中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China

文献类型:期刊论文

作者Fan Xuanmei4; Yang Fan4; Siva Subramanian Srikrishnan4; Xu Qiang4; Feng Zetao4; Mavrouli Olga3; Peng Ming2; Ouyang Chaojun1,6; Jansen John D.4,5; Huang Runqiu4
刊名LANDSLIDES
出版日期2020
卷号17期号:1页码:147-164
关键词Disaster chain Landslide runout landslide dam breach outburst flood integrated numerical simulation
ISSN号1612-510X
DOI10.1007/s10346-019-01313-5
产权排序5
通讯作者Fan, Xuanmei(fxm_cdut@qq.com) ; Yang, Fan(youngfann@qq.com)
文献子类Article
英文摘要Successive major landslides during October and November 2018 in Baige village, eastern Tibet, dammed the Jinsha River on two occasions, and the subsequent dam breaches instigated a multi-hazard chain that flooded many towns downstream. Analysis of high-resolution aerial images and field investigations unveiled three potentially unstable rock mass clusters in the source area of the landslides, suggesting possible future failures with potential for river-damming and flooding. In order to evaluate and understand the disaster chain effect linked to the potentially unstable rock mass, we systematically studied the multi-hazard scenarios through an integrated numerical modelling approach. Our model begins with an evaluation of the probability of landslide failure, including runout and river damming, and then addresses the dam breach and resultant flood-hence simulating and visualising an entire disaster chain. The model parameters were calibrated using empirical data from the two Baige landslides. Then, we predict the future cascading hazards via seven scenarios according to all possible combinations of potential rock mass failure. For each scenario, the landslide runouts, dam-breaching, and flooding are numerically simulated with full consideration of uncertainties among the model input parameters. The maximum dam breach flood extent, depth, velocity, and peak arrival time are predicted at sequential sites downstream. As a first attempt to simulate the full spectrum of a landslide-induced multi-hazard chain, our study provides insights and substantiates the value provided by multi-hazard modelling. The integrated approach described here can be applied to similar landslide-induced chains of hazards in other regions.
电子版国际标准刊号1612-5118
WOS关键词TIBETAN-PLATEAU ; DAM ; FLOOD ; SICHUAN
WOS研究方向Engineering ; Geology
语种英语
WOS记录号WOS:000512067600011
出版者SPRINGER HEIDELBERG
源URL[http://ir.imde.ac.cn/handle/131551/33881]  
专题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
通讯作者Fan Xuanmei; Yang Fan
作者单位1.Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China;
2.Tongji Univ, Dept Geotech Engn, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai, Peoples R China;
3.Univ Twente, Fac GeoInformat Sci & Earth Observat ITC, Enschede, Netherlands;
4.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China;
5.Czech Acad Sci, GFU Inst Geophys, Prague, Czech Republic
6.Chinese Acad Sci, IMHE, Chengdu, Peoples R China;
推荐引用方式
GB/T 7714
Fan Xuanmei,Yang Fan,Siva Subramanian Srikrishnan,et al. Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China[J]. LANDSLIDES,2020,17(1):147-164.
APA Fan Xuanmei.,Yang Fan.,Siva Subramanian Srikrishnan.,Xu Qiang.,Feng Zetao.,...&Huang Runqiu.(2020).Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China.LANDSLIDES,17(1),147-164.
MLA Fan Xuanmei,et al."Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China".LANDSLIDES 17.1(2020):147-164.

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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