Monitoring of surface deformation along the Qinghai-Tibet Railway with the time series InSAR technology

doi:10.13474/j.cnki.11-2246.2022.0092

Abstract

Abstract: The ground surface along the Qinghai-Tibet Railway is affected by permafrost,which will cause uplift and subsidence,so deformation monitoring is very important for its safe operation.The 41 scenes of C-band Sentinel-1A ascending data are used,combined with the relatively uniformly distributed permanent scatterers detected by the sub-region division method,as the ground control point of the SBAS InSAR technology to monitor the surface deformation of the railway from Yangbajing Station to Wumatang Station.The experimental results show that the annual deformation rate of this section of the railway is between-8 mm/a and 2 mm/a.The deformation of this area is affected by the surrounding frozen soil,which changes periodically with the seasons.The SBAS InSAR technology and the PS-SBAS InSAR technology used in this paper are compared in terms of the deformation trend and degree of deformation at the homologous point.The results are consistent,which shows the reliability of the method in this paper.

Key words: PS-SBAS InSAR;time series analysis;deformation monitoring;periodic change

CLC Number:

P237

LU Zhongxiang, FAN Yanguo, LI Guosheng. Monitoring of surface deformation along the Qinghai-Tibet Railway with the time series InSAR technology[J]. Bulletin of Surveying and Mapping, 2022, 0(3): 138-142,156.

References

[1] 冉有华,李新,程国栋,等. 2005-2015年青藏高原多年冻土稳定性制图[J].中国科学:地球科学, 2021, 51(2):183-200.
[2] 王亚锋.青藏铁路地质灾害分布特征研究[D].成都:西南交通大学, 2016.
[3] 王栋,张广泽,徐正宣,等.基于时间序列InSAR技术的铁路地质灾害识别研究[J].地质灾害与环境保护, 2019, 30(3):85-91.
[4] 李晓恩,周亮,苏奋振,等. InSAR技术在滑坡灾害中的应用研究进展[J].遥感学报, 2021,25(2):614-629.
[5] 云烨,吕孝雷,付希凯,等.星载InSAR技术在地质灾害监测领域的应用[J].雷达学报, 2020, 9(1):73-85.
[6] GALVE J P, CASTAÑEDA C, GUTIÉRREZ F. Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite Karst, Spain[J]. Natural Hazards and Earth System Sciences, 2015, 15(11):2439-2448.
[7] 高文峰,甘俊,王长进. DInSAR沉降监测技术在铁路勘察设计中的应用[J].遥感信息, 2015, 30(5):83-87.
[8] SHI Wei, CHEN Guan, MENG Xingmin, et al. Spatialtemporal evolution of land subsidence and rebound over Xi'an in Western China revealed by SBAS-InSAR analysis[J]. Remote Sensing, 2020, 12(22):3756.
[9] 张兆旭.基于PS-InSAR技术的高速铁路沉降监测研究[D].北京:中国地质大学(北京), 2016.
[10] 张佳佳,高波,刘建康,等.基于SBAS-InSAR技术的川藏铁路澜沧江段滑坡隐患早期识别[J].现代地质, 2021, 35(1):64-73.
[11] 周华云.基于SBAS-InSAR技术对五道梁多年冻土区地面形变监测与分析[D].兰州:兰州交通大学, 2018.
[12] 刘学武.利用小基线集技术监测青藏高原多年冻土形变[J].测绘工程, 2020, 29(6):61-66, 80.
[13] ZHANG Zhengjia, WANG Mengmeng, WU Zhijie, et al. Permafrost deformation monitoring along the Qinghai-Tibet plateau engineering corridor using InSAR observations with multi-sensor SAR datasets from 1997-2018[J]. Sensors, 2019, 19(23):5306.
[14] YANG Ying, SUN Yifang, WU Shihong, et al. Surface deformation monitoring of a section of Gongyu expressway based on SBAS-InSAR technology[J]. E3S Web of Conferences, 2021, 233:01149.
[15] 李珊珊.基于SBAS技术的青藏铁路区冻土形变监测研究[D].长沙:中南大学, 2012.
[16] 周华云,赵林,田黎明,等.基于Sentinel-1数据对青藏高原五道梁多年冻土区地面形变的监测与分析[J].冰川冻土, 2019, 41(3):525-536.
[17] KARAMVASIS K, KARATHANASSI V. Performance analysis of open source time series InSAR methods for deformation monitoring over a broader mining region[J]. Remote Sensing, 2020, 12(9):1380.
[18] 张剑,柯宝贵,刘同木,等.利用时序InSAR监测兰州市中心城区地面沉降[J].测绘科学, 2021, 46(1):99-107.
[19] 李路.改进的SBAS-InSAR技术在矿区地表沉降监测中的应用[D].北京:中国地质大学(北京), 2020.
[20] 丛充.基于Sentinel-1A卫星干涉数据的高原冻土交通走廊地表形变研究[D].北京:北京交通大学, 2018.