Acta Geodaetica et Cartographica Sinica >

2016 , Vol. 45 >Issue 6: 713 - 721

DOI: https://doi.org/10.11947/j.AGCS.2016.20150440

Application of High-resolution PS-InSAR in Deformation Characteristics Probe of Urban Rail Transit

  • QIN Xiaoqiong ,
  • YANG Mengshi ,
  • WANG Hanmei ,
  • YANG Tianliang ,
  • LIN Jinxin ,
  • LIAO Mingsheng
Expand
  • 1. State Key Laboratory of Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China;
    2. Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources of China, Shanghai 200072, China;
    3. Shanghai Institute of Geological Survey, Shanghai 200072, China

Received date: 2015-08-27

  Revised date: 2016-01-31

  Online published: 2016-06-29

Supported by

The State Key Program of National Natural Science of China (No. 61331016);The Province Key Program of Natural Science Foundation of Hubei (No. 2014CFA047);Major Project of High-resolution Earth Observation System(No. 06-Y30B04-9002-13115)

Fold

Abstract

In order to make sure the security and sustainable development of the urban rail transit, the PS-InSAR technology is introduced into the deformation monitoring of urban rail transit. Taking Shanghai as an example, it is analyzed that the characteristics of surface deformation along the rail transit. Firstly, 26 TerraSAR-X images are used to carry out the high-resolution PS-InSAR subsidence fine measurements in Shanghai for the overall land subsiding characteristics of rail transit. Then, the detail subsidence pattern and the driving force is discussed by classified the rail transit with different construction periods and building modes. Finally, the accuracy of the results is verified by leveling in the same period. The results show that rapid urbanization construction has become a main reason for the subsidence of Shanghai rail transit. Rail transit with different construction periods and building modes show various deformation characteristics. Earlier sections are more stable than later sections and elevated sections have smaller subsidence rate than underground sections. The verification results show fairly consistent agreement. The results further illustrate that it is feasible to use the high-resolution PS-InSAR technology into the deformation monitoring, management, maintenance and early warning of urban public transportation projects. It can also provide decision support for planning and construction of urban public transportation.

Key words： subsidence monitoring; PS-InSAR; urban rail transit; high resolution

Cite this article

QIN Xiaoqiong , YANG Mengshi , WANG Hanmei , YANG Tianliang , LIN Jinxin , LIAO Mingsheng . Application of High-resolution PS-InSAR in Deformation Characteristics Probe of Urban Rail Transit[J]. Acta Geodaetica et Cartographica Sinica, 2016 , 45(6) : 713 -721 . DOI: 10.11947/j.AGCS.2016.20150440

References

[1] 刘运明, 马全明, 陈大勇, 等. D-InSAR技术在城市轨道交通变形监测领域的应用[J]. 都市快轨交通, 2014, 27(4):62-66. LIU Yunming, MA Quanming, CHEN Dayong, et al. D-InSAR Technology Applied in the Field of Deformation Monitoring in Urban Rail Transit[J]. Urban Rapid Rail Transit, 2014, 27(4):62-66.
[2] 袁鹏伟, 宋守信, 董晓庆, 等. 城市轨道交通系统脆弱性因素辨识模型研究[J]. 交通运输系统工程与信息, 2014, 14(5):110-118. YUAN Pengwei, SONG Shouxin, DONG Xiaoqing, et al. Vulnerability Identification Model of Urban Rail Transit System[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(5):110-118.
[3] 李德仁, 廖明生, 王艳. 永久散射体雷达干涉测量技术[J]. 武汉大学学报(信息科学版), 2004, 29(8):664-668. LI Deren, LIAO Mingsheng, WANG Yan. Progress of Permanent Scatterer Interferometry[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8):664-668.
[4] 陈强, 罗容, 杨莹辉, 等. 利用SAR影像配准偏移量提取地表形变的方法与误差分析[J]. 测绘学报, 2015, 44(3):301-308. DOI:10.11947/j.AGCS.2015.20130782. CHEN Qiang, LUO Rong, YANG Yinghui, et al. Method and Accuracy of Extracting Surface Deformation Field from SAR Image Coregistration[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3):301-308. DOI:10.11947/j.AGCS.2015.20130782.
[5] 花奋奋, 赵争, 王萌萌, 等. 面向多基线干涉SAR高程反演的全局最优相干方法[J]. 测绘学报, 2015, 44(11):1263-1271. DOI:10.11947/j.AGCS.2015.20140694. HUA Fenfen, ZHAO Zheng, WANG Mengmeng, et al. A Global Optimal Coherence Method for Multi-baseline InSAR Elevation Inversion[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11):1263-1271. DOI:10.11947/j.AGCS.2015.20140694.
[6] CHEN Jie, WU Jicang, ZHANG Lina, et al. Deformation Trend Extraction Based on Multi-temporal InSAR in Shanghai[J]. Remote Sensing, 2013, 5(4):1774-1786.
[7] 陈强, 杨莹辉, 刘国祥, 等. 基于边界探测的InSAR最小二乘整周相位解缠方法[J]. 测绘学报, 2012, 41(3):441-448. CHEN Qiang, YANG Yinghui, LIU Guoxiang, et al. InSAR. Phase Unwrapping Using Least Squares Method with Integer Ambiguity Resolution and Edge Detection[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(3):441-448.
[8] 张永红, 吴宏安, 孙广通. 时间序列InSAR技术中的形变模型研究[J]. 测绘学报, 2012, 41(6):864-869. ZHANG Yonghong, WU Hongan, SUN Guangtong. Deformation Model of Time Series Interferometric SAR Techniques[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6):864-869.
[9] SHI Xuguo, LIAO Mingsheng, WANG Teng, et al. Expressway Deformation Mapping Using High-resolution TerraSAR-X Images[J]. Remote Sensing Letters, 2014, 5(2):194-203.
[10] 程海琴, 陈强, 刘国祥, 等. 短基线InSAR探测龙门山主断裂带两侧震后雨期的滑坡空间分布特征[J]. 测绘学报, 2014, 43(9):931-938. DOI:10.13485/j.cnki.11-2089.2014.0161. CHENG Haiqin, CHEN Qiang, LIU Guoxiang, et al. Post-earthquake Landslides Distribution along Longmenshan Major Fault during Rainy Season with Short-baseline InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(9):931-938. DOI:10.13485/j.cnki.11-2089.2014.0161.
[11] GE Linlin, LI Xiaojing, Chang Hsingchung, et al. Impact of Ground Subsidence on the Beijing-Tianjin High-speed Railway as Mapped by Radar Interferometry[J]. Annals of GIS, 2010, 16(2):91-102.
[12] 王艳, 廖明生, 李德仁, 等. 利用长时间序列相干目标获取地面沉降场[J]. 地球物理学报, 2007, 50(2):598-604. WANG Yan, LIAO Mingsheng, LI Deren, et al. Subsidence Velocity Retrieval from Longterm Coherent Targets in Radar Interferometric Stack[J]. Chinese Journal of Geophysics, 2007, 50(2):598-604.
[13] 卢丽君, 廖明生, 王腾, 等. 一种在长时间序列SAR影像上提取稳定目标点的多级探测法[J]. 遥感学报, 2008, 12(4):561-567. LU Lijun, LIAO Mingsheng, WANG Teng, et al. A Multi-step Detection Method for Extraction of Stable Pointwise Target in Long Temporal SAR Image Series[J]. Journal of Remote Sensing, 2008, 12(4):561-567.
[14] 裴媛媛, 廖明生, 王寒梅. 利用时序DInSAR监测填海造陆地区地表沉降[J]. 武汉大学学报(信息科学版), 2012, 37(9):1092-1095. PEI Yuanyuan, LIAO Mingsheng, WANG Hanmei. Monitoring Subsidence in Reclamation Area with Time Series DInSAR Images[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9):1092-1095.
[15] DONG Shaochun, SAMSONOV S, YIN Hongwei, et al. Time-series Analysis of Subsidence Associated with Rapid Urbanization in Shanghai, China Measured with SBAS InSAR Method[J]. Environmental Earth Sciences, 2014, 72(3):677-691.
[16] PERISSIN D,WANG Zhiying,LIN Hui. Shanghai Subway Tunnels and Highways Monitoring through Cosmo-SkyMed Persistent Scatterers[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73:58-67.
[17] 熊文秀, 冯光财, 李志伟, 等. 顾及时空特性的SBAS高质量点选取算法[J]. 测绘学报, 2015, 44(11):1246-1254. XIONG Wenxiu, FENG Guangcai, LI Zhiwei, et al. High Quality Targets Selection in SBAS-InSAR Technique by Considering Temporal and Spatial Characteristic[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11):1246-1254.
[18] 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 Mingsheng, WANG Teng. Time Series InSAR Technology and Application[M]. Beijing:Science Press, 2014.
[19] 莫群欢, 季良华, 庄永乐, 等. 上海市第四系的工程地质研究[J]. 高校地质学报, 1999, 5(4):467-473. MO Qunhuan, JI Lianghua, ZHUANG Yongle, et al. Study on Engineering Geology of Shallow Quaternary System in Urban Area of Shanghai[J]. Geological Journal of China Universities, 1999, 5(4):467-473.
[20] 龚士良. 上海地面沉降研究综述[J]. 上海地质, 2006(4):25-29. GONG Shiliang. Review on Land Subsidence Research of Shanghai[J]. Shanghai Geology, 2006(4):25-29.
[21] 龚士良, 叶为民, 陈洪胜, 等. 上海市深基坑工程地面沉降评估理论与方法[J]. 中国地质灾害与防治学报, 2008, 19(4):55-60. GONG Shiliang, YE Weimin, CHEN Hongsheng, et al. Theory and Methodology on Assessment of Land Subsidence Caused by Excavation Engineering for Deep Foundation Pit in Shanghai[J]. The Chinese Journal of Geological Hazard and Control, 2008, 19(4):55-60.
[22] AO Minsi, WANG Changcheng, XIE Rongan, et al. Monitoring the Land Subsidence with Persistent Scatterer Interferometry in Nansha District, Guangdong, China[J]. Natural Hazards, 2015, 75(3):2947-2964.
Options
Outlines

/

〈 〉