Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches
文献类型：期刊论文
| 作者 | Sajjad, Meer Muhammad6,7,8; Wang, Juanle4,5,7,8; Ge, Daqing3; Khan, Rehan2; Ahmed, Izhar7,10; Zada, Khan1,7,9,10 |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2024-11-19 |
| 卷号 | N/A |
| 关键词 | InSAR Deformation Landslide SBAS IPTA Karakorum highway |
| DOI | 10.1007/s11629-024-8871-x |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Landslides are the most frequent geoenvironmental natural hazards in hilly regions, owing to broken rock masses and slope instability. Every year, landslides occur along the Karakorum highway in the northern section of the China-Pakistan Economic Corridor, involving complex geological action and causing significant damages and fatalities. To mitigate landslide hazard risks and a better understanding of landslide occurrence in steep mountainous regions, a comprehensive and precise analysis of slow-moving landslides is necessary. To address this challenge, a Multi-Temporal (MT), Interferometry Synthetic Aperture Radar (InSAR) approach using Small Baseline Subsets and Interferometric Point Target Analysis techniques was utilized to extract ground deformation rates. A total of 121 multitrack synthetic aperture radar images from Sentinel-1A were acquired from 2021 to 2023, enabling the detection and monitoring of ground displacement over time. Eight active slope movements were successfully identified by calculating the differences in deformation, indicating a significant deformation rate within the trust fault lines and regional geological formations. The research findings reveal that the regional geological structure, including lithology and fault lines, significantly increase the deformation rate. These identified landslide hazard areas range from 1.47 km2 to 14.88 km2, with an annual average rate of line of sight surface displacement estimated between -4.13 to -16.07 cm/yr. The MT-InSAR analysis demonstrates that fault lines and geology play significant role in surface deformation, providing valuable insights into the deformation induced by regional tectonic activities. |
| WOS关键词 | KARAKORAM HIGHWAY ; TECTONIC EVOLUTION ; DEFORMATION ; SENTINEL-1 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001360985400001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209493]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Wang, Juanle |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China 2.Cent South Univ, Sch Geosci & Infophys, Key Lab Metallogen Predict Nonferrous Met & Geol E, Minist Educ, Changsha 410083, Peoples R China 3.China Aero Geophys Survey & Remote Sensing Ctr Nat, Beijing 100083, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 5.China Pakistan Earth Sci Res Ctr, Islamabad 45320, Pakistan 6.Hohai Univ, Business Sch, Nanjing 210098, Peoples R China 7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 9.Natl Engn Serv Pakistan, Geotech & Geoenvironm Engn Div, Lahore 54700, Pakistan 10.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sajjad, Meer Muhammad,Wang, Juanle,Ge, Daqing,et al. Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches[J]. JOURNAL OF MOUNTAIN SCIENCE,2024,N/A. |
| APA | Sajjad, Meer Muhammad,Wang, Juanle,Ge, Daqing,Khan, Rehan,Ahmed, Izhar,&Zada, Khan.(2024).Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches.JOURNAL OF MOUNTAIN SCIENCE,N/A. |
| MLA | Sajjad, Meer Muhammad,et al."Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches".JOURNAL OF MOUNTAIN SCIENCE N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。