DInSAR技术在成昆铁路复线路基及边坡垂直变形监测中的应用  

Application of DInSAR Technology in Vertical Deformation Monitoring of Subgrade and Slope in Chengdu-Kunming Double Track Railway

作　　者：刘欢[1,2,3] 王立娟 马松[1,2,3] 靳晓 范冬丽[1,2,3] 黄永威 LIU Huan;WANG Lijuan;MA Song;JIN Xiao;FAN Dongli;HUANG Yongwei(Sichuan Academy of Safety Science and Technology,Chengdu 610045,China;Major Hazard Measurement and Control Key Laboratory of Sichuan Province,Chengdu 610045,China;Sichuan Anxin Science Creation Technology Co.Ltd.,Chengdu 610045,China;China Railway Southwest Research Institute Co.Ltd.,Chengdu 611731,China)

机构地区：[1]四川省安全科学技术研究院,成都610045 [2]重大危险源测控四川省重点实验室,成都610045 [3]四川安信科创科技有限公司,成都610045 [4]中铁西南科学研究院有限公司,成都611731

出　　处：《铁道建筑》2020年第3期67-72,共6页Railway Engineering

基　　金：四川省科技计划项目(2018GZ0051,2019YFS0073);四川省省级科研院所基本科研业务费项目(2019JDKY0028)。

摘　　要：针对常规铁路路基及边坡垂直变形监测技术效率较低、局限性较大的问题,本文将合成孔径雷达差分干涉测量(Differential Interferometric Synthetic Aperture Radar,DInSAR)技术引入铁路路基及边坡的垂直变形监测中。以成昆(成都-昆明)铁路复线越西段一处(R1区域)路基及边坡为依托,利用4期ALOS-2卫星PALSAR-2高分辨率合成孔径雷达影像,研究DInSAR技术在路基及边坡监测中应用的可行性。结果表明:在监测的126 d内,R1区域地表垂直变形速率为0.12^-0.13 mm/d;以水准测量监测结果为真值,经误差分析得出DInSAR监测中误差为7.57 mm;在污水处理厂的应用实践证明,雷达影像与高分辨率遥感影像、无人机影像等光学影像的互补使用是解决铁路工程领域监测问题的有效途径;DInSAR监测得到的点(像元)密度远大于水准点的密度,能更好地反映区域性地表变形的细节特征。In view of the low efficiency and great limitation of the vertical deformation monitoring technology of the subgrade and slope in the conventional railway,this paper introduced the differential interferometric synthetic aperture radar(DInSAR)technology into the vertical deformation monitoring of the subgrade and slope in the railway.Based on a subgrade and slope in the Yuexi section(R1 area)of Chengdu-Kunming double track railway,this paper studied the feasibility of the application of DInSAR technology in the monitoring of subgrade and slope by using 4 phase ALOS-2 satellite PALSAR-2 high resolution SAR image.The results show that within 126 d of monitoring,the surface vertical deformation rate of R1 area is 0.12-0.13 mm/d,the error of DInSAR monitoring is 7.57 mm through error analysis by taking the result of leveling monitoring as the true value.The application in the sewage treatment plant proves that the complementary use of radar image,high-resolution remote sensing image,unmanned aerial vehicle(UAV)image and other optical images is an effective way to solve the monitoring problems in the field of railway engineering,and the point(pixel)density obtained by DInSAR monitoring is far greater than that of the benchmark,which can better reflect the detailed characteristics of regional surface deformation.

关 键 词：成昆铁路复线 合成孔径雷达差分干涉测量 试验研究 铁路路基 边坡 垂直变形监测 

分 类 号：P642.26[天文地球—工程地质学]