中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2017, Vol. 36 ›› Issue (6): 80-84.DOI: 10.3969/j.issn.1674-0696.2017.06.13

• 港口航道·水利水电·资源环境 • 上一篇    下一篇

基于灰色关联法的地质灾害危险性影响因子分析

杨乐1,陈杰2   

  1. (1.重庆地质矿产研究院,重庆 400042;2.重庆交通大学 河海学院,重庆 400074)
  • 收稿日期:2015-12-18 修回日期:2016-05-01 出版日期:2017-06-20 发布日期:2017-06-16
  • 作者简介:杨乐(1978—),女,重庆人,博士,硕士生导师,主要从事岩土工程及地质工程方面的研究。E-mail:446281718@qq.com。 通信作者:陈杰(1991—),男,山东滨州人,硕士研究生,主要从事水利工程方面的研究。E-mail:1548637489@qq.com。

Impact Factors Analysis of Geological Hazard Risk Based on Grey Correlation Method

YANG Le1,CHEN Jie2   

  1. (1.Chongqing Institute of Geology & Mineral Resources,Chongqing 400042,P.R.China; 2.School of River & Ocean Engineering,Chongqing Jiaotong University,Chongqing 400074,P.R.China)
  • Received:2015-12-18 Revised:2016-05-01 Online:2017-06-20 Published:2017-06-16

摘要: 以重庆万盛区某旅游度假区为例,采用灰色关联度法分析其地质灾害危险性影响因子的作用程度和因子间关系,并系统阐述了灰色关联度分析法的评价方法与模型。将该地区分成8个评价区,并选取了坡度、地层岩性、地质构造、人类活动、地下水、植被共6个影响因子,然后对影响因子进行权重计算并对其分析。结果表明:各影响因子作用程度量化排序依次为人类活动、坡度、植被、地层岩性、地下水和地质构造。人类活动和其他因子的相关性最强,地层岩性和其他因子的相关性最弱。

关键词: 地质工程, 地质灾害, 灰色关联度法, 影响因子, 权重

Abstract: Taking a tourist resort in Wansheng District of Chongqing as an example,the grey correlation analysis method was used to discuss the role of the impact factors of such geological hazards and the relationship between them,and to explain the evaluation methods and models systematically.The tourist resort was divided into 8 assessment zones.6 indices were selected as impact factors,such as slope,stratum lithology,geological structure,human activity,groundwater and vegetation; and then the weight of the above impact factors was calculated and analyzed.The results show that the order of the degree of impact factors is quantified,and the order is human activity,slope,vegetation,stratum lithology,groundwater and geological structure.Human activity has the strongest correlation with other factors,while stratum lithology has the weakest correlation with other factors.

Key words: geological engineering, geological hazard, grey correlation method, impact factors, weight

中图分类号: