Monitoring and analysis of surface subsidence in Beijing by time series InSAR

doi:10.13474/j.cnki.11-2246.2022.0276

Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (9): 123-128.doi: 10.13474/j.cnki.11-2246.2022.0276

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Monitoring and analysis of surface subsidence in Beijing by time series InSAR

GONG Gaotai¹, LI Jiahao², ZHOU Lü^2,3, LIU Zhirong¹, HUANG Liangke^2,3, LIU Lilong^2,3

1. Instiute of Geological Surveying and Mapping of Hunan Province, Hengyang 421001, China;
2. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
3. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China

Received:2021-12-14 Published:2022-09-30

Abstract

Abstract: Aiming at the phenomenon of surface settlement in Beijing, this paper uses the time series InSAR method to obtain the settlement rate field and cumulative settlement field during 2018—2020, and selects two subway lines in characteristic areas and different spatial spans for specific settlement analysis. The results show that: ①The phenomenon of uneven settlement in Beijing is obvious, which generally presents the spatial distribution characteristics of uplift in the west and settlement in the east.②There are three obvious settlement funnels, and the maximum cumulative settlement is -218.5 mm.③There are Jinzhan settlement funnel and Dougezhuang settlement funnel in Chaoyang district, and both settlement funnels show an expanding trend in the time span of this study.④There are different degrees of subsidence and uplift in metro lines 5 and 6. The subsidence phenomenon is related to the overexploitation of groundwater and underground space, and the regional uplift phenomenon is related to the supplement of groundwater by the South-to-North Water Transfer Project.

Key words: Beijing area, time series InSAR, settlement funnel, subway settlement

CLC Number:

P237

GONG Gaotai, LI Jiahao, ZHOU Lü, LIU Zhirong, HUANG Liangke, LIU Lilong. Monitoring and analysis of surface subsidence in Beijing by time series InSAR[J]. Bulletin of Surveying and Mapping, 2022, 0(9): 123-128.

References

[1] 李海君,张耀文,谷洪彪,等.基于PS-InSAR技术的廊坊北部地区地面沉降监测研究[J].大地测量与地球动力学,2018,38(11):1122-1127.
[2] 周朝栋,宮辉力,张有全,等.基于PS-InSAR和GIS的北京平原区建筑荷载对地面沉降的影响[J].地球信息科学学报,2016,18(11):1551-1562.
[3] 李达,邓喀中,高晓雄,等.基于SBAS-InSAR的矿区地表沉降监测与分析[J].武汉大学学报(信息科学版),2018,43(10):1531-1537.
[4] 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.
[5] 周吕,文学霖,杨飞,等.基于MTInSAR分析的廊坊市地面沉降时空特征研究[J].水力发电,2019,45(10):38-43.
[6] 李曼,葛大庆,张玲,等.基于PSInSAR技术的曹妃甸新区地面沉降发育特征及其影响因素分析[J].国土资源遥感,2016,28(4):119-126.
[7] 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.
[8] 袁悦,贾丽云,张绪教,等.基于SBAS-InSAR技术的海口地区地面沉降监测及机理分析[J].地理与地理信息科学,2020,36(5):56-64.
[9] 廖明生,裴媛媛,王寒梅,等.永久散射体雷达干涉技术监测上海地面沉降[J].上海国土资源,2012,33(3):5-10.
[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.
[11] 周吕,李佳豪,王成,等.基于时序InSAR的上海地区2018-2020地铁沿线沉降监测分析[J].大地测量与地球动力学,2021,41(11):1177-1182.
[12] 周吕,郭际明,李昕,等.基于SBAS-InSAR的北京地区地表沉降监测与分析[J].大地测量与地球动力学,2016,36(9):793-797.
[13] 周朝栋,宮辉力,张有全,等.北京平原区地面沉降PS-InSAR监测[J].遥感信息,2017,32(1):17-22.
[14] 刘凯斯,宫辉力,陈蓓蓓.基于地面沉降监测的地铁运营危险性评价:以北京地铁6号线为例[J].地理与地理信息科学,2018,34(3):68-73.

Monitoring and analysis of surface subsidence in Beijing by time series InSAR

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