doi:10.16186/j.cnki.1673-9787.2019100024

Received:2019/10/11

Revised:2020/03/21

Published: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

 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.pdf