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。
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.
出处
《水土保持通报》
CSCD
北大核心
2014年第1期290-295,共6页
Bulletin of Soil and Water Conservation
关键词
尾矿库
地质灾害
易损性
指标体系
评价模型
tailing ponds
geological disaster
vulnerability assessment
index system
evaluation model
