Font Size: a A A

InSAR Monitoring Techniques Application Oriented Research On Mining Subsidence

Posted on:2016-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:W Y ZhaoFull Text:PDF
GTID:2191330479986013Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
Mining subsidence will lead to ecological environment deterioration and building damage. Mining subsidence monitoring is the key of studying mining subsidence law and reducing mining-induced damage. Since most of the methods monitoring ground deformation point by point, it is hard to obtain the deformation value of the whole mining subsidence basin, which is one of the factors that limits the deeply research of mining subsidence law. In SAR techniques could monitor the ground deformation in in high resolution, all weather days and non-contact method. It is valuable for deeply study mining subsidence law, preventing and reducing the damage of mining subsidence on buildings to deeply study the theory and method of mining subsidence and building deformation monitoring using In SAR techniques. Based on the analysis of the source of In SAR technique errors, this paper mainly studied the suitability of mining subsidence monitoring using In SAR techniqes, deformation monitoring of the buildings in the mining area and mining subsidence prediction using In SAR techniques. The main research work and achievements of this paper are as follows,(1)Based on the analysis and research about errors resource and limitations of mining subsidence monitoring using In SAR techniques, this paper mainly studied the effect of different DEM on the In SAR techniques monitoring results. Experimental results show that DEM, achieved through 3D laser scanner and topographic map, could help DIn SAR monitored the small deformation of goaf in the gully region. While the effectiveness of using DEM that achieved through Terra SAR-X data or using SRTM3 DEM were not that good. So, we should use high resolution and high precision DEM in the deformation monitoring of complex area using DIn SAR techniques.(2)The suitability of In SAR techniques in large mining subsidence monitoring was analyzed. Based on the theory of In SAR and mining subsidence, the relationship of the minimum ratio of mining depth and mining thickness and the wavelength and ground resolution of SAR data will be obtained, which could make sure the complete deformation gradient can be monitored. It also provides method for the reasonable selection of different wavelengths, different resolution SAR images. Meanwhile, for the large sedimentation gradient area, we could combine the magnitude of SAR data, some measuring points to monitor the large mining subsidence value.(3)For the security monitoring issues of the buildings in the mining area, this paper monitored the subsidence of village, freeway and goaf using SBAS techniques, respectively, based on the analysis and research of SBAS techniques. It could avoid the limitations of In SAR techniques. Through comparing SBAS, DIn SAR and levelling results, we could know that SBAS techniques could get more reliable subsidence results when using long time series and long baseline SAR data. Meanwhile, the application of SBAS deformation monitoring method could achieve high accuracy, high spatial and temporal resolution, which could provide security monitoring technology and methods for the buildings in mining-affected zone.(4)Three-dimensional subsidence prediction method was proposed based on the time series DIn SAR technique. According to the law of the horizontal gradient of the vertical displacement and the horizontal displacements, the field measurement subsidence result of the adjacent workingface, combing with particle model theory and the monitoring results of DIn SAR techniques, we got the three-dimensional movement law. The application of using DIn SAR results and as little GPS points as possible in calculating probability integration method parameters was discussed. The way in which the GPS points are arranged or laid out was also provided.
Keywords/Search Tags:Time series InSAR, SBAS, Mining subsidence, Prediction, Probability integral method
PDF Full Text Request
Related items