Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

doi:10.1007/s13753-018-0182-9

	Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake
	Yue, Xiliu 1,2; Wu, Shaohong 1,2; Yin, Yunhe 1; Gao, Jiangbo 1; Zheng, Jingyun 1,2
刊名	INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
	2018-09-01
卷号	9 期号:3 页码:392-406
关键词	China Jiuzhaigou earthquake Newmark model Risk identification RockFall analyst model Seismic landslide
ISSN号	2095-0055
DOI	10.1007/s13753-018-0182-9
通讯作者	Wu, Shaohong(wush@igsnrr.ac.cn)
英文摘要	Geological 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.
资助项目	Pioneer Project of the Chinese Academy of Sciences[XDA19040304] ; National Key R&D Program of China[2017YFC150290402] ; Cultivate Project of Chinese Academy of Sciences[TSYJS03]
WOS关键词	INDUCED SLIDING DISPLACEMENTS ; LUSHAN EARTHQUAKE ; ARIAS INTENSITY ; HAZARD ; CHINA ; SLOPES ; FAULT ; DEFORMATION ; THRESHOLDS ; RAINFALL
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种	英语
出版者	SPRINGEROPEN
WOS记录号	WOS:000445473900009
资助机构	Pioneer Project of the Chinese Academy of Sciences ; National Key R&D Program of China ; Cultivate Project of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52909]
专题	中国科学院地理科学与资源研究所
通讯作者	Wu, Shaohong
作者单位	1.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
推荐引用方式 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.