Time series of subsidence inversion on mining area using PSIn SAR

  • role: First author第一作者
  • Affiliation:

    State Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology

    School of Info-Physics and Geomatics Engineering, Central South University

    Innovation Center for advanced construction and maintenance technology of modem transportation infrastructural facility

XING Xuemin1234,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology

HE Yueguang2,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology

WU Fan2,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology

WEN Debao2,  
  • Affiliation:

    School of Info-Physics and Geomatics Engineering, Central South University

ZHU Jianjun3,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology

XU Peng2

реферат

Due to the frequent mining activity and increasing mine geological disasters in our country, the long term dynamical monitoring and analysis of the mining area are of great importance to prevent the potential geological damage in mining area. The Permanent Scatterer Interferometric Synthetic Aperture Radar(PSIn SAR), a newly developed ground deformation monitoring technique, which may not be influenced greatly by the spatial and temporal deccorelation, has been widely applied in study on regional displacement, including the deformation of urban area, terrain area and mining area. During the step of spatial unwrapping in PSIn SAR algorithm, stable points or external known GPS points are necessary. The procedure of selecting the reference stable points is obviously uncertain and the external GPS data is difficult to obtain. Due to the shortcomings of traditional spatial unwrapping in PSIn SAR algorithm, a new method of spatial unwrapping based on periodic function is developed. Since Corner Reflector(CR) point can be installed easily, which can be applied in the area without external constrained data(such as GPS data) and avoid the uncertainty of choosing reference point in the PS parametric adjustment network, the subsidence rates calculated on CR points are used as constraints for PS network while the spatial unwrapping is performed using the parametric adjustment method. With the improved method, the PSIn SAR is applied in the inversion of time series ground deformation in mining area.With 14 ALOS PALSAR images from February 2007 to February 2010, the deformation inversion experiment is carried out. The colliery dense distribution area, around Baisha reservoir in Henan province, is chosen as the study area in the experiment. 6546 PS points except CR points are detected during the experiments. The linear velocities calculated out through traditional spatial unwrapping method are compared to that of the developed method. The algorithm achieves the integration of CR data and PSIn SAR algorithm for the first time. The authors succeed to inverse the time series of subsidence from February in 2007 to February in 2010, using the periodic function to simulate the linear and nonlinear components of the deformation. The results show that there appears obviously time series subsidence around the reservoir, with the max value over 10 cm in the colliery distribution area, due to mining activities. The subsidence mainly performs to be linear subsidence. The nonlinear subsidence only appears to be a little obvious in the northeast of the reservoir. In order to validate the result of the experiment, deformation monitoring with leveling was also carried out in the area. With comparison to the deformation result of leveling, the accuracy of ± 2.1mm is calculated.It can be concluded from the good accordance that the method has the following advantages:(1) CR point can be installed easily, hence we can choose the study area freely, which can be applied in the area without external constrained data(such as GPS data);(2) CR Point can be taken as constraining data for the spatial unwrapping of PS network and increase the redundancy number of parametric adjustment model which can make the solutions more stable;(3) Corner reflectors have high reflectivity which can be identified easily on the SAR image, thus the inaccuracy within the step of coordinate transformation can be avoided and the accuracy of the solutions can be improved.(4) It can avoid the uncertainty of choosing reference point in the PS parametric adjustment network.

ключеви́че слова́

permanent scatters;Corner Reflector(CR);constraint adjustment;mining subsidence;deformation monitoring

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