| 贵州省六盘水市钟山区地质灾害危险性模糊评判 |
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| 引用本文： | 游桂芝,鲍大忠.贵州省六盘水市钟山区地质灾害危险性模糊评判[J].中国地质灾害与防治学报,2009,20(4):60-65. |
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| 作者姓名： | 游桂芝 鲍大忠 |
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| 作者单位： | 贵州省有色地质勘查局二总队,贵州,六盘水,553004 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 贵州省六盘水市钟山区为地质灾害典型区，但以往地质灾害研究方面工作程度相对较低，影响了该区地质灾害的有效防治和社会发展规划的有序进行。本文在钟山区地质灾害规划现状调查的基础上，总结了该区地质灾害形成原因和影响因素，最终选取地形坡度、岩组结构、植被覆盖率、人类工程活动、降雨量、地震共六个主要地质灾害影响因素作为评价因素集，利用灰色关联度法确定各影响因子的权重，运用模糊综合评判方法对钟山区内每个网格单元进行模糊综合评判，根据最大隶属度原则得出每个网格单元的隶属度值作为危险性评价结果，按照地质灾害危险性等级对该区进行危险性定量区划。此区划评价结果可供今后该区地质灾害防治、发展规划参考。
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| 关 键 词： | 影响因素 灰色关联度法 模糊综合评判法 地质灾害 贵州省六盘水市钟山区 |
Geological Hazard in Zhongshan District of Liupanshui City, Guizhou Province using Fuzzy Comprehensive Evaluation Method |
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| YOU Gui-zhi,BAO Da-zhong.Geological Hazard in Zhongshan District of Liupanshui City, Guizhou Province using Fuzzy Comprehensive Evaluation Method[J].The Chinese Journal of Geological Hazard and Control,2009,20(4):60-65. |
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| Authors: | YOU Gui-zhi BAO Da-zhong |
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| Institution: | (Second Corps, Guizhou Non-ferrous Metal Geological Exploration Bureau, Liupanshui 553004, China) |
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| Abstract: | Zhongshan District of Liupanshui City is a typical area of geological disasters, however, the work in geological disasters was conducted at a low level in the past, it affected the effective prevention and control of geological disasters and social development plan. This paper summed up the causes and impact factors on the basis of investigating the status of geological disasters, ultimately selected the terrain slope, rock structure, vegetation coverage, human engineering activities, rainfall, earthquake as six main elements for evaluating factors set. The author determined the weight for each impact factor with the gray relational grade, and evaluated each grid cell with fuzzy comprehensive evaluation method, then deduced membership value as the results of risk assessment with principle of maximal feudatory to every grid cell. The author divided the area to different risk-level zone, which can supply reference for the work of geological hazards prevention and development planning in the are. |
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| Keywords: | influence factors gray correlation degree method fuzzy comprehensive evaluation method geological hazards Zhongshan District Liupanshui City Guizhou province |
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