基于静态GNSS双基线的山区地表开采沉陷监测方法
|
摘要
对山区地表开采沉陷进行高精度监测是现阶段山区地表开采沉陷问题研究的热点和难点。对当前常用的开采沉陷监测方法的优缺点进行了分析,指出GNSS静态测量模式仍是当前山区地表开采沉陷监测的首选方法。但由于地表开采沉陷监测网型特殊,采用传统GNSS静态监测方法需要的控制点多,极大浪费人力、物力和财力。基于CORS测量原理,提出了静态GNSS双基线测量方法,讨论了该方法的实际操作技术流程和数据处理方法,并进一步分析了该方法的优越性。以某矿22618工作面地表控制点和部分监测点的其中4期监测数据为例,分析了采用静态GNSS双基线法监测山区地表开采沉陷的误差,结果显示,控制点和所选监测点解算的高程中误差最大为4.4 mm,通过对比分析控制点各期高程的高差互差,可知误差均未超过3 mm,进一步证实了该方法的有效性。在上述分析的基础上,针对该矿22618工作面采用所提方法进行了地表开采沉陷监测,获得了该地质采矿条件下的地表开采沉陷的部分角量参数。研究结果对于进一步丰富和完善山区地表开采沉陷监测理论体系具有一定的参考价值。
Accurately monitoring of surface mining subsidence in mountainous area is a hot topic and difficult point in the research of surface mining subsidence in mountainous area.In view of this problem,the advantages and disadvantages of current mining subsidence monitoring methods are analyzed,and it is points out that GNSS static measurement model is still the first choice for surface mining subsidence monitoring in mountainous area.But due to the special surface mining subsidence monitoring network type,the traditional GNSS static monitoring requires many control points and wastes human,material and financial resources.Based on the principle of CORS measurement,the method of static GNSS double baseline measurement is proposed,the practical technical flow and data processing method of the monitoring method are given,and the superiority of the method is analyzed.Taking the four phases of surface monitoring data from control points and partial monitoring points of the 22618 working face of a mine as an example,the measurement error for monitoring the surface mining subsidence in mountainous area by using the static GNSS double baseline method is analyzed,the results show that the maximum elevation medium error of the control point and the selected monitoring point is 4.4 mm,which proves the reliability of the method.By comparing and analyzing the height difference of the control points,the error does not exceed 3 mm,which further proves the effectiveness of the proposed monitoring method.Based on the above discussion results,the surface mining subsidence of22618 working face of the mine is monitored by using the proposed method in this paper,and some corner parameters of surface mining subsidence under the geological mining conditions are obtained.This study results have some certain reference value for thefurtherenrichingandcompletingthemonitoringtheoreticalsystemofsurfaceminingsubsidenceinmountainousareas.
Accurately monitoring of surface mining subsidence in mountainous area is a hot topic and difficult point in the research of surface mining subsidence in mountainous area.In view of this problem,the advantages and disadvantages of current mining subsidence monitoring methods are analyzed,and it is points out that GNSS static measurement model is still the first choice for surface mining subsidence monitoring in mountainous area.But due to the special surface mining subsidence monitoring network type,the traditional GNSS static monitoring requires many control points and wastes human,material and financial resources.Based on the principle of CORS measurement,the method of static GNSS double baseline measurement is proposed,the practical technical flow and data processing method of the monitoring method are given,and the superiority of the method is analyzed.Taking the four phases of surface monitoring data from control points and partial monitoring points of the 22618 working face of a mine as an example,the measurement error for monitoring the surface mining subsidence in mountainous area by using the static GNSS double baseline method is analyzed,the results show that the maximum elevation medium error of the control point and the selected monitoring point is 4.4 mm,which proves the reliability of the method.By comparing and analyzing the height difference of the control points,the error does not exceed 3 mm,which further proves the effectiveness of the proposed monitoring method.Based on the above discussion results,the surface mining subsidence of22618 working face of the mine is monitored by using the proposed method in this paper,and some corner parameters of surface mining subsidence under the geological mining conditions are obtained.This study results have some certain reference value for thefurtherenrichingandcompletingthemonitoringtheoreticalsystemofsurfaceminingsubsidenceinmountainousareas.
引文
[1]廉旭刚，胡海峰，郭博婷.山区开采地表动态移动变形规律[J].金属矿山，2016(9):151-156.Lian Xugang,Hu Haifeng,Guo Boting.Regularities of surface dynamic movement and deformation induced by mining in mountainous area[J].Metal Mine,2016(9):151-156.
[2]白光宇，张德强，张进德，等.山区开采沉陷地表移动变形规律[J].辽宁工程技术大学学报：自然科学版，2017,36(7):684-688.Bai Guangyu,Zhang Deqiang,Zhang Jinde,et al.Law of surface movement and deformation of mining subsidence in mountain area[J].Journal of Liaoning Technical University:Natural Science,2017,36(7):684-688.
[3]陈秋计，田柳新，张越.山区开采沉陷预计中地表特性参数提取方法研究[J].煤炭技术，2019,38(3):83-86.Chen Qiuji,Tian Liuxin,Zhang Yue.Extraction method of surface characteristic parameters for mining subsidence prediction in mountainous area[J].Coal Technology,2019,38(3):83-86.
[4]刘振国，卞正富，吕福祥，等.时序DInSAR在重复采动地表沉陷监测中的应用[J].采矿与安全工程学报，2013,20(3):390-395.Liu Zhenguo,Bian Zhengfu,Lyu Fuxiang,et al.Subsidence monitoring caused by repeated excavation with time-series DInSAR[J].Journal of Mining&Safety Engineering,2013,20(3):390-395.
[5]阎跃观.DInSAR监测地表沉陷数据处理理论与应用技术研究[D].北京：中国矿业大学（北京），2010.Yan Yueguan.Data Processing Theory and Applied Technology of Surface Subsidence Monitoring Based on DInSAR[D].Beijing:China University of Mining&Technology(Beijing),2010.
[6]范洪冬.InSAR若干关键算法及其在地表沉降监测中的应用研究[D].徐州：中国矿业大学，2010.Fan Hongdong.Study on Several Key Algorithms of InSAR Technique and Its Application in Land Subsidence Monitoring[D].Xuzhou:China University of Mining and Technology,2010.
[7]祝传广.融合多源SAR影像的形变监测研究[D].徐州：中国矿业大学，2015.Zhu Chuanguang.Study on the Deformation Monitoring Based on Integrating of Multi-source SAR Images[D].Xuzhou:China University of Mining and Technology,2015.
[8]高晓雄，李达，高明章.基于DInSAR技术的矿区地表三维形变监测[J].煤炭技术，2016,35(7):100-102.Gao Xiaoxiong,Li Da,Gao Mingzhang.Three-dimensional surface deformation detection of mining area based on DInSAR technology[J].Coal Technology,2016,35(7):100-102.
[9]何倩，范洪冬，邓咯中，等.基于时序DInSAR的矿区地表沉降监测[J].煤炭技术，2017,36(9):179-180.He Qian,Fan Hongdong,Deng Kazhong,et al.Surface subsidence monitoring of mining area based on time-series DInSAR[J].Coal Technology,2017,36(9):179-180.
[10]成晓倩，马超，康建荣，等.联合DInSAR和PIM技术的沉陷特征模拟和时序分析[J].中国矿业大学学报，2018,47(5):1141-1148.Cheng Xiaoqian,Ma Chao,Kang Jianrong,et al.Simulation and time series analysis of mining subsidence by integrating DInSARand PIM technology[J].Journal of China University of Mining and Technology,2018,47(5):1141-1148.
[11]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].Transactions of Nonferrous Metals Society of China,2014,24:3309-3315.
[12]王小兵.基于DinSAR技术的矿山开采沉陷监测研究现状[J].金属矿山，2015(S):65-71.Wang Xiaobing.Research states of mining subsidence monitoring based on DInSAR technology[J].Metal Mine,2015(S):65-71.
[13]栾元重.地表移动GPS实时监测技术[J].测绘工程，2000,9(3):33-34.Luan Yuanzhong.GPS real time monitoring technology of surface movement[J].Engineering of Surveying and Mapping,2000,9(3):33-34.
[14]刘贺春，郭秋.综合GPS技术与灰色模型的西郝庄铁矿开采沉陷预计[J].金属矿山，2016(10):116-119.Liu Hechun,Guo Qiu.Prediction of the mining subsidence of Xihaozhuang Iron Mine based on GPS technique and grey mode[lJ].Metal Mine,2016(10):116-119.
[15]侯林锋.大冶铁矿开采沉陷GPS高程拟合CQPSO-LSSVM模型[J].金属矿山，2017(9):166-169.Hou Linfeng.Mining subsidence GPS height fitting CQPSO-LSSVMmodel of Daye Iron Mine[J].Metal Mine,2017(9):166-169.
[16]韩保民，欧吉坤，成枢，等.一种适合开采沉陷观测的GPS单历元相位求解算法[J].煤炭学报，2002,27(5):479-482.Han Baomin,Ou Jikun,Cheng Shu,et al.A new GPS single epoch phase processing algorithm and its application in mining subsidence surveying[J].Journal of China Coal Society,2002,27(5):479-482.
[17]Ge L L,Chang H C,Rizos C.Mine subsidence monitoring using multi-source satellite SAR images[J].Photogrammetric Engineering and Remote Sensing,2007,73(3):259-266.
[18]Zhong L,Charles W J.Characterizing 6 August 2007 Crandall Canyon Mine collapse from ALOS PALSAR InSAR[J].Geomatics,Natural Hazards and Risk,2010(1):85-93
[19]刘一霖.矿区开采沉陷大量级形变监测与反演分析[D].西安：长安大学，2013.Liu Yilin.The Monitoring and Inverse of Large Scale Deformation of Mining Subsidence[D].Xi'an:Chang'an University,2013.
[20]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，1991.He Guoqing,Yang Lun,Ling Gengdi,et al.Mining Subsidence[M].Xuzhou:China University of Mining and Technology Press,1991.
[21]于启升，吴侃，郑汝育.概率积分参数反演中的开采影响传播角问题研究[J].地矿测绘，2011,27(2):7-8.Yu Qisheng,Wu Kan,Zheng Ruyu.Research on the propagation angle of extration parameter inversion based on probability integral method[J].Surveying and Mapping of Geology and Mineral Resources,2011,27(2):7-8.
[22]李亮，陶常君，代坤.边角煤开采地表下沉规律及参数实测研究[J].煤炭科技，2011(1):8-10.Li Liang,Tao Changjun,Dai Kun.Research on measured parameters and surface subsidence rule caused by comer coal mining[J].Coal Science&Technology Magazine,2011(1):8-10.
[2]白光宇，张德强，张进德，等.山区开采沉陷地表移动变形规律[J].辽宁工程技术大学学报：自然科学版，2017,36(7):684-688.Bai Guangyu,Zhang Deqiang,Zhang Jinde,et al.Law of surface movement and deformation of mining subsidence in mountain area[J].Journal of Liaoning Technical University:Natural Science,2017,36(7):684-688.
[3]陈秋计，田柳新，张越.山区开采沉陷预计中地表特性参数提取方法研究[J].煤炭技术，2019,38(3):83-86.Chen Qiuji,Tian Liuxin,Zhang Yue.Extraction method of surface characteristic parameters for mining subsidence prediction in mountainous area[J].Coal Technology,2019,38(3):83-86.
[4]刘振国，卞正富，吕福祥，等.时序DInSAR在重复采动地表沉陷监测中的应用[J].采矿与安全工程学报，2013,20(3):390-395.Liu Zhenguo,Bian Zhengfu,Lyu Fuxiang,et al.Subsidence monitoring caused by repeated excavation with time-series DInSAR[J].Journal of Mining&Safety Engineering,2013,20(3):390-395.
[5]阎跃观.DInSAR监测地表沉陷数据处理理论与应用技术研究[D].北京：中国矿业大学（北京），2010.Yan Yueguan.Data Processing Theory and Applied Technology of Surface Subsidence Monitoring Based on DInSAR[D].Beijing:China University of Mining&Technology(Beijing),2010.
[6]范洪冬.InSAR若干关键算法及其在地表沉降监测中的应用研究[D].徐州：中国矿业大学，2010.Fan Hongdong.Study on Several Key Algorithms of InSAR Technique and Its Application in Land Subsidence Monitoring[D].Xuzhou:China University of Mining and Technology,2010.
[7]祝传广.融合多源SAR影像的形变监测研究[D].徐州：中国矿业大学，2015.Zhu Chuanguang.Study on the Deformation Monitoring Based on Integrating of Multi-source SAR Images[D].Xuzhou:China University of Mining and Technology,2015.
[8]高晓雄，李达，高明章.基于DInSAR技术的矿区地表三维形变监测[J].煤炭技术，2016,35(7):100-102.Gao Xiaoxiong,Li Da,Gao Mingzhang.Three-dimensional surface deformation detection of mining area based on DInSAR technology[J].Coal Technology,2016,35(7):100-102.
[9]何倩，范洪冬，邓咯中，等.基于时序DInSAR的矿区地表沉降监测[J].煤炭技术，2017,36(9):179-180.He Qian,Fan Hongdong,Deng Kazhong,et al.Surface subsidence monitoring of mining area based on time-series DInSAR[J].Coal Technology,2017,36(9):179-180.
[10]成晓倩，马超，康建荣，等.联合DInSAR和PIM技术的沉陷特征模拟和时序分析[J].中国矿业大学学报，2018,47(5):1141-1148.Cheng Xiaoqian,Ma Chao,Kang Jianrong,et al.Simulation and time series analysis of mining subsidence by integrating DInSARand PIM technology[J].Journal of China University of Mining and Technology,2018,47(5):1141-1148.
[11]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].Transactions of Nonferrous Metals Society of China,2014,24:3309-3315.
[12]王小兵.基于DinSAR技术的矿山开采沉陷监测研究现状[J].金属矿山，2015(S):65-71.Wang Xiaobing.Research states of mining subsidence monitoring based on DInSAR technology[J].Metal Mine,2015(S):65-71.
[13]栾元重.地表移动GPS实时监测技术[J].测绘工程，2000,9(3):33-34.Luan Yuanzhong.GPS real time monitoring technology of surface movement[J].Engineering of Surveying and Mapping,2000,9(3):33-34.
[14]刘贺春，郭秋.综合GPS技术与灰色模型的西郝庄铁矿开采沉陷预计[J].金属矿山，2016(10):116-119.Liu Hechun,Guo Qiu.Prediction of the mining subsidence of Xihaozhuang Iron Mine based on GPS technique and grey mode[lJ].Metal Mine,2016(10):116-119.
[15]侯林锋.大冶铁矿开采沉陷GPS高程拟合CQPSO-LSSVM模型[J].金属矿山，2017(9):166-169.Hou Linfeng.Mining subsidence GPS height fitting CQPSO-LSSVMmodel of Daye Iron Mine[J].Metal Mine,2017(9):166-169.
[16]韩保民，欧吉坤，成枢，等.一种适合开采沉陷观测的GPS单历元相位求解算法[J].煤炭学报，2002,27(5):479-482.Han Baomin,Ou Jikun,Cheng Shu,et al.A new GPS single epoch phase processing algorithm and its application in mining subsidence surveying[J].Journal of China Coal Society,2002,27(5):479-482.
[17]Ge L L,Chang H C,Rizos C.Mine subsidence monitoring using multi-source satellite SAR images[J].Photogrammetric Engineering and Remote Sensing,2007,73(3):259-266.
[18]Zhong L,Charles W J.Characterizing 6 August 2007 Crandall Canyon Mine collapse from ALOS PALSAR InSAR[J].Geomatics,Natural Hazards and Risk,2010(1):85-93
[19]刘一霖.矿区开采沉陷大量级形变监测与反演分析[D].西安：长安大学，2013.Liu Yilin.The Monitoring and Inverse of Large Scale Deformation of Mining Subsidence[D].Xi'an:Chang'an University,2013.
[20]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，1991.He Guoqing,Yang Lun,Ling Gengdi,et al.Mining Subsidence[M].Xuzhou:China University of Mining and Technology Press,1991.
[21]于启升，吴侃，郑汝育.概率积分参数反演中的开采影响传播角问题研究[J].地矿测绘，2011,27(2):7-8.Yu Qisheng,Wu Kan,Zheng Ruyu.Research on the propagation angle of extration parameter inversion based on probability integral method[J].Surveying and Mapping of Geology and Mineral Resources,2011,27(2):7-8.
[22]李亮，陶常君，代坤.边角煤开采地表下沉规律及参数实测研究[J].煤炭科技，2011(1):8-10.Li Liang,Tao Changjun,Dai Kun.Research on measured parameters and surface subsidence rule caused by comer coal mining[J].Coal Science&Technology Magazine,2011(1):8-10.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |