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Measurement of subsidence in the Yangbajing geothermal fields,Tibet,from TerraSAR-X InSAR time series analysis 被引量:1

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摘要 Yangbajain contains the largest geothermal energy power station in China.Geothermal explorations in Yangbajain first started in 1976,and two plants were subsequently built in 1981 and 1986.A large amount of geothermal fluids have been extracted since then,leading to considerable surface subsidence around the geothermal fields.In this paper,InSAR time series analysis is applied to map the subsidence of the Yangbajain geothermal fields during the period from December 2011 to November 2012 using 16 senses of TerraSAR-X stripmap SAR images.In the case of the TerraSAR-X data,most orbital fringes were removed using precise orbits during the interferometric processing.However,residual orbital ramps remain in some interferograms due to the uncertainties in the TerraSAR-X orbits.To remove the residual orbital ramps,we estimated a best-fit‘twisted plane’for each epoch interferogram using quadratic polynomial models based on a network approach.This method removes most of the long-wavelength signals,including orbit ramps and atmospheric effects.The vertically stratified component(Topography Correlated Atmospheric Delay,TCAD)was also removed using a network approach.If the influence of seasonal frozen ground(SFG)is not taken into consideration,our results show that the subsidence rate around power plant I(the south plant)is approximately 20 mm/yr with a peak of 30 mm/yr.The subsidence rate around power plant II(the north plant)is approximately 10 mm/yr,when accounting for the influence of SFG on the power plant and its surrounding ground surface.Our results show that ground motion is caused by seasonal frozen ground and is strongly related to the temperature change.
出处 《International Journal of Digital Earth》 SCIE EI CSCD 2016年第7期697-709,共13页 国际数字地球学报(英文)
基金 This work was supported by Research grant from Institute of Crustal Dynamics,China Earthquake Administration[grant numbers ZDJ2015-15 and ZDJ2013-22] National Natural Science Foundation of China[grant numbers 41104028 and 41204004] and the TerraSAR-X data we used were provided by the DLR in the frame of the General AO project LAN0208.
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