基于SBAS-InSAR的窑街煤矿开采沉陷研究
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摘要
基于SBAS-InSAR技术,利用84期Sentinel-1A数据,对窑街煤矿矿区2014年10月至2018年9月期间地表形变进行监测,获取研究区时间序列地表形变信息。研究发现矿区范围内存在三处开采沉陷区,提取沉陷影响面积,并对时序沉陷规律进行分析。最大累积沉陷值达到350 mm,沉陷中心区最大年平均沉陷速率约为200 mm/a,沉陷区位置与煤矿开采工作区一致。研究表明SBASIn SAR技术可以有效应用于开采沉陷区的识别与监测,为采空区灾害的预防及治理提供技术服务。
The time series surface deformation information was obtained based on SBAS-In SAR technology,the surface deformation from October 2014 to September 2018 was monitored using the 84 Sentinel-1 A data in Yaojie coal mining area. The study found that there were three mining subsidence funnels in the mining area,the area affected by subsidence was extracted and the law of time series subsidence was analyzed. The maximum cumulative subsidence value was 350 mm,the annual average subsidence rate in the central area of the funnel was about200 mm/a,and the location of the subsidence funnel was consistent with the three mining working areas. Research showed that SBAS-InSAR technology could be effectively applied to the identification and monitoring of mining subsidence areas,providing the technical services for the prevention and treatment of disasters in goaf.
The time series surface deformation information was obtained based on SBAS-In SAR technology,the surface deformation from October 2014 to September 2018 was monitored using the 84 Sentinel-1 A data in Yaojie coal mining area. The study found that there were three mining subsidence funnels in the mining area,the area affected by subsidence was extracted and the law of time series subsidence was analyzed. The maximum cumulative subsidence value was 350 mm,the annual average subsidence rate in the central area of the funnel was about200 mm/a,and the location of the subsidence funnel was consistent with the three mining working areas. Research showed that SBAS-InSAR technology could be effectively applied to the identification and monitoring of mining subsidence areas,providing the technical services for the prevention and treatment of disasters in goaf.
引文
[1]杨逾.受采煤沉陷影响黄土层滑移分析———以甘肃省窑街煤矿为例[J].中国地质灾害与防治学报,2006,17(1):115-118.
[2]窦贤.西部矿山环境警报频响[J].生态经济,2005(3):4-9.
[3]王志勇,张继贤,黄国满.基于In SAR的济宁矿区沉降精细化监测与分析[J].中国矿业大学学报,2014,43(1):169-174.
[4]朱建军,李志伟,胡俊. In SAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
[5]李德仁,周月琴,马洪超.卫星雷达干涉测量原理与应用[J].测绘科学,2000,25(1):9-12.
[6]王鹏辉,徐妍,焦明连.三轨法D-In SAR技术在矿区沉降监测中的应用[J].矿山测量,2017,45(6):12-14.
[7] Carnec C,Massonnet D,King C. Two examples of the use of SAR interferometry on displacement fields of small extent. Geophys. Res. Letts[J]. Geophysical Research Letters,1996,23(24):3579-3582.
[8] Perski Z,Jura D. ERS SAR interferometry for land subsidence detection in coal mining areas[J]. Earth Observation Quarterly,1999(63):25-29.
[9] Ge L,Rizos C,Han S,et al. MINING SUBSIDENCE MONITORING USING THE COMBINED INSAR AND GPS APPROACH[J]. Proceedings of Fig International Symposium on Deformation Measurements,2001:1-10.
[10] Walter D,Hoffmann J,Kampes B,et al. Radar Interferometric Analysis of Mining Induced Surface Subsidence using Permanent Scatterers(45)[J]. 2005,572.
[11] C. Colesanti Corresponding author,S. Le Mouelic,M.Bennani,et al. Detection of mining related ground instabilities using the Permanent Scatterers technique—a case study in the east of France[J]. International Journal of Remote Sensing,2012,26(1):201.
[12] Abdikan S,Ar? kan M,Sanli F B,et al. Monitoring of coal mining subsidence in peri-urban area of Zonguldak city(NW Turkey)with persistent scatterer interferometry using ALOS-PALSAR[J]. Environmental Earth Sciences,2014,71(9):4081-4089.
[13]吴立新,高均海,葛大庆,等.工矿区地表沉陷DIn SAR监测试验研究[J].东北大学学报(自然科学版),2005,26(8):67-71.
[14]邓喀中,姚宁,卢正,等. D-In SAR监测开采沉陷的实验研究[J].金属矿山,2009(12):25-27.
[15] Jiang L,Lin H,Ma J,et al. Potential of small-baseline SAR interferometry for monitoring land subsidence related to underground coal fires:Wuda(Northern China)case study[J]. Remote Sensing of Environment,2011,115(2):257-268.
[16]尹宏杰,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.
[17]刘志敏,李永生,张景发,等.基于SBAS-In SAR的长治矿区地表形变监测[J].国土资源遥感,2014(3):37-42.
[18]赵伟颖.面向矿区沉降监测的In SAR技术应用研究[D].徐州:中国矿业大学,2015.
[19]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS In SAR监测———以徐州市为例[J].测绘通报,2017(1):58-64.
[20]宋玉勤.民和盆地油页岩分布规律及成矿机制研究[D].吉林:吉林大学,2006.
[21]侯云龙,张仲福,王玉琳,等.窑街煤矿采空塌陷形成机理及其发育规律研究[J].甘肃地质,2012(2):75-78.
[22] Berardino P,Fornaro G,Lanari R,et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.
[2]窦贤.西部矿山环境警报频响[J].生态经济,2005(3):4-9.
[3]王志勇,张继贤,黄国满.基于In SAR的济宁矿区沉降精细化监测与分析[J].中国矿业大学学报,2014,43(1):169-174.
[4]朱建军,李志伟,胡俊. In SAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
[5]李德仁,周月琴,马洪超.卫星雷达干涉测量原理与应用[J].测绘科学,2000,25(1):9-12.
[6]王鹏辉,徐妍,焦明连.三轨法D-In SAR技术在矿区沉降监测中的应用[J].矿山测量,2017,45(6):12-14.
[7] Carnec C,Massonnet D,King C. Two examples of the use of SAR interferometry on displacement fields of small extent. Geophys. Res. Letts[J]. Geophysical Research Letters,1996,23(24):3579-3582.
[8] Perski Z,Jura D. ERS SAR interferometry for land subsidence detection in coal mining areas[J]. Earth Observation Quarterly,1999(63):25-29.
[9] Ge L,Rizos C,Han S,et al. MINING SUBSIDENCE MONITORING USING THE COMBINED INSAR AND GPS APPROACH[J]. Proceedings of Fig International Symposium on Deformation Measurements,2001:1-10.
[10] Walter D,Hoffmann J,Kampes B,et al. Radar Interferometric Analysis of Mining Induced Surface Subsidence using Permanent Scatterers(45)[J]. 2005,572.
[11] C. Colesanti Corresponding author,S. Le Mouelic,M.Bennani,et al. Detection of mining related ground instabilities using the Permanent Scatterers technique—a case study in the east of France[J]. International Journal of Remote Sensing,2012,26(1):201.
[12] Abdikan S,Ar? kan M,Sanli F B,et al. Monitoring of coal mining subsidence in peri-urban area of Zonguldak city(NW Turkey)with persistent scatterer interferometry using ALOS-PALSAR[J]. Environmental Earth Sciences,2014,71(9):4081-4089.
[13]吴立新,高均海,葛大庆,等.工矿区地表沉陷DIn SAR监测试验研究[J].东北大学学报(自然科学版),2005,26(8):67-71.
[14]邓喀中,姚宁,卢正,等. D-In SAR监测开采沉陷的实验研究[J].金属矿山,2009(12):25-27.
[15] Jiang L,Lin H,Ma J,et al. Potential of small-baseline SAR interferometry for monitoring land subsidence related to underground coal fires:Wuda(Northern China)case study[J]. Remote Sensing of Environment,2011,115(2):257-268.
[16]尹宏杰,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.
[17]刘志敏,李永生,张景发,等.基于SBAS-In SAR的长治矿区地表形变监测[J].国土资源遥感,2014(3):37-42.
[18]赵伟颖.面向矿区沉降监测的In SAR技术应用研究[D].徐州:中国矿业大学,2015.
[19]姜德才,张继贤,张永红,等.百年煤城地表沉降融合PS/SBAS In SAR监测———以徐州市为例[J].测绘通报,2017(1):58-64.
[20]宋玉勤.民和盆地油页岩分布规律及成矿机制研究[D].吉林:吉林大学,2006.
[21]侯云龙,张仲福,王玉琳,等.窑街煤矿采空塌陷形成机理及其发育规律研究[J].甘肃地质,2012(2):75-78.
[22] Berardino P,Fornaro G,Lanari R,et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.