Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China
文献类型：期刊论文
| 作者 | Zhou Qi1; Xu Qiang1; Peng Dalei1; Fan Xuanmei1; Ouyang Chaojun2,3 ; Zhao Kuanyao1; Li Huajin1; Zhu Xing1
|
| 刊名 | LANDSLIDES
 |
| 出版日期 | 2020 |
| 页码 | DOI: 10.1080/15569543.2020.1780615 |
| 关键词 | Loess landslide Numerical simulation Maximum likelihood estimation Parameter probability Spatial distribution |
| ISSN号 | 1612-510X |
| DOI | 10.1080/15569543.2020.1780615 |
| 产权排序 | 2 |
| 文献子类 | Article;Early Access |
| 英文摘要 | Landslide disasters are associated with severe losses on the Loess Plateau of China. Although early warning systems and susceptibility mapping have mitigated this issue to some extent, most methods are qualitative or semi-quantitative in the site-specific range. In this paper, a quantitative spatial distribution model is presented for site-specific loess landslide hazard assessment. Coupled with multi-temporal remote sensing images and high-precision UAV cloud point data, a total of 98 loess landslides that have occurred since 2004 on the Heifangtai terrace were collected to establish a landslide volume-date and retreating distance database. Eleven loess landslides are selected to construct a numerical model for parameter back analysis, and the accuracy of the simulation results is quantitatively evaluated by the centroid distance and overlapping area. Different volumes and receding distance rates of landslides are fitted to determine the relationship between cracks and potential volume, and different volumes and parameters are combined to simulate the spatial distribution of potential loess landslides. The results of this study reveal that landslide volumes mainly range between 1 x 10(3)and 5 x 10(5)m(3), and the historical occurrence probability reaches 0.551. The optimal parameters are estimated by the maximum likelihood method to obtain a uniform distribution parameter value probability model, and the results show that the error of the estimated length within a range of 0.05 from the optimal parameter does not exceed 15%. In the selected slope slide case, farmland near the toe of the slope primarily includes exposed hazards with probabilities greater than 0.7. This work provides a useful reference for local disaster reduction and a theoretical methodology for hazard assessments. |
| 电子版国际标准刊号 | 1556-9551 |
| 语种 | 英语 |
| WOS记录号 | WOS:000548075300001 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46852]  |
| 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 | Xu Qiang; Peng Dalei |
| 作者单位 | 1.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu 610059, Peoples R China; 2.Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China; 3.Chinese Acad Sci, Inst Mt Hazards & Environm IMHE, Chengdu 610041, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou Qi,Xu Qiang,Peng Dalei,et al. Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China[J]. LANDSLIDES,2020:DOI: 10.1080/15569543.2020.1780615. |
| APA | Zhou Qi.,Xu Qiang.,Peng Dalei.,Fan Xuanmei.,Ouyang Chaojun.,...&Zhu Xing.(2020).Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China.LANDSLIDES,DOI: 10.1080/15569543.2020.1780615. |
| MLA | Zhou Qi,et al."Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China".LANDSLIDES (2020):DOI: 10.1080/15569543.2020.1780615. |
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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