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天水市麦积区幅黄土滑坡发育分布特征及其孕灾因素分析
引用本文:田尤,杨为民,黄晓,刘廷,李浩,向灵芝,程小杰. 天水市麦积区幅黄土滑坡发育分布特征及其孕灾因素分析[J]. 地质力学学报, 2016, 22(1): 25-38
作者姓名:田尤  杨为民  黄晓  刘廷  李浩  向灵芝  程小杰
作者单位:1.中国地质科学院地质力学研究所, 北京 100081
基金项目:中国地质调查局"西秦岭北缘断裂带天水段地震地质灾害调查评价"项目(12120114035601)
摘    要:基于野外调查和室内资料综合整理, 对天水市麦积区幅范围内438处体积大于1×104 m3的黄土滑坡进行了分类统计对比分析。研究结果表明, 麦积区幅内黄土滑坡具有空间上发育不均衡, 时间上多期活动的特点, 表现为区域上黄土滑坡分布不均匀, 各区域滑坡体平均厚度差异大, 滑坡多沿沟谷呈不对称带状分布, 滑坡多发育在坡度为15°—30°斜坡上等。受地质构造、地形地貌、地层岩性等环境地质条件控制, 幅内滑坡主要是因地震和降雨诱发形成。 

关 键 词:麦积区幅   黄土滑坡   分类   分布特征   诱发因素
收稿时间:2015-04-15

DISTRIBUTION CHARACTERISTICS AND INDUCING FACTORS OF LOESS LANDSLIDE IN MAIJI MAPPABLE UNIT, TIANSHUI
TIAN You,YANG Wei-min,HUANG Xiao,LIU Ting,LI Hao,XIANG Ling-zhi and CHENG Xiao-jie. DISTRIBUTION CHARACTERISTICS AND INDUCING FACTORS OF LOESS LANDSLIDE IN MAIJI MAPPABLE UNIT, TIANSHUI[J]. Journal of Geomechanics, 2016, 22(1): 25-38
Authors:TIAN You  YANG Wei-min  HUANG Xiao  LIU Ting  LI Hao  XIANG Ling-zhi  CHENG Xiao-jie
Affiliation:1.Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China2.School of Geosciences and Resources, China University of Geosciences, Beijing 100083, China3.College of Huihua, Heibei Normal University, Shijiazhuang 050091, China4.Chongqing Jiaotong University, Chongqing 400074, China
Abstract:According to field investigation and lab data statistics, a statistical classification is conducted on 438 loess landslides in which the volume is more than 1×104 m3 in MaiJi mappable unit.It shows that the characteristics of loess landslides are asymmetrical development in space and multiple stages in time. It is mainly reflected in the following ways: the distribution of loess landslides is inhomogeneous in regional, many differences appear in the average thickness of landslide in each region, landslides distribution is banded asymmetrical along the valleys, most landslides develop on the slopes with 15°—30°. Loess landslides in the MaiJi mappable unit are controlled by geological structure, topography and formation lithology. And Loess landslides are majorly induced by rainfall and earthquake. 
Keywords:MaiJi mappable unit  loess landslides  classification  distribution characteristics  inducing factor
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