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基于加权信息量模型的湖南省麻阳县地质灾害危险性评价与区划
引用本文:王国卫,李明波,蒋明光,罗冠枝,陈全明,王迪.基于加权信息量模型的湖南省麻阳县地质灾害危险性评价与区划[J].地质与资源,2020,29(3):266-272.
作者姓名:王国卫  李明波  蒋明光  罗冠枝  陈全明  王迪
作者单位:1. 湖南省地质灾害应急中心, 湖南 长沙 410114;2. 中国地质大学 环境学院, 湖北 武汉 430074
基金项目:湖南省自然资源厅科技计划项目,"江南丘陵区(湖南)滑坡灾害隐患早期识别技术研究及应用"(2019-19).
摘    要:以麻阳县1∶5万地质灾害详细调查数据为基础,选择地质灾害点密度、地形地貌、岩土体结构类型、地质构造、降雨、植被、人类工程活动、受威胁人数和潜在经济损失等9个因素作为评价指标,采用层次分析法对不同指标的重要性进行排序与赋权.最后基于加权信息量模型进行麻阳县地质灾害危险性评估及分区评价.研究结果表明:麻阳县主要处于地质灾害低-中等危险区,其中低、中危险区面积分别为984.44 km^2和414.08 km^2,极低危险区和高危险区分别为81.11 km^2和86.57 km^2.

关 键 词:地质灾害  危险性评价  加权信息量模型  层次分析法  湖南省
收稿时间:2019-12-16

RISK ASSESSMENT AND ZONING OF THE GEOLOGICAL HAZARDS IN MAYANG COUNTY OF HUNAN PROVINCE BASED ON WEIGHTED INFORMATION MODEL
WANG Guo-wei,LI Ming-bo,JIANG Ming-guang,LUO Guan-zhi,CHEN Quan-ming,WANG Di.RISK ASSESSMENT AND ZONING OF THE GEOLOGICAL HAZARDS IN MAYANG COUNTY OF HUNAN PROVINCE BASED ON WEIGHTED INFORMATION MODEL[J].Geology and Resources,2020,29(3):266-272.
Authors:WANG Guo-wei  LI Ming-bo  JIANG Ming-guang  LUO Guan-zhi  CHEN Quan-ming  WANG Di
Institution:1. Hunan Geological Disaster Emergency Center, Changsha 410114, China;2. School of Environment, China University of Geosciences, Wuhan 430074, China
Abstract:According to the data of 1:50 000 detailed geological hazard survey in Mayang County, 9 factors including the density of geohazard sites, landform, structure type of rock-soil mass, geological structure, rainfall, vegetation, human engineering activity, threatened population and potential economic losses are selected as the evaluation indexes, and then the analytic hierarchy process (AHP) is used to rank and weight the importance of each index. Finally, the risk assessment and zoning of geohazards are carried out based on the weighted information model. The results show that Mayang County is mainly threatened by low-medium geohazards, among which the low and medium risk areas cover 984.44 km2 and 414.08 km2 respectively, with very low and high risk areas of 81.11 km2 and 86.57 km2 respectively.
Keywords:geological hazard  risk assessment  weighted information model  AHP  Hunan Province  
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