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

被引:4
作者
Li, Xuechuan [1 ]
Chen, Changyun [1 ]
Liang, Hongbao [1 ]
Li, Yu [2 ,3 ]
Zhan, Wei [1 ]
机构
[1] China Earthquake Adm, Monitoring & Applicat Ctr 1, Tianjin, Peoples R China
[2] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
[3] China Earthquake Networks Ctr, Beijing 100045, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-GNSS; Epicenter location; Earthquake origin time; Moment magnitude; Coseismic displacement; GPS; DEFORMATION;
D O I
10.1007/s11600-022-01000-5
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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 degrees E and 37.791 degrees 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 earth-quakes; accuracy of earthquake source parameters estimation, can, therefore, be improved with the use of multi-GNSS data.
引用
收藏
页码:625 / 636
页数:12
相关论文
共 8 条
  • [1] Earthquake source parameters estimated from high-rate multi-GNSS data: a case study of the 2022 M6.9 Menyuan earthquake
    Xuechuan Li
    Changyun Chen
    Hongbao Liang
    Yu Li
    Wei Zhan
    Acta Geophysica, 2023, 71 : 625 - 636
  • [2] Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations
    Li, Zhicai
    Zang, Jianfei
    Fan, Shijie
    Wen, Yangmao
    Xu, Caijun
    Yang, Fei
    Peng, Xiuying
    Zhao, Lijiang
    Zhou, Xing
    REMOTE SENSING, 2022, 14 (21)
  • [3] Joint inversion of InSAR and high-rate GNSS displacement waveforms for the rupture process of the 2022 Qinghai Menyuan M6. 9 earthquake
    Lu MingZhe
    Chen KeJie
    Chai HaiShan
    Geng JiangHui
    Zhang ShengPeng
    Fang LiHua
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2022, 65 (12): : 4725 - 4738
  • [4] Earthquake Magnitude Estimation from High-Rate GNSS Data: A Case Study of the 2021 Mw 7.3 Maduo Earthquake
    Gao, Zhiyu
    Li, Yanchuan
    Shan, Xinjian
    Zhu, Chuanhua
    REMOTE SENSING, 2021, 13 (21)
  • [5] High-rate multi-GNSS attitude determination: experiments, comparisons with inertial measurement units and applications of GNSS rotational seismology to the 2011 Tohoku Mw9.0 earthquake
    Xu, Peiliang
    Shu, Yuanming
    Niu, Xiaoji
    Liu, Jingnan
    Yao, Wanqiang
    Chen, Qijin
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 30 (02)
  • [6] Rapid determination of source parameters for the 2017 Mw 8.2 Mexico earthquake based on high-rate GPS data
    Xiang, Yunfei
    Yue, Jianping
    Cai, Dongjian
    Wang, Hao
    ADVANCES IN SPACE RESEARCH, 2019, 64 (05) : 1148 - 1159
  • [7] Real-time capture of seismic waves using high-rate multi-GNSS observations: Application to the 2015 Mw7.8 Nepal earthquake
    Geng, Tao
    Xie, Xin
    Fang, Rongxin
    Su, Xing
    Zhao, Qile
    Liu, Gang
    Li, Heng
    Shi, Chuang
    Liu, Jingnan
    GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (01) : 161 - 167
  • [8] Detection of Structural Vibration with High-Rate Precise Point Positioning: Case Study Results Based on 100 Hz Multi-GNSS Observables and Shake-Table Simulation
    Paziewski, Jacek
    Sieradzki, Rafal
    Baryla, Radoslaw
    SENSORS, 2019, 19 (22)