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基于单视线向D-InSAR技术的倾斜煤层开采地表沉陷监测方法
引用本文:王磊,蒋创,张鲜妮,李楠,查剑锋.基于单视线向D-InSAR技术的倾斜煤层开采地表沉陷监测方法[J].武汉大学学报(信息科学版),2019,44(6):814-820.
作者姓名:王磊  蒋创  张鲜妮  李楠  查剑锋
作者单位:1.安徽理工大学测绘学院, 安徽 淮南, 232001
基金项目:国家自然科学基金41602357国家自然科学基金41474026安徽省博士后基金2014B019安徽高校自然科学研究项目KJ2016A190
摘    要:基于合成孔径雷达差分干涉测量(differential interferometric synthetic aperture radar,D-InSAR)技术的开采沉陷监测理论和方法是矿山变形监测领域研究的热点,当前已有学者融合单视线向D-InSAR技术和开采沉陷规律成功构建了开采沉陷三维监测模型,然而由于该模型仅融合了水平煤层开采地表沉陷规律,其并不适用于倾斜煤层开采地表沉陷监测。针对上述问题,根据D-InSAR监测的视线向变形与三维变形的关系,融合倾斜煤层开采地表沉陷规律,提出了基于单视线向D-InSAR技术的倾斜煤层开采地表沉陷监测方法。模拟实验表明,所提出的方法下沉监测相对误差绝对值小于9.53%,平均为1.31%,南北方向和东西方向水平移动监测相对误差绝对值小于9.78%,平均为3.71%,满足开采沉陷监测精度要求。并利用该方法成功监测了中国山东省兖州矿区南屯煤矿9310工作面在2012-01-27—2012-02-07期间开采引起的地表移动与变形。

关 键 词:D-InSAR    倾斜煤层    开采沉陷    概率积分法    移动与变形监测
收稿时间:2019-01-04

Monitoring Method of Surface Subsidence Induced by Inclined Coal Seam Mining Based on Single Line of Sight D-InSAR
Affiliation:1.School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan 232001, China2.Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining & Technology, Xuzhou, 221116, China
Abstract:The theory and method of mining subsidence monitoring based on D-InSAR(differential interferometric synthetic aperture radar) technology is a hot topic in the current field of mine deformation monitoring. At present, three-dimensional monitoring model of mining subsidence has been constructed successfully by some scholars through integrating single line of sight to D-InSAR technology and mining subsidence law. However, the model is only suitable for the researches on mining subsidence of horizontal coal seam rather than inclined coal seam. In view of the above defects, according to the relationship between deformation of line of sight monitored by D-InSAR and three-dimensional deformation, considering the surface subsidence law of inclined coal seam mining, the surface subsidence monitoring method for inclined coal seam based on single line of sight to D-InSAR technology is proposed. The simulation experiment shows that the absolute relative error of the subsidence monitoring method is less than 9.53%, with an average of 1.31%. The absolute relative error of the horizontal movement monitoring along North-South (SN) and East-West (EW) is less than 9.78%, with an ave-rage of 3.71%, which meets the mining subsidence monitoring accuracy requirements. The surface movement and deformation caused by the mining of the 9310 working face of Nantun coal mine in yanzhou mining area, Shandong province China during 2012-01-27—2012-02-07 are successfully monitored by this method in this paper
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