Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (5): 473-480.doi: 10.11947/j.AGCS.2015.20140296

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Impact on Nonlinear Vertical Variation of GNSS Reference Stations Caused by Thermal Expansion

JIANG Weiping1, WANG Kaihua2, DENG Liansheng2, LI Zhao3   

  1. 1. Research Center of GNSS, Wuhan University, Wuhan 430079, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    3. Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg
  • Received:2014-06-05 Revised:2014-10-15 Online:2015-05-20 Published:2015-05-27
  • Supported by:

    The National High-tech Research and Development Program of China (863 Program) (No. 2012AA12A209);The National Natural Science Foundation of China (No. 41374033)

Abstract:

Thermal expansion of GPS monuments and nearby bedrock could result in vertical changes in the coordinate time series of GNSS reference stations. In this paper, an improved method was developed to compute the magnitude of vertical variations caused by thermal expansion. Firstly, we calculated the effect on GPS monument and bedrock caused by thermal expansion based on land surface temperature data of GNSS reference stations and thermal expansion model. Secondly, we estimated the circular frequencies, amplitudes and phases using the method of least squares fitting instead of the current method which estimated only the amplitudes and phases information. Finally, we studied the periodic characteristics of the vertical variations caused by our modified thermal expansion model. Through analyzing the results of 9 representative IGS stations, we concluded that thermal expansion of GPS monuments and nearby bedrock could result in vertical variations of GNSS stations. The maximum variations could reach up to 0.57 mm and 1.85 mm at these stations respectively. The vertical variation caused by thermal expansion exhibited both annual and semiannual characteristics, which could explain 11.2% and 3.3% of the total annual and semi-annual variations in the up component of the coordinate time series respectively, and the magnitudes became larger with the increasing of their latitudes. Meanwhile, the amplitudes of the annual variations were much larger than that of the semi-annual variations. Meanwhile, some other small period (about 51 days) was also detected at some of these stations. In addition, we chose 107 IGS reference stations and computed the annual amplitudes and phases caused by thermal expansion of all these stations based on the method aforesaid. The results show that the maximum annual amplitude can reach to 3.3 mm, and their magnitudes show positive correlation with their latitudes prominently.

Key words: thermal expansion, vertical variation, periodic variation, least squares fitting

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