Integration of GPS with InSAR to monitoring of the Jiaju landslide in Sichuan, China

被引:122
|
作者
Yin, Yueping [1 ]
Zheng, Wamo [2 ]
Liu, Yuping [2 ]
Zhang, Jialong [2 ]
Li, Xiaochun [1 ]
机构
[1] China Geol Survey, Beijing 100037, Peoples R China
[2] China Geol Survey, Chengdu Inst, Chengdu 610081, Sichuan Prov, Peoples R China
关键词
Monitoring; InSAR; GPS; Landslide;
D O I
10.1007/s10346-010-0225-9
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In 2006, a cooperation project between China Geological Survey and the Geological Survey of Canada started the monitoring of the landslide along the deep-cut valley in the western Sichuan using integrated GPS and InSAR observation at the Jiaju landslide. Both GPS and InSAR techniques provided complementary measurements with the GPS providing horizontal movement and InSAR providing vertical motion. Meanwhile, InSAR images demonstrate also an effective tool to recognize new landslides in complex steep mountain region. The GPS observations provide continuous monitoring data while InSAR data provide monthly measurements. The differential InSAR results show a deformation information that divided the Jiaju landslide to two areas, the north and south parts. The north part is sliding greater than the southern part in spatial domain. The sliding was faster in 2008 than that in 2006 in time domain, suggesting a gradual increased acceleration over time. The GPS displacement data during the past 2 years show the northern part slid horizontally 55-207 mm/a and vertically -23 mm/a, while the southern part slid horizontally 12-34 mm/a; and the vertical displacement mainly moved downward 0.05 to 12 mm/a. On average, the observations from December of 2006 to January of 2008 indicate that the northern part is sliding at 41.6 mm/a horizontally and 43.9 mm/a vertically, while the southern part is sliding at 16.1 mm/a horizontally and 17.5 mm/a vertically. The data acquired through the GPS and InSAR are generally comparable. Geological survey revealed some secondary landslides, cracks, and fissures within the deformation of the Jiaju landslide that could be induced by following factors: surface water drainage, river erosion, and slope cutting and overloading.
引用
收藏
页码:359 / 365
页数:7
相关论文
共 50 条
  • [21] Landslide evolution assessment based on InSAR and real-time monitoring of a large reactivated landslide, Wenchuan, China
    Xie, Mingli
    Zhao, Weihua
    Ju, Nengpan
    He, Chaoyang
    Huang, Hongdong
    Cui, Qinghong
    ENGINEERING GEOLOGY, 2020, 277 (277)
  • [22] Advanced InSAR Techniques to Support Landslide Monitoring
    Bellotti, Fernando
    Bianchi, Marco
    Colombo, Davide
    Ferretti, Alessandro
    Tamburini, Andrea
    MATHEMATICS OF PLANET EARTH, 2014, : 287 - 290
  • [23] InSAR Monitoring of Post-Landslide Activity
    Singhroy, Vern
    Couture, Rejean
    Molch, Katrin
    Poncos, Valentin
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 1635 - +
  • [24] LANDSLIDE DETECTION AND MONITORING WITH INSAR TECHNIQUE OVER UPPER REACHES OF JINSHA RIVER, CHINA
    Zhao, Chaoying
    Kang, Ya
    Zhang, Qin
    Zhu, Wu
    Li, Bin
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2881 - 2884
  • [25] LANDSLIDE DETECTION AND MONITORING FOR MOUTAINOUS AREAS OF SOUTHWEST CHINA USING TIME SERIES INSAR
    Duan, Wei
    Wang, Chao
    Zhang, Hong
    Tang, Yixian
    Wang, Jing
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 2038 - 2041
  • [26] D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China
    Wang, Guijie
    Xie, Mowen
    Chai, Xiaoqing
    Wang, Liwei
    Dong, Chenxi
    ENVIRONMENTAL EARTH SCIENCES, 2013, 69 (08) : 2763 - 2777
  • [27] D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China
    Guijie Wang
    Mowen Xie
    Xiaoqing Chai
    Liwei Wang
    Chenxi Dong
    Environmental Earth Sciences, 2013, 69 : 2763 - 2777
  • [28] Monitoring and analysis of Woda landslide (China) using InSAR and Sentinel-1 data
    Li, Bingquan
    Jiang, Wenliang
    Li, Yongsheng
    Luo, Yi
    Jiao, Qisong
    Zhang, Qingyun
    ADVANCES IN SPACE RESEARCH, 2023, 72 (05) : 1789 - 1802
  • [29] Monitoring the Subsidence in Wan'an Town of Deyang Based on PS-InSAR Technology (Sichuan, China)
    Guo, Hongyi
    Martinez-Grana, Antonio Miguel
    Gonzalez-Delgado, Jose Angel
    SUSTAINABILITY, 2024, 16 (22)
  • [30] Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China
    Shan, Yunfeng
    Xu, Zhou
    Zhou, Shengsen
    Lu, Huiyan
    Yu, Wenlong
    Li, Zhigang
    Cao, Xiong
    Li, Pengfei
    Li, Weile
    REMOTE SENSING, 2024, 16 (01)