基于SBAS-InSAR的矿区地表沉降监测与分析

李达; 邓喀中; 高晓雄; 牛海鹏

doi:10.13203/j.whugis20160566

基于SBAS-InSAR的矿区地表沉降监测与分析

李达^1,,
邓喀中^2, ,,
高晓雄³,
牛海鹏⁴

1.
国家测绘地理信息局第二地理信息制图院, 黑龙江哈尔滨, 150081
2.
中国矿业大学国土环境与灾害监测国家测绘地理信息局重点实验室, 江苏徐州, 221116
3.
浙江省测绘科学技术研究院, 浙江杭州, 310012
4.
江苏省基础地理信息中心, 江苏南京, 210008

基金项目:

国家自然科学基金 41272389

江苏高校优势学科建设工程资助项目 SZBF2011-6-B35

详细信息

作者简介:
李达, 硕士生, 主要从事InSAR技术的理论和应用研究。cumt_ld@163.com

通讯作者:
邓喀中, 教授。kzdeng@cumt.edu.cn

中图分类号: P258
计量
- 文章访问数: 2815
- HTML全文浏览量: 1093
- PDF下载量: 496
出版历程
- 收稿日期: 2017-05-07
- 发布日期: 2018-10-04

Monitoring and Analysis of Surface Subsidence in Mining Area Based on SBAS-InSAR

1.
The Second Geographic Information and Mapping Institution of NASG, Harbin 150081, China
2.
NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China
3.
Zhejiang Academy of Surveying and Mapping, Hangzhou 310012, China
4.
Provincial Geomatics Centre of Jiangsu, Nanjing 210008, China

Funds:

The National Natural Science Foundation of China 41272389

the Priority Academic Program Development of Jiangsu Higher Education Institutions SZBF2011-6-B35

More Information

Author Bio:
LI Da, postgraduate, specializes in the theory and application of InSAR. E-mail: cumt_ld@163.com

Corresponding author:
DENG Kazhong, professor. E-mail:kzdeng@cumt.edu.cn

摘要

摘要: 针对雷达差分干涉测量技术（differential interferometry synthetic aperture radar，DInSAR）易受时空失相关、大气相位延迟等因素的影响，采用小基线集技术（small baseline subset，SBAS）对13景TerraSAR-X数据进行时序处理，估算并去除了残余数字高程模型误差、大气延迟误差和轨道误差，分析了研究区域2012-2013年沉降速率，发现2310和1301两工作面最大下沉速率分别为40 mm/a和50 mm/a；分析时序累计沉降值发现，2306、2308、2310这3个工作面在2012年11月15日之前地面沉降并不明显；在2310和1301工作面分别提取3个失相干现象表现较为缓慢的候选点进行时序分析，发现沉降值和时间成线性变化关系，且开采时间越早，其沉降特性越符合线性变化；将SBAS和DInSAR两种方法获得的累计沉降值进行差值分析，发现两种方法的差值在5 mm以内；在2310工作面走向方向和倾向方向选取若干观测点，并提取各观测点的时序沉降值对工作面时序沉降进行量化分析，实验表明SBAS-InSAR技术在矿区地表沉降监测与分析方面具有良好的应用前景。
- DInSAR技术 /
- SBAS-InSAR技术 /
- 煤矿地区 /
- 时序分析 /
- 形变监测
Abstract: DInSAR technique is easily influenced by decorrelation of time and space and atmosphere delay, SBAS(small baseline subset technique) was applied to process 13 scene of TerraSAR-X data. The residual DEM error, atmospheric delay error and orbit error are estimated and removed. The maximum subsidence rates of 2310 and 1301 working faces were 40 mm/a and 50 mm/a respectively by analyzing the subsidence rate of the coal mine area from 2012 to 2013. It found that the land subsidence of 2306, 2308, 2310 working faces is not obvious before November 15, 2012 by analyzing the timing cumulative subsidence map. Three candidate points of slowly decorrelation filter phase in the 2310 and the 1301 working faces were extracted respectively to be analyzed and we found that the relationship between sedimentation value and time was linear, moreover, the earlier the mining time was, the more the linear variation of the sedimentation characteristics was. Cumulative settlement values obtained by the SBAS and DInSAR were compared and analyzed and turned out that the difference between the two methods was less than 5 mm. The time sequence subsidences of several points in the trending and orientation of 2310 working face were selected and extracted, the surface subsidence of study area in different time period was quantitative analysis by analyzing the displacements of these points. Experiments show that SBAS-InSAR technology has a good application prospect in the monitoring and analysis of surface subsidence in mining area.
- DInSAR technology /
- SBAS-InSAR technology /
- coal mine area /
- timing analysis /
- subsi-dence monitoring

HTML全文

图 1 时空基线图

Figure 1. The Baseline Map of Time and Space

下载: 全尺寸图片幻灯片

图 2 研究区域垂直沉降速率

Figure 2. Vertical Subsidence Rate of the Study Area

下载: 全尺寸图片幻灯片

图 3 研究区域时序累计沉降

Figure 3. The Timing Cumulative Subsidence of the Study Area

下载: 全尺寸图片幻灯片

图 4 DInSAR和SBAS累计沉降值

Figure 4. The Cumulative Subsidence of DInSAR and SBAS

下载: 全尺寸图片幻灯片

图 5 研究区域沉降特征

Figure 5. The Settlement Characteristics of the Study Area

下载: 全尺寸图片幻灯片

图 6 DInSAR、SBAS沉降值

Figure 6. The Settlement of DInSAR and SBAS

下载: 全尺寸图片幻灯片

图 7 SBAS和DInSAR差值统计

Figure 7. Difference Statistics of SBAS and DInSAR

下载: 全尺寸图片幻灯片

图 8 走向时序累计沉降值

Figure 8. Timing Cumulative Subsidence of Trending

下载: 全尺寸图片幻灯片

图 9 倾向时序累计沉降值

Figure 9. Timing Cumulative Subsidence of Orientation

下载: 全尺寸图片幻灯片

参考文献(15)

[1]	何国清, 杨伦, 凌赓娣, 等.矿山开采沉陷学[M].徐州:中国矿业大学出版社, 1994 He Guoqing, Yang lun, Ling Gengdi, et al. Mining Subsidence Theory[M]. Xuzhou:China University of Mining and Technology Publisher, 1994
[2]	邹友峰, 邓喀中, 马伟民.开采沉陷控制工程[M].徐州:中国矿业大学出版社, 2003 Zou Youfeng, Deng Kazhong, Ma Weimin. Mining Subsidence Control Engineering[M]. Xuzhou:China University of Mining and Technology Publisher, 2003
[3]	杨伦.矿山开采沉陷对环境的损害比地震严重[J].科技导报, 2001(9):53-55 doi: 10.3321/j.issn:1000-7857.2001.09.018 Yang Lun. The Mining Subsidence Destroys the Environment of Mine Areas More Seriously than Earthquake[J].Science and Technology Review, 2001(9):53-55 doi: 10.3321/j.issn:1000-7857.2001.09.018
[4]	朱建军, 邢学敏, 胡俊, 等.利用InSAR技术监测矿区地表形变[J].中国有色金属学报, 2011, 21(10):2564-2576 http://d.old.wanfangdata.com.cn/Periodical/zgysjsxb201110022 Zhu Jianjun, Xing Xuemin, Hu Jun, et al. Monitoring of Ground Surface Deformation in Mining Area with InSAR Technique[J].The Chinese Journal of Nonferrous Metals, 2011, 21(10):2564-2576 http://d.old.wanfangdata.com.cn/Periodical/zgysjsxb201110022
[5]	胡波, 汪汉胜.二轨法DInSAR技术监测城市地表沉降[J].测绘工程, 2010, 19(2):37-41 doi: 10.3969/j.issn.1006-7949.2010.02.012 Hu Bo, Wang Hansheng. Urban Land Subsidence Measurement by Two-pass DInSAR[J]. Engineering of Surveying and Mapping, 2010, 19(2):37-41 doi: 10.3969/j.issn.1006-7949.2010.02.012
[6]	张洁, 胡光道, 罗宁波.InSAR技术在滑坡监测中的应用研究[J].工程地球物理学报, 2004, 1(2):147-153 doi: 10.3969/j.issn.1672-7940.2004.02.010 Zhang Jie, Hu Guangdao, Luo Ningbo. Landslide Monitoring by InSAR[J].Chinese Journal of Engineering Geophysics, 2004, 1(2):147-153 doi: 10.3969/j.issn.1672-7940.2004.02.010
[7]	邓喀中, 姚宁, 卢正, 等.D-InSAR监测开采沉陷的实验研究[J].金属矿山, 2009(12):25-27 doi: 10.3321/j.issn:1001-1250.2009.12.006 Deng Kazhong, Yao Ning, Lu Zheng, et al. Experimental Research on Monitoring Mining Subsidence by D-InSAR Technique[J].Metal Mine, 2009(12):25-27 doi: 10.3321/j.issn:1001-1250.2009.12.006
[8]	王志勇, 张继贤, 黄国满.基于InSAR的济宁矿区沉降精细化监测与分析[J].中国矿业大学学报, 2014, 43(1):169-174 http://d.old.wanfangdata.com.cn/Periodical/zgkydxxb201401026 Wang Zhiyong, Zhang Jixian, Huang Guoman. Precise Monitoring and Analysis of the Land Subsi-dence in Jining Coal Mining Area Based on InSAR Technique[J].Journal of China University of Mining and Technology, 2014, 43(1):169-174 http://d.old.wanfangdata.com.cn/Periodical/zgkydxxb201401026
[9]	范洪冬.InSAR若干关键算法及其在地表沉降监测中的应用研究[D].徐州: 中国矿业大学, 2010 http://cdmd.cnki.com.cn/Article/CDMD-10290-2010280170.htm Fan Hongdong. Study on Several Key Algorithms of InSAR Technique and Its Application in Land Sub-sidence Monitoring[D]. Xuzhou: China University of Mining and Technology, 2010 http://cdmd.cnki.com.cn/Article/CDMD-10290-2010280170.htm
[10]	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
[11]	Hooper A, Zebker H, Segall P, et al. A New Method for Measuring Deformation on Volcanoes and Other Natural Terrains Using InSAR Persistent Scatterers[J]. Geophysical Research Letters, 2004, 31(23):1-5 doi: 10.1029-2004GL021737/
[12]	Hooper A, Segall P, Zebker H. Persistent Scatterer Inteferometric Synthetic Aperture Radar for Crustal Deformation Analysis, with Application to Vlocan Alcedo, Gala pagos[J]. Journal of Geophysical Research, 2007, 112(B7 doi: 10.1029/2006JB004763/full
[13]	祝传广.融合多源SAR影像的形变监测研究[D].徐州: 中国矿业大学, 2015 http://cdmd.cnki.com.cn/Article/CDMD-10290-1015972420.htm Zhu Chuanguang. Study on the Deformation Monitoring Based on Integrating of Multi-source SAR Images[D]. Xuzhou: China University of Mining and Technology, 2015 http://cdmd.cnki.com.cn/Article/CDMD-10290-1015972420.htm
[14]	李珊珊, 李志伟, 胡俊, 等.SBAS-InSAR技术监测青藏高原季节性冻土形变[J].地球物理学报, 2013, 56(5):1476-1486 http://d.old.wanfangdata.com.cn/Periodical/dqwlxb201305006 Li Shanshan, Li Zhiwei, Hu Jun, et al. Investigation of the Seasonal Oscillation of the Permafrost over Qinghai-Tibet Plateau with SBAS-InSAR Algorithm[J]. Chinese Journal of Geophysics, 2013, 56(5):1476-1486 http://d.old.wanfangdata.com.cn/Periodical/dqwlxb201305006
[15]	张金芝, 黄海军, 毕海波.SBAS时序分析技术监测现代黄河三角洲地面沉降[J].武汉大学学报·信息科学版, 2016, 41(2):242-248 http://ch.whu.edu.cn/CN/abstract/abstract3462.shtml Zhang Jinzhi, Huang Haijun, Bi Haibo. Monitoring Ground Subsidence in the Modern Yellow River Dleta Based on SBAS Time-Series Analysis[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2):242-248 http://ch.whu.edu.cn/CN/abstract/abstract3462.shtml