Kazan, Kazan, Russian Federation
Russian Federation
Russian Federation
Russian Federation
Russian Federation
Russian Federation
Russian Federation
UDC 52
UDC 528
UDC 528.06
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.25
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 63
BISAC SCI SCIENCE
This study analyzes crustal movements and ionospheric response triggered by the powerful MW 8.8 earthquake of July 29, 2025, using continuous GNSS observations from open geodetic network stations located on the Kamchatka Peninsula, Sakhalin Island, the coast of the Sea of Okhotsk, and the Kuril Islands. Significant coseismic horizontal and vertical coordinate changes were detected at GNSS stations on the Kamchatka Peninsula near Petropavlovsk-Kamchatsky (up to 65 cm horizontally and 8 cm vertically), in Severo-Kurilsk city (168 cm horizontally and 19 cm vertically), and on Sakhalin Island (up to 3 cm horizontally). The time delay of surface deformation propagation was estimated for stations in Petropavlovsk-Kamchatsky and Severo-Kurilsk. The ionospheric response to the earthquake was investigated, revealing concentric ionospheric disturbances propagating southwestward from the earthquake epicenter. Two modes of this disturbance were identified: a fast mode with a propagation velocity of 800–1300 m/s detectable during the first ~20 minutes, and a slow mode with velocity of 180–330 m/s observed approximately 40 minutes after the main shock.
Aftershock displacements, surface movements, Precise Point Positioning (PPP), InnoGNSS, Total Electron Content (TEC), Kamchatka megathrust earthquake
1. Astafyeva E., Lognonné P. and Rolland L. M. First ionospheric images of the seismic fault slip on the example of the Tohoku-oki earthquake // Geophysical Research Letters. — 2011. — Vol. 38, no. 22. — P. L22104. — https://doi.org/10.1029/2011gl049623
2. Bakhtiarov V. F. and Zagretdinov R. V. On geodynamics of continuously operating stationary GNSS stations in the territory of the Russian Federation // Geoprofi. — 2021. — No. 1. — P. 34–37. — (In Russian).
3. Banville S., Geng J., Loyer S., et al. On the interoperability of IGS products for precise point positioning with ambiguity resolution // Journal of Geodesy. — 2020. — Vol. 94, no. 1. — https://doi.org/10.1007/s00190-019-01335-w
4. Bernese GNSS Software Version 5.2 / ed. by R. Dach, S. Lutz, P. Walser, et al. — University of Bern, 2015. — 826 p. — https://doi.org/10.7892/BORIS.72297
5. Calais E., Haase J. S. and Minster J. B. Detection of ionospheric perturbations using a dense GPS array in Southern California // Geophysical Research Letters. — 2003. — Vol. 30, no. 12. — https://doi.org/10.1029/2003gl017708
6. Dach R. and the BSW-development team. Spotlight on Bernese GNSS Software // Technical Seminar, 10-11 Sept. 2022. — Warsaw, Poland : FIG, 2022.
7. Heki K. Ionospheric electron enhancement preceding the 2011 Tohoku-Oki earthquake // Geophysical Research Letters. — 2011. — Vol. 38, no. 17. — P. L17312. — https://doi.org/10.1029/2011gl047908
8. InnoGNSS. Software for high-precision processing of static measurements of radio signals of global navigation satellite systems. — URL: https://rnd.innopolis.university/projects/programmnoe-obespechenie-dlya-vysokotochnoyobrabotki-staticheskikh-izmereniy-radiosignalov-globalny/ (visited on 11/11/2025) ; (in Russian).
9. Kaftan V. and Melnikov A. Deformation precursors of large earthquakes derived from long term GNSS observation data // Russian Journal of Earth Sciences. — 2016. — Vol. 16. — ES3001. — https://doi.org/10.2205/2016ES000568
10. Kaftan V. and Tatarinov V. An Analysis of Possibilities of GNSS Local Strain Monitoring Networks in Earthquake-Prone Areas // Journal of Volcanology and Seismology. — 2021. — Vol. 15, no. 6. — P. 379–386. — https://doi.org/10.1134/s074204632106004x
11. Kogogin D. A., Sokolov A. V., Nasirov I. A., et al. Signal Receiver for Global Navigation Satellite Systems Based on a U-Blox ZED-F9P Module for Ionospheric Research // Journal of Communications Technology and Electronics. — 2023. — Vol. 68, no. 6. — P. 682–691. — https://doi.org/10.1134/s1064226923060074
12. Kunitsyn V. E., Nesterov I. A. and Shalimov S. L. Japan megathrust earthquake on March 11, 2011: GPS-TEC evidence for ionospheric disturbances // JETP Letters. — 2011. — Vol. 94, no. 8. — P. 616–620. — https://doi.org/10.1134/s0021364011200082
13. Lapshin A. and Staroverov S. Creation and development of continuously operating networks in the Russian Federation. Yesterday, today, tomorrow // FIG Working Week 2024. — Accra, Ghana : FIG, 2024.
14. Pulinets S. A. and Boyarchuk K. A. Ionospheric precursors of earthquakes. — Berlin : Springer-Verlag, 2005. — 315 p. — https://doi.org/10.1007/b137616
15. Saito A., Fukao S. and Miyazaki S. High resolution mapping of TEC perturbations with the GSI GPS Network over Japan // Geophysical Research Letters. — 1998. — Vol. 25, no. 16. — P. 3079–3082. — https://doi.org/10.1029/98gl52361
16. Shestakov N. V., Nechaev G. V., Titkov N. N., et al. GNSS-Based Modeling and Study of Postseismic Crustal Movement of the May 24, 2013, MW 8.3 Sea of Okhotsk Deep-Focus Earthquake // Geodynamics & Tectonophysics. — 2024. — Vol. 15, no. 3. — P. 0761. — https://doi.org/10.5800/gt-2024-15-3-0761
17. Takamatsu N., Muramatsu H., Abe S., et al. New GEONET analysis strategy at GSI: daily coordinates of over 1300 GNSS CORS in Japan throughout the last quarter century // Earth, Planets and Space. — 2023. — Vol. 75, no. 1. — https://doi.org/10.1186/s40623-023-01787-7
18. Tsugawa T., Saito A., Otsuka Y., et al. Ionospheric disturbances detected by GPS total electron content observation after the 2011 off the Pacific coast of Tohoku Earthquake // Earth, Planets and Space. — 2011. — Vol. 63, no. 7. — P. 875–879. — https://doi.org/10.5047/eps.2011.06.035
19. Yasukevich Yu. V., Perevalova N. P., Edemskiy I. K., et al. Ionospheric response to helio- and geophysical disturbing factors based on GPS data. — Irkutsk : ISU Publ., 2013. — 259 p. — (In Russian).



