InSAR技术地铁沿线建筑物形变监测
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摘要
作为一种缓变的地质灾害,地面沉降会对建筑物的安全状况产生严重影响。尤其是地铁施工给周边目标引入的沉降风险,已经成为政府管理部门和社会热点关注问题之一。星载合成孔径雷达干涉测量(interferometric synthetic aperture Radar,In SAR)技术能全天时、全天候、大范围获取地表高精度形变信息,为受地面沉降影响后城市建筑物的风险评估提供技术支持。以深圳市某地铁站周边建筑群为研究对象,利用PSP-In SAR技术,获取了深圳市2013年9月—2016年9月的形变数据。在数据分析的过程中,首先结合地铁站施工方案、地质资料和建筑物自身属性,对不同时间段建筑物的形变趋势变化及其对建筑物的影响开展了相应研究;然后,选取研究区域内某栋建筑物为研究对象,分析了不同部位PS点的差异形变和倾斜量,并结合相应标准,初步评估了该栋建筑物受沉降灾害影响的风险;最后,通过与水准数据对比,验证了In SAR形变测量结果的精度。实地调研也在形变量较大的建筑物上发现了相应危险征兆。实际案例分析证实了In SAR技术有能力在未来城市建筑物风险评估及综合治理的过程中起到重要作用。
As a slow onset geological hazard,ground subsidence could damage buildings. In particular,the settlement risk induced by subway construction on building structures has become a matter of concern to governmental authorities and the public. Spaceborne interferometric synthetic aperture Radar( In SAR) technology could acquire high-precision surface deformation information and provide technical support to evaluate the risk level of urban buildings caused by ground subsidence hazards. Based on the deformation data acquired from September 2013 to September 2016 by PSP-InSAR algorithm,the authors selected the buildings near a subway station in Shenzhen as the study object. In data analysis process,first of all,combined with the construction scheme of subway station,geological information and the property of the building,the authors carried out the corresponding research on the change of the deformation trend in different periods and the risk assessment of the settlement disaster. Then,one building in the study area was selected as the research object,and the differential deformation and inclination were analyzed based on the deformation of PS at different locations. Combined with the corresponding standards, the risk of building subsidence disaster was preliminarily evaluated. Finally, by comparing with the leveling data,the precision of the InSAR measurement results was discussed. In accordance with the field investigation,it is verified that the corresponding risk symptoms have been found on the buildings whose deformation values were identified as relatively high in the analysis process. The comparison between data analysis and field investigation results confirms that InSAR technology is capable of playing an important role in urban building risk management process in the future and the methodology can be widely applied beyond the case study area.
As a slow onset geological hazard,ground subsidence could damage buildings. In particular,the settlement risk induced by subway construction on building structures has become a matter of concern to governmental authorities and the public. Spaceborne interferometric synthetic aperture Radar( In SAR) technology could acquire high-precision surface deformation information and provide technical support to evaluate the risk level of urban buildings caused by ground subsidence hazards. Based on the deformation data acquired from September 2013 to September 2016 by PSP-InSAR algorithm,the authors selected the buildings near a subway station in Shenzhen as the study object. In data analysis process,first of all,combined with the construction scheme of subway station,geological information and the property of the building,the authors carried out the corresponding research on the change of the deformation trend in different periods and the risk assessment of the settlement disaster. Then,one building in the study area was selected as the research object,and the differential deformation and inclination were analyzed based on the deformation of PS at different locations. Combined with the corresponding standards, the risk of building subsidence disaster was preliminarily evaluated. Finally, by comparing with the leveling data,the precision of the InSAR measurement results was discussed. In accordance with the field investigation,it is verified that the corresponding risk symptoms have been found on the buildings whose deformation values were identified as relatively high in the analysis process. The comparison between data analysis and field investigation results confirms that InSAR technology is capable of playing an important role in urban building risk management process in the future and the methodology can be widely applied beyond the case study area.
引文
[1]高飞.城市地铁隧道施工引起的地面沉降[J].城市建筑,2016(18):338.Gao F. Ground surface settlement due to urban tunnel construction[J]. Urbanism and Architecture,2016(18):338.
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[4]朱建军,李志伟,胡俊. InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.Zhu J J,Li Z W,Hu J. Research progress and methods of In SAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.
[5]葛大庆,殷跃平,王艳,等.地面沉降-回弹及地下水位波动的InSAR长时序监测———以德州市为例[J].国土资源遥感,2014,26(1):103-109. doi:10. 6046/gtzyyg. 2014. 01. 18.Ge D Q,Yin Y P,Wang Y,et al. Seasonal subsidence-rebound and ground water level changes monitoring by using coherent target InSAR technique:A case study of Dezhou,Shandong[J]. Remote Sensing for Land and Resources,2014,26(1):103-109. doi:10.6046/gtzyyg. 2014. 01. 18.
[6]刘一霖,张勤,黄海军,等.矿区地表大量级沉陷形变短基线集InSAR监测分析[J].国土资源遥感,2017,29(2):144-151. doi:10. 6046/gtzyyg. 2017. 02. 21.Liu Y L,Zhang Q,Huang H J,et al. Monitoring and analyzing large scale land subsidence over the mining area using small baseline subset InSAR[J]. Remote Sensing for Land and Resources,2017,29(2):144-151. doi:10. 6046/gtzyyg. 2017. 02. 21.
[7]赵亿,钱乐,杨魁.探讨InSAR技术在城市建筑物沉降监测中的精度[J].城市勘测,2015(3):115-119.Zhao Y,Qian L,Yang K. The discussion of InSAR accuracy in the urban building subsidence monitoring[J]. Urban Geotechnical Investigation and Surveying,2015(3):115-119.
[8] Gernhardt S,Bamler R. Deformation monitoring of single buildings using meter-resolution SAR data in PSI[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2012,73(9):68-79.
[9] Bianchini S,Pratesi F,Nolesini T,et al. Building deformation assessment by means of persistent scatterer interferometry analysis on a landslide-affected area:The Volterra(Italy)case study[J].Remote Sensing,2015,7(4):4678-4701.
[10] Tapete D,Fanti R,Cecchi R,et al. Satellite Radar interferometry for monitoring and early-stage warning of structural instability in archaeological sites[J]. Journal of Geophysics and Engineering,2012,9(4):10-25.
[11]陈蓓蓓,宫辉力,李小娟,等.基于In SAR技术北京地区地面沉降监测与风险分析[J].地理与地理信息科学,2011,27(2):16-20.Chen P P,Gong H L,Li X J,et al. Monitoring and risk analysis of land subsidence in Beijing based on interferometric synthetic aperture Radar(InSAR)technique[J]. Geography and Geo-Information Science,2011,27(2):16-20.
[12]秦晓琼,廖明生,杨梦诗,等.应用高分辨率PS-InSAR技术监测上海动迁房歪斜形变[J].测绘通报,2016(6):18-21.Qing X Q,Liao M S,Yang M S,et al. Monitoring Shanghai relocation housing skew deformation using high resolution PS-In SAR technology[J]. Bulletin of Surveying and Mapping,2016(6):18-21.
[13] Costantini M,Falco S,Malvarosa F,et al. A new method for identification and analysis of persistent scatterers in series of SAR images[C]//IEEE International Geoscience and Remote Sensing Symposium(IGARSS). Boston:IEEE,2008:449-452.
[14] Costantini M,Falco S,Malvarosa F,et al. Persistent scatterer pair interferometry:Approach and application to COSMO-SkyMed SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(7):2869-2879.
[15] Ferretti A,Prati C,Rocca F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[16] Ferretti A,Prati C,Rocca F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[17] Covello F. Battazza F. Coletta A,et al. COSMO-SkyMed an existing opportunity for observing the Earth[J]. Journal of Geodynamics,2010,49(3-4):171-180.
[2] Bamler R,Hartl P. Synthetic aperture Radar interferometry[J]. Inverse Problems,1998,14(4):1-54.
[3]廖明生,王腾.时间序列InSAR技术与应用[M].北京:科学出版社,2014.Liao M S,Wang T. Time Series InSAR Technology and Its Application[M]. Beijing:Science Press,2014.
[4]朱建军,李志伟,胡俊. InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.Zhu J J,Li Z W,Hu J. Research progress and methods of In SAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.
[5]葛大庆,殷跃平,王艳,等.地面沉降-回弹及地下水位波动的InSAR长时序监测———以德州市为例[J].国土资源遥感,2014,26(1):103-109. doi:10. 6046/gtzyyg. 2014. 01. 18.Ge D Q,Yin Y P,Wang Y,et al. Seasonal subsidence-rebound and ground water level changes monitoring by using coherent target InSAR technique:A case study of Dezhou,Shandong[J]. Remote Sensing for Land and Resources,2014,26(1):103-109. doi:10.6046/gtzyyg. 2014. 01. 18.
[6]刘一霖,张勤,黄海军,等.矿区地表大量级沉陷形变短基线集InSAR监测分析[J].国土资源遥感,2017,29(2):144-151. doi:10. 6046/gtzyyg. 2017. 02. 21.Liu Y L,Zhang Q,Huang H J,et al. Monitoring and analyzing large scale land subsidence over the mining area using small baseline subset InSAR[J]. Remote Sensing for Land and Resources,2017,29(2):144-151. doi:10. 6046/gtzyyg. 2017. 02. 21.
[7]赵亿,钱乐,杨魁.探讨InSAR技术在城市建筑物沉降监测中的精度[J].城市勘测,2015(3):115-119.Zhao Y,Qian L,Yang K. The discussion of InSAR accuracy in the urban building subsidence monitoring[J]. Urban Geotechnical Investigation and Surveying,2015(3):115-119.
[8] Gernhardt S,Bamler R. Deformation monitoring of single buildings using meter-resolution SAR data in PSI[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2012,73(9):68-79.
[9] Bianchini S,Pratesi F,Nolesini T,et al. Building deformation assessment by means of persistent scatterer interferometry analysis on a landslide-affected area:The Volterra(Italy)case study[J].Remote Sensing,2015,7(4):4678-4701.
[10] Tapete D,Fanti R,Cecchi R,et al. Satellite Radar interferometry for monitoring and early-stage warning of structural instability in archaeological sites[J]. Journal of Geophysics and Engineering,2012,9(4):10-25.
[11]陈蓓蓓,宫辉力,李小娟,等.基于In SAR技术北京地区地面沉降监测与风险分析[J].地理与地理信息科学,2011,27(2):16-20.Chen P P,Gong H L,Li X J,et al. Monitoring and risk analysis of land subsidence in Beijing based on interferometric synthetic aperture Radar(InSAR)technique[J]. Geography and Geo-Information Science,2011,27(2):16-20.
[12]秦晓琼,廖明生,杨梦诗,等.应用高分辨率PS-InSAR技术监测上海动迁房歪斜形变[J].测绘通报,2016(6):18-21.Qing X Q,Liao M S,Yang M S,et al. Monitoring Shanghai relocation housing skew deformation using high resolution PS-In SAR technology[J]. Bulletin of Surveying and Mapping,2016(6):18-21.
[13] Costantini M,Falco S,Malvarosa F,et al. A new method for identification and analysis of persistent scatterers in series of SAR images[C]//IEEE International Geoscience and Remote Sensing Symposium(IGARSS). Boston:IEEE,2008:449-452.
[14] Costantini M,Falco S,Malvarosa F,et al. Persistent scatterer pair interferometry:Approach and application to COSMO-SkyMed SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(7):2869-2879.
[15] Ferretti A,Prati C,Rocca F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[16] Ferretti A,Prati C,Rocca F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[17] Covello F. Battazza F. Coletta A,et al. COSMO-SkyMed an existing opportunity for observing the Earth[J]. Journal of Geodynamics,2010,49(3-4):171-180.
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