Kinematic-based landslide risk management for the Sichuan-Tibet Grid Interconnection Project (STGIP) in China
文献类型:期刊论文
作者 | Lan, Hengxing2,3; Tian, Naiman2,4; Li, Langping2; Wu, Yuming2; Macciotta, Renato1; Clague, John J.5 |
刊名 | ENGINEERING GEOLOGY
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出版日期 | 2022-10-01 |
卷号 | 308页码:11 |
关键词 | Mega engineering Landslide Risk Management Kinematics |
ISSN号 | 0013-7952 |
DOI | 10.1016/j.enggeo.2022.106823 |
通讯作者 | Lan, Hengxing(lanhx@lreis.ac.cn) ; Li, Langping(lilp@lreis.ac.cn) |
英文摘要 | Landslides are major threats to the construction and operation of electric towers of the Sichuan-Tibet Grid Interconnection Project (STGIP). The long, narrow project corridor is vulnerable to different types of landslides, making risk management a difficult task. In this study, a kinematic-based, landslide risk management framework that includes hazard analysis, risk estimation, risk evaluation, and risk control is proposed and implemented. The spatial density of historical landslides and the spatial distribution of landslide kinematics are used to analyze landslide hazard. Kinetic energy derived from the landslide physical process model is employed to analyze the vulnerability of the towers in the risk estimation step. Then, the landslide hazard and tower vulnerability are used to comprehensively evaluate the landslide risk level of the electric towers. Electric towers with high risk are mainly situated in areas near rivers and faults, with fragile steep slopes. Fragmented rock masses and a thick regolith cover provide abundant materials for landslides, and steep slopes supply the initial conditions and energy that make them a risk. Risk-control strategies are provided based on site-specific risk. The safe con-struction and operation of the STGIP in the past 10 years show the effectiveness and reliability of the proposed framework. We suggest that the workflow and guidelines for landslide risk management used in this study can be adopted for large engineering projects in complex environments. |
WOS关键词 | TRANSPORTATION CORRIDOR ; PHYSICAL VULNERABILITY ; QUANTITATIVE-ANALYSIS ; DEBRIS-FLOW ; HAZARD ; INDICATORS ; CURVES |
资助项目 | Second Tibetan Plateau Scientific Expedition and Research (STEP) program[2019QZKK0904] ; National Natural Science Foundation of China[41941019] ; National Natural Science Foundation of China[41927806] ; Strategic Priority Research Program of Chi-nese Academy of Sciences (CAS)[XDA23090301] ; Strategic Priority Research Program of Chi-nese Academy of Sciences (CAS)[XDA19040304] ; Center, program of the Ministry of Education of China[B18046] |
WOS研究方向 | Engineering ; Geology |
语种 | 英语 |
WOS记录号 | WOS:000848643100001 |
出版者 | ELSEVIER |
资助机构 | Second Tibetan Plateau Scientific Expedition and Research (STEP) program ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chi-nese Academy of Sciences (CAS) ; Center, program of the Ministry of Education of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/182037] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Lan, Hengxing; Li, Langping |
作者单位 | 1.Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB 619, Canada 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Changan Univ, Sch Geol Engn & Geomatics, Xian 710064, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Simon Fraser Univ, Dept Earth Sci, Burnaby, BC V5A 1S6, Canada |
推荐引用方式 GB/T 7714 | Lan, Hengxing,Tian, Naiman,Li, Langping,et al. Kinematic-based landslide risk management for the Sichuan-Tibet Grid Interconnection Project (STGIP) in China[J]. ENGINEERING GEOLOGY,2022,308:11. |
APA | Lan, Hengxing,Tian, Naiman,Li, Langping,Wu, Yuming,Macciotta, Renato,&Clague, John J..(2022).Kinematic-based landslide risk management for the Sichuan-Tibet Grid Interconnection Project (STGIP) in China.ENGINEERING GEOLOGY,308,11. |
MLA | Lan, Hengxing,et al."Kinematic-based landslide risk management for the Sichuan-Tibet Grid Interconnection Project (STGIP) in China".ENGINEERING GEOLOGY 308(2022):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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