首页|基于信息量模型的红寺堡区地质灾害风险性评价

基于信息量模型的红寺堡区地质灾害风险性评价

扫码查看
以吴忠市红寺堡区为研究对象,在充分利用已有资料、遥感解译和野外调查的基础上,根据红寺堡区孕灾地质条件和地质灾害发育特征,选取地形坡度、坡型和坡向,地貌类型、构造、工程地质岩组、水系和植被共8个影响因子作为评价因子,利用信息量模型对地质灾害易发性进行评价,划分出高、中、低易发区.在易发性评价的基础上,考虑实际降雨、地震、修路、矿业活动诱发范围,进行诱发要素叠加分析,将红寺堡区地质灾害危险性划分为极高、高、中和低危险区四个级别.根据危险性和易损性评价结果,开展了地质灾害风险评价,将红寺堡区地质灾害风险划分为极高、高、中、低风险四级,面积分别为21.29 km2、138.36 km2、1085.53 km2、1521.82 km2.
Risk Assessment of Geological Hazards in Hongsibao District Based on Information Model
Taking Hongsibaodistrict,Wuzhong City as the research object,based on the full use of existing data,remote sensing interpretation and field survey,and according to the geological conditions and geological hazard development characteristics,eight influencing factors including terrain slope,slope type and slope direction,geomorphic type,structure,engineering geological rock group,water system and vegetation were selected as the evaluation factors according to the disake-prone geological conditions and development characteristics of Hongshibaodistrict.The information model is used to evaluate the vulnerability of geological disasters,and the high,middle and low vulnerability areas are divided.On the basis of the susceptibility evaluation,considering the induced range of actual rainfall,earthquake,road construction and mining activities,the induced factors were superimposed analysis,and the geological hazard risk of Hongshibaodistrict was divided into four levels:extremely high,high,medium and low risk areas.According to the results of risk and vulnerability evaluation,geological hazard risk assessment was carried out,and the geological hazard risk of Hongshibaodistrict was divided into four levels:high,high,medium and low risk,with the area of 21.29km2,138.36km2,1085.53km2and 1521.82km2,respectively.

information modelHongsibao districtgeological hazardsrisk assessment

程霞、吴文忠、张佳、王辉、王国瑞、唐利君

展开 >

宁夏回族自治区国土资源调查监测院,银川 750002

宁夏回族自治区基础地质调查院,银川 750021

信息量模型 红寺堡区 地质灾害 风险性评价

宁夏回族自治区自然科学基金

2020AAC03477

2024

四川地质学报
四川省地质学会

四川地质学报

影响因子:0.314
ISSN:1006-0995
年,卷(期):2024.44(1)
  • 13