2010, pp. 2169–2178. https://doi.org/10.5194/nhess-10-2169-2010

  43. Xuan, Z., Yuansheng, Z., Xiufeng, T., Qiaoli, Z., and Jie, T., Tracking of thermal infrared anomaly before one strong earthquake in the case of Ms 6.2 earthquake in Zadoi, Qinghai on October 17th, 2016, J. Phys. Conf. Ser., 2017, vol. 910, no. 1, id 012048. https://doi.org/10.1088/1742-6596/910/1/012048.

  44. Zhukov, B.S., Halle, W., Schlotzhauer, G., and Oertel, D., Spatial and temporal analysis of thermal anomalies as earthquake precursors, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2010, vol. 7, no. 2, pp. 333–343.

    Google Scholar 

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Funding

This study was supported by State Assignment no. AAAA-A19-119081390037-2.

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  1. AEROCOSMOS Research Institute for Aerospace Monitoring, Moscow, Russia

    V. G. Bondur & O. S. Voronova

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Correspondence to V. G. Bondur.

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Translated by N. Astafiev

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Bondur, V.G., Voronova, O.S. Study of Thermal Fields before Strong Earthquakes in Turkey on March 8, 2010 (M = 6.1), and January 24, 2020 (M = 6.7). Izv. Atmos. Ocean. Phys. 57, 991–1002 (2021). https://doi.org/10.1134/S0001433821090425

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