Monitoring deformation evolution in Longtan Reservoir area by multitemporal interferometric synthetic aperture radar using time sequences of spaceborne synthetic aperture radar images

Abstract In order to discover the relationship between the earth surface deformation evolution and the water impoundment/discharge and penetration process in the Longtan Reservoir area, we process a time series of images from Envisat ASAR and ALOS PALSAR instruments using an MT-InSAR technique enhanced by corner reflectors. This allows us to successfully obtain a deformation map from this densely vegetated reservoir area with karst topography. We obtain time series of precise deformation images, which show clearly, for the first time, the complete spatio-temporal earth surface deformation evolution in the whole reservoir area during the impoundment/discharge process. The results from the two kinds of data show a similar underlying pattern: (1) The water load causes subsidence in almost all of its immediate surroundings; (2) the subsidence magnitude shows cyclic variation matching seasonal water level variation. Every year, the water level starts to increase in June and quickly reaches its peak in July to August, and the subsidence immediately follows and also reaches its peak magnitude in July to August; then the water level decreases slowly, and the area rebounds slowly. (3) Statistical analysis of time-series deformation shows that about 60% of the deformation occurs during the rain season (June to August) can be restored, and the remaining 40% become permanent.

[1]  Fabrizio Novali,et al.  Monitoring horizontal and vertical surface deformation over a hydrocarbon reservoir by PSInSAR , 2010 .

[2]  Zhao Cui-ping,et al.  STUDY ON THE CHARACTERISTICS OF FOCAL MECHANISMS OF RESERVOIR INDUCED EARTHQUAKES AND STRESS FIELD IN THE LONGTAN RESERVOIR AREA , 2009 .

[3]  Yuan Yuan ANALYSIS ON POTENTIAL SEISMIC RISK IN LONGTAN RESERVOIR , 2006 .

[4]  B. Kampes Displacement parameter estimation using permanent scatterer interferometry , 2005 .

[5]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[6]  Ye Xia CR-Based SAR-Interferometry for Landslide Monitoring , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[7]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[8]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 1999, Remote Sensing.

[9]  D. Schmidt Time-dependent land uplift and subsidence in the Santa Clara Valley , 2003 .

[10]  T. Wright,et al.  Measurement of interseismic strain accumulation across the North Anatolian Fault by satellite radar interferometry , 2001 .

[11]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  P. Talwani Speculation on the causes of continuing seismicity near Koyna reservoir, India , 1995 .

[13]  P. Talwani,et al.  Pore pressure diffusion and the mechanism of reservoir-induced seismicity , 1984 .

[14]  Andrew Hooper,et al.  A multi‐temporal InSAR method incorporating both persistent scatterer and small baseline approaches , 2008 .