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  顾全,周正华,李永义,史学磊,高桥千明.白鹤坪边坡稳定性分析[J].震灾防御技术,2017,12(3):529-538, DOI:10.11899/zzfy20170309.

白鹤坪边坡稳定性分析
摘要:    边坡监测可为掌握边坡变形特征和规律提供依据,指导在边坡发生严重变形时的应急处理。白鹤坪边坡是三峡库区的典型边坡,依据边坡的变形特征定性地认为该边坡为潜在的推移式滑坡。1998年调查发现白鹤边坡存在一定的滑移,为了对其实施监测预报、预警,减轻因其滑动而引起的地质灾害,在该边坡上建立了由10个GPS观测点组成的边坡位移观测系统,以监测边坡的变形。本文以2014年5月至2016年4月近两年的白鹤坪边坡变形观测系统所获得的位移数据为基础,对边坡的位移变形进行了统计,并结合数值模拟分析了边坡的水平向相对位移。分析表明,在边坡由缓变陡处变形显著增加,边坡现处于基本稳定状态,其变形主要受降雨影响,每年汛期时(5-10月)边坡变形量偏高。其次为库水作用影响,江水对坡脚冲蚀,使边坡前缘局部产生了小规模崩滑现象。
作者单位
顾全 南京工业大学交通运输工程学院, 南京 210009 
周正华 南京工业大学交通运输工程学院, 南京 210009 
李永义 南京工业大学交通运输工程学院, 南京 210009 
史学磊 中国地质调查局水文地质环境地质调查中心, 河北保定 071051 
高桥千明 太平洋咨询公司, 东京, 日本 
关  键  词:位移监测  GPS  滑坡  变形特征  数值模拟
DOI:10.11899/zzfy20170309
基金项目:国家自然科学基金项目(41374049),国家自然科学基金青年项目(51308291)
收稿日期:2017-05-31
作者简介:顾全,男,生于1989年。硕士研究生。主要从事边坡稳定性研究。E-mail:guquan2012@sina.com
通讯作者:周正华,男,生于1962年。研究员,博导。研究领域:防灾减灾与防护工程。E-mail:bjsmoc@163.com
Stability Analysis of Baiheping Slope
Abstract:      The slope monitoring is useful in providing the basic information for the slope deformation characteristics and regularity of the slope. It can help us to deal with emergencies under the condition of severe deformation of the slope. Baiheping slope is a typical one in the Three Gorges Reservoir area. The slope is considered to be a potential traction type based on deformation characteristics of the slope. There was a certain slip along Baiheping slope by the survey in 1998. In order to predict and prevent the potential geological disasters caused by sliding, a slope displacement monitoring system composed of 10 GPS observation sites was set up to monitor the deformation of the slope. Based on the displacement data from the Baiheping slope deformation monitoring system from May 2014 to April 2016, we analyzed the horizontal relative displacement of the slope combined with numerical simulation. Our results show that the slope deformation is significantly increased in the part where sharp dip tend to be gently and the slope is in a stable state. The slope deformation is mainly affected by rainfall. The slope has a relatively high slope deformation in annual flood season (May to October). Moreover, due to river erosion on the slope, a small scale landslide appears in the front of the slope under the action of reservoir water.
Keywords:  Displacement monitoring  GPS  Landslide  Deformation characteristics  Numerical simulation
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