|本期目录/Table of Contents|

[1]栾婷婷,谢振华,张雪冬.露天矿山高陡边坡稳定性分析及滑坡预警技术[J].中国安全生产科学技术,2013,9(4):11-16.[doi:10.11731/j.issn.1673-193x.2013.04.002]
　LUAN Ting ting,XIE Zhen hua,ZHANG Xue dong.Stability analysis and landslide early warning technology for high and steep slope of openpit mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(4):11-16.[doi:10.11731/j.issn.1673-193x.2013.04.002]
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露天矿山高陡边坡稳定性分析及滑坡预警技术
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
9
期数:
2013年4期
页码:
11-16
栏目:
学术论著
出版日期:
2013-04-30

文章信息/Info

Title:
Stability analysis and landslide early warning technology for  high and steep slope of openpit mine
作者:
栾婷婷; 谢振华; 张雪冬
（北京科技大学土木与环境工程学院，北京100083）
Author(s):
LUAN Tingting; XIE Zhenhua; ZHANG Xuedong
(Civil and Environment Engineering School, University of Science and Technology Beijing, Beijing 100083, China)
关键词:
高陡边坡; 滑坡; 稳定性分析; 预报预警
Keywords:
high and steep slope; landslide; stability analysis; forecast and early warning
分类号:
X928.03
DOI:
10.11731/j.issn.1673-193x.2013.04.002
文献标志码:
A
摘要:
我国露天矿山的开采深度不断加大，导致了高陡边坡及滑坡事故增多。在分析边坡稳定性影响因素的基础上，对目前边坡稳定性分析常用的方法进行了总结，介绍了极限平衡分析法和可靠性分析法。从滑坡的空间、时间、强度三方面对滑坡预报预警的十余种模型的应用类型、使用方法及预警判据进行了详细归纳，并对Verhulst模型法和人工神经网络法做了重点介绍，为滑坡预警技术的研究提供重要的依据和理论支持。最后，分析并总结了露天矿山高陡边坡滑坡预警的研究趋势
Abstract:
With the increasing depth of openpit mining in China, more and more high and steep slope and landslide accidents have occurred. Base on the analysis of influence factors of slope stability, the common methods of slope stability analysis at present were summarized, including limit equilibrium analysis method and reliability analysis method. The application type, usage method and warning criterion of more than ten kinds of landslide forecast warning models were summarized from three aspects of landslide: space, time and intensity, and the Verhulst model method and artificial neural network method were focused on, which provides important basis and theoretical support for landslide early warning technology. Finally, the trend of landslide warning for high and steep slope of open pit mine was analyzed and summarized.

参考文献/References:

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备注/Memo

备注/Memo:
国家十二五科技支撑计划项目（2012BAK09B05）
更新日期/Last Update: 2013-07-11