摘要
为了准确评价煤矿塌陷水域水质,采用主成分分析法和模糊综合评价法2种方法并进行改进,构建煤矿塌陷水域水质综合评价模型。选择了淮南潘集矿区14个大型塌陷水域,布设采样点对水质采样监测,综合评价塌陷水域水质污染现状。评价结果显示,改进后的主成分分析法计算的第一主成分方差贡献率显著提高,方差贡献率达98%;第一主成分方差贡献率大于85%,采用第一主成分所有指标作为模糊综合评价法评价因子,评价结果显示各塌陷水域受到了不同程度的污染。由于选取了统一的评价指标项,同类型塌陷水域的水质评价结果具有可比性,评价结果可以为合理规划利用塌陷水域水资源、建设淮南"平原水库"提供基础资料。
In this paper, to accurate assess the water quality in subsided water area of coal mine, the methods of principal component analysis and fuzzy comprehensive assessment are adopted and mended to establish comprehensive evaluation model for water quality of subsided water area. 14 large-scale subsided water areas in Panji mining area of Huainan have been chosen to layout sampling sites and conduct sampling and monitoring for assessing the pollution status of water quality in subsided water area. The assessment results show that variance contribution rate of PC 1 (first principal component) has been increased significantly after being improved, and enhanced to 98%. When the variance contribu- tion rate of PCI has exceed 85%, the whole indexes of PC1 are chosen as evaluation factors of fuzzy comprehensive assessment model to assess water quality, the assessment results show that all of sub-sided water areas have been polluted in various degree. Because the unified evaluation indexes have been chosen to assess water quality, the assessment results of the same type subsided water areas are comparable, and the results can be used as the foundation data for programming and utilizing subsided water resources and constructing "plain reservoir" in Huainan.
出处
《采矿与安全工程学报》
EI
北大核心
2012年第4期549-554,共6页
Journal of Mining & Safety Engineering
基金
教育部高校博士点基金项目(20070361002)
安徽省国际合作计划项目(10080703026)
关键词
主成分分析法
模糊综合评价法
潘集矿区
塌陷水域
水质综合评价及利用
principal component analysis, fuzzy comprehensive assessment. Panji mining area,subsided water area, comprehensive assessment of water quality and utilization