利用时序InSAR监测兰州市中心城区地面沉降Surface subsidence monitoring of Lanzhou downtown area based on time series InSAR technology
张剑,柯宝贵,刘同木,曹炳强
摘要(Abstract):
针对兰州市中心城区的地面沉降问题,该文采用PS-SBAS和PS-InSAR技术,利用2016-01-20—2019-02-21时间段内的39景Sentinel-1A/B降轨数据,使用缓冲区分析技术对兰州市中心城区轨道交通线和铁路线周边100 m区域做了沉降影响分析,监测结果表明:基于Sentinel-1A/B数据和时序InSAR技术,可以准确监测城市地表的沉降和轨道交通线的沉降时空规律;沉降区域主要集中在研究区东南部的方家泉村、和平镇和猪咀岭村;软土地基下地铁的施工会导致沉降现象的发生,兰州轨道交通线和铁路线的沉降主要发生在城区东南方向;在监测时段内,使用两种时序InSAR技术监测的同名点在沉降趋势和累计沉降量上保持了良好的一致性和吻合性,但PS-InSAR的时序变化曲线较PS-SBAS更为平缓。
关键词(KeyWords): PS-InSAR;PS-SBAS;沉降监测;时间序列分析;兰州市
基金项目(Foundation): 国家自然科学基金项目(41874022);; 兰州交通大学优秀平台支持项目(201806)
作者(Author): 张剑,柯宝贵,刘同木,曹炳强
DOI: 10.16251/j.cnki.1009-2307.2021.01.013
参考文献(References):
- [1]BIANCHINI S,MORETTI S.Analysis of recent ground subsidence in the Sibari plain(Italy)by means of satellite SAR interferometry-based methods[J].International Journal of Remote Sensing,2015,36(18):4550-4569.
- [2]李广宇,张瑞,刘国祥,等.Sentinel-1A TS-DInSAR京津冀地区沉降监测与分析[J].遥感学报,2018,22(4):633-646.(LI Guangyu,ZHANG Rui,LIU Guoxiang,et al.Land subsidence detection and analysis over BeijingTianjin-Hebei area based on Sentinel-1ATS-DInSAR[J].Journal of Remote Sensing,2018,22(4):633-646.)
- [3]DU Z Y,GE L L,ALEX H M N,et al.Correlating the subsidence pattern and land use in Bandung,Indonesia with both Sentinel-1/2and ALOS-2satellite images[J].International Journal of Applied Earth Observations and Geoinformation,2018,67:54-68.
- [4]高二涛,范冬林,付波霖,等.基于PS-InSAR和SBAS技术监测南京市地面沉降[J].大地测量与地球动力学,2019,39(2):158-163.(GAO Ertao,FAN Donglin,FAN Bolin,et al.Land subsidence monitoring of Nanjing area based on PS-InSAR and SBAS technology[J].Journal of Geodesy and Geodynamics,2019,39(2):158-163.)
- [5]董山,张永红,李明巨,等.时序InSAR的连云港及盐城北部地表沉降研究[J].测绘科学,2019,44(3):57-62.(DONG Shan,ZHANG Yonghong,LI Mingju,et al.Surface subsidence research of Lianyungang and northern Yancheng based on time series InSAR technology[J].Science of Surveying and Mapping,2019,44(3):57-62.)
- [6]许强,董秀军,李为乐.基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J].武汉大学学报(信息科学版),2019,44(7):957-966.(XU Qiang,DONG Xiujun,LI Weile.Integrated space-air-ground early detection,monitoring and warning system for potential catastrophic Geohazards[J].Geomatics and Information Science of Wuhan University,2019,44(7):957-966.)
- [7]LANARI R,ZENI G,MANUNTA M,et al.An integrated SAR/GIS approach for investigating urban deformation phenomena:a case study of the city of Naples,Italy[J].International Journal of Remote Sensing,2004,25(14):2855-2867.
- [8]FERRETTI A.Nonlinear subsidence rate estimation using permanent scatters in differential SAR interferometry[J]-IEEE Transactions on Geoscience&Remote Sensing,2000,38(5):2202-2212.
- [9]HANSSEN R F.Satellite radar interferometry for deformation monitoring:apriori assessment of feasibility and accuracy[J].International Journal of Applied Earth Observation&Geoinformation,2005,6(3-4):260.
- [10]鹿璐,范洪冬,郑美楠,等.基于TCP-InSAR的采动区铁路动态沉降监测与时序分析[J].大地测量与地球动力学,2019,39(2):164-168.(LU Lu,FAN Hongdong,ZHENG Meinan,et al.Dynamic settlement monitoring and time series analysis of railway in mining area based on TCP-InSAR[J].Journal of Geodesy and Geodynamics,2019,39(2):164-168.)
- [11]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.(ZHUJianjun,LI Zhiwei,HU Jun.Research progress and methods of InSAR for deformation monitoring[J].Acta Geodaetica et CartographicaSinica,2017,46(10):1717-1733.)
- [12]张荐铭,甘淑,袁希平,等.PS-InSAR技术的昆明地表沉降特征提取与分析[J].测绘科学,2019,44(1):53-59.(ZHANG Jianming,GAN Shu,YUAN Xiping,et al.The extraction and analysis of Kunming ground deformation characteristics based on PS-InSAR[J].Science of Surveying and Mapping,2019,44(1):53-59.)
- [13]MAGHSOUDI Y,FREEK V D M,HECKER C,et al.Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia[J].International Journal of Applied Earth Observation and Geoinformation,2017,64:386-396.
- [14]史绪国,张路,许强,等.黄土台塬滑坡变形的时序InSAR监测分析[J].武汉大学学报(信息科学版),2019,44(7):1027-1034.(SHI Xuguo,ZHNAG Lu,XUQiang,et al.Monitoring slope displacements of loess terrace using time series InSAR analysis technique[J].Geomatics and Information Science of Wuhan University,2019,44(7):1027-1034.)
- [15]张永红,李明巨,吴宏安,等.江苏全省地面沉降InSAR监测[J].测绘科学,2019,44(6):114-120.(ZHANGYonghong,LI Mingju,WU Hongan,et al.Ground subsidence monitoring over full territory of Jiangsu province with InSAR[J].Science of Surveying and Mapping,2019,44(6):114-120.)
- [16]白林,江利明,汪汉胜.利用高分辨率TerraSAR-X数据监测武汉地区2013-2015年地面沉降[J].大地测量与地球动力学,2019,39(8):832-836.(BAI Lin,JIANG Liming,WANG Hansheng.Monitoring ground subsidence in Wuhan city with high-resolution TerraSAR-Ximages from 2013to 2015[J].Journal of Geodesy and Geodynamics,2019,39(8):832-836.)
- [17]麻源源,陈云波,左小清,等.Sentinel-1A数据及短基线集的昆明地面沉降分析[J].测绘科学,2019,44(11):59-66.(MA Yuanyuan,CHEN Yunbo,ZUO Xiaoqing,et al.Analysis of land subsidence in Kunming based on Sentinel-1A data and SBAS technolog[J].Scienceof Surveying and Mapping,2019,44(11):59-66.)
- [18]祝秀星,陈蜜,宫辉力,等.采用时序InSAR技术监测北京地铁网络沿线地面沉降[J].地球信息科学学报,2018,20(12):1810-1819.(ZHU Xiuxing,CHEN Mi,GONG Huili,et al.The subsidence monitoring along Beijing subway network based on MT-InSAR[J].Journal of Geo-information Science,2018,20(12):1810-1819.)
- [19]LI J,SHAO S J,SHAO S.Collapsible characteristics of loess tunnel site and their effects on tunnel structure[J].Tunnelling and Underground Space Technology,2019,83:509-519.
- [20]俞莉.基于GIS的滑坡灾害危险性区划研究:以兰州市为例[D].兰州:兰州大学,2012:4-6.(YU Li.Study on landslide hazard zonation based on GIS-taking city of Lanzhou as an example[D].Lanzhou:Lanzhou University,2012:4-6.)
- [21]刘琦,岳国森,丁孝兵,等.佛山地铁沿线时序InSAR形变时空特征分析[J].武汉大学学报(信息科学版),2019,44(7):1099-1106.(LIU Qi,YUE Guosen,DINGXiaobing,et al.Temporal and spatial characteristics analysis of deformation along Foshan subway using time series InSAR[J].Geomatics and Information Science of Wuhan University,2019,44(7):1099-1106.)
- [22]武文娇,章诗芳,赵尚民.SRTM1 DEM与ASTERGDEM V2数据的对比分析[J].地球信息科学学报,2017,19(8):1108-1115.(WU Wenjiao,ZHANGShifang,ZHAO Shangmin.Analysis and comparison of SRTM1DEM and ASTER GDEM V2data[J].Journal of Geo-information Science,2017,19(8):1108-1115.)