IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.9
Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China
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
AbstractA 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.
KeywordXinmo Landslide Runout Numerical Modeling Dynamic Process Potential Risk High-locality Landslide
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS SubjectEnvironmental Sciences
WOS IDWOS:000409490000003
Funding OrganizationNational Nature Science Foundation of China(41572303 ; Chinese Academy of Sciences "Light of West China" Program ; Youth Innovation Promotion Association ; 41520104002)
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Cited Times:47[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.9
Corresponding AuthorZhou, Shu
Affiliation1.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
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
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.
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