Research on time series InSAR monitoring method for multiple types of surface deformation in mining area

被引:0
作者
Ya-xing Li
Ke-ming Yang
Jian-hong Zhang
Zhi-xian Hou
Shuang Wang
Xin-ming Ding
机构
[1] China University of Mining and Technology-Beijing,College of Geoscience and Surveying Engineering
来源
Natural Hazards | 2022年 / 114卷
关键词
SBAS-InSAR; PS-InSAR; Mining area; Surface deformation; Monitoring method;
D O I
暂无
中图分类号
学科分类号
摘要
Interferometric Synthetic Aperture Radar (InSAR) has become the primary remote sensing detection method for monitoring significant surface subsidence and deformation caused by underground coal mining. Time Series InSAR has been intensively researched in mining-caused deformation monitoring for its ability to provide surface deformation time series, with Small Baseline Subset InSAR (SBAS-InSAR) and Permanent Scatter InSAR (PS-InSAR) being two classical methods. To obtain the incline and curvature in mining areas and assess the building damage, this paper exploits the SBAS-InSAR and PS-InSAR techniques to estimate surface incline and curvature, following the principle of directional derivatives. The surface beneath the villages and the industrial square near the 7221 Grout-filled working face in the Huaibei mining area of Anhui Province, China, was analyzed. The estimated surface incline and curvature with SBAS-InSAR were within the threshold values specified for Class I damage, while PS-InSAR showed <1% of measurements that exceeded this threshold. This paper provides a method for monitoring the surface deformation beneath the buildings in the mine area. Meanwhile, the dynamic analysis of the damaged buildings provides a basis for determining the influence range with grout-filled working faces.
引用
收藏
页码:2479 / 2508
页数:29
相关论文
共 130 条
[1]  
Bell FG(2000)Mining subsidence and its effect on the environment: some differing examples Environ Geol 40 135-152
[2]  
Stacey TR(2002)A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms IEEE Trans Geosci Remote Sens 40 2375-2383
[3]  
Genske DD(2017)Review on InSAR based displacement monitoring of Indian Himalayas: issues, challenges and possible advanced alternatives Geocarto Int 32 298-321
[4]  
Berardino P(2009)DInSAR measurements of ground deformation by sinkholes, mining subsidence, and landslides, Ebro River, Spain Earth Surf Proc Land 34 1562-1574
[5]  
Fornaro G(2021)Decades of ground deformation in the Weihe Graben, Shaanxi Province, China, in response to various land processes, observed by radar interferometry and levelling Remote Sensing 13 16-3028
[6]  
Lanari R(2015)Geohazards monitoring in Roma from InSAR and in situ data: outcomes of the PanGeo project Pure Appl Geophys 172 2997-3491
[7]  
Sansosti E(2018)Assessment of mining-induced damage to structures using InSAR time series analysis: a case study of Jiulong Mine, China Environ Earth Sciences 77 14-2212
[8]  
Bhattacharya A(2021)Analysis and evaluation of land subsidence along linear engineering based on InSAR data KSCE J Civ Eng 25 3477-3954
[9]  
Mukherjee K(2021)Deformation monitoring in an alpine mining area in the tianshan mountains based on SBAS-InSAR technology Adv Mater Sci Eng 2021 15-258
[10]  
Castaneda C(2018)Method combining probability integration model and a small baseline subset for time series monitoring of mining subsidence Remote Sensing 10 18-864