基于InSAR技术的南昌市地铁沿线地面沉降监测与分析
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摘要
地铁的建设与营运会产生沿线的长期持续形变,从而引发地面沉降。本文以南昌市运营中的1、2号线以及在建地铁沿线为研究对象,基于研究区内的26景Sentinel-1A数据和DEM数据,采用了小基线集(Small Baseline Subset,SBAS)时间序列技术,获取了研究区内地表的形变速率与累计形变量。实验结果表明,地铁沿线范围内整体呈现沉降趋势,沉降速率在-2 mm/year～-17mm/year之间,局部区域出现地面抬升情况,累计抬升65.53mm。通过分析时序结果变化以及沉降发生的地理空间分布,推断地铁高速运行产生的地面载荷是地面沉降发生的主要因素。
The construction and operation of metro will produce long-term continuous deformation along the line,which will lead to land subsidence.This paper takes Nanchang city operation in1,line 2,as well as in the construction of metro line as the research object,the study area of the 26 scene Sentinel-1 A data and DEM data based on the Small Baseline Subset(SBAS)time series technology,obtain the deformation in the study area of surface deformation and cumulative rate.The experimental results show that the whole area along the Metro shows a trend of subsidence.The subsidence rate is between-2 mm/year～-17 mm/year,and the ground uplift occurs in some areas,with a cumulative uplift of 65.53 mm.By analyzing the change of time series and the geospatial distribution of settlement,it is concluded that the ground load caused by high-speed operation of Metro is the main factor of land subsidence.
The construction and operation of metro will produce long-term continuous deformation along the line,which will lead to land subsidence.This paper takes Nanchang city operation in1,line 2,as well as in the construction of metro line as the research object,the study area of the 26 scene Sentinel-1 A data and DEM data based on the Small Baseline Subset(SBAS)time series technology,obtain the deformation in the study area of surface deformation and cumulative rate.The experimental results show that the whole area along the Metro shows a trend of subsidence.The subsidence rate is between-2 mm/year～-17 mm/year,and the ground uplift occurs in some areas,with a cumulative uplift of 65.53 mm.By analyzing the change of time series and the geospatial distribution of settlement,it is concluded that the ground load caused by high-speed operation of Metro is the main factor of land subsidence.
引文
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[3]晁春浩，肖州．北京城市副中心沉降区数字地形图高程改正研究[J]．北京测绘，2017(3):131-134．
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[10]BERARDINO P,FORNARO G,LANARI R,et al.A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms[J].Geoscience&Remote Sensing IEEE Transactions on,2003,40(11):2375-2383．
[11]詹景祥，马玚，等．基于SBAS技术的深圳市地表形变监测[J]．测绘工程，2018,27(7):50-54．
[12]张天，庞蕾，等．短基线集干涉技术对北京市地铁沿线沉降监测[J]．北京测绘，2018,32(12):1489-1493．
[13]雷广渊，周辉．基于SBAS技术的金属矿山沉陷规律研究[J]．测绘工程，2015(3):40-46．
[14]段曹斌．降低南昌市象湖西堤堤顶高程可行性分析[J]．水利科技与经济，2010,16(11):1242-1244．
[15]李映辰，柯樱海，等．DEM对PS-InSAR地面沉降监测的影响[J]．测绘科学，2018(1):124-134.
[2]徐爱功，李娜，等．时间序列分析在地铁沉降观测中的应用[J]．测绘科学，2013,38(5):57-60．
[3]晁春浩，肖州．北京城市副中心沉降区数字地形图高程改正研究[J]．北京测绘，2017(3):131-134．
[4]龙四春．DInSAR改进技术及其在沉降监测中的应用[M]．北京：测绘出版社，2012．
[5]季灵运，王庆良，等．基于SBAS-InSAR技术的贡嘎山地区地壳隆升速率提取[C]．中国地球物理2010---中国地球物理学会第二十六届年会、中国地震学会第十三次学术大会论文集．2010．
[6]胡乐银，张景发，等．SBAS-InSAR技术原理及其在地壳形变监测中的应用[G]．地壳构造与地壳应力文集，2010:88-95．
[7]张艳梅，王萍，等．利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J]．测绘通报，2017(4):93-97．
[8]TIZZANI P,BERARDINO P,CASU F,et al.Surface Deformation of Long Valley Caldera and Mono Basin,California,Investigated with the SBAS-InSAR Approach[J].Remote Sensing of Environment,2007,108(3):277-289．
[9]SAMSONOV S,D’OREYE N,SMETS B.Ground Deformation Associated with Post-mining Activity at The FrenchGerman Border Revealed by Novel InSAR Time Series Method[J].International Journal of Applied Earth Observations&Geoinformation,2013,23(8):142-154．
[10]BERARDINO P,FORNARO G,LANARI R,et al.A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms[J].Geoscience&Remote Sensing IEEE Transactions on,2003,40(11):2375-2383．
[11]詹景祥，马玚，等．基于SBAS技术的深圳市地表形变监测[J]．测绘工程，2018,27(7):50-54．
[12]张天，庞蕾，等．短基线集干涉技术对北京市地铁沿线沉降监测[J]．北京测绘，2018,32(12):1489-1493．
[13]雷广渊，周辉．基于SBAS技术的金属矿山沉陷规律研究[J]．测绘工程，2015(3):40-46．
[14]段曹斌．降低南昌市象湖西堤堤顶高程可行性分析[J]．水利科技与经济，2010,16(11):1242-1244．
[15]李映辰，柯樱海，等．DEM对PS-InSAR地面沉降监测的影响[J]．测绘科学，2018(1):124-134.
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