| 时间: 2021-01-10 | 次数: |
孟田, 许晓露, 刘汉湖.基于斜坡单元优化的高海拔地区滑坡危险性评价[J].河南理工大学学报（自然科学版）,2021,40(1):65-73.
MENG T, XU X L, LIU H H.Landslide risk assessment in high altitude areas based onslope unit optimization ：[J].Journal of Henan Polytechnic University(Natural Science) ,2021,40(1):65-73.
基于斜坡单元优化的高海拔地区滑坡危险性评价——以金沙江白格滑坡为例
孟田, 许晓露, 刘汉湖
成都理工大学 国土资源部地学空间信息技术重点实验室，四川 成都 610059
摘要:为了开展高海拔、人员难以到达地区滑坡危险性评价，以金沙江白格滑坡为例，利用遥感影像，通过设置最佳填洼阈值、集水面积阈值来消除斜坡单元的误差直线，优化斜坡单元，采用优化后的斜坡单元对研究区进行危险性划分，评价效果有所提高。研究结果表明，研究区有 80.95%的验证滑坡位于较高危险性和高危险性区内，验证滑坡集中率为2.266 ，较好集中了滑坡危险性分布特点。白格滑坡危险性指数为0.75 ，属于高危险性滑坡区，高危险性滑坡区还涉及江达县14个村庄和白玉县12个村庄，对此类地区应加强防范意识、完善应急设施。
关键词:层次分析法;斜坡单元;滑坡危险性;地理信息系统
doi:10.16186/j.cnki.1673-9787.2019100024
基金项目:国家自然科学基金资助项目（41102225 ）；四川省自然科学研究重点项目（18ZA0061）
收稿日期:2019/10/11
修回日期:2020/03/21
出版日期:2021/01/15
Landslide risk assessment in high altitude areas based onslope unit optimization ：Taking the Baige landslide in Jinsha River as an example
MENG Tian, XU Xiaolu, LIU Hanhu
Key Laboratory of Ministry of Land and Resources for Geoscience Spatial Information Technology， Chengdu University of Technology， Chengdu 610059 ， Sichuan， China
Abstract:In order to carry out landslide risk analysis in such high altitude areas as difficult for people and vehicles to reach by using remote sensing images， taking the Baige landslide in Jinsha River as an example， the best filling threshold and catchment area threshold were set to eliminate the error line of slope unit， to optimize the slope unit， to divide the risk of the study area by using the optimized slope unit， and improved the evaluation effect. The results showed that 80.95% of the verified landslide located in the study area was in a high- risk and higher-risk area， the landslide concentration rate was 2. 266 ， which better concentrated the distribution characteristics of landslide risk. The risk index of Baige landslide was 0. 75 ，where belonged to high-risk landslide area. The high-risk area also involved 14 villages in Jiangda county and 12 villages in Baiyu county. It was recommended that the prevention awareness and emergency settings should be improved in such areas.
Key words:analytic hierarchy process;slope unit;landslide risk assessment;geographic information system
