中尼公路聂拉木至樟木段InSAR广域地灾隐患识别与特征分析  

Identification and Feature Analysis of Regional Geohazard Risks along Nyalam to Zhangmu Section of China-Nepal Highway by InSAR

作　　者：于冰[1,2,3,4] 蔡锐 张崇磊 牛童[1] 黄雷 王金日 张椿雨 YU Bing;CAI Rui;ZHANG Chonglei;NIU Tong;HUANG Lei;WANG Jinri;ZHANG Chunyu(School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 610500,China;Institute of Petroleum and Natural Gas Spatial Information Engineering,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;Institute of Mountain Hazards and Environment,Chengdu 610299,China)

机构地区：[1]西南石油大学土木工程与测绘学院,成都市610500 [2]西南石油大学油气藏地质及开发工程国家重点实验室,成都市610500 [3]西南石油大学油气空间信息工程研究所,成都市610500 [4]武汉大学测绘遥感信息工程国家重点实验室,武汉市430079 [5]中国科学院、水利部成都山地灾害与环境研究所,成都市610299

出　　处：《大地测量与地球动力学》2024年第7期709-717,共9页Journal of Geodesy and Geodynamics

基　　金：四川省自然科学基金(2023NSFSC0265,2022NSFSC1113);第二次青藏高原科学考察与研究计划(2021QZKK0202);中国科学院战略性先导科技专项(XDA20030301);国家自然科学基金(41801399);地质灾害防治与地质环境保护国家重点实验室开放基金(SKLGP2023K019);西南石油大学油气藏地质及开发工程国家重点实验室开放基金(PLN201815)。

摘　　要：基于2017-04~2019-06共130景Sentinel-1A卫星升降轨影像,采用StaMPS-SBAS InSAR方法,并融合GACOS大气校正,对中尼公路聂拉木至樟木段进行大范围地质灾害隐患点探测和识别。结果表明,研究区内共发现54处隐患点,组成多处滑坡群,升轨最大形变速率达114 mm/a,降轨最大形变速率达122 mm/a。结合研究区降水数据统计分析可知,有35处隐患点形变与降水有关,形变季节性特征明显。本文研究结果有助于了解该路段地表形变趋势及成因,丰富该地区地灾隐患点历史记录,为该地区地质灾害隐患的持续监测提供参考。We detect and identify large-scale geohazards in Nyalam to Zhangmu section of China-Nepal highway based on StaMPS-SBAS InSAR method using 130 ascending and descending orbit images of Sentinel-1A satellite from 2017-04 to 2019-06,combined with GACOS atmospheric correction.The results show that there are 54 hidden danger points in the study area,forming multiple landslide groups,with a maximum deformation rate of 114 mm/a for ascending orbit and 122 mm/a for descending orbit.According to precipitation data,there are 35 hidden danger points where deformation is related to precipitation,and the seasonal characteristics of deformation are obvious.The research results can help to understand trends and causes of surface deformation in this section,enrich the historical records of geohazard points,and provide reference for continuous monitoring of geohazard in the region.

关 键 词：中尼公路 INSAR 广域监测 地灾隐患识别 

分 类 号：P237[天文地球—摄影测量与遥感] P258[天文地球—测绘科学与技术]