城市地质2025，Vol.20Issue(2)：143-149,7.DOI:10.3969/j.issn.2097-3764.2025.02.001
"23·7"特大暴雨诱发浅层滑坡特征及典型案例剖析
Analysis of shallow landslide induced by"23·7"heavy rainstorm:Taking Mentougou District in Beijing as an example
摘要
Abstract
From July 29th to August 2nd,2023,a historically rare torrential rainstorm occurred in the Beijing-Tianjin-Hebei region.The intense rainfall triggered a large number of shallow landslides.Different from typical landslides with clear perimeter boundaries and obvious deformation signs,shallow landslides often do not have the clear boundary conditions and obvious deformation and failure characteristics of typical landslides.They usually exhibit characteristics such as group occurrence,suddenness,and concealment.This article selects 35 shallow landslides in Mentougou District and studies their scale,spatial development characteristics,and vegetation characteristics,etc.The research shows that the thickness of the sliding mass of shallow landslides is usually less than 5 meters.In planar distribution,they generally present a"long-strip-shape",and the volume of the sliding mass is generally less than 5,000 cubic meters.They usually develop on slopes with a relatively high vegetation coverage rate.The main controlling factors mainly include topographic slope,relative elevation difference,planar curvature of the slope body,and slope vegetation,etc.Slopes with a slope gradient of 20°to 40°,a relative elevation difference of less than 100 meters,and a negative planar curvature of the slope body are high-incidence areas for shallow landslides.Low shrubs usually have a favorable impact on the stability of shallow landslides,while tall trees often have an adverse impact on the stability of slopes.Intense rainfall is the main influencing factor inducing shallow landslides.关键词
门头沟区/特大暴雨/浅层滑坡/滑坡灾害/诱发因素/成灾模式Key words
Mentougou District/district/extremely heavy rainstorm/shallow landslide引用本文复制引用
刘晓晓.."23·7"特大暴雨诱发浅层滑坡特征及典型案例剖析[J].城市地质,2025,20(2):143-149,7.基金项目
北京市突发地质灾害应急调查技术服务项目(11000022T000000439462)和北京地区典型滑坡预警示范研究项目(11000023T000002059415)联合资助 （11000022T000000439462）
