中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan)

文献类型:期刊论文

作者Ullah, Faheem5,6; Su, Li-Jun4,5,6; Alam, Mehtab1,5,6; Cheng, Li5,6; Rehman, Mohib Ur2; Asghar, Aamir5,6; Hussain, Gulfam3,5
刊名BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
出版日期2022-09-01
卷号81期号:9页码:16
ISSN号1435-9529
关键词Landslide GPR ERT MASW Geology
DOI10.1007/s10064-022-02853-2
英文摘要

This study uses geophysical techniques to locate subsurface deformations on a ridge that could cause landslide surfaces in a community in Pakistan. After conducting the morphometric analysis, it has been calculated that total slope failure may dislodge a mass of about 14 million cubic meters. Hence, finding the deformational sub-vertical extent was necessary to plan proper mitigation against progressive failure. The study aimed to check the efficiency of unshielded (16-40 MHz) antenna for landslide hazard assessment. We recorded 19 GPR profiles covering the susceptible landslide areas and interpreted them against different subsurface exploration methods, like seismic, electrical, and surface-exposed geology investigation. The investigated slope is an unsorted moraines/fluvioglacial deposits and debris with varying proportions of sand, silt, and clay developing subsidence, sinkholes, and underground piping after irrigation and rainfall. The low-frequency antenna applications marked the effect of subsurface degradation beneath the exposed sinkholes up to 20 m in depth. The subsurface degradation observed in the surface wave analysis technique was also no more than 20-25 m. The interpretation of GPR results allowed us to map the subsidence, piping extent, and sinkhole boundaries by characterizing their internal geometries (deformation style). Therefore, the low-frequency GPR technique helps divide landslide layers accurately and detect the sliding surface with minimum costs and time. This research output can be used as an auxiliary tool for landslide mitigation and will help understand the landslide natures in the Karakoram ranges.

WOS关键词SINKHOLES ; FEATURES ; IMPACT ; KARST ; MODEL ; BASIN ; DAMS ; ZONE
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030301] ; NSFC Key Project for international cooperation[41761144077]
WOS研究方向Engineering ; Geology
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000842481700001
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; NSFC Key Project for international cooperation
源URL[http://ir.imde.ac.cn/handle/131551/56808]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Su, Li-Jun
作者单位1.Ghulam Ishaq Khan Inst Engn Sci & Technol GIKI To, Swabi 23640, Kpk, Pakistan
2.COMSATS Univ Islamabad, Dept Earth Sci, Abbottabad Campus, Abbottabad 22060 12, Pakistan
3.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China
4.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad, Pakistan
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Ullah, Faheem,Su, Li-Jun,Alam, Mehtab,et al. Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan)[J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2022,81(9):16.
APA Ullah, Faheem.,Su, Li-Jun.,Alam, Mehtab.,Cheng, Li.,Rehman, Mohib Ur.,...&Hussain, Gulfam.(2022).Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan).BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,81(9),16.
MLA Ullah, Faheem,et al."Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan)".BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 81.9(2022):16.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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