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Analysis of seasonal crustal deformation characteristics in Dali, Yunnan using GPS observations

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper extracts and separates seasonal term of GPS (Global Positioning System) time series based on empirical mode decomposition and wavelet transformation. Through time series analysis of 9 GPS continuous stations in Dali, Yunnan, it is found that the vertical (U), north-south (N) and east-west (E) components of the relative motion have distinct annual and semi-annual period components. In the vertical direction, the U component has the strongest seasonal deformation characteristics, on the annual period term, between each station the correlation coefficient reaches 0.98, this is consistent with the relevant research results of many researchers; In horizontal direction, seasonal deformation is also more significant, the N component annual and semi-annual period signals are more obvious and the correlation coefficient is high, but the E component 9 stations signal are relatively scattered and poorly correlated. On the semi-annual period, the N and U directions have a very obvious and consistent semi-annual periodicity, and their two correlation coefficient numbers are 0.95 and 0.94 on average, respectively, the N and E are negatively correlated with a correlation coefficient of -0.98. In time series trend term, 9 stations show southeast movement in horizontal direction, but have great differences in vertical movement trend. Among them, YNLJ, YNYS, YNSD and YNLC are linear uplift movement with good consistency. YNYA, YNCX and YNJD show overall uplift movement, but with subsidence fluctuation, the trend of the three stations is very similar, with an average correlation coefficient reaches 0.8; XIAG station shows uplift movement as a whole, the relative motion trend in the E direction is very different from other stations in phase and amplitude, probably because it is closer to the Erhai lake and more susceptible to the influence of water level changes; YNYL also has different motion changes at different times, but the overall performance is subsidence motion. The analysis suggests that the GPS time series contains rich information on the seasonal deformation of the Earth’s crust, and precipitation has an important role in influencing the seasonal deformation of continuous stations.
Słowa kluczowe
Czasopismo
Rocznik
Strony
1473--1482
Opis fizyczny
Bibliogr. 40 poz.
Twórcy
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
autor
  • The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China
Bibliografia
  • 1. Chen Q, Dam TV, Sneeuw N et al (2013) Singular spectrum analysis for modeling seasonal signals from GPS time series. J Geodyn 72:25-35
  • 2. Dai WJ, Ding XL, Zhu JJ et al (2006) EMD filter method and its application in GPS multipath. Acta Geodaetica Et Cartographica Sinica 35(4):321-327
  • 3. Davis JL, Wernicke BP, Tamisiea ME (2012) On seasonal signals in geodetic time series. J Geophys Res Solid Earth 117:B01403
  • 4. Ding N, Xie Yu, Chen CY et al (2021) Analysis of monitoring effect of buried fault cross-fault site based on structural physical modeling experiment: a case study of ninghe site. J Geod Geodyn 41(8):810-815
  • 5. Gan WJ, Zhang PZ, Shen ZK et al (2007) Present-day crustal motion within the Tibetan Plateau inferred from GPS measurements. J Geophys Res Solid Earth 112(B8):B08416
  • 6. Gruszczynska M, Rosat S, Klos A et al (2018) Multichannel singular spectrum analysis in the estimates of common environmental effects affecting GPS observations. Pure Appl Geophys 175(5):1805-1822
  • 7. Huang NE, Shen Z, Long SR et al (1998) The empirical mode decomposition and the Hilbet spectrum for nonlinear and non-stationary time series analysis. Proc Math Phys Eng Sci 454(1971):903-995
  • 8. Jia YF, Zhu XH, Sun FP et al (2023) Time-varying characteristics and cause analysis of annual amplitudes of GNSS vertical coordinate time series. Chin J Geophys 66(1):162-172
  • 9. Jiang WP, Li Z, Liu HF et al (2013) Cause analysis of the non-linear variation of the IGS reference station coordinate time series inside China. Chin J Geophys 56(7):2228-2237
  • 10. Jiang WP, Wang KH, Deng LS et al (2015) Impact on nonlinear vertical variation of GNSS reference stations caused by thermal expansion. Acta Geodaetica Et Cartographica Sinica 44(05):473-480
  • 11. Li Q, You XZ, Yang SZ et al (2012) A precise velocity field of tectonic deformation in China as inferred from intensive GPS observations. Sci China D 55(5):695-698
  • 12. Li Y, Liu X, Liu XK et al (2016) Activity analysis of faults around Qilianshan before the 2016 Menyuan Ms6.4 earthquake. J Geod Geodyn 36(04):288-293
  • 13. Li Y, Liu XK, Zheng ZJ et al (2019) Comprehensive extraction of fault deformation anomalies in Gansu and nearby areas and summary of earthquake cases. J Geod Geodyn 39(12):1254-1260
  • 14. Li JW, Song XD, Yang Y et al (2021) Strong seasonal variations of seismic velocity in eastern margin of Tibetan Plateau and Sichuan Basin from ambient noise interferometry. J Geophys Res Solid Earth 126(11):1-6
  • 15. Li WQ (2019) Research on monitoring of terrestrial water storage change and its load deformation combining with GNSS and Grace data processing. Shandong University of Science and Technology, Doctoral Dissertation
  • 16. Liang SM, Gan WJ, Shen CZ et al (2013) Three-dimensional velocity field of present-day crustal motion of the Tibetan Plateau derived from GPS measurements. J Geophys Res 118(10):5722-5732
  • 17. Liang HB, Liu ZG, Huang LR et al (2015) Effects of non-tectonic deformation on the vertical periodic motion of GNSS reference stations in China. J Geod Geodyn 35(4):589-593
  • 18. Liang HB, Zhan W, Li JW (2021) Vertical surface displacement of mainland China from GPS using the multisurface function method. Adv Space Res 68(12):4898-4915
  • 19. Liu XK, Liang HB, Ding ZF (2022) Analyzing the seasonal deformation of the Sichuan-Yunnan region using GNSS, GRACE, and precipitation data. Appl Sci 12(11):5675
  • 20. Liu XK, Ding ZF, Li Y et al (2023) Application of EMD to GNSS time series periodic term processing. Geomat Inf Sci Wuhan Univ 48(1):135-145
  • 21. Lu TD, Qian WL, He XX et al (2020) An improved EMD method for determining boundary IMF. J Geod Geodyn 40(07):720-725
  • 22. Luo FX, Dai WJ, Wu XX (2012) EMD filtering based on cross-validation and its application in GPS multipath. Geomat Inf Sci Wuhan Univ 37(4):450-453
  • 23. Ma W, Wang YF, Xi MS et al (2022) Analysis on succession and driving force of aquatic macrophyte in Erhai Lake over 60 years. Yangtze River 53(06):74-82
  • 24. Ming F, Yang YX, Zeng AM et al (2016) Analysis of seasonal signals and long-term trends in the height time series of IGS sites in China. Sci China Earth Sci 46(06):834-844
  • 25. Peng JY, Wu Y, Hou ZY et al (2022) Water quality characteristics of irrigation and drainage ditches in western Erhai Lake Basin and the effect of land uses. J Environ Eng Technol 12(3):675-682
  • 26. Shen X, Liang HB, Wang JQ et al (2019) Surface deformation monitoring of northern Shanxi area based on the technology of PS-InSAR. North China Earthq Sci 37(01):6-11
  • 27. Sheng CZ (2013) Characteristics of non-tectonic crustal deformation from surface loads around Chinese mainland and correction model. Institute of Geology, China Earthquake Administration, Doctoral Dissertation
  • 28. Torrence CG, Compo GP (1998) A Practical guide to wavelet analysis. Bull Am Meteor Soc 79(1):61-78
  • 29. 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(2):e2019JB018774
  • 30. Wang M, Shen ZK (2020b) Present-day tectonic deformation in continental China: thirty years of GPS observation and research. Earthq Res China 36(04):660-683
  • 31. Wang M, Shen ZK, Dong DN (2005) Effects of non-tectonic crustal deformation on continuous GPS position time series and correction to them. Chin J Geophys 48(5):1045-1052
  • 32. Xu XQ, Fang M, Dong DN et al (2020) The physical cause of seasonal surface deformation. Prog Astron 38(02):209-218
  • 33. Zerbini S, Matonti F, Raicich F et al (2004) Observing and assessing nontidal ocean loading using ocean, continuous GPS and gravity data in the Adriatic area. Geophys Res Lett 31(23):L23609. https://doi.org/10.1029/2004GL021185
  • 34. Zhan W, Li JW (2021) Extraction and analysis of the common-mode component of GNSS time series in Yunnan. J Seismol Res 44(01):56-63
  • 35. Zhan W, Li F, Hao WF et al (2017) Regional characteristics and influencing factors of seasonal vertical crustal motions in Yunnan. China Geophys J Int 210(3):1295-1304
  • 36. Zhang FY, Jiao JH, Jiao JL et al (2012) Application of piecewise cubic Hermite interpolation in data compensation of automatic testing system. Mod Electron Tech 35(13):143-145148
  • 37. Zhang SC, He YF, Li ZY et al (2017) EMD for noise reduction of GPS time series. J Geod Geodyn 37(12):1248-1252
  • 38. Zhang J, Wang XY, Hu XG (2019) Analysis of GPS stations’ time series based on PCA method. J Geod Geodyn 39(6):613-619
  • 39. Zhou MS, Guo JY, Yi S et al (2018) Extraction of common mode errors of GNSS coordinate time series based on multi-channel singular spectrum analysis. Chin J Geophys 61(11):4383-4395
  • 40. Zhu S, Zhan W, Liang HB et al (2022) Coseismic deformation characteristics before the Menyuan, Qinghai M6.9 earthquake from GNSS observation data. China Earthq Eng J 44(2):370-379
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5f0995b7-e4b3-4b8f-9f17-095053d6fe22
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