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Earthquake source parameters estimated from high rate multi GNSS data: a case study of the 2022 M6.9 Menyuan earthquake

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The epicenter, origin time, and magnitude of the earthquake are critical earthquake source parameters, as they can provide data support for earthquake emergency rescue and earthquake risk research, among others. Here, the high-rate displacement time series of 11 Global Navigation Satellite System (GNSS) stations during the 2022 Menyuan M6.9 earthquake were acquired using GPS, GPS/GLONASS, and GPS/GLONASS/Galileo observations using the PRIDE PPP-AR software. Our analysis revealed that the root mean squares (RMS) of displacement derived from GPS/GLONASS/Galileo relative to GPS derived in the north, east, and up components were improved by 23.3, 34.4, and 24.4%, respectively. The epicenter location of the Menyuan earthquake based on GPS/GLONASS/Galileo-derived time series of each station was 101.201°E and 37.791°N, the earthquake origin time was 17:45:23.7 (UTC), and the moment magnitude was 6.62, which were more accurate than the GPS and GPS/GLONASS results. Although there was no significant advantage of calculating the coseismic displacement by multi-day static solution from GPS/GLONASS/Galileo, our results showed that the multi-GNSS combination can improve the stability of time series and reduce noise, and more realistically describe the surface displacement changes during earthquakes; accuracy of earthquake source parameters estimation, can, therefore, be improved with the use of multi-GNSS data.
Czasopismo
Rocznik
Strony
625--636
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin, China
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin, China
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin, China
autor
  • Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
  • China Earthquake Networks Center, Beijing 100045, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin, China
Bibliografia
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  • 7. Fang RX, Zheng JW, Geng JH et al (2020) Earthquake magnitude scaling using peak ground veolocity derived from High-Rate GNSS observations. Seismol Res Lett 92(1):227–237
  • 8. Gao ZY, Li YC, Shan XJ et al (2021) Earthquake magnitude estimation from high-rate GNSS data: a case study of the 2021 Mw 7.3 Maduo earthquake. Remote Sens 13:4478
  • 9. Geng JH, Mao SY (2021) Massive GNSS network analysis without baselines: undifferenced ambiguity resolution. J Geophys Res Solid Earth 126:e2020JB021558
  • 10. Geng JH, Jiang P, Liu JN et al (2017) Integrating GPS with GLONASS for high-rate seismogeodesy. Geophys Res Lett 44:3139–3146
  • 11. Geng JH, Pan YX, Li XT et al (2018) Noise characteristics of high-rate multi-GNSS for subdaily crustal deformation monitoring. J Geophys Res 123(2):1987–2002
  • 12. Geng JH, Chen XY, Pan YX et al (2019) PRIDE PPP-AR: an open-source software for GPS PPP ambiguity resolution. GPS Solutions 23:91
  • 13. Geng JH, Yang SF, Guo J (2021) Assessing IGS GPS/Galileo/BDS-2/BDS-3 phase bias products with PRIDE PPP-AR. Satell Navig 2(1):1–15
  • 14. Jiang WP, Xu CJ, Li ZW et al (2022) Using space observation techniques to study temporal and spatial characteristics of seismogenic process, occurrence and deformation of the Qinghai Madoi Mw 7.4 earthquake. Chin J Geophys 65(2):495–508. https://doi.org/10.6038/cjg2022P0732. (in Chinese)
  • 15. Li JW, Chen CY, Zhan W et al (2021a) Research on fast acquisition of GNSS coseismic horizontal displacement of Maduo Ms7.4 earthquake in Qinghai Province. Seismol Geol 43(5):1073–1084
  • 16. Li ZC, Ding KH, Zhang P et al (2021b) Coseismic deformation and slip distribution of 2021 Mw 7.4 Madoi earthquake from GNSS observations. Geomat Inf Sci Wuhan Univ 46(10):1489–1497 (in Chinese)
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  • 18. Li ZM, Gai HL, Li X et al (2022b) Seismogenic fault and coseismic surfaces deformation of the Menyuan Ms6.9 earthquake in Qinghai. Acta Geol Sin 96(1):330–335 (in Chinese)
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  • 28. Wang M, Shen ZK (2020) Present-day crustal deformation of continental China derived from GPS and its tectonic implications. J Geophys Res Solid Earth 125:e2019JB018774
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  • 30. Yin HT, Zhang PZ, Gan WJ et al (2010) Near-field surface movement during the Wenchuan Ms8.0 earthquake measured by high-rate GPS. Chin Sci Bull 26(55):2621–2626
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1bb18df1-896c-457e-bd20-530df34bda96
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