Urban land subsidence monitoring using multi-sensor SAR datasets

doi:10.13474/j.cnki.11-2246.2021.0179

Abstract

Abstract: In the past few decades, Los Angeles has occurred severe surface deformation due to human factors such as natural disasters, urban construction, groundwater extraction and oil extraction. The purpose of this study is to map the distribution of surface deformation rates in Los Angeles, and use improved SBAS (small baseline set) technology and multi-sensor SAR data sets to analyze the causes of deformation in the area from October 2003 to October 2017. At the same time, the deformation results of SBAS inversion, GPS measurement results and the deformation results of the multi-sensor SAR data set are compared, and the results are highly consistent. The results show that between 2003 and 2017, settlement and uplift occurred in many areas of Los Angeles. The maximum cumulative settlement was -266.8 mm, and the annual average settlement rate was -19 mm/a, which was mainly caused by the excessive exploitation of groundwater. The maximum cumulative up lift was 104.8 mm, and the annual average uplift speed could reach 7.5 mm/a. The research results have good practical application value and can provide an important basis for the local government’s disaster prevention and mitigation.

Key words: SBAS, multi-sensor SAR data, ground deformation, land subsidence

CLC Number:

P258

ZHU Xingang, LI Geng’er. Urban land subsidence monitoring using multi-sensor SAR datasets[J]. Bulletin of Surveying and Mapping, 2021, 0(6): 71-75.

References

[1] 杨主恩, 黄建发. 洛杉矶北岭地震考察及地质构造背景[C]//中国地震学会第五次学术大会论文摘要集. 北京:[s.n.],1994.
[2] 雷坤超, 罗勇, 陈蓓蓓,等. 北京平原区地面沉降分布特征及影响因素[J]. 中国地质, 2016, 43(6):2216-2228.
[3] 乔书波,李金岭,孙付平,等. InSAR技术现状与应用[J]. 天文学进展,2003(1):11-25.
[4] MANZO M, FIALKO Y, CASU F, et al. A quantitative assessment of DInSAR measurements of interseismic deformation: the southern San Andreas Fault case study[J]. Pure and Applied Geophysics, 2012, 169(8):1463-1482.
[5] 王霞迎, 赵超英, 尹慧芳. 地表形变时间序列InSAR监测法综述[J]. 地球物理学进展, 2018, 33(4):1430-1437.
[6] 侯安业, 张景发, 刘斌,等. PS-InSAR与SBAS-InSAR监测地表沉降的比较研究[J]. 大地测量与地球动力学, 2012, 32(4):125-128.
[7] 胡乐银. 应用InSAR时序分析方法监测断层活动性研究[D]. 青岛:山东科技大学, 2010.
[8] 刘亚岚, 王世新, 魏成阶,等. 利用星载SAR快速监测评估我国的洪涝灾害[J]. 遥感信息, 2000(1):32-35.
[9] 许文斌, 李志伟, 丁晓利,等. 利用InSAR短基线技术估计洛杉矶地区的地表时序形变和含水层参数[J]. 地球物理学报, 2012, 55(2):452-461.
[10] 左荣虎, 屈春燕, 张国宏,等. 基于Sentinel-1A数据获取美国纳帕M_W6.1地震同震形变场及断层滑动反演[J]. 地震地质, 2016, 38(2):278-289.
[11] HU J, DING X L, LI Z W, et al. Vertical and horizontal displacements of Los Angeles from InSAR and GPS time series analysis: resolving tectonic and anthropogenic motions[J]. Journal of Geodynamics, 2016, 99:27-38.
[12] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience & Remote Sensing, 2002, 40(11):2375-2383.
[13] LANARI R, CASU F, MANZO M, et al. Application of the SBAS-DInSAR technique to fault creep: a case study of the Hayward fault, California[J]. Remote Sensing of Environment, 2007, 109(1):20-28.
[14] 向源君, 崔兴洁, 王冰,等. 时序DInSAR技术发展综述[J]. 地矿测绘, 2019(2):70-71.
[15] 高鑫. InSAR误差分析与图像配准、相位解缠关键技术研究[D]. 北京:中国科学院遥感应用研究所, 2003.
[16] 廖明生, 林珲, 张祖勋,等. INSAR干涉条纹图的复数空间自适应滤波[J]. 遥感学报, 2003, 7(2):98-105.