Application and verification of a multivariate real-time early warning method for rainfall-induced landslides: implication for evolution of landslide-generated debris flows
文献类型：期刊论文
| 作者 | Yang Zongji1; Wang Liyong1,4; Qiao Jianping1; Uchimura Taro3; Wang Lin2 |
| 刊名 | LANDSLIDES
 |
| 出版日期 | 2020 |
| 页码 | DOI: 10.1007/s10346-020-01402-w |
| 关键词 | Early warning Multivariate Rainfall-induced landslide Debris flows |
| ISSN号 | 1612-510X |
| DOI | 10.1007/s10346-020-01402-w |
| 产权排序 | 1 |
| 通讯作者 | Yang, Zongji(yzj@imde.ac.cn) |
| 文献子类 | Article;Early Access |
| 英文摘要 | Rainfall-induced landslides are a frequent and often catastrophic geological disaster, and the development of accurate early warning systems for such events is a primary challenge in the field of risk reduction. Understanding of the physical mechanisms of rainfall-induced landslides is key for early warning and prediction. In this study, a real-time multivariate early warning method based on hydro-mechanical analysis and a long-term sequence of real-time monitoring data was proposed and verified by applying the method to predict successive debris flow events that occurred in 2017 and 2018 in Yindongzi Gully, which is in Wenchuan earthquake region, China. Specifically, long-term sequence slope stability analysis of the in situ datasets for the landslide deposit as a benchmark was conducted, and a multivariate indicator early warning method that included the rainfall intensity-probability (I-P), saturation (S-i), and inclination (I-r) was then proposed. The measurements and analysis in the two early warning scenarios not only verified the reliability and practicality of the multivariate early warning method but also revealed the evolution processes and mechanism of the landslide-generated debris flow in response to rainfall. Thus, these findings provide a new strategy and guideline for accurately producing early warnings of rainfall-induced landslides. |
| 电子版国际标准刊号 | 1612-5118 |
| WOS关键词 | UNSATURATED HYDROMECHANICAL BEHAVIOR ; SHALLOW LANDSLIDES ; DURATION CONTROL ; INTENSITY ; SYSTEM ; MODELS ; SLOPE |
| 资助项目 | National Natural Science Foundation of China[41771021] ; National Natural Science Foundation of China[41471012] ; Scientific Foundation of the Chinese Academy of Sciences[KFZD-SW-425] ; Scientific Foundation of the Chinese Academy of Sciences[KFJ-STS-QYZD-172] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000523099300002 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Natural Science Foundation of China ; Scientific Foundation of the Chinese Academy of Sciences |
| 源URL | [http://ir.imde.ac.cn/handle/131551/34117]  |
| 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 | Yang Zongji |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China; 2.Chuo Kaihatsu Corp, Shinjuku Ku, Tokyo 1698612, Japan 3.Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yang Zongji,Wang Liyong,Qiao Jianping,et al. Application and verification of a multivariate real-time early warning method for rainfall-induced landslides: implication for evolution of landslide-generated debris flows[J]. LANDSLIDES,2020:DOI: 10.1007/s10346-020-01402-w. |
| APA | Yang Zongji,Wang Liyong,Qiao Jianping,Uchimura Taro,&Wang Lin.(2020).Application and verification of a multivariate real-time early warning method for rainfall-induced landslides: implication for evolution of landslide-generated debris flows.LANDSLIDES,DOI: 10.1007/s10346-020-01402-w. |
| MLA | Yang Zongji,et al."Application and verification of a multivariate real-time early warning method for rainfall-induced landslides: implication for evolution of landslide-generated debris flows".LANDSLIDES (2020):DOI: 10.1007/s10346-020-01402-w. |
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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