广泛发育于我国西部高寒山区的散粒体斜坡,与崩塌、泥石流等地质灾害伴生形成灾害链,其规模大小与产屑率息息相关。为了研究散粒体斜坡的产屑率及其预警级别,以中巴公路和天山公路为例,利用三维激光扫描技术对比不同时期点云数据计算产屑率,通过简化条件建立监测预警模型,得出清理时间间隔公式和预警级别判定标准,对比5处散粒体斜坡实例计算结果,得到的预警级别基本与现场调查情况相符。研究成果可供估计散粒体斜坡清理时间和防治工程设计时参考。

Extensively developed in the high and cold mountainous areas in west China, granular soil slopes give rise to disaster chains accompanied with collapses and debris flows. The scale of such disaster chain is closely related with the debris yield rate of granular soil slope. With the Sino-Pakistan highway and the Tianshan highway as case study, we investigated the debris yield rate by comparing the point-cloud data in different time periods via 3D laser scanning approach, and further built a monitoring and results of early-warning model to obtain the cleaning time intervals and the criteria of early-warning levels. By comparing the predicted early-warning levels of five granular soil slopes, we found that the predicted results are in general consistent with in situ survey results. The research findings can be taken as reference for estimating the cleaning time duration and the design of prevention and control of granular soil slopes.