文章摘要
王守功,刘岩,石鹏飞,常利忠,张宾杰.基于数值分析的胜利东二号露天煤矿边坡稳定性分析及控制措施研究[J].矿产勘查,2026,17(S1):286-297
基于数值分析的胜利东二号露天煤矿边坡稳定性分析及控制措施研究
Numerical analysis of slope stability and control measures in the Shengli East No. 2 open-pit coal mine
投稿时间:2026-01-08  修订日期:2026-03-12
DOI:10.20008/j.kckc.2026S1033
中文关键词: 边坡稳定性  潜在滑动区  极限平衡法  敏感性分析
英文关键词: slope stability  potential sliding zone  limit equilibrium method  sensitivity analysis
基金项目:
作者单位邮编
王守功* 1内蒙古大唐国际锡林浩特矿业有限公司,内蒙古 锡林浩特 026000 026000
刘岩* 1内蒙古大唐国际锡林浩特矿业有限公司,内蒙古 锡林浩特 026000 026000
石鹏飞 1内蒙古大唐国际锡林浩特矿业有限公司,内蒙古 锡林浩特 026000 026000
常利忠 1内蒙古大唐国际锡林浩特矿业有限公司,内蒙古 锡林浩特 026000 026000
张宾杰 2北京市勘察设计研究院有限公司,北京100038 100038
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中文摘要:
      为识别露天煤矿边坡潜在滑动风险并提出针对性控制建议,本文以内蒙古锡林郭勒盟胜利东二号露天煤矿为例,基于ALOS 12.5 m DEM与边坡矢量数据提取坡度、坡向等地形因子,构建边坡分层单元并统计其几何特征;采用极限平衡法计算单元安全系数(SF),据此划分滑动风险等级,并开展坡度与分层高度参数敏感性分析。结果表明:研究区整体以0°~6°缓坡为主,坡向离散;高风险单元数量较少但空间集中于局部陡坡区,中风险单元分布广泛,显示滑动潜势具有一定延展性。敏感性分析显示SF对坡度变化更为敏感,对分层高度变化相对不敏感,坡度为边坡稳定的主控因子。研究结果可为矿区边坡分区管控、重点监测与工程治理提供依据。
英文摘要:
      To identify potential slope failure risks and provide scientific support for slope management in open-pit coal mines, the Shengli East No. 2 open-pit coal mine in Xilingol League, Inner Mongolia, was selected as a case study. Terrain attributes, including slope gradient and aspect, were derived from an ALOS 12.5 m digital elevation model (DEM) and slope vector data. Slope units were delineated through an elevation-based segmentation method, and their geometric characteristics were quantified. The safety factor (SF) of each slope unit was calculated using the limit equilibrium method (LEM), followed by slope risk classification and sensitivity analyses of slope gradient and bench height. The results show that the study area is predominantly characterized by gentle slopes (0°-6°) with highly variable slope aspects. High-risk slope units are limited in number but mainly concentrated in localized steep areas, whereas medium-risk units are more widely distributed, indicating a relatively extensive potential for slope instability. Sensitivity analysis demonstrates that SF is considerably more sensitive to changes in slope gradient than to variations in bench height, identifying slope gradient as the dominant controlling factor affecting slope stability. These findings provide a scientific basis for zoned slope risk management, targeted monitoring, and engineering mitigation in open-pit coal mines.
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