A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties
文献类型：期刊论文
| 作者 | Liu, Jia1,2; Wu, Yuming2; Gao, Xing2; Zhang, Xuehua3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 14期号:3页码:23 |
| 关键词 | landslide runout zone semi-empirical method diffusion angle Monte Carlo simulation kinematic uncertainties |
| DOI | 10.3390/rs14030668 |
| 通讯作者 | Wu, Yuming(wuym@lreis.ac.cn) |
| 英文摘要 | Landslides can be triggered by natural and human activities, threatening the safety of buildings and infrastructures. Mapping potential landslide runout zones are critical for regional risk evaluation. Although remote sensing technology has been widely used to discover unstable areas, an entire landslide runout zone is difficult to identify using these techniques alone. Some simplified methods based on empirical models are used to simulate full-scale movements, but these methods do not consider the kinematic uncertainties caused by random particle collisions in practice. In this paper, we develop a semi-empirical landslide dynamics method considering kinematic uncertainties to solve this problem. The uncertainties caused by the microtopography and anisotropy of the material are expressed by the diffusion angle. Monte Carlo (MC) simulations are adopted to calculate the probability of each cell. Compared with the existing Flow-R model, this method can more accurately and effectively estimate runout zones of the Yigong landslide where random particle collisions are intense. Combining the D-InSAR technique, we evaluate the runout zones in the Jinsha River from June 2019 to December 2020. This result shows that the method is of great significance in early warning and risk mitigation, especially in remote areas. The source area of the landslide and DEM resolution together affect the number of MC simulations required. A landslide with a larger volume requires a larger diffusion angle and more MC simulations. |
| WOS关键词 | DEBRIS FLOWS ; TIBETAN PLATEAU ; MODEL ; SIZE ; AVALANCHE ; SUSCEPTIBILITY ; MOBILITY ; ANALYST ; INDEX ; RIVER |
| 资助项目 | Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA23090503] ; National Key Research and Development Plan of China[YS2018YFGH000001] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000756322100001 |
| 资助机构 | Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences ; National Key Research and Development Plan of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171303]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Yuming |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Natl Disaster Reduct Ctr China, MEM, Beijing 100124, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jia,Wu, Yuming,Gao, Xing,et al. A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties[J]. REMOTE SENSING,2022,14(3):23. |
| APA | Liu, Jia,Wu, Yuming,Gao, Xing,&Zhang, Xuehua.(2022).A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties.REMOTE SENSING,14(3),23. |
| MLA | Liu, Jia,et al."A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties".REMOTE SENSING 14.3(2022):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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