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昆明冶金高等专科学校学报 ›› 2023, Vol. 39 ›› Issue (4): 7-.DOI: 10.3969/j.issn.1009-0479.2023.04.002

• 资源开发与测绘 • 上一篇    下一篇

基于信息量模型及层次分析法的镇江丹徒区滑坡崩塌地质灾害易发性评价

谭燕1,2,崔雨1,2,金华丽1,2、方龙建1,2,葛 鹏1,2,付乐意3   

  1. (1.江苏省地质矿产局第三地质大队,江苏 镇江 212000; 2.镇江市地质灾害应急地质环境保护技术中心,江苏 镇江 212000; 3.浙江省核工业二六二大队,浙江 湖州 313000)
  • 收稿日期:2023-03-01 出版日期:2023-08-27 发布日期:2023-12-28
  • 作者简介:谭 燕 (1991-),女,重庆丰都人,工程师,工程硕士,主要从事程地质、地质灾害应急与地质环境保护研究。

Susceptibility Assessment of Landslide and Collapse Geological Hazardsin Dantu District of Zhenjiang Based on Information Content Model and Analytic Hierarchy Process

TAN Yan1,2,CUI Yu1,2,JIN Huali1,2, FANG Longjian1,2, GE Peng1,2, FU Leyi3   

  1. (1. The Third Ceological Brigade of Jiangsu Geological and Mineral Bureau, Zhenjiang 212000 , Jiangsu, China;2. Zhenjiang Geological Disaster Emergency Ceological Environmental Protection Technology Center,Zhenjiang 212000, Jiangsu, China; 3. Zhejiang Province Nuclear Industry 262 Brigade , Huzhou 313000, Zhejiang, China)
  • Received:2023-03-01 Online:2023-08-27 Published:2023-12-28

摘要: 采用信息量模型和层次分析法,对镇江丹徒区进行孕灾地质条件分析,选取地形起伏度、坡度、工程地质岩组、地质构造、高程、灾点密度6 个评价因子构建评价体系,计算镇江丹徒区内滑坡崩塌地质灾害易发性加权信息量值,将该区域地质灾害划分为高易发、中易发、低易发 3 个等级。计算结果与实际调查结果相吻合。评价方法为该地区地质灾害风险性评价提供了科学客观的基础数据。

关键词: 地质灾害, 易发性评价, 低山丘陵, 信息量模型, 层次分析法

Abstract: In this paper, the information content model and analytic hierarchy process are used to ana-lyze the disaster-prone geological conditions in Dantu District of Zhenjiang. Six evaluation factors, inclu.ding topographic relief, slope , engineering geological rock formation , geological structure, elevationand disaster point density, are selected to construct the evaluation system. By calculating the weightedinformation value of landslide and collapse geological disasters in Dantu District of Zhenjiang , the region-al geological disasters are divided into three levels of high , medium and low susceptibility. The calculat-ed results are in agreement with the actual survey results. This method provides scientific and objectivebasic data for geological hazard risk assessment in this region.

Key words: geological disasters, susceptibility assessment, low mountains and hills, information content model, analytic hierarchy process

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