Research on applications of InSAR technology to the deformation monitoring of buildings along the subway
Mao ZHU1,Tiyan SHEN1(),Song HUANG2,Shujian BAI3,Chunqin GE3,Qiong HU3
1.School of Government, Peking University, Beijing 100871, China 2.Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518048, China 3.Beijing Vastitude Technology Co., Ltd., Beijing 100081, China
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 (InSAR) 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.
朱茂,沈体雁,黄松,白书建,葛春青,胡琼. InSAR技术地铁沿线建筑物形变监测[J]. 国土资源遥感, 2019, 31(2): 196-203.
Mao ZHU,Tiyan SHEN,Song HUANG,Shujian BAI,Chunqin GE,Qiong HU. Research on applications of InSAR technology to the deformation monitoring of buildings along the subway. Remote Sensing for Land & Resources, 2019, 31(2): 196-203.
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.
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.
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.
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.
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.
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.
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.
Qing X Q, Liao M S, Yang M S , et al. Monitoring Shanghai relocation housing skew deformation using high resolution PS-InSAR technolo-gy[J].Bulletin of Surveying and Mapping, 2016(6):18-21.
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.
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.
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.
Ferretti A, Prati C, Rocca F . Permanent scatterers in SAR interfero-metry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001,39(1):8-20.
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.