Coal Geology & Exploration
Abstract
Yuxian County in Hebei Province is one of the largest mining areas in North China. This area has been suffering serious ground deformation due to underground mining activity, which not only threatens mining safety, but also seriously damages local ecological environment. To obtain the surface deformation map of the overall mining area and to analysis the spatiotemporal evolution features, 61 C-band descending track and ascending track Sentinel-1A/B images from July 2017 to September 2018 were processed based on Interferometric Synthetic Aperture Rader(InSAR) technique. In addition, the two-dimensional deformation time series of Xixizhuang mine were obtained by using the multi-dimensional deformation time series estimation method with fusion multi-source SAR data. The results show that: Except Nanliuzhuang mine, the other three mines all have different degrees of ground subsidence disaster during the monitoring period; the area with annual deformation rate higher than -10 cm/a reached 2.16 km2; the deformation results obtained from different track data are different from each other; the main deformation in Xixizhuang mine is vertical deformation with obvious east-west horizontal deformation. The results provide beneficial data reference for ground subsidence monitoring and coal safety mining in Yuxian mining area.
Keywords
Interferometric Synthetic Aperture Radar (InSAR), Small Baseline Subsets (SBAS), subsidence monitoring, two-dimensional deformation, Yuxian mining area
DOI
10.3969/j.issn.10011986.2020.01.022
Recommended Citation
DU Jiantao, YAN Li, ZHAO Chaoying,
et al.
(2020)
"Multidimensional deformation monitoring using InSAR technology in Yuxian mining area,"
Coal Geology & Exploration: Vol. 48:
Iss.
1, Article 23.
DOI: 10.3969/j.issn.10011986.2020.01.022
Available at:
https://cge.researchcommons.org/journal/vol48/iss1/23
Reference
[1] 王恭先,赵甫. 煤矿地区的滑坡灾害及其防治技术[J]. 煤田地质与勘探,2018,46(2):1-7. WANG Gongxian,ZHAO Fu. Landslide disaster and its prevention and control technology in coal mining area[J]. Coal Geology & Exploration,2018,46(2):1-7.
[2] 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 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.
[3] ZHAO Chaoying,LU Zhong,ZHANG Qin,et al. Mining collapse monitoring with SAR imagery data:A case study of Datong mine,China[J]. Journal of Applied Remote Sensing,2014,8(1):083574.
[4] YANG Chengsheng,ZHANG Qin,ZHAO Chaoying,et al. Monitoring mine collapse by D-InSAR[J]. Mining Science and Technology(China),2010,20(5):696-700.
[5] ZHENG Meinan,DENG Kazhong,DU Sen,et al. Joint probability integral method and TCPInSAR for monitoring mining time-series deformation[J]. Journal of the Indian Society of Remote Sensing,2019,47(1):63-75.
[6] DU Sen,WANG Yunjia,ZHENG Meinan,et al. Goaf locating based on InSAR and probability integration method[J]. Remote Sensing,2019,11(7):812-829.
[7] YANG Zefa,LI Zhiwei,ZHU Jianjun,et al. An alternative method for estimating 3-D large displacements of mining areas from a single SAR amplitude pair using offset tracking[J]. IEEE Transactions on Geoscience and Remote Sensing,2018,56(7):3645-3656.
[8] MA Chao,CHENG Xiaoqian,YANG Yali,et al. Investigation on mining subsidence based on multi-temporal 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,2016,8(11):951-975.
[9] 贺卫中,向茂西,刘海南,等. 榆神府矿区地面塌陷特征及环境问题[J]. 煤田地质与勘探,2016,44(5):131-135. HE Weizhong,XIANG Maoxi,LIU Hainan,et al. Ground subsidence and its environment problems in Yushenfu mining area[J]. Coal Geology & Exploration,2016,44(5):131-135.
[10] 宋颖霞. 蔚县煤矿区地下水模拟与矿井水资源化评价研究[D]. 北京:中国矿业大学(北京),2012. SONG Yingxia. Study on groundwater simulation and mine water resources evaluation in Yuxian coal mine[D]. Beijing:China University of Mining & Technology(Beijing),2012.
[11] 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.
[12] SAMSONOV S,D'OREYE N. Multidimensional time series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province[J]. Geophysical Journal International,2012,191(3):1095-1108.
[13] SAMSONOV S V,D'OREYE N. Multidimensional small baseline subset(MSBAS) for two-dimensional deformation analysis:Case study Mexico City[J]. Canadian Journal of Remote Sensing,2017,43(4):318-329.
[14] 吴世昌,杨彦玲. 蔚县矿区煤炭资源优化配置及井田边界调整[J]. 煤炭工程,2015,47(1):9-10. WU Shichang,YANG Yanling. Optimization of coal resource allocation and adjustment of mine field boundary for Yuxian mining area[J]. Coal Engineering,2015,47(1):9-10.
[15] WANG Xue,TAN Kun,XU Kailei,et al. Quantitative evaluation of the eco-environment in a coalfield based on multi-temporal remote sensing imagery:A case study of Yuxian,China[J]. International Journal of Environmental Research and Public Health,2019,16(3):511-528.
[16] 张文志,邹友峰,任筱芳. Logistic模型在开采沉陷单点预测中的研究[J]. 采矿与安全工程学报,2009,26(4):486-489. ZHANG Wenzhi,ZOU Youfeng,REN Xiaofang. Research on Logistic model in forecasting subsidence single-point during mining[J]. Journal of Mining & Safety Engineering,2009,26(4):486-489.
[17] 杨泽发,朱建军,李志伟,等. 联合InSAR和水准数据的矿区动态沉降规律分析[J]. 中南大学学报(自然科学版),2015,46(10):3743-3751. YANG Zefa,ZHU Jianjun,LI Zhiwei,et al. Analysis of law of kinematic mining subsidence by integrating InSAR and leveling measurements[J]. Journal of Central South University(Science and Technology),2015,46(10):3743-3751.
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