节点文献

陕西公路边坡灾害危险性分区研究

Research on the Risk Regionalization of Highway Slope Disasters in Shaanxi Province

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 赵欢田伟平齐洪亮王福恒

【Author】 ZHAO Huan;TIAN Weiping;QI Hongliang;WANG Fuheng;Key Laboratory for Special Area Highway Engineering of Ministry of Education,Chang’an University;Transportation Professional Qualification Evaluation Center,Ministry of Transport;

【机构】 长安大学特殊地区公路工程教育部重点实验室交通运输部交通专业人员资格评价中心

【摘要】 针对陕西公路边坡灾害频发且存在区域分异的状况,对陕西公路边坡灾害进行了危险性分区研究。结合公路边坡地质与水毁灾害类型特点,分析了致灾因素,选取了危险性评价指标体系;采用云模型-AHP法和因素叠加法,计算了评价指标权重并构建了危险性评价数值计算模型;基于Arc GIS10.0软件计算生成了《陕西公路边坡灾害危险度图》,灾害危险度范围[1.4,8.375],并以危险度为指标,划分了极高[7,8.375]、高[6,7)、中[4.5,6)、低[3,4.5)、轻微[1.4,3)5种危险等级15个灾害区,其中:极高危险区为大巴山北坡地区,途径国道有G108、G210、G316,分区结果与公路边坡灾害实际相符。

【Abstract】 The risk regionalization of highway slope disasters was studied according to the status of frequent occurrence and regional differentiation of highway slope disasters in Shaanxi Province. Combined with the characteristics of geo-hazards and water damages of highway slope,risk assessment indicator system was selected through analyzing the causing disaster factors. Based on the method of cloud model-AHP and factors superposition,the weight of risk assessment indicators was calculated,and risk assessment model was also established. "Risk figure of highway slope disasters in Shaanxi province"was plotted by GIS,and risk degree was in the range of 1. 2 ~ 8. 725.In view of risk degree,the highway slope disasters in Shaanxi Province was rated into five risk levels including fifteen risk zones,namely extremely high risk area,high risk area,medium risk area,low risk area and slight risk area. The extremely high risk area was the north slope of Daba Mountain,and some national highway which included G108,G210 and G316 passed through this region. The result of risk regionalization was in accord with the actual situation of highway slope disasters in Shaanxi province.

【基金】 西部交通建设科技项目(200631800007);中交股份科技研发项目(2011-ZJKJ-04);中央高校基本科研业务费资助项目(自然科学类)(310821161014)
  • 【文献出处】 灾害学 ,Journal of Catastrophology , 编辑部邮箱 ,2016年04期
  • 【分类号】P694
  • 【被引频次】13
  • 【下载频次】290
节点文献中: 

本文链接的文献网络图示:

本文的引文网络