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中巴经济走廊洪扎段潜在滑坡SBAS-InSAR早期识别及发育特征分析
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作者 苏晓军 张毅 +6 位作者 孟兴民 rehman mohib ur Khalid Zainab 赵富萌 岳东霞 郭富赟 周自强 《遥感学报》 EI CSCD 北大核心 2024年第4期885-899,共15页
中巴经济走廊巴基斯坦境内洪扎河谷(Hunza Valley)段地形高差巨大、地质环境复杂,滑坡灾害多发,对河谷内村镇威胁极大,也严重制约中巴经济走廊安全建设与运行。为了加深对Hunza河谷滑坡灾害的认识,亟待进行滑坡识别编目和发育特征研究... 中巴经济走廊巴基斯坦境内洪扎河谷(Hunza Valley)段地形高差巨大、地质环境复杂,滑坡灾害多发,对河谷内村镇威胁极大,也严重制约中巴经济走廊安全建设与运行。为了加深对Hunza河谷滑坡灾害的认识,亟待进行滑坡识别编目和发育特征研究。本研究基于升、降轨获取的87景哨兵一号(Sentinel-1)数据,利用SBAS-InSAR技术获取了洪扎河谷地表形变,计算了地表斜坡向形变速率。并综合利用光学遥感影像解译和野外实地调查验证,成功识别了洪扎河谷53处潜在滑坡,并讨论了滑坡识别效果,对Ghulmet和Humarri两个典型大型滑坡监测形变、影像解译和验证特征进行了分析。在此基础上,选取11个地形地质环境因素作为影响滑坡发育的因子,分析了滑坡分布发育特征。结果表明,升轨和降轨数据监测到研究区内斜坡向最大形变速率分别为−311 mm/a和−490 mm/a,洪扎河谷区不稳定形变阈值为−20 mm/a。大型滑坡受河流侵蚀作用,形变剧烈,次级滑坡发育。识别的潜在滑坡主要集中在河流两岸、公路上下边坡;潜在滑坡主要分布在风化堆积层以及千枚岩、板岩等变质岩区;高差200—1000 m、坡度30°—40°和坡向南、南西向为滑坡发育的优势地形条件;斜坡地表裸露、植被稀疏地段(NDVI<0.2)物源充足,滑坡较为发育。研究结果可用于巴基斯坦洪扎河谷防灾减灾工作,保障中巴经济走廊畅通运营,为具有毁路与堵江风险的滑坡重点监测和评价研究提供科学参考和数据支持。 展开更多
关键词 中巴经济走廊 洪扎河谷 滑坡 SBAS-InSAR 地表形变 早期识别 发育特征
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Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017 被引量:6
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作者 SU Xiao-jun ZHANG Yi +9 位作者 MENG Xing-min YUE Dong-xia MA Jin-hui GUO Fu-yun ZHOU Zi-qiang rehman mohib ur KHALID Zainab CHEN Guan ZENG Run-qiang ZHAO Fu-meng 《Journal of Mountain Science》 SCIE CSCD 2021年第10期2540-2564,共25页
The Karakoram Highway(KKH),a part of the China–Pakistan Economic Corridor(CPEC),is a major highway connecting northern Pakistan to China.The inventorying and analysis of landslides along KKH are challenging because o... The Karakoram Highway(KKH),a part of the China–Pakistan Economic Corridor(CPEC),is a major highway connecting northern Pakistan to China.The inventorying and analysis of landslides along KKH are challenging because of poor accessibility,vast study area,limited availability of ground-based datasets,and the complexity of landslide processes in the region.In order to preserve life,property,and infrastructure,and to enable the uninterrupted and efficient operation of the KKH,it is essential to strengthen measures for the prevention and control of geological disasters.In the present study,SBASInSAR(Small Baseline Subsets-Interferometric Synthetic Aperture Radar)was used to process 150 scenes of Sentinel 1-A images in the year 2017 along the Karakoram Highway.A total of 762 landslides,including 57 complex landslides,126 rock falls,167 debris slides,and 412 unstable slopes,ranging in size between 0.0017 and 10.63 km2 were identified.Moreover,this study also gains an inventory of 40 active glacier movements in this region.Landslide categorization,displacements characteristics,spatial distribution,and their relationship with various contributing factors have been successfully investigated along the entire KKH using image interpretation and frequency-area statistics.The criteria adopted for landslides categorization is presented in the study.The results showed that the 2-D ground deformation derived in Hunza valley echoes well with the general regional landslides characteristics.The spatial distribution analysis revealed that there are clumped distributions of landslides in the Gaizi,Tashkurgan,and Khunjerab in China,as well as in Hunza valley,and north of Chilas city in Pakistan.Statistical results indicated that these landslides mainly occur on south-facing slopes with a slope angle of 20°–45°and elevation relief of 550–2,100 m.Landslide development is also related to low vegetation cover and weathering effects in mountain gullies.Overall,our study provides scientific data support and theoretical references for prevention,control,and mitigation of geological disasters in the Karakoram region. 展开更多
关键词 Landslides mapping Slope deformation Identification Landslide development Area development ratio SBAS-InSAR Karakoram Highway
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