Please wait a minute...
img

官方微信

遥感技术与应用  2021, Vol. 36 Issue (4): 857-864    DOI: 10.11873/j.issn.1004-0323.2021.4.0857
遥感应用     
基于NPSI方法的西安市地裂缝灾害链地表形变监测与演化态势分析
李诗娆1(),张波1,刘国祥1,2,沙永莲1,王敏1,王晓文1,2,张瑞1,2()
1.西南交通大学 地球科学与环境工程学院,四川 成都 611756
2.高速铁路运营安全空间信息技术国家地方联合工程实验室,四川 成都 611756
Earth Fissures and Land Subsidence in Xi’an from NPSI Monitoring and Analysis
Shirao Li1(),Bo Zhang1,Guoxiang Liu1,2,Yonglian Sha1,Min Wang1,Xiaowen Wang1,2,Rui Zhang1,2()
1.Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China
2.State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety,Chengdu 611756,China
 全文: PDF(5036 KB)   HTML
摘要:

受构造背景、地下水采掘、活断层等因素的综合作用,西安市地裂缝于近年间不断加剧,引发多处不均匀地表沉降,并演化为对地表及地下建筑物均有强烈破坏作用的城市地质灾害链。为探明西安市地裂缝灾害链区域近年间的地表沉降态势、辨析不均匀沉降与地裂缝发育的联系,引入在城市地表形变监测精度和可靠性方面具有显著优势的网络化永久散射体时序雷达干涉测量(NPSI)方法,以2017年3月至2018年3月间成像的15期Sentinel-1A卫星SAR影像为数据源针对西安地区开展了时序监测分析,结合水准测量数据验证发现NPSI监测结果的精度达到 ±4.75 mm。实验结果表明:西安市地裂缝正向西南郊发育,地下水采掘及地上地下工程的建设在地裂缝发育趋势下加剧了不均匀沉降灾害,在形成地裂缝灾害链的鱼化寨、电子城、曲江新区以及地铁3号线等危害严重区域需要实时监测地裂缝发育趋势,并合理规划地下水开采及工程建设活动。相关研究结果可为路政、城建等部门的业务工作及相关研究提供参考信息。

关键词: 西安市地裂缝NPSISentinel?1A地表形变    
Abstract:

Due to the combination of tectonic background, groundwater extraction, active faults and other factors, the ground fissures in Xi'an have been intensified in recent years, causing many uneven surface subsidence. The urban geological hazard chain that has a strong destructive effect on underground buildings has attracted widespread attention from competent authorities and relevant experts. In order to infer the correlations between surface fissures and ground deformation, we use networked permanent scatterer Interferometric Synthetic Aperture Radar (NPSI) to characterize the land subsidence in Xi'an, which has significant advantages in the accuracy and reliability of urban surface deformation monitoring. In this study, we obtain 15 Sentinel-1A SAR image acquired covering the ground fissures in Xi'an between March 2017 and March 2018. Our InSAR observations were verified with leveling measurements, with an accuracy of ±4.75 mm. The results show that the ground fissures are developing in the southwestern suburbs of Xi'an. Over-withdrawal of groundwater and the construction of above-ground and underground facilities have exacerbated the trend of settlement and ground fissure development. Besides, the Yuhuazhai zones, Electicity Mall zones, Qujiang New District zones and the subway Line 3 need to monitor the development trend of ground fissures in real time, and rationally plan groundwater mining and engineering construction. This systematic research may serve as a reference for related research and for the operational departments of road administration and urban construction of the city.

Key words: Xi’an    Earth fissures    NPSI    Sentinel-1A    Ground deformation
收稿日期: 2020-01-14 出版日期: 2021-09-26
ZTFLH:  P237  
基金资助: 国家自然科学基金面上项目(41771402);国家自然科学基金青年基金(41804009);四川省科技计划面上项目(2018JY0564)
通讯作者: 张瑞     E-mail: LSR@my.swjtu.cdu.cn;zhangrui@swjtu.edu.cn
作者简介: 李诗娆(1995-),女,四川成都人,硕士研究生,主要从事微波遥感与合成孔径雷达干涉研究。E?mail:LSR@my.swjtu.cdu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
李诗娆
张波
刘国祥
沙永莲
王敏
王晓文
张瑞

引用本文:

李诗娆,张波,刘国祥,沙永莲,王敏,王晓文,张瑞. 基于NPSI方法的西安市地裂缝灾害链地表形变监测与演化态势分析[J]. 遥感技术与应用, 2021, 36(4): 857-864.

Shirao Li,Bo Zhang,Guoxiang Liu,Yonglian Sha,Min Wang,Xiaowen Wang,Rui Zhang. Earth Fissures and Land Subsidence in Xi’an from NPSI Monitoring and Analysis. Remote Sensing Technology and Application, 2021, 36(4): 857-864.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2021.4.0857        http://www.rsta.ac.cn/CN/Y2021/V36/I4/857

图1  技术路线
图2  研究区位置示意图(a) 研究区域概况 (b) 研究区域内水准点分布
图3  干涉对时空基线图
图4  DInSAR形变监测结果
图5  研究区形变速率分布图
图6  水准监测结果和NPSI监测结果对比
图7  A区域(鱼化寨)地表形变及光学影像注:(a)A形变区地表形变;(b)高层住宅区2处2017年5月光学影像;(c)高层住宅区2;(d)高层住宅区1处2017年5月光学影像;(e)天朗蓝湖树小区;(f)地裂缝
图8  地铁3号线形变量
图9  B区域地表形变及光学影像注:(a)B形变区地表形变;(b)陕西省体育训练中心2017年5月光学影像;(c)陕西省体育训练中心2018年4月光学影像;(d)电子城住宅区;(e)电子城住宅区
图10  C区域(曲江新区)地表形变及光学影像注:(a)C形变区地表形变;(b)曲江水厂附近住宅区;(c)北里王工业园;(d)东三爻村棚户区;(e)长安酒厂附近住宅区;(f)曲江水厂附近地裂缝
1 Zhao Chaoying, Zhang Qin, Zhu Wu, et al. Monitoring on Xi’an ground fissures deformation with TerraSAR-X data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(1): 81-85.
1 赵超英, 张勤, 朱武, 等. 采用TerraSAR-X数据监测西安地裂缝形变[J]. 武汉大学学报(信息科学版), 2012, 37(1): 81-85.
2 Peng Jianbing, Su Shengrui, Mi Fengshou, et al. Active Faults and geological disasters in the Weihe basin[M]. Xi'an: Northwest University Press, 1992.彭建兵, 苏生瑞, 米丰收, 等. 渭河盆地活动断裂与地质灾害[M]. 西安:西北大学出版社, 1992.
3 Song Yanhui, Li Zhongsheng, Li Xinsheng, et al. Characteristics of ground fissures located at Lintong-Chang'an fault zone[J]. The Science Journal of Geological Hazard and Control, 2012, 23(2): 50-54.
3 宋彦辉,李忠生,李新生,等. 临潼—长安断裂带内地裂缝特征[J]. 中国地质灾害与防治学报, 2012, 23(2): 50-54.
4 Rott H. Advances in interferometric synthetic aperture radar (InSAR) in earth system science[J]. Progress in Physical Geography, 2009, 33(6): 769-791.
5 Ouchi K. Recent trend and advance of synthetic aperture radar with selected topics[J]. Remote Sensing, 2013, 5(2): 716-807. DOI: 10.3390/rs5020716.
doi: 10.3390/rs5020716
6 Ferretti A, Prati C, Rocca F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212. DOI: 10.1109/36.868878.
doi: 10.1109/36.868878
7 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.
doi: 10.1109/36.898661
8 Berardino P, Fornaro G, Lanari R. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383. DOI: 10.1109/TGRS.2002. 803792.
doi: 10.1109/TGRS.2002. 803792
9 Hooper A, Zebker H, Segall P, et al. A New method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J]. Geophysical Research Letters,2004,31(23):1-5. DOI:10.1029/2004GL021737.
doi: 10.1029/2004GL021737
10 Werner C, Wegmuller U, Strozzi T, et al. Interferometric point target analysis for deformation mapping[C]∥ Proceedings International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003.
11 Werner C, Wegmuller U, Wiesmann A, et al. Interferometric point target analysis with JERS-1 lband SAR data[C]∥ Proceedings International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003.
12 Ferretti A, Fumagalli A, Novali F, et al. A new algorithm for processing interferometric data-stacks: Squee SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011,49(9):3460-3470. DOI:10.1109/TGRS.2011. 2124465.
doi: 10.1109/TGRS.2011. 2124465
13 Liu G X, Luo X J, Chen Q, et al. Detecting land subsidence in Shanghai by PS-networking SAR interferometry[J]. Sensors, 2008,8(8):4725-4741. DOI:10.3390/s8084725.
doi: 10.3390/s8084725
14 Liu G X, Buckley S M, Ding X L. Estimation spatiotemporal ground deformation with improved persistent-scatterer radar interferometric[J]. IEEE Transactions on Geoscience and Remote Sensing,2009,47(9):3209-3219. DOI:10.1109/TGRS. 2009.2028797.
doi: 10.1109/TGRS. 2009.2028797
15 Zhang R, Liu G X, Tao L. An integrated model for extracting surface deformation components by PSI time series[J]. IEEE Geoscience and Remote Sensing Letters, 2014,11(2):544-548. DOI: 10.1109/LGRS.2013. 2274474
doi: 10.1109/LGRS.2013. 2274474
16 Liu Guoxiang. InSAR principles and applications [M]. Beijing:Science Press, 2019.
16 刘国祥. InSAR原理与应用[M]. 北京: 科学出版社, 2019.
17 Liu Guoxiang. Permanent scatterer radar interference theory and method[M]. Beijing:Science Press, 2012.
17 刘国祥. 永久散射体雷达干涉理论与方法[M]. 北京:科学出版社, 2012.
18 Shen Hongyan, Fu Shanchun, Li Shicheng, et al. Analysis of Xi'an ground fissure formation mechanism and disaster control measures[J]. Journal of Anyang Institute of Technology, 2018, 17(4): 83-87.
18 沈红艳, 付善春, 李世成,等. 西安地裂缝成因机理及灾害防治措施分析[J]. 安阳工学院学报, 2018, 17(4): 83-87.
19 Zhang Yanmei, Wang Ping, Luo Xiang, et al. Monitoring Xi’an land subsidence using Sentinel-1 images and SBAS-In SAR technology[J]. Bulletin of Surveying and Mapping, 2017(4): 93-97.
19 张艳梅, 王萍, 罗想, 等. 利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J].测绘通报, 2017(4): 93-97.
20 Peng Mimi, Zhao Chaoying, Zhang Qin, et al. Monitoring Xi'an land subsidence during 2015~2017 using Sentinel-1A images[J]. Progress in Geophysics,2018,33(6):2264-2269.
20 彭米米, 赵超英, 张勤, 等. 利用Sentinel-1A数据监测大西安2015~2017年地面沉降[J]. 地球物理学进展, 2018, 33(6): 2264-2269.
21 Zhang Jianjun, Zhang Hexin, Zhang Maosheng, et al. Da preliminary study of land subsidence in the F4 ground fissure, Yuhuazhai area, Xi'an, China[J]. Journal of Geological Hazards and Environment Preservation,2017,28(4):31-37.
21 张建军,张鹤馨,张茂省,等.西安鱼化寨F4地裂缝地面沉降初步研究[J].地质灾害与环境保护,2017,28(4):31-37.
22 Zhang Jianjun Zhang Hexin, Zhang Maosheng, et al. Study on the seepage deformation induce ground fissures and land subsidence in Xi'an[J]. Journal of Engineering Geology, 2018, 26(Sup.1): 301-309.
22 张建军, 张鹤馨, 张茂省, 等.渗透变形引起的西安地面沉降地裂缝研究初探[J]. 工程地质学报, 2018, 26(): 301-309.
[1] 安炳琪,罗海滨,丁海勇,张志山,王伟,史潇,柯福阳,王明明. 基于SBAS-InSAR技术的西宁地表形变监测[J]. 遥感技术与应用, 2021, 36(4): 838-846.
[2] 张齐民,郑一桐,张露,李治国,闫世勇. 基于时序像素跟踪算法的南伊内里切克冰川运动提取与特征分析[J]. 遥感技术与应用, 2020, 35(6): 1273-1282.
[3] 魏聪敏,葛伟鹏,邵延秀,吴东霖. 利用Sentinel-1A合成孔径雷达干涉时间序列监测陇东地区地面沉降变形[J]. 遥感技术与应用, 2020, 35(4): 864-872.
[4] 史姝姝,匡文慧,董斯齐. 21世纪以来西安城乡梯度土地覆盖变化及对城市热岛影响时空特征[J]. 遥感技术与应用, 2020, 35(3): 537-547.
[5] 卢旺达,韩春明,岳昔娟,赵迎辉,周格仪. 基于Sentinel-1A数据的天津地区PS-InSAR地面沉降监测与分析[J]. 遥感技术与应用, 2020, 35(2): 416-423.
[6] 高宁, 盖迎春, 宋晓谕. 基于夜间灯光数据的西安市城市扩张及驱动因素研究[J]. 遥感技术与应用, 2019, 34(1): 207-215.
[7] 李丹, 杨斌, 陈财. 基于Sentinel-1A数据反演九寨沟地震地表形变场[J]. 遥感技术与应用, 2018, 33(6): 1141-1148.
[8] 朱叶飞,朱锦旗,詹雅婷,崔艳梅. 基于小基线InSAR技术监测九台营城矿区2012年地表形变[J]. 遥感技术与应用, 2015, 30(2): 370-375.
[9] 陶利,张红,王超,汤益先. 新型多基线DInSAR地表形变监测技术研究动态[J]. 遥感技术与应用, 2012, 27(6): 805-811.
[10] 冯晓刚, 李 锐, 莫宏伟. 基于RS和GIS的城市扩展及驱动力研究—以西安市为例[J]. 遥感技术与应用, 2010, 25(2): 202-208.
[11] 杨勇,任志远. 基于GIS的西安市城镇建设用地扩展研究[J]. 遥感技术与应用, 2009, 24(1): 46-51.
[12] 霍艳杰,卫海燕,薛亮,王威. 基于遥感和GIS的西安市土地利用时空变化研究[J]. 遥感技术与应用, 2008, 23(6): 672-676.
[13] 罗海滨, 何秀凤. 应用InSAR 与GPS 集成技术监测地表形变探讨[J]. 遥感技术与应用, 2006, 21(6): 493-496.