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Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake
Yue, Xiliu1,2; Wu, Shaohong1,2; Yin, Yunhe1; Gao, Jiangbo1; Zheng, Jingyun1,2
2018-09-01
Source PublicationINTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
ISSN2095-0055
Volume9Issue:3Pages:392-406
Corresponding AuthorWu, Shaohong(wush@igsnrr.ac.cn)
AbstractGeological disasters are a great threat to people's lives and property. At present, it is difficult to evaluate quantitatively the cascading effects of regional geological disasters, and the development of new methods for such evaluation is much needed. In this study, the authors have developed a joint procedure that couples the Newmark model and the RockFall Analyst model based on a GIS platform in order to identify the impact of seismic landslides on roads. The new method effectively combines two processesseismic landslide occurrence probability analysis and mass movement trajectory simulation. The permanent displacement derived from the Newmark model is used to identify potential source areas of landslides. Based on the RockFall Analyst model, the possible impact of mass movement on the roads can be simulated. To verify the reliability of the method, the landslides induced by the 2017 Jiuzhaigou Earthquake were taken as a case study. The results suggest that about 21.37% of the study area is at high risk of seismic landslides, and approximately 3.95km of road sections are at extremely high risk of large landslides. The simulated area is consistent with the distribution of disasters revealed by post-earthquake remote sensing image interpretation and field investigation in existing studies. This indicates that the procedure, which joins the Newmark and RockFall models, has a high reliability for risk identification and can be applied to seismic landslide risk assessment and prediction in similar areas.
KeywordChina Jiuzhaigou earthquake Newmark model Risk identification RockFall analyst model Seismic landslide
DOI10.1007/s13753-018-0182-9
WOS KeywordINDUCED SLIDING DISPLACEMENTS ; LUSHAN EARTHQUAKE ; ARIAS INTENSITY ; HAZARD ; CHINA ; SLOPES ; FAULT ; DEFORMATION ; THRESHOLDS ; RAINFALL
Indexed BySCI
Language英语
Funding ProjectPioneer Project of the Chinese Academy of Sciences[XDA19040304] ; National Key R&D Program of China[2017YFC150290402] ; Cultivate Project of Chinese Academy of Sciences[TSYJS03]
Funding OrganizationPioneer Project of the Chinese Academy of Sciences ; National Key R&D Program of China ; Cultivate Project of Chinese Academy of Sciences
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000445473900009
PublisherSPRINGEROPEN
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52910
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWu, Shaohong
Affiliation1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Yue, Xiliu,Wu, Shaohong,Yin, Yunhe,et al. Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake[J]. INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,2018,9(3):392-406.
APA Yue, Xiliu,Wu, Shaohong,Yin, Yunhe,Gao, Jiangbo,&Zheng, Jingyun.(2018).Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake.INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,9(3),392-406.
MLA Yue, Xiliu,et al."Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake".INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE 9.3(2018):392-406.
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