联合DInSAR和PIM技术的沉陷特征模拟和时序分析
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摘要
高强度煤炭开采(大采高、薄基岩、快速采煤)可形成巨大的地表形变场,过大的形变相位梯度导致干涉测量失败,单独采用合成孔径雷达差分干涉测量(DInSAR)及其衍生技术都无法获得开采沉陷主值.为此,提出了联合多时相DInSAR时序分析及概率积分法(PIM),整合理论计算与卫星观测结果,实现开采沉陷特征的动态模拟和模型重构.以2012年1月—2013年6月共18期高分辨率雷达数据(RADARSAT-2,5m精细波束模式(MF5))为数据源,利用连续重访周期的DInSAR技术获得17期时间序列开采沉陷相位变化图,监测得到神东矿区布尔台矿22201-1/2工作面地表形变从产生、发展到衰退的演化规律;联合DInSAR获得的沉陷盆地边缘信息与PIM技术对矿区大变形下沉信息进行预计,两种数据整合形成混合数据集;采用Gauss函数对混合数据集进行拟合,重构矿区时序开采下沉特征曲线.研究表明:PIM技术可以弥补DInSAR技术在大形变提取上的不足,利用混合数据集建立的Gauss模型,对于有限开采(非充分采动)或充分采动的主断面下沉值具有极高的拟合度,其拟合度R2均大于0.976.
A large scale deformation field can be formed by the high intensity of coal mining(large mining height,thin bedrock and fast mining).Excessive deformation phase gradient causes interference measurement failure.It is difficult to obtain the dominant part of mining subsidence by only using Differential Interferometric Synthetic Aperture Radar(DInSAR)and its derivative technology.Therefore,the paper proposes a novel solution,which combines,multi-temporal DInSAR time series analysis and Probability Integral Method(PIM)to realize the dynamic simulation of the mining subsidence characteristics and model reconstruction by integrating the theoretical calculation and observation satellite.Eighteen set of high resolution SAR images(RADARSAT-2,5 m Multi-Fine resolution beam(MF5))acquired from January2012 to June 2013 were adopted for analysis.Firstly,continuous repeat cycle DInSAR technology to gain the seventeen time sequence mining subsidence phase variation,so as to monitor the surface deformation evolution law through generation,development and recession for high intensity mining workface 22201-1/2 of Bu'ertai mine in Shendong.Then the high reliability of subsidence basin edge information was combined with PIM technique to predict the large deformation and acquire the hybrid data set.Finally,Gauss function was adopted to fit the hybrid data set so that the reconstruction of the subsidence characteristic curve can be realized.The results show that the mining subsidence prediction of probability integral method can make up the deficiency of DInSAR technology in the extraction of large deformation.The Gauss model established by the hybrid data set has a very high degree of fitting for the dominant deformation values of finite mining(not fully mining)or fully mining.The values of R2 are all larger than 0.976.
A large scale deformation field can be formed by the high intensity of coal mining(large mining height,thin bedrock and fast mining).Excessive deformation phase gradient causes interference measurement failure.It is difficult to obtain the dominant part of mining subsidence by only using Differential Interferometric Synthetic Aperture Radar(DInSAR)and its derivative technology.Therefore,the paper proposes a novel solution,which combines,multi-temporal DInSAR time series analysis and Probability Integral Method(PIM)to realize the dynamic simulation of the mining subsidence characteristics and model reconstruction by integrating the theoretical calculation and observation satellite.Eighteen set of high resolution SAR images(RADARSAT-2,5 m Multi-Fine resolution beam(MF5))acquired from January2012 to June 2013 were adopted for analysis.Firstly,continuous repeat cycle DInSAR technology to gain the seventeen time sequence mining subsidence phase variation,so as to monitor the surface deformation evolution law through generation,development and recession for high intensity mining workface 22201-1/2 of Bu'ertai mine in Shendong.Then the high reliability of subsidence basin edge information was combined with PIM technique to predict the large deformation and acquire the hybrid data set.Finally,Gauss function was adopted to fit the hybrid data set so that the reconstruction of the subsidence characteristic curve can be realized.The results show that the mining subsidence prediction of probability integral method can make up the deficiency of DInSAR technology in the extraction of large deformation.The Gauss model established by the hybrid data set has a very high degree of fitting for the dominant deformation values of finite mining(not fully mining)or fully mining.The values of R2 are all larger than 0.976.
引文
[1]谭志祥,王宗胜,李运江,等.高强度综放开采地表沉陷规律实测研究[J].采矿与安全工程学报,2008,25(1):59-62.TAN Zhixiang,WANG Zongsheng,LI Yunjiang,et al.Field research on ground subsidence rules of intensive fully-mechanized mining by sublevel caving[J].Journal of Mining&Safety Engineering,2008,25(1):59-62.
[2]DANIEL R,CARLO C,CLAUDIE C.Use of SAR interferometry for detecting and assessing ground subsidence[J].Comptes Rendus Geoscience,2007,339:289-302.
[3]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.
[4]BERARDINO P,FORNARO G,LNANRI 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.
[5]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 Hongjie,ZHU Jianjun,LI Zhiwei,et al.Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):52-58.
[6]FERRETTI A,PRATI C,ROCCA F.Permanent scatters in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[7]CHEN B Q,DENG K Z,FAN H D,et al.Large-scale deformation monitoring in mining area by D-InSAR and 3Dlaser scanning technology integration[J].International Journal of Mining Science and Technology,2013,23(4):555-561.
[8]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.
[9]YAN Y G,DAI H Y,GE L L,et al.Numerical simulation of dynamic surface deformation based on DInSAR monitoring[J].Transcation of Nonferrous Metals Society of China,2014,24(4):1248-1254.
[10]LIU Z G,BIAN Z F,LEI S G,et al.Evaluation of PS-DInSAR technology for subsidence monitoring caused by repeated mining in mountainous area[J].Transcation of Nonferrous Metals Society of China,2014,24(10):3309-3315.
[11]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 Xiulong,WU Jialin,XIN Delin.Integrated innovation to design World No.One coal mine:Buertai Mine[J].Coal Engineering,2011(3):4-6.
[12]HU J,LI Z W,DING X L,et al.Resolving three-dimensional surface displacements from InSAR measurement:A review[J].Earth-Science Reviews,2014,133:1-17.
[13]MA Chao,CHENG Xiaoqian,YANG Yali,et al.Investigation on mining subsidence based on multitemporal InSAR and time-series analysis of the small baseline subset:Case study of working faces 22201-1/2in Bu’ertai Mine,Shendong Coalfield,China[J].Remote Sensing,2016,11(8):951-976.
[14]康建荣,王金庄,温泽民.任意形多工作面多线段开采沉陷预计系统(MSPS)[J].矿山测量,2000(1):24-27.KANG Jianrong,WANG Jinzhuang,WEN Zemin.Mining subsidence prediction system(MSPS)of multi working face and multi lines in arbitrary form[J].Mine Surveying,2000(1):24-27.
[15]WASOWSKI J,BOVENGA F.Investigating landslides and unstable slopes with satellite multi temporal interferometry:Current issues and future perspectives[J].Engineering Geology,2014,174(8):103-138.
[16]陈俊杰,朱刘娟,闫伟涛,等.高强度开采地表裂缝分布特征及形成机理分析[J].中国安全生产科学技术,2015,11(8):96-100.CHEN Junjie,ZHU Liujuan,YAN Weitao,et al.Analysis on distribution characteristic and formation mechanism of surface fissures caused by high intensity mining[J].Journal of Safety Science and Technology,2015,11(8):96-100.
[17]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 Junjie,NAN Hua,YAN Weitao,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.
[18]何国清,杨伦,凌赓娣,等.矿山开采沉陷学[M].徐州:中国矿业大学出版社,1999:31-37.HE Guoqing,YANG Lun,LING Gengdi,et al.Mining subsidence[M].Xuzhou:China University of Mining and Technology Press,1999:31-37.
[2]DANIEL R,CARLO C,CLAUDIE C.Use of SAR interferometry for detecting and assessing ground subsidence[J].Comptes Rendus Geoscience,2007,339:289-302.
[3]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.
[4]BERARDINO P,FORNARO G,LNANRI 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.
[5]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 Hongjie,ZHU Jianjun,LI Zhiwei,et al.Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):52-58.
[6]FERRETTI A,PRATI C,ROCCA F.Permanent scatters in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[7]CHEN B Q,DENG K Z,FAN H D,et al.Large-scale deformation monitoring in mining area by D-InSAR and 3Dlaser scanning technology integration[J].International Journal of Mining Science and Technology,2013,23(4):555-561.
[8]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.
[9]YAN Y G,DAI H Y,GE L L,et al.Numerical simulation of dynamic surface deformation based on DInSAR monitoring[J].Transcation of Nonferrous Metals Society of China,2014,24(4):1248-1254.
[10]LIU Z G,BIAN Z F,LEI S G,et al.Evaluation of PS-DInSAR technology for subsidence monitoring caused by repeated mining in mountainous area[J].Transcation of Nonferrous Metals Society of China,2014,24(10):3309-3315.
[11]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 Xiulong,WU Jialin,XIN Delin.Integrated innovation to design World No.One coal mine:Buertai Mine[J].Coal Engineering,2011(3):4-6.
[12]HU J,LI Z W,DING X L,et al.Resolving three-dimensional surface displacements from InSAR measurement:A review[J].Earth-Science Reviews,2014,133:1-17.
[13]MA Chao,CHENG Xiaoqian,YANG Yali,et al.Investigation on mining subsidence based on multitemporal InSAR and time-series analysis of the small baseline subset:Case study of working faces 22201-1/2in Bu’ertai Mine,Shendong Coalfield,China[J].Remote Sensing,2016,11(8):951-976.
[14]康建荣,王金庄,温泽民.任意形多工作面多线段开采沉陷预计系统(MSPS)[J].矿山测量,2000(1):24-27.KANG Jianrong,WANG Jinzhuang,WEN Zemin.Mining subsidence prediction system(MSPS)of multi working face and multi lines in arbitrary form[J].Mine Surveying,2000(1):24-27.
[15]WASOWSKI J,BOVENGA F.Investigating landslides and unstable slopes with satellite multi temporal interferometry:Current issues and future perspectives[J].Engineering Geology,2014,174(8):103-138.
[16]陈俊杰,朱刘娟,闫伟涛,等.高强度开采地表裂缝分布特征及形成机理分析[J].中国安全生产科学技术,2015,11(8):96-100.CHEN Junjie,ZHU Liujuan,YAN Weitao,et al.Analysis on distribution characteristic and formation mechanism of surface fissures caused by high intensity mining[J].Journal of Safety Science and Technology,2015,11(8):96-100.
[17]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 Junjie,NAN Hua,YAN Weitao,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.
[18]何国清,杨伦,凌赓娣,等.矿山开采沉陷学[M].徐州:中国矿业大学出版社,1999:31-37.HE Guoqing,YANG Lun,LING Gengdi,et al.Mining subsidence[M].Xuzhou:China University of Mining and Technology Press,1999:31-37.