Potential Geohazards Identification and Deformation Monitoring by Time-Series InSAR Along Anhui Ningwu Expressway

被引:0
作者
Qian, Dongsheng [1 ]
Wang, Hongxiang [2 ]
Huang, Xuewen [2 ]
Li, Xiaoyong [2 ]
Liu, Xiangsheng [2 ]
Zhang, Lei [2 ]
Wang, Yu [2 ]
Li, Fanfan [3 ]
Zhong, Jiahong [4 ]
机构
[1] Anhui Transportat Holding Grp Co Ltd, Hefei 230092, Peoples R China
[2] Anhui Traff Control Construct Management Co Ltd, Hefei 230092, Peoples R China
[3] Anhui Transport Consulting & Design Inst Co Ltd, Res & Dev Ctr Technol & Equipment Energy Conserva, Hefei 230088, Peoples R China
[4] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
来源
ENGINEERING GEOLOGY FOR A HABITABLE EARTH, VOL 2, IAEG XIV CONGRESS 2023 | 2024年
关键词
SBAS-InSAR; Highway; Deformation monitoring;
D O I
10.1007/978-981-99-9061-0_36
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the development of expressway construction and transportation, expressways monitoring are important to ensure the safety and stability of transportation. The Small Baseline Subset Interferometry Synthetic Aperture Radar (SBAS-InSAR) technology provides us deformation information, to prevent potential danger. In this paper, we selects Ningwu Expressway in Anhui Province as the study area, using a total of 136 scenes of Sentinel-1A image data from Jan. 2016 to Dec. 2020 to deformation monitoring. The results shows that a total of six hidden sections were identified, of which the maximum annual average deformation rate was - 32 mm/year. Then we chooses three typical slopes and two tailings dam along as key monitoring areas, shows that the Yanshanao tailings dam settlement is the largest, and the maximum deformation reaching 188 mm. This study provides a reference case for expressway deformation monitoring along the side slopes.
引用
收藏
页码:505 / 514
页数:10
相关论文
共 13 条
[1]   A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J].
Berardino, P ;
Fornaro, G ;
Lanari, R ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2375-2383
[2]  
Dai K, 2020, IEEE Geosci Remote Sens Mag, P99
[3]   Dynamic landslides susceptibility evaluation in Baihetan Dam area during extensive impoundment by integrating geological model and InSAR observations [J].
Dai, Keren ;
Chen, Chen ;
Shi, Xianlin ;
Wu, Mingtang ;
Feng, Wenkai ;
Xu, Qiang ;
Liang, Rubing ;
Zhuo, Guanchen ;
Li, Zhenhong .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 116
[4]   Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework [J].
Dai, Keren ;
Li, Zhenhong ;
Xu, Qiang ;
Burgmann, Roland ;
Milledge, David G. ;
Tomas, Roberto ;
Fan, Xuanmei ;
Zhao, Chaoying ;
Liu, Xiaojie ;
Peng, Jianbing ;
Zhang, Qin ;
Wang, Zheng ;
Qu, Tengteng ;
He, Chaoyang ;
Li, Deren ;
Liu, Jingnan .
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2020, 8 (01) :136-153
[5]  
Duan G, 2017, Geomatics Inf Sci Wuhan Univ, V42, P7
[6]   A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms [J].
Lanari, R ;
Mora, O ;
Manunta, M ;
Mallorquí, JJ ;
Berardino, P ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (07) :1377-1386
[7]  
Liu K, 2018, J Geo-Inf Sci, V20, P10
[8]  
Qin X, 2017, Geomatics Inf Sci Wuhan Univ, V42, P8
[9]  
Wang N, 2021, Sci Technol Eng, V21, P11
[10]  
Wang R, 2018, Geomatics Inf Sci Wuhan Uni, V43, P8