Seasonal vertical crustal motions in China detected by GPS

Zhang, Feipeng; Dong, Danan; Cheng, Zhiyu; Cheng, M. K.; Huang, Cheng

doi:10.1360/02tb9387

Cited by 13 publications

(7 citation statements)

References 16 publications

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“…Contributions from non-tectonic deformation are usually contained in the GPS site position time series [3,4,19] . Removing the non-tectonic deformation signals from the site position is vitally important to study tectonic deformation.…”

Section: Crustal Deformation Due To Surface Mass Loadingmentioning

confidence: 99%

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

Yuan

Ding

Chen

et al. 2008

Chinese J of Geophysics

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Characteristics of daily position time series from January 2001 to August 2007 at 12 GPS stations in the Hong Kong GPS fiducial network are investigated. A spatial filtering algorithm based on principal component analysis is employed to remove the common mode errors from the daily position time series. The noise characteristics of the filtered position time series are assessed by the method of maximum likelihood estimation.Contributions from atmospheric, nontidal oceanic, snow and soil moisture mass loading are evaluated. The results indicate that spatial filtering is an effective way to improve the precision of GPS position time series. The common mode errors have strong seasonal variations. The about 3 mm annual vertical variation of the common mode errors can be explained by the joint contribution of the seasonal surface mass redistributions. After removing these surface mass loading effects, the residual common mode errors are highly related to the higher-order ionospheric effects. The noise in the filtered position time series can be described as a combination of variable white noise and flicker noise. The velocity uncertainties are about 2∼6 times larger if only variable white noise is assumed. The maximum relative horizontal velocity between the sites is 1.5 mm/yr, which indicates some local fault activities. In addition, there are obvious 1∼2 mm local seasonal signals in the filtered position time series of some of the sites. The residual scatters of all filtered time series also show strong seasonal characteristics.

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Section: Crustal Deformation Due To Surface Mass Loadingmentioning

confidence: 99%

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

Yuan

Ding

Chen

et al. 2008

Chinese J of Geophysics

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“…However, positions of the core IGS stations also change periodically, it is inevitable that periodic variations exist in realization of the global reference frame. Although the global-widely distribution of IGS sites, has compensated this effect to certain degree, for a particular region this effect can still be systematic [8] .…”

Section: Periodic Change Of Reference Framesmentioning

confidence: 99%

The Effect and Correction of Non-Tectonic Crustal Deformation on Continuous GPS Position Time Series

Wang

Shen

Dong

2005

Chinese J. Geophys.

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GPS observed crustal deformation usually includes both tectonic and non‐tectonic deformation signals, and it is vitally important to remove the non‐tectonic deformation signals in the data in order to effectively use GPS observations for tectonic deformation studies. Using the Earth satellite data and geophysical models, we calculate non‐tectonic crustal deformation caused by the ocean tide loading, atmospheric mass loading, snow and soil moisture mass loading, and non‐tidal ocean mass loading. Based on the quantitative analyses, the effects due to non‐tectonic crustal deformation on the position time series of GPS fiducial stations from the Crustal Movement Observation Network of China are studied and corrected. Our study shows that these effects on the vertical components of station positions are remarkable, especially the effects resulting from the atmospheric mass loading and snow and soil moisture mass loading. Using these models to correct for the non‐tectonic deformation, we have reduced the RMS of the station vertical position by about 1mm, which is about 11% of the total RMS. The amplitudes of annual vertical position variations are also reduced by about 37%. Moreover, we find that the position time series corrected using geophysical models followed by an empirical fitting of annual and semi‐annual variations are smoother than that corrected using the empirical fitting of annual and semi‐annual variations alone, indicating that the geophysical model corrections can not be substituted by pure empirical fitting in removing the non‐tectonic deformation effects.

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“…Therefore, the errors in geophysical fluid models such as the atmospheric, oceanic and hydrological models can bring errors into the estimation of the V s . Furthermore, as pointed out by Dong et al [6] and Zhang et al [8] , when solving the GPS time series, the phase center model error and multipath error, software and solving hypothesis effects, system error of common orbit, reference frame effect, etc. will affect the final results of GPS stations.…”

Section: Discussionmentioning

confidence: 99%

Thermal Effects on Vertical Displacement of GPS Stations in China

Yan

Chen

Zhu

et al. 2010

Chinese J of Geophysics

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Surface air temperature variations can change the temperature within GPS concrete pillars as well as that of the base rock of GPS stations through heat conduction. Furthermore such variations can generate changes of vertical displacement measured at GPS stations. For example, the maximum annual amplitude of GPS vertical displacement variations induced by the temperature change of underground concrete pillar can reach to 1 mm in China, and exceeds 0.5 mm in the areas north of the Yangtze River. This maximum value is 2.8 mm at the 23 GPS stations of the Crustal Movement Observation Network of China (CMONOC), among which the value of 13 GPS stations is over 1 mm. Thus, the variation of GPS vertical displacement caused by temperature is a very important part of the observed annual variations of the vertical displacement measured at GPS stations.

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Seasonal vertical crustal motions in China detected by GPS

Cited by 13 publications

References 16 publications

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

The Effect and Correction of Non-Tectonic Crustal Deformation on Continuous GPS Position Time Series

Thermal Effects on Vertical Displacement of GPS Stations in China

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