Latest GNSS Results of the CMONOC Network and Its Application in Earthquake Monitoring
- 1.5k Downloads
Crustal Movement Observation Network Of China (CMONOC) is a fundamental facility which has wide-range applications in diverse areas with high precision and high spatial resolution. CMONOC network consists of GNSS, VLBI, SLR and gravity observing stations. The observation data contributes to the GNSS meteorology, plate tectonics and earthquake monitoring etc. Shanghai Astronomical Observatory (SHAO) is one of the data centers of the CMONOC network. We developed the CMONOC GNSS data processing platform and provide precise products supporting CMONOC applications. In this paper, we present the latest results from the routine data analysis. Besides the conventional results of GNSS orbits, clocks, ERPs and station coordinates etc., we present for the first time the following results: (1) regional velocity field for the 247 continuous stations, which is derived based on integrated data analysis of the CMONOC and IGS network; (2) earthquake monitoring by ionosphere disturbance analysis, which is realized by analyzing the ionosphere TEC changes time series using the quartile method; (3) earthquake monitoring by instantaneous station motion analysis, which is determined by differential 1 Hz phase observation in real-time.
KeywordsCMONOC GGDAA Velocity field Earthquake Ionosphere
This paper is supported by the 100 Talents Programme of The Chinese Academy of Sciences, the National High Technology Research and Development Program of China (Grant No. 2013AA122402), the National Natural Science Foundation of China (NSFC) (Grant No. 11273046 and 40974018), and the Shanghai Committee of Science and Technology (Grant No. 12DZ2273300,13PJ1409900).
- 1.Wang Y, Liu L, Liang H, Ding K et al (2006) Research on precipitable water vapor in plateau and plain areas with GPS technique. J Geodesy Geodyn 26(1):88–92 (in Chinese)Google Scholar
- 2.Liu J, Shi C, Xu C, Jiang W (2001) Present day crustal movement speed field of China continent block using local repeated GPS network. Geomatics Inf Sci 26(3):189–195 (Journal of Wuhan University, in Chinese)Google Scholar
- 3.Junping C, Bin W, Xiaogong H, Haojun L (2012) Shanghai astronomical observatory CMONOC data analysis center. In: The 3rd China satellite navigation academic conference electronic proceedings-S08 satellite navigation model and method (in Chinese)Google Scholar
- 4.Junping C, Bin W, Xiaogong H, Haojun L (2012) SHA: the GNSS analysis center at SHAO. In: Proceedings of the 3rd China Satellite Navigation Conference, CSNC 2012, revised selected papers. Lecture Notes in Electrical Engineering, vol 160 LNEE, pp 213–221Google Scholar
- 5.Shanghai Observatory GNSS Analysis Center. http://www.shao.ac.cn/shao_gnss_ac
- 7.Danan D, Peng F et al (2006) Spatiotemporal filtering using principal component analysis and Karhunen-Loeve expansion approaches for regional GPS network analysis. J Geophys Res, 111:B03405Google Scholar
- 8.Min W, Zhengkang S, Zhijun N et al (2003) The crustal movement of and activity block model. Sci China 33:21–32 (in Chinese) Google Scholar
- 9.Ye S, Huang C (2000) Astrogeodynamics. Shandong Science and Technology Press, Shandong (in Chinese)Google Scholar
- 10.Barnes RA, Leonard RS (1965) Observations of ionospheric disturbance following the Alaska earthquake. J Geophys Res 70(9):1250–1253Google Scholar
- 11.Zhao Y, Zhang X, Liu J (2010) The ionospheric electron content disturbance analysis before and after the WenChun earthquake. Prog Geophys 25(4):447–453 (in Chinese)Google Scholar
- 12.Zhang X, Guo B (2013) Real-time tracking the instantaneous movement of crust during earthquake with a stand-alone GPS receiver. Chin J Geophys 56(2):1928–1936 (in Chinese)Google Scholar