Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province

YANG Liang-quan; CHEN Ai-bing; GAO Huan-zhi; XU Peng; WU Guang-ping; FENG Peng-yu

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Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province

- Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province
- Bulletin of Soiland Water Conservation Vol. 33, Issue 1, Pages: 290-295(2014)
- 作者机构：
  
  1. 北京市水利规划设计研究院,北京,100048
  2. 昆明理工大学国土资源工程学院,云南,昆明,65009
  3. 中国有色金属学会,北京,100814
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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YANG Liang-quan, CHEN Ai-bing, GAO Huan-zhi, et al. Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(1): 290-295.
DOI：

YANG Liang-quan, CHEN Ai-bing, GAO Huan-zhi, et al. Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(1): 290-295. DOI：

摘要

以滇东南云镍尾矿库工程项目为依托

根据西南山区特有的地质环境条件

并针对尾矿库自身工程特点

选取了人口、资产、资源作为地质灾害易损性的Ⅰ级评价指标

采用德尔菲法、层次分析法确定评价指标的权重值

建立广义目标数学模型。采用计算机C

程序语言

结合GIS系统开发平台进行地质灾害易损性定量评价

得到地质灾害易损性分级分区图。云镍尾矿库地质灾害易损性分为易损性极高、易损性高、易损性中等、易损性低4个区。研究成果可以为其他类似尾矿库的地质灾害易损性研究提供参考

亦可为政府区域规划、建设适宜性评价等提供科学依据。

Abstract

According to the geological environment conditions of the study area and the characteristics of the Yun nickel tailing pond

population

assets and resources are selected as the evaluation indexes of geological disaster vulnerability. Delphi method and analytic hierarchy process (AHP) are used to determine the weight value of evaluation indexes and establish a generalized mathematical model. Using computer programming language C++

combined with GIS system development platform for quantitative evaluation of vulnerability of geological disasters

this article gets graded partition map of geological disasters vulnerability. Geological disaster vulnerability of the Yun nickel tailing pond may be divided into the four grades of extreme vulnerability

high vulnerability

moderate vulnerability and low vulnerability. The research results not only provide a reference for studies of geological disaster vulnerability in other similar tailings

but also provide a scientific basis for regional planning and construction suitability evaluation by governments.

关键词

Keywords

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