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尾矿库工程地质灾害易损性评价研究——以滇东南云镍尾矿库为例
引用本文:杨良权,陈爱兵,高焕芝,徐鹏,吴广平,冯鹏宇.尾矿库工程地质灾害易损性评价研究——以滇东南云镍尾矿库为例[J].水土保持通报,2014(1):290-295.
作者姓名:杨良权  陈爱兵  高焕芝  徐鹏  吴广平  冯鹏宇
作者单位:北京市水利规划设计研究院, 北京 100048;昆明理工大学国土资源工程学院, 云南昆明 65009;中国有色金属学会, 北京 100814;昆明理工大学国土资源工程学院, 云南昆明 65009;北京市水利规划设计研究院, 北京 100048;昆明理工大学国土资源工程学院, 云南昆明 65009
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。

关 键 词:尾矿库  地质灾害  易损性  指标体系  评价模型
收稿时间:2013/4/19 0:00:00
修稿时间:5/3/2013 12:00:00 AM

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 and FENG Peng-yu.Vulnerability Assessment of Geological Disasters in Tailing Pond Engineering-A Case Study of Yun Nickel Tailing Pond in Southeast Yunnan Province[J].Bulletin of Soil and Water Conservation,2014(1):290-295.
Authors:YANG Liang-quan  CHEN Ai-bing  GAO Huan-zhi  XU Peng  WU Guang-ping and FENG Peng-yu
Institution:Beijing Institute of Hydraulic Engineering Planning and Design, Beijing 100048, China;School of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;The Nonferrous Metals Society of China, Beijing 100814, China;School of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;Beijing Institute of Hydraulic Engineering Planning and Design, Beijing 100048, China;School of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
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.
Keywords:tailing ponds  geological disaster  vulnerability assessment  index system  evaluation model
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