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基于主成分-模糊层次评判的矿井水质评价方法

Evaluation of Mine Water Quality by Improved Principal Component Fuzzy Analytic Hierarchy Process
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摘要 在矿井水资源化利用过程中,需要对其水质进行综合性评价。采用比重法对原始数据进行标准化,利用主成分分析法确定评价因子,将其作为综合评价的评价因子。利用层次分析法计算各评价指标的权重,采用模糊综合法对矿井水水质评价,建立了基于主成分-模糊层次评判的矿井水水质综合评判方法,丰富对矿井水水质的综合评价方法。研究结果表明,该模型对矿井水水质评价是合理的,避免了传统方法的多指标的复杂性,评价因子选择和权重确定的主观性,为矿井水资源化利用提供科学依据。 In the process of utilization of mine water resources,it is necessary to evaluate the water quality comprehensively.The proportion method was used to standardize the original data,and the principal component analysis method was used to determine the evaluation factor,which was taken as the evaluation factor of comprehensive evaluation.The weight of each evaluation index is determined by analytic hierarchy process.The results show that the model is reasonable for the evaluation of mine water quality,avoids the complexity of multi-indexes of traditional methods,and provides scientific basis for the selection of evaluation factors and determination of weights.
作者 陈阳 高良敏 王新富 潘祥伟 周晓芳 胡玉琳 CHEN Yang;GAO Liangmin;WANG Xinfu;PAN Xiangwei;ZHOU Xiaofang;HU Yulin(School of Earth and Environment,Anhui University of Science and Technology,Huainan Anhui 232001,China;Hefei Zhuzhuanjing Sewage Treatment Plant,Hefei Anhui 230011,China)
出处 《安徽理工大学学报(自然科学版)》 CAS 2020年第2期61-66,共6页 Journal of Anhui University of Science and Technology:Natural Science
关键词 矿井水 主成分分析 模糊层次分析 综合评价 mine drainage principal component analysis fuzzy hierarchy analysis comprehensive evaluation
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