利用差分干涉测量技术监测煤矿区开采沉陷变形的初步研究
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摘要
近年来,差分干涉测量技术(D-InSAR)越来越多地被应用于地表沉陷变形监测方面,如地震、地下水过度开采等造成的地表形变,地下煤炭资源开采所造成的地表形变具有影响空间范围小、沉降速度缓慢的特点,而差分干涉测量的精度又易受大气、时间和空间基线等因素的影响,因此,利用D-InSAR对煤炭资源开采沉陷所造成的形变进行监测,具有更大的难度。为了验证D-InSAR技术对于该类沉陷的监测能力,选择了地表观测记录资料较为翔实、沉陷灾害比较严重的山西潞安矿区作为研究区域。结果表明,利用D-InSAR技术可以比较容易地确定地表沉陷的位置和分布范围,具备监测采煤沉陷地表变形的能力。下一步的研究,是希望建立基于D-InSAR技术的稳健、经济、高效的煤矿区开采沉陷变形监测系统。
Recently D-InSAR technique has been widely adopted to monitor land subsidence deformation caused by earthquake、withdrawal of water and minerals.But monitoring subsidence caused by underground coal mining is more difficult because of its small spatial extent and slow velocity.D-InSAR is liable to be contaminated by atmosphere delay,temporal decorrelation and baseline errors.Luan-Mine,Shanxi province has thousands of valuable leveling data,smooth topography and severe subsidence,it becomes a nice place to test and analyze D-InSAR technique.The result demonstrates that D-InSAR can detect subsidence within 2 months and point out its distribution and scope.The final interest of research is to establish a robust,cost efficient mine subsidence monitoring system by using D-InSAR technique.
Recently D-InSAR technique has been widely adopted to monitor land subsidence deformation caused by earthquake、withdrawal of water and minerals.But monitoring subsidence caused by underground coal mining is more difficult because of its small spatial extent and slow velocity.D-InSAR is liable to be contaminated by atmosphere delay,temporal decorrelation and baseline errors.Luan-Mine,Shanxi province has thousands of valuable leveling data,smooth topography and severe subsidence,it becomes a nice place to test and analyze D-InSAR technique.The result demonstrates that D-InSAR can detect subsidence within 2 months and point out its distribution and scope.The final interest of research is to establish a robust,cost efficient mine subsidence monitoring system by using D-InSAR technique.
引文
(1)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.
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(3)刘国祥.InSAR基本原理[J].四川测绘,2004,27(4):187-190.
(4)王超,张红,刘智.星载合成孔径雷达干涉测量[M].北京:科学出版社,2002.
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(2)马超,单新建.星载合成孔径雷达差分干涉测量技术在形变监测中的应用概述[J].中国地震,2004,20(4):410-418.
(3)刘国祥.InSAR基本原理[J].四川测绘,2004,27(4):187-190.
(4)王超,张红,刘智.星载合成孔径雷达干涉测量[M].北京:科学出版社,2002.
(5)Perski Z,Jura D.ER5 SAR interferometry for land subsid-ence detection in coal mining area[R].Corrigendum toEOQ 63,2001.25-29.
(6)Persik.Z.2000.ERS InSAR data for Geological InterlogicalInterpretation of Mining subsidence In Upper Silesian CoalBasin in Poland[J].University of Silersia.Faculty of EarthScience.Bedzinska 60,41-200 Sosnowiec,Poland.
(7)刘国祥.InSAR数据处理及关键算法[J],四川测绘,2005,28(1):45-47.
(8)Ghiglia,D.C.and M.D.Pritt,two-dimensional Phase Un-wrapping:Theory,Algorithms,and Software[J].NewYork:John Wiley&Sons,Inc,1998:1-200.
(9)张永志,王卫东,李萍.InSAR图像的最小范数相位解缠研究[J].地球科学与环境学报.2005,27(1):80-83.
(10)Patzek T.W.,D.B.Silin and E.J.Fielding,2001.Use ofsatellite radar images in surveillance and control of two giantoilfields in California,SPE Annual Technical Conference andExhibition:New Orleans,Louisinana.USA,Society of Pe-troleum Engineers.SPE 71610,1-16.
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