Abstract

With the rapid development of Global Navigation Satellite System (GNSS) technology, the long-term accumulated GNSS observations of global reference stations have provided valuable data for geodesy and geodynamics studies since the 1990s. Acquiring the precise velocity of GNSS stations is very important for the study of global plate movement, crustal deformation, etc. However, the seismic activities nearby some GNSS observation stations may seriously change the station’s motion trajectory. Therefore, our research was motivated to propose a method allowing for station seismic deformation, and apply it to construct an updated global GNSS velocity field. The main contributions of this work included the following. Firstly, we improved the GNSS data processing procedures and seismic data selection strategies to obtain GNSS coordinate time series with mm-level precision (3–5 and 6–8 mm in the horizontal and vertical, respectively) and information of each site impacted by seismic events, which provides necessary input data for further analysis. Secondly, an Integrated Time Series Method (ITSM) concerning the effect of seismic deformation was proposed to model the station’s nonlinear motion accurately. Distinguished with existing studies, all parameters including seismic relaxation time can be simultaneously estimated by ITSM, which improves the accuracy and reliability of GNSS station velocity significantly. Thirdly, to optimize the ITSM-based model, the influences of seismic relaxation time (a. 0.1 × true, b. 10 × true, c. true), parameterization mode (a. Offset + Velocity, b. Offset + Velocity + PSD, c. Offset + Velocity + PSD + Period), and the Post-Seismic Deformation (PSD) model (a. None, b. Exp, c. Log, d. Exp + Log) on results of GNSS time series analyzing were discussed. The results showed that the fitting accuracy of GNSS displacements was better than 5 mm and 10 mm in the horizontal and vertical, respectively. Finally, the global GNSS station velocity field (referred to as GGV2020 hereafter) was refined by ITSM using global GNSS observations and seismic data during 1990–2020. This not only helps interpret plate tectonic motion, establish and maintain a Dynamic Terrestrial Reference Frame (DTRF) but also contributes to better investigating geodynamic processes. GGV2020 results showed that the accuracy of global velocity was better than 1 mm/a, and the averages of Root Mean Square Error (RMSE) were 0.19 mm/a, 0.19 mm/a, and 0.33 mm/a in the north, east, and up direction, respectively. Besides, the RMSE obeys normal distribution. Compared with ITRF2014, there was a difference of about 1–2 mm/a between them due to differences in terms of observation span, processing model, and geodetic technology. Moreover, GGV2020 is expected to enrich and update the existing velocity field products to describe the characteristics of regional crustal movement in more detail, especially in Antarctica.

Highlights

  • In 1994, Strange et al first proposed the concept of Continuous Operation of ReferenceStations (CORS) [1]

  • We propose an Integrated Time Series Method (ITSM) including seismic deformation to realize a comprehensive solution for Global Navigation Satellite System (GNSS) time series analysis, which improves the accuracy of parameter estimation and the fitting result of time series effectively

  • The results provided the basic materials for the construction of seismic deformation models in the following research

Read more

Summary

Introduction

In 1994, Strange et al first proposed the concept of Continuous Operation of ReferenceStations (CORS) [1]. With the enrichment of GNSS observations and the improvement of its processing strategies, the long-term accumulated GNSS observations of global reference stations have provided basic data for geodesy and geodynamics studies [4–6] In these related studies, the theory and application of GNSS coordinate time series analysis have become a research hotspot in the field of geodesy and geophysics. Using the long-term GNSS coordinate time series to study the various mechanisms of nonlinear motion, we can accurately separate the linear and nonlinear motion of the station It helps explain the plate tectonic movement reasonably, establish and maintain the Dynamic Earth Reference Frame (DTRF), and better study the geodynamic processes such as post-ice rebound, sea-level change, and inversion of ice-snow mass change

Objectives
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call