Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China
文献类型：期刊论文
| 作者 | Ouyang, Chao-jun1,2,3 ; Zhao, Wei1,2,3; He, Si-ming1,2,3,4; Wang, Dong-po1,2,5; Zhou, Shu1,2,3; An, Hui-cong1,2,3; Wang, Zhong-wen5; Cheng, Duo-xiang6
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| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
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| 出版日期 | 2017-09-01 |
| 卷号 | 14期号:9页码:1701-1711 |
| 关键词 | Xinmo Landslide Runout Numerical Modeling Dynamic Process Potential Risk High-locality Landslide |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-017-4613-7 |
| 文献子类 | Article |
| 英文摘要 | A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province, China, on June 24, 2017. A 2.87x10(6) m(3) rock mass collapsed and entrained the surface soil layer along the landslide path. Eighty-three people were killed or went missing and more than 103 houses were destroyed. In this paper, the geological conditions of the landslide are analyzed via field investigation and high-resolution imagery. The dynamic process and runout characteristics of the landslide are numerically analyzed using a depth-integrated continuum method and MacCormack-TVD finite difference algorithm. Computational results show that the evaluated area of the danger zone matchs well with the results of field investigation. It is worth noting that soil sprayed by the high-speed blast needs to be taken into account for such kind of large high-locality landslide. The maximum velocity is about 55 m/s, which is consistent with most cases. In addition, the potential danger zone of an unstable block is evaluated. The potential risk area evaluated by the efficient depth-integrated continuum method could play a significant role in disaster prevention and secondary hazard avoidance during rescue operations. |
| WOS关键词 | DEBRIS AVALANCHE ; FLOW ; SIMULATION ; MECHANISM ; MASS |
| 语种 | 英语 |
| WOS记录号 | WOS:000409490000003 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Nature Science Foundation of China(41572303 ; Chinese Academy of Sciences "Light of West China" Program ; Youth Innovation Promotion Association ; 41520104002) |
| 源URL | [http://ir.imde.ac.cn/handle/131551/19068]  |
| 专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.9 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 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Zhou, Shu |
| 作者单位 | 1.Chinese Acad Sci, Key Iaboratory Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China 2.Chinese Acad Sci, IMHE, Chengdu 610041, Sichuan, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 5.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China 6.Sichuan Geomat Ctr, Sichuan Engn Res Ctr Emergency Mapping & Disaster, Chengdu 610041, Sichuan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ouyang, Chao-jun,Zhao, Wei,He, Si-ming,et al. Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2017,14(9):1701-1711. |
| APA | Ouyang, Chao-jun.,Zhao, Wei.,He, Si-ming.,Wang, Dong-po.,Zhou, Shu.,...&Cheng, Duo-xiang.(2017).Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China.JOURNAL OF MOUNTAIN SCIENCE,14(9),1701-1711. |
| MLA | Ouyang, Chao-jun,et al."Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China".JOURNAL OF MOUNTAIN SCIENCE 14.9(2017):1701-1711. |
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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