引用本文:刘任鸿, 李明辉, 邓英尔, 朱华平, 黄勇, 胡淑杰.基于GIS的华蓥市地质灾害易发性评价[J].沉积与特提斯地质,2021,41(1):129-136.[点击复制]
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基于GIS的华蓥市地质灾害易发性评价
刘任鸿,李明辉,邓英尔,朱华平,黄勇,胡淑杰
0
(1. 成都理工大学环境与土木工程学院, 四川 成都 610059;
2. 中国地质调查局成都地质调查中心, 四川 成都 610081)
摘要:
本文基于四川华蓥市最新的地质灾害数据和野外地质数据,选取坡度、坡向、坡高、工程地质岩组、断层、河流影响距离、道路和采矿活动等8个影响因素,采用信息量模型,在进行评价因子分析的基础上,通过GIS空间分析平台,对华蓥市开展地质灾害易发性评价。评价结果显示,研究区可划分为高易发、中易发、低易发和极低易发四个区,分别占研究区面积的17.31%、27.63%、32.66%和22.40%。通过采用受试者工作特征曲线(ROC)的线下面积(AUC)进行检验,其值为72.50%,评价结果良好,能够为华蓥市地质灾害易发性评价提供理论指导和技术参考。
关键词:  GIS  信息量模型  地质灾害  易发性评价
DOI:10.19826/j.cnki.1009-3850.2020.08001
附件
投稿时间:2020-07-19修订日期:2020-08-31
基金项目:中国地质调查局项目(DD20190524,DD20160249)资助;国家重点研发计划(2018YFC1505406)
GIS assessments of geologic hazards in Huaying City, Sichuan
Liu Renhong, Li Minghui, Deng Ying'er, Zhu Huaping, Huang Yong, Hu Shujie
(1. College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, China;
2. Chengdu Center, China Geological Survey, Chengdu, 610081, Sichuan, China)
Abstract:
Based on the latest geological disaster database and field geological investigation, this paper has done a study about GIS assessments of geologic hazards in Huaying City, Sichuan Province. Eight factors, including slope gradient, slope direction, slope height, the engineering geological group, fault, river impact distance, road and mining activity, are selected as evaluation factors. Based on evaluation factor analyses and GIS data models, the evaluation of geological disaster susceptibility is carried out. The results show, according to the degrees of geologic hazards, the studied area can be divided into high, moderate, low, and extremely low geological hazardous sub-areas, which take an area proportion of 17.31%, 27.63%, 32.66% and 22.40%, respectively. Through testing the off-line area (AUC) by receiver operating characteristic curve (ROC), the value is 72.50%, implying our study results can provide a theoretical guidance and technical reference for the evaluation of geological disaster susceptibility in Huaying City.
Key words:  GIS  information value model  geological hazard  susceptibility evaluation

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