摘要
针对黄土沟壑区采煤引起的地质灾害问题,基于概率积分开采沉陷预计理论,结合地面坡度和地表水平变形构建黄土矿区滑坡风险评价模型,利用Arc GIS分级提取滑坡风险区域。结果表明,开采沉陷对矿区滑坡具有一定的诱导作用,且滑坡风险将随开采沉陷与地表变形量的增加而显著增大。
Aming at the geological disaster problem caused by coal mining in loess gully region, based on probability integral theory of mining subsidence prediction, ground slope and surface deformation are combined to construct evaluation model of landslide risk in loess mining area. The landslide areas of different risk levels were analyzed and extracted through AreGIS. The result shows that mining subsidence has a certain inducing effect on landslides, whose risk will become larger with the increase of the subsidence and deformation.
作者
汤伏全
芦家欣
原一哲
TANG Fu-quan, LU Jia-xin, YUAN Yi-zhe(College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, Chin)
出处
《煤炭技术》
CAS
2018年第8期123-125,共3页
Coal Technology
基金
国家自然科学基金项目(51674195)
陕西省自然科学基金项目(2016JM5048)
关键词
黄土沟壑区
采煤沉陷
GIS分析
滑坡
风险程度
loess gully region
coal mining subsidence
GIS analysis
landslide
risk degree