联合DInSAR与Offset-tracking技术监测高强度采区开采沉陷的方法

doi:10.12082/dqxxkx.2020.190741

地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (12): 2425-2435.doi: 10.12082/dqxxkx.2020.190741

联合DInSAR与Offset-tracking技术监测高强度采区开采沉陷的方法

徐小波¹^,^*(), 马超²^,³, 单新建⁴, 连达军¹, 屈春燕⁴, 白俊武¹

1.苏州科技大学环境科学与工程学院,苏州 215009
2.河南理工大学测绘与国土信息工程学院, 焦作 454003
3.河南理工大学自然资源部矿山时空信息与生态修复重点实验室,焦作 454003
4.中国地震局地质研究所地震动力学国家重点实验室,北京 100029

收稿日期:2019-12-02 修回日期:2020-04-13 出版日期:2020-12-25 发布日期:2021-02-25
通讯作者: 徐小波 E-mail:Tim-xxb@163.com
作者简介:徐小波（1988— ）,男,江西上饶人,讲师,博士,主要从事InSAR监测地表形变研究。E-mail: Tim-xxb@163.com
基金资助:
国家自然科学基金项目(41701515);国家自然科学基金委员会与神华集团有限责任公司联合基金项目(U1261106);国家自然科学基金委员会与神华集团有限责任公司联合基金项目(U1261206);地震动力学国家重点实验室开放基金(LED2018B04);江苏省自然科学基金(BK20170379)

Monitoring Ground Subsidence in High-intensity Mining Area by Integrating DInSAR and Offset-tracking Technology

XU Xiaobo¹^,^*(), MA Chao²^,³, SHAN Xinjian⁴, LIAN Dajun¹, QU Chunyan⁴, BAI Junwu¹

1. School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
2. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
3. Key Laboratory of Spatio-temporal Information and Ecological Restoration of Mines(MNR), Henan Polytechnic University, Jiaozuo 454003, China
4. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China

Received:2019-12-02 Revised:2020-04-13 Online:2020-12-25 Published:2021-02-25
Contact: XU Xiaobo E-mail:Tim-xxb@163.com
Supported by:
National Natural Science Foundation of China(41701515);National Natural Science Foundation of China and the Shenhua Coal Industry Group Company Limited(U1261106);National Natural Science Foundation of China and the Shenhua Coal Industry Group Company Limited(U1261206);State Key Laboratory of Earthquake Dynamics(LED2018B04);National Natural Science Foundation of Jiangsu Province(BK20170379)

摘要/Abstract

摘要：

高强度煤炭开采产生巨大的地表形变,形变相位梯度过大导致干涉测量解缠错误,单一采用常规DInSAR及其衍生技术都无法获得地表沉陷主值。本文提出一种新的解决方案,即联合利用DInSAR与偏移量追踪技术（Offset-tracking）各自的技术优势,实现开采区大变形的准确提取,并基于GAUSS函数模型拟合恢复沉陷区剖面形态。基于2012年2月13日和2012年11月27日两景高分辨率SAR数据（RADARSAT-2,5 m精细波束模式（MF5））为数据源,以神东矿区布尔台矿、寸草塔一矿、二矿为研究区,采用常规DInSAR技术获得亚厘米级沉陷区边界,边界沉陷值处于-0.01~ -0.02 m;利用偏移量追踪方法获取米级地表沉陷中心主值,中心沉陷值集中在-1.0~ -4.0 m。将2种方法监测到沉陷信息分段融合,最后采用GAUSS函数模型重构矿区开采沉陷下沉特征曲线。结果表明,偏移量追踪方法可弥补DInSAR技术监测大量级形变信息的不足,联合技术可完整获取高强度采区的大形变沉陷。

关键词: 布尔台矿, 高强度采区, 大形变沉陷, DInSAR, 偏移量追踪, GAUSS拟合, 沉陷特征, Radarsat

Abstract:

High-intensity underground mining leads to huge surface deformation, and excessive deformation phase gradients could lead to interference unwrapping errors. Currently, the characteristics of surface subsidence cannot be obtained well by conventional DInSAR and its derivative technologies. In this paper, we propose a new method, which combines DInSAR and Offset-tracking technology to extract large-scale deformation accurately, and further restore settlement field shape using the GAUSS function model. We take Bu'ertai Mine, and Cuncaota No.1 and No.2 Mine in Shendong Mining Area as research areas and use the high-resolution RADARSAT-2 data with 5 m fine beam model (MF5) on February 13, 2012 and November 27, 2012 to obtain the mine subsidence boundaries at sub-centimeter level using DInSAR technology and the mine subsidence center at meter level using Offset-tracking method. The boundary subsidence value is -0.01~ -0.02 m and the central subsidence value is -1.0~ -4.0 m. The whole subsidence field is then retrieved by integrating above two results. Finally, the GAUSS function model is used to fit the mining subsidence boundary and central, and to reconstruct the characteristic curve of mining subsidence. Our results demonstrate that the Offset-tracking method could compensate the deficiency of DInSAR in large deformation extraction, and the combination of these two techniques could effectively and accurately extract large-scale subsidence field in mining areas.

Key words: Bu'ertai mine, high-intensity mining, large scale subsidence, DInSAR, Offset-tracking, GAUSS_fitting, subsidence characteristics, Radarsat

徐小波, 马超, 单新建, 连达军, 屈春燕, 白俊武. 联合DInSAR与Offset-tracking技术监测高强度采区开采沉陷的方法[J]. 地球信息科学学报, 2020, 22(12): 2425-2435.DOI:10.12082/dqxxkx.2020.190741

XU Xiaobo, MA Chao, SHAN Xinjian, LIAN Dajun, QU Chunyan, BAI Junwu. Monitoring Ground Subsidence in High-intensity Mining Area by Integrating DInSAR and Offset-tracking Technology[J]. Journal of Geo-information Science, 2020, 22(12): 2425-2435.DOI:10.12082/dqxxkx.2020.190741

图/表 11

图1

图2

图3

表1

图4

图5

图6

图7

图8

图9

图10

参考文献 33

[1]	郭文兵, 王云广. 基于绿色开采的高强度开采定义及其指标体系研究[J]. 采矿与安全工程学报, 2017,34(4):616-623.
	[ Guo W B, Wang Y G. The definition of high-intensity mining based on green coal mining and its index system[J]. Journal of Mining & Safety Engineering, 2017,34(4):616-623. ]
[2]	郭文兵, 白二虎, 杨达明. 煤矿厚煤层高强度开采技术特征及指标研究[J]. 煤炭学报, 2018,43(8):2117-2125.
	[ Guo W B, Bai E H, Yang D M. Study on the technical characteristics and index of thick coal seam high-intensity mining in coalmine[J]. Journal of China Coal Society, 2018,43(8):2117-2125. ]
[3]	马雯思, 马超, 刘玮. 陕西彬长矿区NDVI3g(1982-2013)变化趋势及气候响应[J]. 煤炭学报, 2019,44(4):1197-1206.
	[ Ma W S, Ma C, Liu W W. Variation and climate response of NDVI3g(1982-2013) in Binchang mining area of Shaanxi Province[J]. Journal of China Coal Society, 2019,44(4):1197-1206. ]
[4]	马超, 徐小波, 刘春国, 等. 高分辨率星载SAR矿区灾害监测的应用潜力[J]. 河南理工大学学报(自然科学版), 2011,30(6):684-689.
	[ Ma C, Xu X B, Liu C G, et al. Applications of high-resolution space-borne SAR in mining disaster monitoring[J]. Journal of Henan Polytechnic University(Natural Science), 2011,30(6):684-689. ]
[5]	Tomas R, Romero R, Mulas J, et al. Radar interferometry techniques for the study of ground subsidence phenomena: a review of practical issues through case in Spain[J]. Environment Earth Science, 2014,71:163-181.
[6]	Liu P, Li Q Q, Li Z, et al. Anatomy of subsidence in Tianjin from time series InSAR[J]. Remote Sensing, 2016,8(3):266-287.
[7]	屈春燕, 左荣虎, 单新建, 等. 尼泊尔Mw 7.8地震InSAR同震形变场及断层滑动分布[J]. 地球物理学报, 2017,60(1):151-162.
	[ Qu C Y, Zuo R H, Shan X J, et al. Coseismic deformation field of the Nepal Ms 8.1 earthquake from Sentinel-1A InSAR data and fault slip inversion[J]. Chinese Journal of Geophysics, 2017,60(1):151-162. ]
[8]	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.
	[ Zhu J J, Xing X M, Hu J, 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. ]
[9]	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, 2009,39(12):25-27.
	[ Deng K Z, Yao N, Lu Z, et al. Expermiental research on monitoring mining subsidence by D-InSAR technique[J]. Metal Mine, 2009,39(12):25-27. ]
[10]	吴立新, 高均海, 葛大庆, 等. 基于D-InSAR的煤矿区开采沉陷遥感监测技术分析[J]. 地理与地理信息科学, 2004,20(3):22-25.
	[ Wu L X, Gao J H, Ge D Q, et al. Technical analysis of the remote sensing monitoring for coal-mining subsidence based on D-InSAR[J]. Geography and Geo-Information Science, 2004,20(3):22-25. ]
[11]	黄继磊. 面向矿区大梯度形变监测的SAR影像Pixel-tracking关键问题研究[D]. 徐州:中国矿业大学, 2017.
	[ Huang J L. Study on key problems of pixel-tracking of SAR images for monitoring large gradient deformation in mining area[D]. Xuzhou: China University of Mining and Technology, 2017. ]
[12]	Fan H D, Gu W, Qin Y, et al. A model for extracting large deformation mining subsidence using DInSAR technique and probability integral method[J]. Transcation of Nonferrous Metals Society of China, 2014,24(4):1242-1247.
[13]	Luke B, Francesca C, David B, et al. The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK[J]. International Journal of Applied Earth Observation and Geoinformation, 2015,34:249-257. doi: 10.1016/j.jag.2014.08.018
[14]	刘志敏, 李永生, 张景发, 等. 基于SBAS_InSAR的长治矿区地表形变监测[J]. 国土资源遥感, 2014,26(3):37-42. doi: 10.6046/gtzyyg.2014.03.06
	[ Liu Z M, Li Y S, Zhang J F, et al. An analysis of surface deformation in the Changzhi mining area using small baseline InSAR[J]. Remote Sensing for Land & Resources, 2014,26(3):37-42. ]
[15]	李国华, 薛继群. 基于短基线集技术的矿区开采沉陷监测研究[J]. 测绘与空间地理信息, 2013,36(3):191-196.
	[ Li G H, Xue J Q. Monitoring the surface subsidence of mining areas based on SBAS method[J]. Geomatics & Spatial information technology, 2013,36(3):191-196. ]
[16]	尹洪杰, 朱建军, 李志伟, 等. 基于SBAS的矿区形变监测研究[J]. 测绘学报, 2011,40(1):52-58.
	[ Yin H J, Zhu J J, Li Z W, et al. Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2011,40(1):52-58. ]
[17]	葛大庆, 王艳, 郭小方, 等. 利用短基线差分干涉纹图集监测地表形变场[J]. 大地测量与地球动力学, 2008,28(2):61-66.
	[ Ge D Q, Wang Y, Guo X F, et al. Surface deformation field monitoring by use of small-baseline differential interferograms stack[J]. Journal of Geodesy and Geodynamics, 2008,28(2):61-66. ]
[18]	Sergey S, Nicolas D, Benoit S. Ground deformation associated with post-mining activity at the French-German border revealed by novel InSAR time series method[J]. International Journal of Applied Earth Observation and Geoinformation, 2013,23:142-154. doi: 10.1016/j.jag.2012.12.008
[19]	刘国祥, 陈强, 罗小军. 永久散射体雷达干涉理论与应用[M]. 北京: 科学出版社, 2012.
	[ Liu G X, Chen Q, Luo X J. Theory and methodology of permanent scatter SAR interferometry[M]. Beijing: Beijing: Science Press, 2012. ]
[20]	范洪冬, 邓喀中, 薛继群, 等. 利用时序SAR影像集监测开采沉陷的试验研究[J]. 煤矿安全, 2011,42(2):15-18.
	[ Fan H D, Deng K Z, Xue J Q, et al. An experimental research on using time series SAR images to monitor mining subsidence[J]. Safety in Coal Mines, 2011,42(2):15-18. ]
[21]	Ma C, Cheng X Q, Yang Y L, et al. Investigation on mining subsidence based on multitemporal InSAR and time-series analysis of the small baseline subset:Case study of working faces 22201-1/2 in Bu'ertai Mine, Shendong Coalfield, China[J]. Remote Sensing, 2016,11(8):951-976. doi: 10.3390/rs11080951
[22]	Zhao C Y, Liu C J, Zhang Q, et al. Deformation of Linfen-Yuncheng Basin (China) and its mechanisms revealed by π-rate InSAR Technique[J]. Remote Sensing of Environment, 2018,218:221-230. doi: 10.1016/j.rse.2018.09.021
[23]	Chen B Q, Deng K Z, Fan H D, et al. Large-scale deformation monitoring in mining area by DInSAR and 3D laser scanning technology integration[J]. International Journal of Mining Science and Technology, 2013,23:555-561. doi: 10.1016/j.ijmst.2013.07.014
[24]	成晓倩, 马超, 康建荣, 等. 联合DInSAR和PIM技术的沉陷特征模拟和时序分析[J]. 中国矿业大学学报, 2018,47(5):1141-1148.
	[ Cheng X Q, Ma C, Kang J R, et al. Simulation and time series analysis of mining subsidence by integrating DInSAR and PIM technology[J]. Journal of China University of Mining & Technology, 2018,47(5):1141-1148. ]
[25]	徐小波, 屈春燕, 单新建, 等. CR-InSAR与PS-InSAR联合解算方法及在西秦岭断裂中段缓慢变形研究中的应用[J]. 地球物理学报, 2016,59(8):2796-2805.
	[ Xu X B, Qu C Y, Shan X J, et al. Mapping slow deformation of the middle segment of the West Qinling fault using the combined algorithm of CR-InSAR and PS-InSAR[J]. Chinese Journal of Geophysics, 2016,59(8):2796-2805. ]
[26]	Drury M. Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation[J]. Remote Sensing of Environment, 2011,115:130-142. doi: 10.1016/j.rse.2010.08.012
[27]	陈俊杰, 南华, 闫伟涛, 等. 浅埋深高强度开采地表动态移动变形特征[J]. 煤炭科学技术, 2016,44(3):158-162.
	[ Chen J J, Nan H, Yan W T, et al. Features of surface dynamic movement and deformation caused by high intensity mining with shallow depth[J]. Coal Science and Technology, 2016,44(3):158-162. ]
[28]	伊茂森. 神东矿区浅埋煤层关键层理论及其应用研究[D]. 徐州:中国矿业大学, 2008.
	[ Yi M S. Study and application of key strata theory in shallow seam of shengdong mining area[D]. Xu Zhou: China University of Mining and Technology, 2008.
[29]	周秀隆, 吴嘉林, 辛德林. 世界第一矿——布尔台煤矿设计综述[J]. 煤炭工程, 2011(3):4-6.
	[ Zhou X L, Wu J L, Xin D L. Integrated innovation to design world No.one coal mine-Buertai mine[J]. Coal Engineering, 2011(3):4-6. ]
[30]	马超, 孟秀军, 潘进波, 等. D_InSAR时序开采沉陷观测的干涉策略选优[J]. 河南理工大学学报(自然科学版), 2012,31(3):311-316.
	[ Ma C, Meng X J, Pan J B, et al. Optimizing D-InSAR processing strategies for time series mining subsidence observation data[J]. Journal of Henan Polytechnic University (Natural Science), 2012,31(3):311-316. ]
[31]	何国清. 矿山开采沉陷学[M]. 徐州: 中国矿业大学出版社, 1999.
	[ He G Q. Mining subsidence science[M]. Xuzhou: China University of Mining and Technology Press, 1999. ]
[32]	王军, 赵欢欢, 杨小敏, 等. 鄂尔多斯神东矿区开采地表沉陷预测模型研究[J]. 内蒙古农业大学学报(自然科学版), 2015,36(4):61-65.
	[ Wang J, Zhao H H, Yang X M, et al. Research about predictional model of surface subsidence in Shendong mining area of Erdos[J]. Journal of Inner Mongolia Agricultural University (Natural Science Edition), 2015,36(4):61-65. ]
[33]	Giles A B, Massom R A, Warner R C. A method for sub-pixel scale feature-tracking using Radarsat images applied to the Mertz Glacier Tongue, East Antarctica[J]. Remote Sensing of Environment, 2009,113:1691-1699. doi: 10.1016/j.rse.2009.03.015

编号	获取时间	像元大小/m （距离×方位）	时间基线 /d	垂直基线 /m
1	2012-02-13	2.7×2.9	289	27.98
2	2012-11-27	2.7×2.9	289	27.98

联合DInSAR与Offset-tracking技术监测高强度采区开采沉陷的方法

Monitoring Ground Subsidence in High-intensity Mining Area by Integrating DInSAR and Offset-tracking Technology

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 33

相关文章 1

Metrics

本文评价

推荐阅读 0