Articles | Volume 19, issue 10
https://doi.org/10.5194/nhess-19-2229-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-2229-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2019
Research article |
| 10 Oct 2019
| 10 Oct 2019
InSAR technique applied to the monitoring of the Qinghai–Tibet Railway
Qingyun Zhang
The first Monitoring and Application Center, China Earthquake
Administration, Tianjin, China
Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics,
China Earthquake Administration, 100085, Beijing, China
Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, 150080, China
Yongsheng Li
CORRESPONDING AUTHOR
Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics,
China Earthquake Administration, 100085, Beijing, China
Jingfa Zhang
Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics,
China Earthquake Administration, 100085, Beijing, China
Yi Luo
Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics,
China Earthquake Administration, 100085, Beijing, China
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Cited
16 citations as recorded by crossref.
- Research on deformation characteristics of the 2021 Qinghai Maduo MS7.4 earthquake through coseismic dislocation inversion Q. Zhang et al. 10.1016/j.asr.2022.01.042
- Spatial distribution analysis and application of engineering disturbance disasters in the Himalayan alpine valley Y. Song et al. 10.3389/feart.2022.1098631
- Settlement monitoring data fusion approach for high-speed railways based on GNSS and InSAR D. Qiu et al. 10.1117/1.JRS.17.034507
- Insar Time-Series Deformation Forecasting Surrounding Salt Lake Using Deep Transformer Models j. wang et al. 10.2139/ssrn.4197041
- Asymmetric Interseismic Strain across the Western Altyn Tagh Fault from InSAR Y. Liu et al. 10.3390/rs14092112
- Monitoring surface deformation of permafrost in Wudaoliang Region, Qinghai–Tibet Plateau with ENVISAT ASAR data R. Li et al. 10.1016/j.jag.2021.102527
- Freeze-Thaw Deformation Cycles and Temporal-Spatial Distribution of Permafrost along the Qinghai-Tibet Railway Using Multitrack InSAR Processing J. Wang et al. 10.3390/rs13234744
- Research and Application of Early Identification of Geological Hazards Technology in Railway Disaster Prevention and Control: A Case Study of Southeastern Gansu, China P. He et al. 10.3390/su152416705
- Quantitative assessment of ground deformations for the risk management of petroleum and gas pipelines using radar interferometry E. Bayramov et al. 10.1080/19475705.2020.1853611
- Study of the Interseismic Deformation and Locking Depth along the Xidatan–Dongdatan Segment of the East Kunlun Fault Zone, Northeast Qinghai–Tibet Plateau, Based on Sentinel-1 Interferometry S. Kang et al. 10.3390/rs15194666
- Assessments of land subsidence along the Rizhao–Lankao high-speed railway at Heze, China, between 2015 and 2019 with Sentinel-1 data C. Zhu et al. 10.5194/nhess-20-3399-2020
- Radar Remote Sensing to Supplement Pipeline Surveillance Programs through Measurements of Surface Deformations and Identification of Geohazard Risks E. Bayramov et al. 10.3390/rs12233934
- InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models J. Wang et al. 10.1016/j.scitotenv.2022.159744
- Deformation Pattern and Failure Mechanism of Railway Embankment Caused by Lake Water Fluctuation Using Earth Observation and On-Site Monitoring Techniques S. Li et al. 10.3390/w15244284
- Remote sensing monitoring of influence of underground mining in the area of the S3 Express Road N. Bugajska & W. Milczarek 10.1088/1755-1315/684/1/012028
- Monitoring Roadbed Stability in Permafrost Area of Qinghai–Tibet Railway by MT-InSAR Technology H. Liu et al. 10.3390/land12020474
16 citations as recorded by crossref.
- Research on deformation characteristics of the 2021 Qinghai Maduo MS7.4 earthquake through coseismic dislocation inversion Q. Zhang et al. 10.1016/j.asr.2022.01.042
- Spatial distribution analysis and application of engineering disturbance disasters in the Himalayan alpine valley Y. Song et al. 10.3389/feart.2022.1098631
- Settlement monitoring data fusion approach for high-speed railways based on GNSS and InSAR D. Qiu et al. 10.1117/1.JRS.17.034507
- Insar Time-Series Deformation Forecasting Surrounding Salt Lake Using Deep Transformer Models j. wang et al. 10.2139/ssrn.4197041
- Asymmetric Interseismic Strain across the Western Altyn Tagh Fault from InSAR Y. Liu et al. 10.3390/rs14092112
- Monitoring surface deformation of permafrost in Wudaoliang Region, Qinghai–Tibet Plateau with ENVISAT ASAR data R. Li et al. 10.1016/j.jag.2021.102527
- Freeze-Thaw Deformation Cycles and Temporal-Spatial Distribution of Permafrost along the Qinghai-Tibet Railway Using Multitrack InSAR Processing J. Wang et al. 10.3390/rs13234744
- Research and Application of Early Identification of Geological Hazards Technology in Railway Disaster Prevention and Control: A Case Study of Southeastern Gansu, China P. He et al. 10.3390/su152416705
- Quantitative assessment of ground deformations for the risk management of petroleum and gas pipelines using radar interferometry E. Bayramov et al. 10.1080/19475705.2020.1853611
- Study of the Interseismic Deformation and Locking Depth along the Xidatan–Dongdatan Segment of the East Kunlun Fault Zone, Northeast Qinghai–Tibet Plateau, Based on Sentinel-1 Interferometry S. Kang et al. 10.3390/rs15194666
- Assessments of land subsidence along the Rizhao–Lankao high-speed railway at Heze, China, between 2015 and 2019 with Sentinel-1 data C. Zhu et al. 10.5194/nhess-20-3399-2020
- Radar Remote Sensing to Supplement Pipeline Surveillance Programs through Measurements of Surface Deformations and Identification of Geohazard Risks E. Bayramov et al. 10.3390/rs12233934
- InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models J. Wang et al. 10.1016/j.scitotenv.2022.159744
- Deformation Pattern and Failure Mechanism of Railway Embankment Caused by Lake Water Fluctuation Using Earth Observation and On-Site Monitoring Techniques S. Li et al. 10.3390/w15244284
- Remote sensing monitoring of influence of underground mining in the area of the S3 Express Road N. Bugajska & W. Milczarek 10.1088/1755-1315/684/1/012028
- Monitoring Roadbed Stability in Permafrost Area of Qinghai–Tibet Railway by MT-InSAR Technology H. Liu et al. 10.3390/land12020474
Latest update: 25 Apr 2024
Short summary
Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small and considered stable. After opening, the overall stability of the railway section was good. The main deformation areas are concentrated in the areas where railway lines turn and geological disasters are concentrated. In order to ensure the safety of railway operation, it is necessary to carry out long-term time series observation along the Qinghai–Tibet Railway.
Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small...
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