广东工业大学学报 ›› 2023, Vol. 40 ›› Issue (01): 83-91.doi: 10.12052/gdutxb.220101

• • 上一篇    下一篇

基于InSAR技术的地表形变监测与影响因素分析

胡波, 陈邦鑫   

  1. 广东工业大学 土木与交通工程学院，广东 广州 510006
  • 收稿日期:2022-06-06 出版日期:2023-01-25 发布日期:2023-01-12
  • 作者简介:胡波(1983-),男,副教授,硕士生导师,主要研究方向为InSAR变形监测的理论和应用,E-mail:hubo@gdut.edu.cn
  • 基金资助:
    国家重点研发项目(2017YFA0603103)；国家自然科学基金资助项目(41204012，41974009，41431070，41590854，41674006)；福建省科技计划项目(2017Y3004)；中国科学院前沿科学重点研究项目(QYZDB-SSW-DQC027，QYZDJ-SSW-DQC042)；大地测量与地球动力学国家重点实验室开放基金资助项目(SKLGED2020-2-3-E)；广州市科学技术规划项目(202102080682)

Surface Deformation Monitoring and Influencing Factor Analysis Based on InSAR Technology

Hu Bo, Chen Bang-xin   

  1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2022-06-06 Online:2023-01-25 Published:2023-01-12

HTML

PDF (PC)

1482

摘要： 地表形变引发的地质灾害屡见不鲜，尤其是在城市区域，其严重阻碍了城市化的可持续发展。为了评估城市地表形变引发地质灾害的风险，高时间空间分辨率的地表形变监测分析变得尤为重要。本文基于2019年1月至2021年1月的Sentinel-1A卫星影像，利用SBAS-InSAR以及PS-InSAR技术获取南昌市地表形变的时间序列，并结合小波周期分析和灰色关联度分析评估形变区域与气候环境的相关性。研究表明，南昌市的中心城区受到城市建设和黏土层厚度的影响，表现出大范围的沉降信号；东南部的农业生态地区由于地下水的补充而表现出抬升的信号。周期分析进一步表明南昌市地表形变皆受降水量变化的影响。本研究结合外部数据，从多个角度考察了地铁线路在变形幅度较大的地区发生沉降灾害的可能性，为防灾减灾提供参考。

关键词: 南昌市, 地表形变, 差分干涉测量短基线集时序分析技术, 地铁, 降水量

Abstract: Geological disasters caused by surface deformation are common, especially in urban areas, which seriously hinders the sustainable development of urbanization. In order to evaluate the risk of geological disasters caused by urban surface deformation, monitoring and analysis with high temporal and spatial resolution becomes particularly important. Based on Sentinel-1A satellite images from January 2019 to January 2021, SBAS InSAR and PS InSAR technology is used to obtain the time series of surface deformation in Nanchang, and wavelet periodic analysis and grey correlation analysis combined to evaluate the correlation between deformation area and climate environment. The research shows that the central urban area of Nanchang is affected by urban construction and clay layers, showing a large-scale subsidence signal; the agro-ecological areas in the southeast show uplift signals due to groundwater replenishment. Periodic analysis further shows that the surface deformation of Nanchang is affected by the change of precipitation. Combined with external data, this study examines the possibility of subsidence disasters of subway lines in areas with large deformation from multiple perspectives, thus providing reference for disaster prevention and reduction.

Key words: Nanchang, surface deformation, small baseline subset InSAR (SBAS), subway, precipitation

中图分类号: 

  • TU196
[1] 房营光, 方引晴. 城市地下工程安全性问题分析及病害防治方法[J]. 广东工业大学学报, 2001, 18(3): 1-5.
FANG Y G, FANG Y Q. Analysis of security and method of disaster prevention of underground engineering in city [J]. Journal of Guangdong University of Technology, 2001, 18(3): 1-5.
[2] HE Y, XU G, KAUFMANN H, et al. Integration of InSAR and LiDAR technologies for a detailed urban subsidence and hazard assessment in Shenzhen, China [J]. Remote Sensing, 2021, 13(12): 2366.
[3] 陈佳炜, 吴希文, 王华, 等. 基于双极化时序InSAR技术的地表形变监测[J]. 广东工业大学学报, 2022, 39(3): 77-82.
CHEN J W, NG ALEX HM, WANG H, et al. Surface deformation monitoring based on dual-polarization time series InSAR technology [J]. Journal of Guangdong University of Technology, 2022, 39(3): 77-82.
[4] BENITO-CALVO A, CARBONEL D, DESIR G, et al. Review on sinkhole monitoring and performance of remediation measures by high-precision leveling and terrestrial laser scanner in the salt karst of the Ebro Valley, Spain[J]. Engineering Geology, 2019 (248): 283-308
[5] MA P, WANG W, ZHANG B, et al. Remotely sensing large- and small-scale ground subsidence: a case study of the Guangdong-Hong Kong-Macao Greater Bay Area of China[J]. Remote Sensing of Environment, 2019, 232: 111282
[6] 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.
ZHU J J, LI Z W, HU J. Research progress and methods of InSAR for deformation monitoring [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1717-1733.
[7] PRABU D, DAVID S, ADRIAN S, et al. High-precision positioning of radar scatterers [J]. Journal of Geodesy, 2016, 90(5): 403-422.
[8] 杨九元, 温扬茂, 许才军. 2021年5月21日云南漾濞M_S6.4地震: 一次破裂在隐伏断层上的浅源走滑事件[J]. 地球物理学报, 2021, 64(9) : 3101-3110.
YANG J Y, WEN Y M, XU C J. The 21 May 2021 Yangbi (Yunnan) earthquake: a shallow strike-slip event rupturing in a blind fault [J]. Journal of Geophysics (in Chinese) , 2021, 64(9) : 3101-3110.
[9] KEIDING M, ARNADOTTIR T, JONSSON S, et al. Plate boundary deformation and man-made subsidence around geothermal fields on the Reykjanes Peninsula, Iceland [J]. Journal of Volcanology & Geothermal Research, 2010, 194(4): 139-149.
[10] 刘媛媛. 不同尺度综合地表形变InSAR时序监测与机理分析[J]. 测绘学报, 2020, 49(7) : 935.
LIU Y Y. Research on the monitoring and inversion of different-scale complex surface deformation with multi-temporal InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(7) : 935-935.
[11] BERARDINO P, COSTANTINI M, FRANCESCHETTI G, et al. Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy) [J]. Engineering Geology, 2003, 68(1-2): 31-51.
[12] FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.
[13] RAHMAN M R, SHI Z H, CAI C. Soil erosion hazard evaluation—an integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies [J]. Ecological Modelling, 2009, 220(13-14): 1724-1734.
[14] LAN H. Complex urban infrastructure deformation monitoring using high resolution PSI [J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2012, 5(2): 643-651.
[15] 莫莹, 朱煜峰, 江利明, 等. 基于Sentinel-1A的南昌市时间序列InSAR地面沉降监测[J]. 大地测量与地球动力学, 2020, 40(3): 270-275.
MO Y, ZHU Y F, JIANG L M, et al. Land subsidence monitoring of Nanchang area based on Sentinel-1A using time series InSAR technology [J]. journal of Geodesy and Geodynamics, 2020, 40(3): 270-275.
[1] 陶浩文, 张孝春, 罗路娜, 冯锦华, 吴震岳. 空气幕特征参数对挡烟效果的影响研究——以广州某地铁为例[J]. 广东工业大学学报, 2018, 35(04): 61-67.
[2] 黄骏；. 浅析地铁站域公共空间的集约化发展[J]. 广东工业大学学报, 2007, 24(4): 109-112.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2017 《广东工业大学学报》编辑部
地址：广州市东风东路729号广东工业大学 邮编：510090
电话：020-37626653,020-37626139,020-37626396
邮箱：xbzrb@gdut.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发