模糊-主成分分析综合评价法在地下水水质评价中的应用

主成分分析法可以在保留数据原始信息的基础上有效地降低数据维度，从而将影响地下水质的多因子简化为几个综合因子，但对地下水的综合水质状况无法直接表达；模糊综合评价法能直接给出水体综合水质情况结论，但评价因子多为人为选取，存在较强的主观性。以辽宁思山岭矿区地下水水质现状评价为例，利用主成分分析法选取影响各断面水质的关键因子，将其作为模糊综合评价的评价因子，建立了模糊?主成分分析综合评价法的地下水水质耦合评价模型。研究结果表明，该模型能很好地体现分析因子对评价结果带来的影响，使得评价结果更科学、合理。

Application of Fuzzy Comprehensive Evaluation Method-Principal Component Analysis to Groundwater Quality Evaluation

Principal components analysis,based on which,data dimensions can be effectively reduced while keeping original information,which will reduce groundwater quality factors to a few more comprehensive factors. However,the expression of comprehensive water quality status of groundwater can't be made directly. Fuzzy comprehensive evaluation method can be obtained with synthetic water quality objective,but the evaluation factors are frequently selected too subjectively. In view of this,this paper took the groundwater quality evaluation of Liaoning SI mountain mining area as an example,using principal component analysis method to select the key factors affect the water quality section,which will be used as evaluation factors of fuzzy comprehensive evaluation,and establishes the coupling model of groundwater quality assessment based on principal component analysis-fuzzy comprehensive evaluation method. Research results showed that the model can epitomize the impact of factor analysis on the evaluation results,making the results more scientific and rational.