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Earthquake prediction assessment using VLF radio signal sounding and space-based ULF emission observation

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The present paper aims at earthquake prediction assessment in Iran using VLF radio signal sounding and space-based ULF emission observation. VLF subionospheric data using the Denizkoy transmitter in Turkey at 26.7 kHz and a receiving station in Tehran are incorporated. Three earthquake events during 2019 located at different distances to the signal propagation path are used in this study. The short-term variations in the VLF signal for the 5 days averaged amplitude, as well as the deviation of the VLF signal against the 30 days averaged signal to monitor the alternation in the trend, are employed in this study to perform earthquake prediction assessment using VLF radio signal sounding. Several characteristic parameters of the VLF signal such fall-time, minimum 1 and minimum 2 throughout the day are used. A threshold over the standard deviation of the signal is used to determine the signal anomaly. The signal anomalies associated with three selected events and the correlation of prediction with the distance are discussed. A decision-making procedure for the detection of EQ-related anomalies based on the assessment of the proposed approach is introduced. The ULF emissions recorded by the China Seismo-Electromagnetic Satellite (CSES) are provided and associated with the two analyzed earthquakes using the VLF data due to lack of time coverage for the third case. The space-based detected ULF signals are presented and discussed. The proximity of the detected ULF emission with respect to the earthquake epicenter is discussed.
Czasopismo
Rocznik
Strony
1269--1284
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
  • Institute of Geophysics, University of Tehran, Tehran, Iran
  • Institute of Geophysics, University of Tehran, Tehran, Iran
  • Institute of Geophysics, University of Tehran, Tehran, Iran
Bibliografia
  • 1. Akhoondzadeh M, De Santis A, Marchetti D, Piscini A, Jin S (2019) 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 64:143–158. https://doi.org/10.1016/j.asr.2019.03.020
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  • 6. Fallahrad M, Mahmoudian A, Montahaei M (2022) Study of VLF radio sounding for the Ionospheric remote sensing. Iran J Geophys 15(4):139–152. https://doi.org/10.30499/ijg.2021.266926.1312
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  • 10. Hayakawa M, Itoh T, Smirnova N (1999) Fractal analysis of ULF geomagnetic data associated with the Guam earthquake on 8 August 1993. Geophys Res Lett 26:2797–2800
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  • 12. Hayakawa M, Kasahara Y, Nakamura T, Muto F, Horie T, Maekawa S, Hobara Y, Rozhnoi AA, Solovieva M, Molchanov OA (2010a) A statistical study on the correlation between lower ionospheric perturbations as seen by subionospheric VLF/LF propagation and earthquakes. J Geophys Res 115:A09305. https://doi.org/10.1029/2009JA015143
  • 13. Hayakawa M, Kasahara Y, Nakamura T, Hobara Y, Rozhnoi A, Solovieva M, Molchanov OA (2010b) On the correlation between ionospheric perturbations as detected by subionospheric VLF/LF signals and earthquakes as characterized by seismic intensity. J Atmos Sol Terr Phys 72:982–987. https://doi.org/10.1016/j.jastp.2010.05.009
  • 14. Hayakawa M, Raulin JP, Kasahara Y, Bertoni FCP, Hobara Y, Guevara-Day W (2011) Ionospheric perturbations in possible association with the 2010 Haiti earthquake, as based on medium-distance subionospheric VLF propagation data. Nat Hazards Earth Syst Sci 11:513–518
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  • 19. Kumar A, Kumar S, Hayakawa M, Menk F (2013) Subionospheric VLF perturbations observed at low latitude associated with earthquake from Indonesia region. J Atmos Sol Terr Phys 102:71–80. https://doi.org/10.1016/j.jastp.2013.04.011
  • 20. Maekawa S, Hayakawa M (2006) A statistical study on the dependence of characteristics of VLF/LF terminator. IEEJ Trans Fundam Mater 126(4):220–226
  • 21. Molchanov OA, Kopytenko YuA, Voronov PM, Kopytenko EA, Matiashvili TG, Fraser-Smith AC, Bernardy A (1992) Results of ULF magnetic field measurements near the epicenters of the Spitak (Ms = 6.9) and Loma Prieta (Ms = 7.1) earthquakes: comparative analysis. Geophys Res Lett 19:1495–1498
  • 22. Molchanov OA, Hayakawa M (1995) Generation of ULF electromagnetic emissions by microfracturing. Geophys Res Lett 22(22):3091–3094. https://doi.org/10.1029/95GL00781
  • 23. Molchanov OA, Hayakawa M, Ondoh T, Kawai E (1998) Precursory effects in the subionospheric VLF signals for the Kobe earthquake. Phys Earth Planet 105:239–248
  • 24. Molchanov OA, Hayakawa M, Miyaki K (2001) VLF/LF sounding of the lower ionosphere to study the role of atmospheric oscillations in the lithosphere–ionosphere coupling. Adv Polar Upper Atmos Res 15:146–158
  • 25. Molchanov O, Fedorov E, Schekotov A, Gordeev E, Chebrov V, Surkov V, Rozhnoi A, Andreevsky S, Iudin D, Yunga S et al (2004) Lithosphere-atmosphere-ionosphere coupling as governing mechanism for preseismic short-term events in atmosphere and ionosphere. Nat Hazards Earth Syst Sci 4:757–767
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  • 27. Ouyang XY, Parrot M, Bortnik J (2020) ULF wave activity observed in the nighttime ionosphere above and some hours before strong earthquakes. J Geophys Res: Space Phys, 125, e2020JA028396. https://doi.org/10.1029/2020JA028396
  • 28. Pulinets SA, Boyarchuk K (2004) Ionospheric precursors of earthquakes. Springer, Berlin, p 315
  • 29. Pulinets S, Ouzounov D (2011) Lithosphere-atmosphere-ionosphere coupling (LAIC) model-A unified concept for earthquake precursor validation. J Asian Earth Sci 41:371–382. https://doi.org/10.1016/j.jseaes.2010.03.005
  • 30. Ries G (1967) Results concerning the sunrise effect of VLF signals propagated over long paths. Radio Sci 2:531–538
  • 31. Sorokin VV, Chmyrev V, Hayakawa M (2015) Electrodynamic coupling of lithosphere-atmosphere-ionosphere of the earth; NOVA Science Pub. Inc.: New York, NY, USA, 355p
  • 32. Surkov VV (1999) ULF electromagnetic perturbations resulting from the fracture and dilatancy in the earthquake preparation zone. In: Hayakawa M (ed) Atmospheric and ionospheric phenomena associated with earthquakes. Terra Scientific Publishing Company (TERRAPUB), Tokyo, pp 357–370
  • 33. Surkov VV, Molchanov OA, Hayakawa M (2003) Pre-earthquake ULF electromagnetic perturbations as a result of inductive seismomagnetic phenomena during microfracturing. J Atmos Solar-Terr Phys 65:31–46
  • 34. Vergés J, Saura E, Casciello E, Fernàndez M, Villaseñor A, Jiménez-Munt I, García-Castellanos D (2011) Crustal-scale cross-sections across the NW Zagros belt: implications for the Arabian margin reconstruction. Geol Mag 148:739–761. https://doi.org/10.1017/S0016756811000331
  • 35. Vernant P, Nilforoushan F, Hatzfeld D, Abbassi MR, Vigny C, Masson F, Nankali H, Martinod J, Ashtiani A, Bayer R, Tavakoli F, Chéry J (2004) Present-day crustal deformation and plate kinematics in the Middle East constrained by GPS measurements in Iran and northern Oman. Geophys J Int 157:381–398. https://doi.org/10.1111/gji.2004.157.issue-1
  • 36. Wu L, Zhou Y, Miao Z, Qin K (2018) Anomaly identification and validation for winter 2017 Iraq and Iran earthquakes, EGU2018-5800, 2018 EGU General Assembly
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-374df085-e718-4ada-beea-e55acd356af7
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