韩城煤矿开采区域InSAR技术大范围识别与监测
Wide Range Identification and Monitoring Hancheng Coal Mine by InSAR Technology
DOI: 10.12677/AG.2018.88144, PDF,  被引量    科研立项经费支持
作者: 何 杨, 乔 波, 张 健, 颜文华, 王卫平：陕西省地震局，陕西 西安
关键词: Stacking-InSAR技术；煤矿开采；Stacking-InSAR Technique； Coal Mining
摘要: 通过选取2007年1月至2011年1月期间覆盖韩城煤矿开采区域的20景L波段ALOS数据，采用Stacking-InSAR技术进行了矿区地面沉降大范围识别与监测，成功获取了研究区域地表年形变速率。结果表明韩城煤矿开采区域最大年形变速率达到了45 cm/y，形变区域空间分布主要集中在三个区域，与韩城煤矿分布非常一致。本文通过获取三个时间段(20070711~20080412，20080713~20100116与20090831~20110119)韩城煤矿区域形变速率图，分析其随时间演变过程。通过定量研究矿区地表形变时空速率演变过程，对指导矿区安全生产有重要意义。
Abstract: The Stacking-InSAR technique is used to identify the surface deformation of a large coal area in Hancheng by L-band ALOS data, from July 2007 to January 2011. This article successfully obtained the rate of the surface deformation. The results show that the rate deformation of coal area reached the maximum 45 cm/y, and the spatial distribution of deformation area is mainly concentrated in three areas, which is very consistent with the distribution of coal mine. This article analyzed the evolution of deformation rate in time, during three periods (20070711-20080412, 20080713-20100116 and 20090831-20110119). Studying the time and space evolution of surface deformation rate has important significance to guide the mine safety production.
文章引用：何杨, 乔波, 张健, 颜文华, 王卫平. 韩城煤矿开采区域InSAR技术大范围识别与监测[J]. 地球科学前沿, 2018, 8(8): 1323-1329. https://doi.org/10.12677/AG.2018.88144

参考文献

[1] 梁倩文. 韩城矿区地质构造的几何学解析[D]: [硕士学位论文]. 西安: 西安科技大学, 2017.
[2] 孙廷臣. 韩城矿区地质构造的运动学与动力学解析[D]: [硕士学位论文]. 西安: 西安科技大学, 2017.
[3] 王纪平. 韩城北区构造发育规律及对煤矿安全因素影响的研究[D]: [硕士学位论文]. 西安: 西安科技大学, 2011.
[4] Bamler, R. and Hautl, P. (1998) Synthetic Aperture Radar Interferometry. Inverse Problems, 14, 1-54. [Google Scholar] [CrossRef] 
[5] 朱煜峰. 矿区地面沉降的InSAR监测及参数反演[D]: [博士学位论文]. 长沙: 中南大学, 2013.
[6] Ge, L.L., Rizos, C., Han, S. and Zebker, H. (2001) Mining Subsidence Monitoring Using the Combined In SAR and GPS Approach. Proceedings of the 10th International Symposium on Deformation Measurements, International Federation of Surveyors (FIG), California, 1-10.
[7] Ge, L.L., Chang, H.C. and Rizos, C. (2007) Mine Subsidence Monitoring Using Multi-Source Satellite SAR Images. Photogrammetric Engineering and Remote Sensing, 73, 259-266. [Google Scholar] [CrossRef] 
[8] Zhao, C., Lu, Z., Zhang, Q., Yang, C. and Zhu, W. (2014) Mining Collapse Monitoring with SAR Imagery Data: A Case Study of Datong Mine, China. Journal of Applied Remote Sensing, 8, 083574. [Google Scholar] [CrossRef] 
[9] 何敏, 何秀凤. 利用时间序列干涉图叠加法监测江苏盐城地区地面沉降[J]. 武汉大学学报(信息科学版), 2011, 36(12): 1461-1465.
[10] 张洋, 汪云甲, 闫世勇. 基于Stacking InSAR技术的沛北矿区沉降监测[J]. 煤炭技术, 2016, 35(7): 102-105.