Skip to main content
Log in

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

  • Research Article - Solid Earth Sciences
  • Published:
Acta Geophysica Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Availability of data and material

Not applicable.

Code availability

Not applicable.

References

  • Allen RV (1978) Automatic earthquake recognition and timing from single traces. Bull Seismol Soc Am 68(5):1521–1532

    Article  Google Scholar 

  • Allen RV (1982) Automatic phase pickers:their present use and future prospects. Bull Seismol Soc Am 72(6B):S225–S242

    Article  Google Scholar 

  • Boehm J, Niell A, Tregoning P et al (2006) Global mapping function (GMF): a new empirical mapping function based on numerical weather model data. Geophys Res Lett 33:L07304

    Article  Google Scholar 

  • Fang RX, Lv HH, Shu YM et al (2021) Improved performance of GNSS precise point positioning for high-rate seismogeodesy with recent BDS-3 and Galileo. Adv Space Res 68:3255–3267

    Article  Google Scholar 

  • Fang RX, Shi C, Song WW et al (2014a) Determination of earthquake magnitude using GPS displacement waveforms from real-time precise point positioning. Geophys J Int 196:461–472

    Article  Google Scholar 

  • Fang RX, Shi C, Wang GX et al (2014b) Epicenter and magnitude of large earthquake determined from high-rate GPS observations: a case study of the 2008 M8.0 Wenchuan Earthquake. Sci China Earth Sci. https://doi.org/10.1007/s11430-013-4803-2

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Geng JH, Mao SY (2021) Massive GNSS network analysis without baselines: undifferenced ambiguity resolution. J Geophys Res Solid Earth 126:e2020JB021558

  • Geng JH, Jiang P, Liu JN et al (2017) Integrating GPS with GLONASS for high-rate seismogeodesy. Geophys Res Lett 44:3139–3146

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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)

    Google Scholar 

  • Li ZH, Han BQ, Liu ZJ et al (2022a) Source parameters and slip distributions of the 2016 and 2022a Menyuan, Qinghai earthquakes constrained by InSAR observations. Geomatics and Information Science of Wuhan Universityhttps://doi.org/10.13203/j.whugis20220037

  • 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)

    Google Scholar 

  • Maeda N (1985) A method for reading and checking phase times in autoprocessing system of seismic wave data. Zisin Jishin 38:365–379

    Article  Google Scholar 

  • Melbourne WG (1985) The case for ranging in GPS-based geodetic systems. In: Proceeding of 1st international symposium on precise positioning with the global positioning system, April 15–19, Rockville, pp 373–386

  • Melgar D, Crowell BW, Geng JH et al (2015) Earthquake magnitude calculation without saturation from the scaling of peak ground displacement. Geophys Res Lett 42:5197–5205

    Article  Google Scholar 

  • Pan JW, Li HB, Marie LC et al (2022) Coseismic surface rupture and seismogenic structure of the 2022 Ms6.9 Menyuan earthquake, Qinghai Province, China. Acta Geol Sin 96(1):215–231 (in Chinese)

    Google Scholar 

  • Petit G, Luzum B (2010) IERS Conventions 2010, IERS Tech. Note 36. Verlag des Bundesamtes für Kartographie und Geodäsie, Frankfurt am Mian, Germany

  • Rothacher M, Schmid R (2010) ANTEX: the antenna exchange format, version 1.4. IGS Central Bureau, Pasadena

  • Saastamoinen J (1973) Contributions to the theory of atmospheric refraction. Bull Géod 47:13–34

    Article  Google Scholar 

  • Shan XJ, Yin H, Liu XD et al (2019) High-rate real-time GNSS seismology and early warning of earthquakes. Chin J Geophys 62(8):3043–3052

    Google Scholar 

  • Teunissen PJG (1995) The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation. J Geod 70:65–82

    Article  Google Scholar 

  • 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

  • Wübbena G (1985) Software developments for geodetic positioning with GPS using TI-4100 code and carrier measurements. In: Proceeding of 1st international symposium on precise positioning with the global positioning system, April 15–19, Rockville, pp 403–412

  • 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

    Google Scholar 

  • Yin H, Shan XJ, Zhang YF et al (2018) Rapid determination of source parameters for the 2008 Wenchuan earthquake constrained by high-rate GPS and strong motion data. Chin J Geophys 61(5):1806–1816 (in Chinese)

    Google Scholar 

  • Zhang XH, Hu JH, Ren XD (2020) New progress of PPP/PPP-RTK and positioning performance comparison of BDS/GNSS PPP. Acta Geodaetica Et Cartographica Sinica 49(9):1084–1100 (in Chinese)

    Google Scholar 

Download references

Funding

This work was funded by grants from the National Natural Science Foundation of China (No. 41974011), the Natural Science Foundation of Tianjin city (No. 20JCQNJC01360), and the Earthquake Tracking Track of China Earthquake Administration (CEA; 2022010211).

Author information

Authors and Affiliations

Authors

Contributions

Not applicable.

Corresponding author

Correspondence to Xuechuan Li.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Edited by Prof. Maria Marsella (ASSOCIATE EDITOR) / Prof. Ramón Zúñiga (CO-EDITOR-IN-CHIEF).

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Chen, C., Liang, H. et al. Earthquake source parameters estimated from high-rate multi-GNSS data: a case study of the 2022 M6.9 Menyuan earthquake. Acta Geophys. 71, 625–636 (2023). https://doi.org/10.1007/s11600-022-01000-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11600-022-01000-5

Keywords

Navigation