Application of time series InSAR technology in monitoring ground deformation of mining area:A case study at Huolinhe open pit mining area in Inner Mongolia
-
摘要:
针对露天矿区与城区地表相干性不一的特征,提出一种改进的时序InSAR(合成孔径雷达干涉测量)技术对霍林河矿区及周围城区地表进行形变监测。首先,通过增加时间采样密度控制相干性来筛选矿区周边具备一定相干点密度的干涉数据;其次,采用经过参数优化的分布式散射点选取方法选取分布式目标并使用传统方法提取永久散射体;最后,将分布式目标与永久散射体目标混合构建Delaunay三角网进行两次回归分析得到研究区域地表形变速率。实验结果显示,霍林河矿区边坡最大形变速率达到−630 mm/a,矿区周边道路地面最大沉降速率达到71 mm/a,霍林郭勒市地表沉降速率最大达到15 mm/a,与同期GPS监测结果进行对比,证明改进的时序InSAR技术方法适用性良好,对矿业城市地表形变监测提出了一种新的InSAR监测方法。
Abstract:In view of the inconsistency of surface coherence between the open-pit mining area and its urban area, an improved time-series InSAR(synthetic Aperture radar interferometry) technique is proposed to monitor the surface deformation of Huolinhe mining area and its surrounding urban area in this paper. First of all, through increasing the density of time sampling to control the coherence, so as to screen interference data with certain coherent point density around the mining area;Secondly,a distributed scatterer selection method with optimized parameters is used to select distributed targets and the permanent scatterers are extracted by traditional methods; Finally, the Delaunay triangulation network was constructed by mixing the distributed target and the permanent scatterer target, and the surface deformation rate in the study area was obtained by two regression analyses. The experimental results shows that the largest mine slope deformation rate of Huolinhe reached -630 mm/a, the maximum subsidence rate of surrounding roads of mining area ground reached 71 mm/a, the surface subsidence rate in Holingol city reached 15 mm/a, compared with GPS monitoring results of the same period, the applicability of this method is proved to be good.
-
Key words:
- timing sequence InSAR /
- deformation in mining area /
- surface deformation /
- Sentinel 1
-
表 1 研究区SAR数据参数表
Table 1. SAR data parameter table in the research area
参数 Sentinel 1 幅宽/km 250 雷达波长/cm 5.6 空间分辨率/(m×m) 5×20 重访周期/d 12 影像数量/景
轨道号29149(降轨) 时间覆盖范围 2019-01-04—2019-12-30 表 2 研究区累积沉降量表
Table 2. Cumulative settlement scale
1—3月 4—6月 7—9月 10—12月 平均沉降量/mm 5.3 14.7 16.2 12.5 最大沉降量/mm 31.3 46.5 264.7 36.7 表 3 GPS监测结果与同期InSAR监测结果比较
Table 3. Comparison of GPS monitoring results with InSAR monitoring results in the same period
点号 InSAR形变速率/(mm·a-1) GPS形变速率/(mm·a-1) 互差/(mm·a-1) A −12.46 −10.72 −1.74 B −31.27 −35.34 4.07 C −9.57 −5.39 −4.18 D −6.18 −8.42 2.24 E −16.73 −15.97 −0.76 F −26.49 −20.85 −5.64 -
[1] 姚佳明, 姚鑫, 陈剑, 等. 基于InSAR技术的缓倾煤层开采诱发顺层岩体地表变形模式研究[J]. 水文地质工程地质,2020,47(3):135 − 146. [YAO Jiaming, YAO Xin, CHEN Jian, et al. A study of deformation mode and formation mechanism of a bedding landslide induced by mining of gently inclined coal seam based on InSAR technology[J]. Hydrogeology & Engineering Geology,2020,47(3):135 − 146. (in Chinese with English abstract)
[2] 任月龙, 李如仁, 张信. 基于多传感器网的露天矿边坡形变监测[J]. 煤炭学报,2014,39(5):868 − 873. [REN Yuelong, LI Ruren, ZHANG Xin. Open pit slope deformation monitoring based on multiple-sensors[J]. Journal of China Coal Society,2014,39(5):868 − 873. (in Chinese with English abstract)
[3] 潘光永, 陶秋香, 陈洋, 等. 基于SBAS-InSAR的山东济阳矿区沉降监测与分析[J]. 中国地质灾害与防治学报,2020,31(4):100 − 106. [PAN Guangyong, TAO Qiuxiang, CHEN Yang, et al. Monitoring and analysis of sedimentation in Jiyang mining area of Shandong Province based on SBAS-InSAR[J]. The Chinese Journal of Geological Hazard and Control,2020,31(4):100 − 106. (in Chinese with English abstract)
[4] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375 − 2383. doi: 10.1109/TGRS.2002.803792
[5] FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8 − 20. doi: 10.1109/36.898661
[6] 朱建军, 李志伟, 胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报,2017,46(10):1717 − 1733. [ZHU Jianjun, LI Zhiwei, HU Jun. Research progress and methods of InSAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1717 − 1733. (in Chinese with English abstract) doi: 10.11947/j.AGCS.2017.20170350
[7] 刘一霖, 张勤, 黄海军, 等. 矿区地表大量级沉陷形变短基线集InSAR监测分析[J]. 国土资源遥感,2017,29(2):144 − 151. [LIU Yilin, ZHANG Qin, HUANG Haijun, et al. Monitoring and analyzing large scale land subsidence over the mining area using small baseline subset InSAR[J]. Remote Sensing for Land & Resources,2017,29(2):144 − 151. (in Chinese with English abstract)
[8] 仝云霄, 黄岩, 陈宇, 等. D-InSAR矿区地表沉降监测及时空分析[J]. 测绘科学,2020,45(3):67 − 73. [TONG Yunxiao, HUANG Yan, CHEN Yu, et al. Surface subsidence monitoring and spatio-temporal analysis in mining area based on D-InSAR[J]. Science of Surveying and Mapping,2020,45(3):67 − 73. (in Chinese with English abstract)
[9] 张学东, 葛大庆, 吴立新, 等. 基于相干目标短基线InSAR的矿业城市地面沉降监测研究[J]. 煤炭学报,2012,37(10):1606 − 1611. [ZHANG Xuedong, GE Daqing, WU Lixin, et al. Study on monitoring land subsidence in mining city based on coherent target small-baseline InSAR[J]. Journal of China Coal Society,2012,37(10):1606 − 1611. (in Chinese with English abstract)
[10] 任文静, 贾洪果, 闫斌. SBAS-InSAR方法支持下的矿区地表沉降监测及参数反演[J]. 测绘通报,2021(3):113 − 117. [REN Wenjing, JIA Hongguo, YAN Bin. Monitoring and parameter inversion of ground subsidence in mining area based on SBAS-InSAR method[J]. Bulletin of Surveying and Mapping,2021(3):113 − 117. (in Chinese with English abstract)
[11] 蒋金雄, 杜玉玲, 陈宇, 等. 利用DS-InSAR技术监测沛北矿区地表形变[J]. 测绘通报,2021(2):117 − 121. [JIANG Jinxiong, DU Yuling, CHEN Yu, et al. Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique[J]. Bulletin of Surveying and Mapping,2021(2):117 − 121. (in Chinese with English abstract)
[12] 谢文斌, 左小清, 刘玉忠, 等. 利用Sentinel-1A数据监测抚顺市地表形变[J]. 大地测量与地球动力学,2019,39(12):1270 − 1276. [XIE Wenbin, ZUO Xiaoqing, LIU Yuzhong, et al. Surface deformation monitoring of Fushun using sentinel-1A data[J]. Journal of Geodesy and Geodynamics,2019,39(12):1270 − 1276. (in Chinese with English abstract)
[13] 蒋弥, 丁晓利, 李志伟. 时序InSAR同质样本选取算法研究[J]. 地球物理学报,2018,61(12):4767 − 4776. [JIANG Mi, DING Xiaoli, LI Zhiwei. Homogeneous pixel selection algorithm for multitemporal InSAR[J]. Chinese Journal of Geophysics,2018,61(12):4767 − 4776. (in Chinese with English abstract) doi: 10.6038/cjg2018L0490
[14] 师芸, 李伟轩, 唐亚明, 等. 时序InSAR技术在地球环境监测及其资源管理中的应用: 以交城-清徐地区为例[J]. 武汉大学学报·信息科学版,2019,44(11):1613 − 1621. [SHI Yun, LI Weixuan, TANG Yaming, et al. Time series InSAR measurement for earth environmental monitoring and resource management: a case study of Jiaocheng-Qingxu area[J]. Geomatics and Information Science of Wuhan University,2019,44(11):1613 − 1621. (in Chinese with English abstract)
[15] 范景辉, 郭华东, 郭小方, 等. 基于相干目标的干涉图叠加方法监测天津地区地面沉降[J]. 遥感学报,2008,12(1):111 − 118. [FAN Jinghui, GUO Huadong, GUO Xiaofang, et al. Monitoring subsidence in Tianjin area using interferogram stacking based on coherent targets[J]. Journal of Remote Sensing,2008,12(1):111 − 118. (in Chinese with English abstract) doi: 10.11834/jrs.20080115
[16] 李鹏, 李振洪, 李陶, 等. 宽幅InSAR大地测量学与大尺度形变监测方法[J]. 武汉大学学报·信息科学版,2017,42(9):1195 − 1202. [LI Peng, LI Zhenhong, LI Tao, et al. Wide-swath InSAR geodesy and its applications to large-scale deformation monitoring[J]. Geomatics and Information Science of Wuhan University,2017,42(9):1195 − 1202. (in Chinese with English abstract)
[17] 张路, 廖明生, 董杰, 等. 基于时间序列InSAR分析的西部山区滑坡灾害隐患早期识别: 以四川丹巴为例[J]. 武汉大学学报·信息科学版,2018,43(12):2039 − 2049. [ZHANG Lu, LIAO Mingsheng, DONG Jie, et al. Early detection of landslide hazards in mountainous areas of West China using time series SAR interferometry—A case study of Danba, Sichuan[J]. Geomatics and Information Science of Wuhan University,2018,43(12):2039 − 2049. (in Chinese with English abstract)
[18] 崔潇, 周妍如, 刘孝阳, 等. 平朔露天煤矿复垦区不同地质层组岩土质量综合评价[J]. 水文地质工程地质,2021,48(2):164 − 173. [CUI Xiao, ZHOU Yanru, LIU Xiaoyang, et al. Comprehensive evaluation of rock and soil quality of different geological stratum groups in Pingshuo opencast coal mine reclamation area[J]. Hydrogeology & Engineering Geology,2021,48(2):164 − 173. (in Chinese with English abstract)