Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches  

作　　者：Meer Muhammad SAJJAD WANG Juanle GE Daqing Rehan KHAN Izhar AHMED Khan ZADA 

机构地区：[1]State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Business School,Hohai University,Nanjing 210098,China [4]China-Pakistan Earth Science Research Center,Islamabad 45320,Pakistan [5]Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China [6]China Aero Geophysical Survey&Remote Sensing Center for Natural Resources,Beijing 100083,China [7]Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,School of Geosciences and Info-Physics,Central South University,Changsha 410083,China [8]Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China [9]College of Earth and Planetary Science,University of Chinese Academy of Sciences,Beijing 100049,China [10]Geotechnical and Geo-Environmental Engineering Division,National Engineering Services Pakistan,Lahore 54700,Pakistan

出　　处：《Journal of Mountain Science》2024年第12期4131-4148,共18页山地科学学报（英文）

基　　金：National Key R&D Program of China(2023YFE0208000);Construction Project of China Knowledge Center for Engineering Sciences and Technology(CKCEST-2023-1-5).

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.

关 键 词：INSAR Deformation LANDSLIDE SBAS IPTA Karakorum highway 

分 类 号：P237[天文地球—摄影测量与遥感] P642.22[天文地球—测绘科学与技术]