秦岭钒矿集中开采区隐蔽性地质灾害早期识别研究
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摘要
秦岭矿产资源开采区地质灾害具有形成条件复杂、隐蔽性强与识别难等特点。如何识别隐蔽性地质灾害是一难点。通过秦岭钒矿开采区地质灾害详细调查,主要从斜坡体岩性组合特征、斜坡岩体结构特征、高程、坡型、坡度以及采矿活动六个方面总结了该区域地质灾害发育规律。在此基础上,结合无人机航拍室内解译提出了一套适用于该地区的隐蔽性斜坡灾害早期识别方法,从而为矿山斜坡灾害预警与防治提供理论依据和技术支持。
Geological hazards in the mineral resources mining area of Qinling have the characteristics of complicated formation conditions,concealment and identification difficulties. How to identify hidden geological hazards is a difficult point. Based on the survey of the geological hazards in the vanadium mining area in Qinling,we summarize the regularity of the geological hazards in this area mainly from the characteristics of the slope rock mass composition,the characteristics of the rock mass structure,elevation,slope shape,the angle of slope and mining activities. On this basis,combined with remote sensing interpretation of UAV,formed a set of suitable methods for early identification of geological disasters in this area and provides technical support and theoretical basis for early warning and prevention of mine slope hazards.
Geological hazards in the mineral resources mining area of Qinling have the characteristics of complicated formation conditions,concealment and identification difficulties. How to identify hidden geological hazards is a difficult point. Based on the survey of the geological hazards in the vanadium mining area in Qinling,we summarize the regularity of the geological hazards in this area mainly from the characteristics of the slope rock mass composition,the characteristics of the rock mass structure,elevation,slope shape,the angle of slope and mining activities. On this basis,combined with remote sensing interpretation of UAV,formed a set of suitable methods for early identification of geological disasters in this area and provides technical support and theoretical basis for early warning and prevention of mine slope hazards.
引文
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[3]范立民.关注山区重大地质灾害隐患的早期识别[C]//秦巴山区地质灾害与防治学术研讨会论文集.西安:陕西省地质调查院,2015:6-7.
[4]李凯.陕西山阳县中村钒矿区滑坡形成机理及早期识别研究[D].西安:长安大学,2017.
[5]孔志岗.潜在斜坡地质灾害研究[D].昆明:昆明理工大学,2007.
[6]易靖松.川东红层滑坡的形成条件与早期识别研究[D].成都:成都理工大学,2015.
[7] Schuster R L and Krizek R J. landslides:analysis and control,transportation research board,geol. soc. of science,washington.D. C,special Report 176,铁道部科学研究院西北研究所译,滑坡的分析与防治[M].北京:中国铁道出版社,1987.
[8]《工程地质手册》编写组,工程地质手册(第一版)[M].北京:中国建筑工业出版社,1975.
[9]徐邦栋.滑坡分析与防治[M].北京:中国铁道出版社,2001.
[10]邵铁全.滑坡地质灾害超前地质预判技术研究[D].西安:长安大学,2006.
[11]何满潮,武雄,鹿粗,等.“滑坡岩体”鉴别的实验方法研究[J].岩石力学与工程学报,2003,22(4):630-632.
[12]褚宏亮.三维激光扫描技术在地质灾害调查、形变监测和早期识别方面的研究[D].北京:中国地质大学(北京),2016.
[13]杨海龙,樊晓一,张友谊,等.山阳烟家沟滑坡成因机制与运动特征研究[J].路基工程,2016(6):30-35.
[14]邓茂林.视倾向滑移型滑坡形成条件与失稳机理研究——以重庆武隆鸡尾山滑坡为主[D].成都:成都理工大学,2014.
[15] LI X Q,CHEN Z A,ZHANG L T,et al. Construction and Accuracy Test of a 3D Model of Non-Metric Camera Images Using Agisoft PhotoScan[J]. Procedia Environmental Sciences,2016,36:184-190.
[16]高姣姣.高精度无人机遥感地质灾害调查应用研究[D].北京:北京交通大学,2010.
[17]王慧. PhotoScan在无人机遥感影像数据处理中的应用[J].测绘与空间地理信息,2017,40(5):109-111.