Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China
文献类型：SCI/SSCI论文
| 作者 | Lan H. X. ; Zhou C. H. ; Wang L. J. ; Zhang H. Y. ; Li R. H. |
| 发表日期 | 2004 |
| 关键词 | the Xiaojang watershed (China) landslide landslide hazard spatial analysis GIS slope instability statistical-models |
| 英文摘要 | The Xiaojiang watershed in Southwest China has high landslide hazard and has been given the title of "the Museum of Geohazards in China". However, the available information on landslides in the Xiaojiang watershed is still limited. We constructed the essential spatial database of landslides using the GIS techniques. The quantitative relationships between landslides and factors affecting landslides are established by the Certainty Factor model (CF). The affecting factors such as lithology, structure, slope angle, slope aspect, elevation and off-fault distance are recognized. By applying CF value integration and landslide zonation, the most significant affecting factors are selected. The widespread landslide activities in the Xiaojiang watershed are caused and triggered by heavy rain. A promising approach to modeling the spatial distribution of rainfall-triggered landslide is combining the mechanistic infinite slope stability model with a hydrological model. A model modified from Stability INdex Mapping (SINMAP) is used to prepare the landslide susceptibility maps for different rainfall conditions. Information on these maps could be useful for explaining the known existing landslide, making emergency decisions and relieving the efforts on the avoidance and mitigation of future landslide hazards. (C) 2004 Elsevier B.V. All rights reserved. |
| 出处 | Engineering Geology |
| 卷 | 76 |
| 期 | 1-2 |
| 页 | 109-128 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0013-7952 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23701]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Lan H. X.,Zhou C. H.,Wang L. J.,et al. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. 2004. |
入库方式： OAI收割
来源：地理科学与资源研究所
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