灾害学2024，Vol.39Issue(1)：45-50,6.DOI:10.3969/j.issn.1000-811X.2024.01.008
白龙江流域大型高位滑坡成灾动力过程模拟研究
Numerical Simulation Study on Kinematic Post-failure Process of Large-scale Landslide in the Bailong River Basin
摘要
Abstract
Being characterized by high and steep slopes,and with a large number of landslides located in high position,The Bailong River basin is highly prone to geological disasters in China.The Beishan landslide is an ancient landslide on left bank of Bailong River in Lijie Town,Zhouqu County,which has been deformed and dam-aged many times in history.The height difference between the toe of rupture surface and the river surface is about 700 m.By means of data collection,remote sensing interpretation and field investigation,the geological environ-ment and failure characteristics of the Beishan landslide are identified,and numerical sinmulation of the post-fail-ure process is carried out based on the smooth particle hydrodynamics and equivalent fluid model to predict and an-alyze the remote disaster-causing hazard.The results show that if the Beishan landslide may produce a rapid ava-lanche with run-out distance of 1 600 m,maximum movement speed of 45.7 m/s,entrainment volume of 777 000 m3,and expansion coefficient of 1.32.The sliding mass will completely stop moving and accumulate after about 200s,and the accumulation area will be 2.2×105 m2,covering half of Lijie town at the foot of the slope.The maximum accumulation thickness is 17.8 m and the maximum impact velocity is 30 m/s,which may cause sig-nificant casualties and property loss.The study provide a quantitative basis for risk zoning of the Beishan landslide,and provide an important reference for risk assessment of large-scale landslides in the Bailong River Basin.关键词
大型滑坡/变形破坏特征/高速远程/运动过程/数值模拟Key words
large-scale landslide/failure characteristics/rapid and long-runout/kinematic process/nu-merical simulation分类
环境科学引用本文复制引用
冯振,游杨,陈亮,王立朝..白龙江流域大型高位滑坡成灾动力过程模拟研究[J].灾害学,2024,39(1):45-50,6.基金项目
中国地质调查局地调项目(DD20190645 （）
DD20221748) （）
贵州电科院科技项目(GZKJXM20220055) （GZKJXM20220055）
