采用时序InSAR技术监测北京地铁网络沿线地面沉降

doi:10.12082/dqxxkx.2018.180322

地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (12): 1810-1819.doi: 10.12082/dqxxkx.2018.180322

采用时序InSAR技术监测北京地铁网络沿线地面沉降

祝秀星(), 陈蜜^*(), 宫辉力, 李小娟, 余洁, 朱琳, 周玉营, 李昱

1. 首都师范大学水资源安全北京实验室,北京 100048; 2. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048; 3. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地,北京 100048

收稿日期:2018-07-09 出版日期:2018-12-25 发布日期:2018-12-20
通讯作者: 陈蜜 E-mail:1491581535@qq.com;mierc@163.com
作者简介:
作者简介：祝秀星（1994-）,女,硕士生,研究方向为InSAR形变监测。E-mail: 1491581535@qq.com
基金资助:
国家重点研发计划项目（2017YFB0503803）;国家自然科学基金项目(41201419、41671417）;科技创新服务能力建设-基本科研业务费（科研类）（025185305000/191）

The Subsidence Monitoring along Beijing Subway Network Based on MT-InSAR

ZHU Xiuxing(), CHEN Mi^*(), GONG Huili, LI Xiaojuan, YU Jie, ZHU Lin, ZHOU Yuying, LI Yu

1. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; 2. MOE Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China; 3. Base of State Key Lab of Urban Environmental Processes and Digital Modeling, Capital Normal University, Beijing 100048, China

Received:2018-07-09 Online:2018-12-25 Published:2018-12-20
Contact: CHEN Mi E-mail:1491581535@qq.com;mierc@163.com
Supported by:
National Key Research and Development Program of China, No.2017YFB0503803;National Natural Science Foundation of China, No.41201419, 41671417;Capacity Building for Sci-Tech Innovation - Fundamental Scientific Research Funds, No.025185305000/191.

摘要/Abstract

摘要：

随着北京轨道交通的日益完善,地铁成为人们日常出行的重要交通工具,监测和治理地铁工程沿线地面沉降成为保障线性工程正常运营的一项重要基础性工作。本文基于55景覆盖北京地区的3 m高分辨率TerraSAR-X数据,采用时序InSAR分析技术获取2010年4月至2016年12月地铁网络沿线的地面沉降形变信息,系统分析了北京地铁网络沿线地面沉降时空演变规律。同时,结合Peck公式将InSAR监测结果进行建模,以7号线磁器口-广渠门内站区段为例,估算地面沉降槽的空间发展特征。研究发现：北京市地铁线路沿线表现出不同程度的形变,形变严重的路段主要集中在东部及东北部区域,最大沉降速率超过了100 mm/a;相对于其他线路,4号、10线整体情况比较稳定,14号、亦庄线次之,6号、7号线不均匀沉降最为严重;此外,地铁在不同建设时期路段表现出不同的形变特征,施工期路段较运营期沉降严重;7号线磁器口与广渠门内站间沉降槽的宽度和最大值沉降值在2010-2016年呈现增加趋势,沉降槽最大宽度约达180 m。

关键词: 时序InSAR技术, 地面沉降, 地铁网络, Peck公式, 沉降槽

Abstract:

With the improvement of Beijing rail transportation, the subway has become an important transportation for people's daily travel. Monitoring and controlling land subsidence along metro line become an important basic work to ensure the normal operation of linear engineering. Based on 55 images of the 3m high-resolution TerraSAR-X data covering Beijing, this paper used multi-temporal InSAR analysis technology to obtain the ground settlement deformation information along the subway network from April 2010 to December 2016, and analyzed the spatial-temporal evolution of the ground settlement along the Beijing subway network. The spatial-temporal ground subsidence related to the construction of subway tunnels is usually modeled by peck formula in the space domain, which is used to calculate the ground surface settlement and determine the maximum settlement value of the settlement trough curve and the settlement trough width. Taking Ciqikou-Guangqumen station section as an example, the InSAR results were modeled by Peck formula, we estimated the spatial development characteristics of the ground subsidence trough. The results show that there are different degrees of the deformation along Beijing subway line, and the serious deformation is mainly concentrated in the eastern and northeastern regions, annual maximum subsidence rate greater than 100mm/a. Compared with other lines, the overall situation of lines 4 and 10 is relatively stable, followed by lines 14 and Yizhuang, and the uneven settlement of lines 6 and 7 is the most serious. In addition, the road sections show different deformation characteristics in different construction periods, and the settlement of the construction period is more serious than that of the operation period. The width and maximum settlement value of the settlement trough between Ciqikou and Guangqumen station (line 7) show an increasing trend from 2010 to 2016, the maximum settlement trough width reaches about 180 m.

Key words: Multi-temporal InSAR method, land subsidence, subway network, Peck's formula, the settlement trough

祝秀星, 陈蜜, 宫辉力, 李小娟, 余洁, 朱琳, 周玉营, 李昱. 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.DOI:10.12082/dqxxkx.2018.180322

ZHU Xiuxing,CHEN Mi,GONG Huili,LI Xiaojuan,YU Jie,ZHU Lin,ZHOU Yuying,LI Yu. The Subsidence Monitoring along Beijing Subway Network Based on MT-InSAR[J]. Journal of Geo-information Science, 2018, 20(12): 1810-1819.DOI:10.12082/dqxxkx.2018.180322

图/表 18

图1

图2

图3

图4

表1

图5

图6

图7

图8

图9

图10

图11

图12

图13

图14

图15

图16

表2

参考文献 20

[1]	邱冬炜,杨松林.城市地铁施工监测系统的探讨[J].测绘科学,2007,32(4):175-176.
	[ Qin D W, Yang S L.The deformation monitoring and analysis for existing subway tunnel under the influence of traversing engineering[J]. Science of Surveying and Mapping, 2007,32(4):175-176. ]
[2]	秦长利. 地面沉降对轨道交通的影响和应对措施[J].都市快轨交通,2010,23(5):72-74.
	[ Qin C L.Impact of surface subsidence on urban rail transit and countermeasures[J]. Urban Rapid Rail Transit, 2010,23(5):72-74. ]
[3]	缪林昌,王非,吕伟华.城市地铁隧道施工引起的地面沉降[J].东南大学学报(自然科学版),2008,38(2):293-297. doi: 10.3321/j.issn:1001-0505.2008.02.022
	[ Miao L C, Wang F, Lv W H.Ground surface settlement due to urban tunnel construction[J]. Journal of Southeast University (Natural Science Edition), 2008,28(2):293-297. ] doi: 10.3321/j.issn:1001-0505.2008.02.022
[4]	丛恩伟. 北京地铁盾构法施工引起地表沉降的分析与预测研究[D].天津:天津大学,2004.
	[ Cong E W.Study of ground surface settlement cause by shied tunneling in Beijing[D]. Tianjin: Journal of Tianjin University(Science and Technology), 2004. ]
[5]	韩英楠.大郊亭再现路面坍塌[N].北京晨报,2014-04-05(04).
	[ Han Y N. Dajiaoting reproduces road collapse[N]. Beijing morning post,2014-04-05(04). ]
[6]	陈斯.大坑填平,10公交线绕行[N].法制晚报,2014-09-07(11).
	[ Chen S. Pit filled, 10 bus lines bypass[N]. Legal Evening News, 2014-09-07(11). ]
[7]	贾洪果. 高分辨率永久散射体雷达干涉及其应用高速铁路沉降监测[D].西安:西南交通大学,2012.
	[ Jia H G.High-resolusion persistent scatterer radar interferometry and ITS application to monitoring subsidence of high speed railway [D]. Xi'an: Journal ofSouthwest Jiaotong University, 2012. ]
[8]	葛大庆,张玲,王艳,等.上海地铁10号线建设与运营过程中地面沉降效应的高分辨率InSAR监测及分析[J].上海国土资源,2014,35(4):62-67. doi: 10.3969/j.issn.2095-1329.2014.04.014
	[ Geng D Q, Zhang L, Wang Y, et al.Monitoring subsidence on Shanghai metro line 10 during construction and operation using high-resolution InSAR[J]. Shanghai Land and Resources, 2014,35(4): 62-67. ] doi: 10.3969/j.issn.2095-1329.2014.04.014
[9]	Osmanoğlu B, Dixon T H, Wdowinski S, et al.Mexico City subsidence observed with persistent scatterer InSAR[J]. International Journal of Applied Earth Observations & Geoinformation, 2011,13(1):1-12. doi: 10.1016/j.jag.2010.05.009
[10]	Heleno S I, Oliveira L G, Henriques M J, et al.Persistent scatterers interferometry detects and measures ground subsidence in Lisbon[J]. Remote Sensing of Environment, 2011,115(8):2152-2167. doi: 10.1016/j.rse.2011.04.021
[11]	Jiang L M, Lin H, Xiang B Q.Detection of rapid land subsidence of civil constructions with TerraSAR-X interferometry[J]. International Geoscience & Remote Sensing Symposium, 2010:3510-3513. doi: 10.1109/IGARSS.2010.5652213
[12]	Wang H Q, Feng G C, Xu B, et al.Deriving spatio-temporal development of ground subsidence due to subway construction and operation in delta regions with PS-InSAR data: A case study in Guangzhou, China[J]. Remote Sensing, 2017,9(10):1004. doi: 10.3390/rs9101004
[13]	杨艳. 北京地面沉降InSAR监测效果分析[J].上海国土资源,2013,34(4):21-24. doi: 10.3969/j.issn.2095-1329.2013.04.006
	[ Yang Y.Effectiveness of InSAR monitoring of land subsidence in Beijing[J]. Shanghai Land and Resources, 2013,34(4):21-24. ] doi: 10.3969/j.issn.2095-1329.2013.04.006
[14]	贾煦,宫辉力,陈蓓蓓,等.不均匀地面沉降对北京地铁15号线运营的影响分析[J].遥感信息,2014(6):58-63. doi: 10.3969/j.issn.1000-3177.2014.06.012
	[ Jia X, Gong H L, Chen B B.Impact of uneven land subsidence on operation of Beijing subway line 15[J]. Remote Sensing Information, 2014(6):58-63. ] doi: 10.3969/j.issn.1000-3177.2014.06.012
[15]	刘凯斯,宫辉力,陈蓓蓓.基于InSAR数据的北京地铁6号线地面沉降监测分析[J].地球信息科学学报, 2018,20(1):128-137.
	[ Liu K S, Gong H L, Chen B B.Monitoring and analysis of land subsidence of Beijing metro line 6 based on InSAR data[J]. Journal of Geo-information Science , 2018,20(1):128-137. ]
[16]	Ferretti A, Prati C, Rocca F.Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001,39(1):8-20. doi: 10.1109/36.898661
[17]	秦晓琼,杨梦诗,王寒梅,等.高分辨率PS-InSAR在轨道交通形变特征探测中的应用[J].测绘学报,2016,45(6):713-721. doi: 10.11947/j.AGCS.2016.20150440
	[ Qin X Q, Yang M S, Wang H M, er al. 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
[18]	白书建. InSAR技术在地铁沿线形变监测中的应用研究[D].北京:中国地质大学(北京),2017.
	[ Bai S J.Application of InSAR technology in deformation monitoring along subway[D]. Beijing: China University of Geosciences (Beijing), 2017. ]
[19]	Peck R B.Deep excavations and tunnelling in soft ground[C]. Proceeding of the 7th International Conference on Soil Mechanics and Foundation Engineering, Mexico City, 1969:225-290.
[20]	O'Reilly M P, New B M. Settlement above tunnels in the United Kingdom-their magnitude and prediction[C]. Proceedings of Tunnelling 82, London IMM, 1982:173-181.

序号	InSAR沉降速率	水准沉降速率	差值
1	0.56	0.68	-0.12
2	-4.81	-7.49	2.68
3	-36.74	-39.60	2.86
4	-10.86	-12.10	1.24
5	-49.51	-50.20	0.69

时间	S_max/mm	i/m
2010-11-19	-4.46	42.93
2011-06-27	-7.58	67.90
2011-12-20	-14.28	134.70
2012-06-02	-16.65	137.80
2012-11-14	-18.02	146.50
2013-05-31	-22.93	147.45
2013-12-26	-27.53	167.55
2014-06-09	-29.79	160.85
2014-12-13	-35.25	167.75
2015-06-29	-36.01	172.85
2015-12-11	-47.39	173.60
2016-11-16	-41.82	179.80

采用时序InSAR技术监测北京地铁网络沿线地面沉降

The Subsidence Monitoring along Beijing Subway Network Based on MT-InSAR

RichHTML

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 18

参考文献 20

相关文章 8

Metrics

本文评价

推荐阅读 0

[1]	刘凯斯, 宫辉力, 陈蓓蓓. 基于InSAR数据的北京地铁6号线地面沉降监测分析[J]. 地球信息科学学报, 2018, 20(1): 128-137.
[2]	周超凡, 宫辉力, 陈蓓蓓, 郭琳, 高明亮. 北京地面沉降时空分布特征研究[J]. 地球信息科学学报, 2017, 19(2): 205-215.
[3]	周玉营, 陈蜜, 宫辉力, 李小娟, 余洁, 祝秀星. 基于时序InSAR的京津高铁北京段地面沉降监测[J]. 地球信息科学学报, 2017, 19(10): 1393-1403.
[4]	周朝栋, 宮辉力, 张有全, 段光耀. 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.
[5]	朱猛, 董少春, 尹宏伟, 黄璐璐. 基于SBAS InSAR方法的苏州地区2007-2010年地表形变时空变化研究[J]. 地球信息科学学报, 2016, 18(10): 1418-1427.
[6]	张雯, 宫辉力, 陈蓓蓓, 段光耀. 北京典型区地面沉降演化特征与成因分析[J]. 地球信息科学学报, 2015, 17(8): 909-916.
[7]	熊思婷, 曾琪明, 焦健, 章晓洁. 邻轨PS-InSAR地面沉降结果拼接处理方法与实验[J]. 地球信息科学学报, 2014, 16(5): 797-805.
[8]	常占强, 宫辉力. 矿区地面沉降预计方法与应用前景分析[J]. 地球信息科学学报, 2011, 13(2): 151-156.