SBAS-InSAR技术在西藏江达县金沙江流域典型巨型滑坡变形监测中的应用

杨成业; 张涛; 高贵; 卜崇阳; 吴华

doi:10.16031/j.cnki.issn.1003-8035.2022.03-11

SBAS-InSAR技术在西藏江达县金沙江流域典型巨型滑坡变形监测中的应用

1.
西藏大学工学院, 西藏拉萨　850000

2.
西南交通大学地球科学与环境工程学院, 四川成都　611756

基金项目: 西藏大学培育基金项目（ZDCZJH19-05）；西藏自治区自然科学基金项目（XZ2019ZRG-11（Z））；西藏自治区自然科学基金项目（XZ202001ZR0062G）；湖南省重点领域研发技术−社会发展领域重点项目（2019SK2173）；中央引导地方项目（XZ202001YD0004C）；中央支持地方高校改革发展资金项目（20201号）；武汉理工大学−西藏大学创新基金项目（LZT2022003）

详细信息

作者简介: 杨成业（1990-），男，河南镇平人，硕士研究生，主要从事地质资源与地质工程方向的研究。E-mail：1209097754@qq.com

通讯作者: 张　涛（1995-），男，河南台前人，硕士研究生，主要从事SAR目标监测研究。E-mail：ZTSWJTU@outlook.com

中图分类号: P642.22

收稿日期: 2021-12-09

修回日期: 2022-04-06

刊出日期: 2022-06-25

Application of SBAS-InSAR technology in monitoring of ground deformation of representative giant landslides in Jinsha river basin, Jiangda County, Tibet

1.
College of Engineering, Tibet University, Lhasa, Tibet　850000, China

2.
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan　611756, China

More Information

Corresponding author: ZHANG Tao, ZTSWJTU@outlook.com

Received Date: 09 December 2021

Revised Date: 06 April 2022

Publish Date: 25 June 2022

摘要

摘要:
滑坡是一种破坏力极强的地质灾害，对滑坡易发区域进行长期有效的时序形变监测是研究机理和防灾减灾的重要途径，小基线雷达干涉测量技术（SBAS-InSAR）在滑坡等地质灾害形变监测中的应用为当前地灾防治提供了新的手段。文章使用SBAS-InSAR技术对西藏江达县金沙江流域发生的典型滑坡灾害进行了时序形变特征分析。首先，基于2017年7月—2018年12月的23景Sentinel-1A影像数据，获取了江达县东部及其周边区域在时间跨度内的形变分布图以及时序形变特征；在此基础上，结合区域内沃达和白格2处滑坡的实地勘探资料和现有研究成果验证了形变探测结果的准确性；另监测数据显示沃达滑坡中部及前缘位置存在明显形变，且部分位置的形变量超过100 mm，白格滑坡的残留体同样存在较大的形变，尤其是边界区域存在明显的形变漏斗，最大形变量超过110 mm。同时在金沙江流域西岸存在2处滑坡隐患区域，累计沉降量均超过45 mm，最大形变速率分别为−53 mm/a和−45 mm/a。基于数据分析和现场勘查，表明SBAS-InSAR技术在滑坡灾害的形变监测方面是一种有效手段，另江达县金沙江多处岸坡在不断发生形变，应进一步加强该区域地质灾害形变监测，必要时提前开展防治工作。
- 滑坡 /
- SBAS-InSAR /
- 形变监测
Abstract:
Landslide is a kind of natural geological disaster with strong destructive power, long-term effective time-series deformation monitoring of landslide prone areas is an important way to prevent and mitigate disasters, and the application of time-series radar interferometry technology in geological disaster deformation monitoring such as landslide provides a new effective means for current geological disaster prevention and control. This paper uses SBAS-InSAR technology to analyze the time-series deformation characteristics of the representative giant landslides in the areas of Jinsha river basin in Jiangda country, Tibet. Firstly, based on the 23 sentinel-1A images from July 2017 to December 2018, the deformation distribution map and temporal deformation characteristics of eastern Jiangda County and its surrounding areas in the time span were obtained; on this basis, the accuracy of the deformation detection results of this paper were verified by combining the field exploration data of two paleolandslide in the region and the existing research results; finally, the deformation detection results of two landslides show that there were resurrection areas in the middle and front edge of the Woda landslide, and the deformation in some locations exceeded 100 mm, and the residual bodies in the Baige landslide also had large deformation, especially there was an obvious deformation funnel in the boundary area, and the maximum deformation exceeded 110 mm. Meanwhile, there are two potential landslide areas on the west bank of the Jinsha river basin, the cumulative settlement exceeds 45 mm, and the maximum deformation rates are −53 mm/a and −45 mm/a, respectively.Based on data analysis and field investigation, SBAS-InSAR technology provide an effective mean for monitoring and preventing the deformation of landslides geological hazards. In addition, many bank slopes of Jinsha river in Jiangda County are constantly deformed. It is necessary to strengthen the monitoring of local disaster and carry out prevention and control work in advance.
- landslide /
- SBAS-InSAR /
- deformation monitoring

HTML全文

图 1 SBAS-InSAR技术处理流程

Figure 1.

下载: 全尺寸图片幻灯片

图 2 研究区范围

Figure 2.

下载: 全尺寸图片幻灯片

图 3 干涉对以及基线连接图

Figure 3.

下载: 全尺寸图片幻灯片

图 4 沃达村和白格村滑坡区域的相干点分布

Figure 4.

下载: 全尺寸图片幻灯片

图 5 白格滑坡与沃达滑坡区域地表覆盖特征

Figure 5.

下载: 全尺寸图片幻灯片

图 6 研究区的整体形变分布结果

Figure 6.

下载: 全尺寸图片幻灯片

图 7 沃达滑坡形变速率图及现场照片

Figure 7.

下载: 全尺寸图片幻灯片

图 8 白格滑坡形变速率图及现场照片

Figure 8.

下载: 全尺寸图片幻灯片

图 9 白格与沃达滑坡形变特征和区域内月降水量

Figure 9.

下载: 全尺寸图片幻灯片

图 10 滑坡隐患区域A、B时序形变

Figure 10.

下载: 全尺寸图片幻灯片

表 1 Sentinel-1A数据集

Table 1. Sentinel-1A data set

序号	成像时间	时间基线/d	空间基线/m
1	2017-07-04	−96	−76.3019
2	2017-07-28	−72	−14.389
3	2017-08-21	−48	−40.7962
4	2017-09-14	−24	−6.9448
5	2017-10-08	0	0
6	2017-11-01	24	24.3437
7	2017-11-25	48	−19.665
8	2017-12-19	72	40.3736
9	2018-01-12	96	−6.72568
10	2018-02-05	120	−8.33992
11	2018-03-01	144	41.6516
12	2018-03-25	168	−122.65
13	2018-04-18	192	−116.634
14	2018-05-12	216	39.3469
15	2018-06-05	240	−128.818
16	2018-06-29	264	−29.1712
17	2018-07-23	288	−39.5201
18	2018-08-16	312	−70.3451
19	2018-09-21	348	−17.7032
20	2018-10-15	372	8.636.3
21	2018-11-08	396	31.0979
22	2018-12-02	420	−9.71988
23	2018-12-26	444	40.6537

下载: 导出CSV

参考文献(26)

[1]	朱庆, 曾浩炜, 丁雨淋, 等. 重大滑坡隐患分析方法综述[J]. 测绘学报,2019,48(12):1551 − 1561. [ZHU Qing, ZENG Haowei, DING Yulin, et al. A review of major potential landslide hazards analysis[J]. Acta Geodaetica et Cartographica Sinica,2019,48(12):1551 − 1561. (in Chinese with English abstract) ZHU Qing, ZENG Haowei, DING Yulin, et al. A review of major potential landslide hazards analysis[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1551-1561. (in Chinese with English abstract)
[2]	张拴宏, 纪占胜. 合成孔径雷达干涉测量(InSAR)在地面形变监测中的应用[J]. 中国地质灾害与防治学报,2004,15(1):112 − 117. [ZHANG Shuanhong, JI Zhansheng. A review on the application of interferometric synthetic aperture radar on surface deformation monitoring[J]. The Chinese Journal of Geological Hazard and Control,2004,15(1):112 − 117. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2004.01.024 ZHANG Shuanhong, JI Zhansheng. A review on the application of Interferometric Synthetic Aperture Radar on surface deformation monitoring[J]. The Chinese Journal of Geological Hazard and Control, 2004, 15(1): 112-117, 128. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2004.01.024
[3]	程滔, 单新建, 董文彤, 等. 利用InSAR技术研究黄土地区滑坡分布[J]. 水文地质工程地质,2008,35(1):98 − 101. [CHENG Tao, SHAN Xinjian, DONG Wentong, et al. A study of landslide distribution in loess area with InSAR[J]. Hydrogeology & Engineering Geology,2008,35(1):98 − 101. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2008.01.022 CHENG Tao, SHAN Xinjian, DONG Wentong, et al. A study of landslide distribution in loess area with InSAR[J]. Hydrogeology & Engineering Geology, 2008, 35(1): 98-101. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-3665.2008.01.022
[4]	刘穗君. 基于SAR影像强度与相干系数的滑坡提取研究—以“6·24”茂县新磨村滑坡为例[D]. 成都: 西南交通大学, 2019 LIU Suijun. Landslide extraction from SAR image intensity and coherence coefficient: A case study of “6·24” Xinmo Village landslide in Mao County[D]. Chengdu: Southwest Jiaotong University, 2019. (in Chinese with English abstract)
[5]	MADSEN S N, ZEBKER H A, MARTIN J. Topographic mapping using radar interferometry: processing techniques[J]. IEEE Transactions on Geoscience and Remote Sensing,1993,31(1):246 − 256. doi: 10.1109/36.210464
[6]	邓云凯, 禹卫东, 张衡, 等. 未来星载SAR技术发展趋势[J]. 雷达学报,2020,9(1):1 − 33. [DENG Yunkai, YU Weidong, ZHANG Heng, et al. Forthcoming spaceborne SAR development[J]. Journal of Radars,2020,9(1):1 − 33. (in Chinese with English abstract) doi: 10.12000/JR20008 DENG Yunkai, YU Weidong, ZHANG Heng, et al. Forthcoming spaceborne SAR development[J]. Journal of Radars, 2020, 9(1): 1-33. (in Chinese with English abstract) doi: 10.12000/JR20008
[7]	云烨, 吕孝雷, 付希凯, 等. 星载InSAR技术在地质灾害监测领域的应用[J]. 雷达学报,2020,9(1):73 − 85. [YUN Ye, LYU Xiaolei, FU Xikai, et al. Application of spaceborne interferometric synthetic aperture radar to geohazard monitoring[J]. Journal of Radars,2020,9(1):73 − 85. (in Chinese with English abstract) doi: 10.12000/JR20007 YUN Ye, LÜ Xiaolei, FU Xikai, et al. Application of spaceborne interferometric synthetic aperture radar to geohazard monitoring[J]. Journal of Radars, 2020, 9(1): 73-85. (in Chinese with English abstract) doi: 10.12000/JR20007
[8]	黄其欢, 何秀凤. 合成孔径雷达差分干涉测量在地震形变监测中的应用[J]. 中国地质灾害与防治学报,2007,18(1):149 − 151. [HUANG Qihuan, HE Xiufeng. Application of synthetic aperture radar differential interferometry in seismic deformation monitoring[J]. The Chinese Journal of Geological Hazard and Control,2007,18(1):149 − 151. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2007.01.034 HUANG Qihuan, HE Xiufeng. Application of synthetic aperture radar differential interferometry in seismic deformation monitoring [J]. The Chinese Journal of Geological Hazard and Control, 2007, 18(1): 149-151. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2007.01.034
[9]	李振洪, 宋闯, 余琛, 等. 卫星雷达遥感在滑坡灾害探测和监测中的应用—挑战与对策[J]. 武汉大学学报(信息科学版),2019,44(7):967 − 979. [LI Zhenhong, SONG Chuang, YU Chen, et al. Application of satellite radar remote sensing to landslide detection and monitoring: Challenges and solutions[J]. Geomatics and Information Science of Wuhan University,2019,44(7):967 − 979. (in Chinese with English abstract) LI Zhenhong, SONG Chuang, YU Chen, et al. Application of satellite radar remote sensing to landslide detection and monitoring: challenges and solutions[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 967-979. (in Chinese with English abstract)
[10]	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. [WANG Xiaying, ZHAO Chaoying, YIN Huifang. Review: deformation time series method with InSAR techniques[J]. Progress in Geophysics,2018,33(4):1430 − 1437. (in Chinese with English abstract) doi: 10.6038/pg2018BB0278 WANG Xiaying, ZHAO Chaoying, YIN Huifang. Review: deformation time series method with InSAR techniques[J]. Progress in Geophysics, 2018, 33(4): 1430-1437. (in Chinese with English abstract) doi: 10.6038/pg2018BB0278
[11]	张永红, 吴宏安, 孙广通. 时间序列InSAR技术中的形变模型研究[J]. 测绘学报,2012,41(6):864 − 869. [ZHANG Yonghong, WU Hongan, SUN Guangtong. Deformation model of time series interferometric SAR techniques[J]. Acta Geodaetica et Cartographica Sinica,2012,41(6):864 − 869. (in Chinese with English abstract) ZHANG Yonghong, WU Hongan, SUN Guangtong. Deformation model of time series interferometric SAR techniques[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6): 864-869. (in Chinese with English abstract)
[12]	FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry[C]//IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No. 99CH36293). June 28 - July 2, 1999, Hamburg, Germany. IEEE, 1999: 1528 − 1530.
[13]	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 and Remote Sensing,2002,40(11):2375 − 2383. doi: 10.1109/TGRS.2002.803792
[14]	唐青松, 田述军, 张静, 等. 基于时序InSAR技术的新磨村滑坡发生前后变形研究[J]. 华北地震科学,2019,37(4):1 − 6. [TANG Qingsong, TIAN Shujun, ZHANG Jing, et al. Research on deformation of Xinmo Village landslide before and after occurrence based on the time-series InSAR[J]. North China Earthquake Sciences,2019,37(4):1 − 6. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-1375.2019.04.001 TANG Qingsong, TIAN Shujun, ZHANG Jing, et al. Research on deformation of xinmo village landslide before and after occurrence based on the time-series InSAR[J]. North China Earthquake Sciences, 2019, 37(4): 1-6. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-1375.2019.04.001
[15]	姚佳明, 姚鑫, 陈剑, 等. 基于InSAR技术的缓倾煤层开采诱发顺层岩体地表变形模式研究[J]. 水文地质工程地质,2020,47(3):135 − 146. [YAO Jiaming, YAO Xin, CHEN Jian, et al. A study of deformation mode and formation mechanism of a bedding landslide induced by mining of gently inclined coal seam based on InSAR technology[J]. Hydrogeology & Engineering Geology,2020,47(3):135 − 146. (in Chinese with English abstract) YAO Jiaming, YAO Xin, CHEN Jian, et al. A study of deformation mode and formation mechanism of a bedding landslide induced by mining of gently inclined coal seam based on InSAR technology[J]. Hydrogeology & Engineering Geology, 2020, 47(3): 135-146. (in Chinese with English abstract)
[16]	赵富萌, 张毅, 孟兴民, 等. 基于小基线集雷达干涉测量的中巴公路盖孜河谷地质灾害早期识别[J]. 水文地质工程地质,2020,47(1):142 − 152. [ZHAO Fumeng, ZHANG Yi, MENG Xingmin, et al. Early identification of geological hazards in the Gaizi Valley near the Karakoran Highway based on SBAS-InSAR technology[J]. Hydrogeology & Engineering Geology,2020,47(1):142 − 152. (in Chinese with English abstract) ZHAO Fumeng, ZHANG Yi, MENG Xingmin, et al. Early identification of geological hazards in the Gaizi valley near the Karakoran Highway based on SBAS-InSAR technology[J]. Hydrogeology & Engineering Geology, 2020, 47(1): 142-152. (in Chinese with English abstract)
[17]	ZHANG Y, MENG X M, DIJKSTRA T A, et al. Forecasting the magnitude of potential landslides based on InSAR techniques[J]. Remote Sensing of Environment,2020,241:111738. doi: 10.1016/j.rse.2020.111738
[18]	李珊珊, 李志伟, 胡俊, 等. SBAS-InSAR技术监测青藏高原季节性冻土形变[J]. 地球物理学报,2013,56(5):1476 − 1486. [LI Shanshan, LI Zhiwei, HU Jun, et al. Investigation of the seasonal oscillation of the permafrost over Qinghai-Tibet plateau with SBAS-InSAR algorithm[J]. Chinese Journal of Geophysics,2013,56(5):1476 − 1486. (in Chinese with English abstract) doi: 10.6038/cjg20130506 LI Shanshan, LI Zhiwei, HU Jun, et al. Investigation of the seasonal oscillation of the permafrost over Qinghai-Tibet plateau with SBAS-InSAR algorithm[J]. Chinese Journal of Geophysics, 2013, 56(5): 1476-1486. (in Chinese with English abstract) doi: 10.6038/cjg20130506
[19]	潘光永, 陶秋香, 陈洋, 等. 基于SBAS-InSAR的山东济阳矿区沉降监测与分析[J]. 中国地质灾害与防治学报,2020,31(4):100 − 106. [PAN Guangyong, TAO Qiuxiang, CHEN Yang, et al. Monitoring and analysis of sedimentation in Jiyang mining area of Shandong Province based on SBAS-InSAR[J]. The Chinese Journal of Geological Hazard and Control,2020,31(4):100 − 106. (in Chinese with English abstract) PAN Guangyong, TAO Qiuxiang, CHEN Yang, et al. Monitoring and analysis of sedimentation in Jiyang mining area of Shandong Province based on SBAS-InSAR[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(4): 100-106. (in Chinese with English abstract)
[20]	杨强. 基于时序InSAR技术的皮力青河流域滑坡易发性研究[D]. 成都: 成都理工大学, 2019 YANG Qiang. Research on landslide susceptibility based on time series InSAR technology in Piliqing river basin[D]. Chengdu: Chengdu University of Technology, 2019. (in Chinese with English abstract)
[21]	熊国华, 杨成生, 朱赛楠, 等. 基于MSBAS技术的金沙江上游色拉滑坡形变分析[J]. 中国地质灾害与防治学报,2021,32(5):1 − 9. [XIONG Guohua, YANG Chengsheng, ZHU Sainan, et al. Deformation analysis of Sela landslide in the upper reaches of Jinsha River based on MSBAS technology[J]. The Chinese Journal of Geological Hazard and Control,2021,32(5):1 − 9. (in Chinese with English abstract) XIONG Guohua, YANG Chengsheng, ZHU Sainan, et al. Deformation analysis of Sela landslide in the upper reaches of Jinsha River based on MSBAS technology[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(5): 1-9. (in Chinese with English abstract)
[22]	李德仁, 廖明生, 王艳. 永久散射体雷达干涉测量技术[J]. 武汉大学学报(信息科学版),2004,29(8):664 − 668. [LI Deren, LIAO Mingsheng, WANG Yan. Progress of permanent scatterer interferometry[J]. Geomatics and Information Science of Wuhan University,2004,29(8):664 − 668. (in Chinese with English abstract) LI Deren, LIAO Mingsheng, WANG Yan. Progress of permanent scatterer interferometry[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8): 664-668. (in Chinese with English abstract)
[23]	WEGMULLER U, WALTER D, SPRECKELS V, et al. Nonuniform ground motion monitoring with TerraSAR-X persistent scatterer interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2010,48(2):895 − 904. doi: 10.1109/TGRS.2009.2030792
[24]	冯文凯, 顿佳伟, 易小宇, 等. 基于SBAS-InSAR技术的金沙江流域沃达村巨型老滑坡形变分析[J]. 工程地质学报,2020,28(2):384 − 393. [FENG Wenkai, DUN Jiawei, YI Xiaoyu, et al. Deformation analysis of Woda Village old landslide in Jinsha river basin using SBAS-InSAR technology[J]. Journal of Engineering Geology,2020,28(2):384 − 393. (in Chinese with English abstract) FENG Wenkai, DUN Jiawei, YI Xiaoyu, et al. Deformation analysis of woda village old landslide in Jinsha River Basin using sbas-insar technology[J]. Journal of Engineering Geology, 2020, 28(2): 384-393. (in Chinese with English abstract)
[25]	李壮, 李滨, 高杨, 等. 雅鲁藏布江下游色东普沟高位地质灾害发育特征遥感解译[J]. 中国地质灾害与防治学报,2021,32(3):33 − 41. [LI Zhuang, LI Bin, GAO Yang, et al. Remote sensing interpretation of development characteristics of high-position geological hazards in Sedongpu gully, downstream of Yarlung Zangbo River[J]. The Chinese Journal of Geological Hazard and Control,2021,32(3):33 − 41. (in Chinese with English abstract) LI Zhuang, LI Bin, GAO Yang, et al. Remote sensing interpretation of development characteristics of high-position geological hazards in Sedongpu gully, downstream of Yarlung Zangbo River[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(3): 33-41. (in Chinese with English abstract)
[26]	许强, 郑光, 李为乐, 等. 2018年10月和11月金沙江白格两次滑坡-堰塞堵江事件分析研究[J]. 工程地质学报,2018,26(6):1534 − 1551. [XU Qiang, ZHENG Guang, LI Weile, et al. Study on successive landslide damming events of Jinsha River in Baige Village on Octorber 11 and November 3, 2018[J]. Journal of Engineering Geology,2018,26(6):1534 − 1551. (in Chinese with English abstract) XU Qiang, ZHENG Guang, LI Weile, et al. Study on successive landslide damming events of Jinsha River in baige village on octorber 11 and November 3, 2018[J]. Journal of Engineering Geology, 2018, 26(6): 1534-1551. (in Chinese with English abstract)