中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A global landslide non-susceptibility map

文献类型:期刊论文

作者Jia, Guoqiang1,2; Alvioli, Massimiliano3; Gariano, Stefano Luigi3; Marchesini, Ivan3; Guzzetti, Fausto3,4; Tang, Qiuhong1,2
刊名GEOMORPHOLOGY
出版日期2021-09-15
卷号389页码:14
关键词Non-susceptibility Quantile non-linear model Validation Non-exposure analysis
ISSN号0169-555X
DOI10.1016/j.geomorph.2021.107804
通讯作者Alvioli, Massimiliano(massimiliano.alvioli@irpi.cnr.it) ; Tang, Qiuhong(tangqh@igsnrr.ac.cn)
英文摘要At variance with conventional landslide susceptibility assessment, non-susceptibility analysis aims at selecting locations in which the likelihood of landslide occurrence is null or negligible. The advantage of this approach is that it does not require estimating different degrees of likelihood outside of the locations of negligible susceptibility. Thus, it entails the use of simplified classification methods. In this work, we tested and validated the existing non-susceptibility model with 18 global and regional landslide datasets, as a prior for the global application. The existing model was applied previously in Italy and the Mediterranean region, and defined by a nonlinear relief vs. slope threshold curve, below which landslide susceptibility is negligible. Then, we applied a similar analysis, and proposed a global map, using relief and slope obtained from global elevation data at about 90-m resolution. The global map classifies 82.9% of the landmasses with negligible landslide susceptibility. The non susceptible areas are broadly consistent with the "very-low" susceptibility class in existing global and continental landslide susceptibility maps and a national non-susceptibility map in the conterminous United States. Quantitative analyses revealed that population and settlements are denser within non-susceptible area than elsewhere, which makes the map of potential interest for non-exposure analysis, land planning and disaster responses at a global scale. (c) 2021 Elsevier B.V. All rights reserved.
WOS关键词HAZARD ; PREDICTION ; EVENTS ; EUROPE ; AREAS ; SCALE ; RISK
资助项目National Natural Science Foundation of China[41730645] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0208] ; China Scholarship Council[CSC201904910615] ; CNR IRPI, Perugia
WOS研究方向Physical Geography ; Geology
语种英语
WOS记录号WOS:000685523800001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Second Tibetan Plateau Scientific Expedition and Research ; China Scholarship Council ; CNR IRPI, Perugia
源URL[http://ir.igsnrr.ac.cn/handle/311030/164611]  
专题中国科学院地理科学与资源研究所
通讯作者Alvioli, Massimiliano; Tang, Qiuhong
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Italian Natl Res Council IRPf CNR, Res Inst Geohydrol Protect, Via Madonna Alta 126, I-06128 Perugia, Italy
4.Italian Natl Civil Protect Dept, Via Vitorchiano 2, I-00189 Rome, Italy
推荐引用方式
GB/T 7714
Jia, Guoqiang,Alvioli, Massimiliano,Gariano, Stefano Luigi,et al. A global landslide non-susceptibility map[J]. GEOMORPHOLOGY,2021,389:14.
APA Jia, Guoqiang,Alvioli, Massimiliano,Gariano, Stefano Luigi,Marchesini, Ivan,Guzzetti, Fausto,&Tang, Qiuhong.(2021).A global landslide non-susceptibility map.GEOMORPHOLOGY,389,14.
MLA Jia, Guoqiang,et al."A global landslide non-susceptibility map".GEOMORPHOLOGY 389(2021):14.

入库方式: OAI收割

来源:地理科学与资源研究所

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