主成份分析法在二滩水质监测数据综合分析中的应用实例

以二滩水质监测数据为例，运用主成份分析法对大量的水质监测数据进行综合分析。结果表明，影响二滩水库水质质量的主要因素分别为水土流失、水中有机污染、水体富营养化以及人畜粪便污染。通过实例分析可以看出，主成份分析法能够正确而全面地定量化反映出常规统计方法所无法反映的监测数据或监测指标之间内在的关系，在环境监测数据的综合分析中有着其它方法无法比拟的优势。

Case Study of Application of Principal Component Analysis for Comprehensive Analysis of Water Quality in the Ertan Reservoir

In this paper,the method of principal component analysis was applied in comprehensively analyzing large quantity of water quality data in the Ertan reservoir,The results showed that the main factors,which affect water quality in the Ertan reservoir,were ranked in decrease order as soil erosion,common organic pollution,water eutrophication and feces pollution of human and living stock. It is concluded by this case study that the method of principal component analysis can correctly,comprehensively and quantitatively reflects the complicated relations between the environmental monitoring data and/or the environmental monitoring items.The method possesses overwhelming advantages in the comprehensive analysis of environment monitoring data which other methods cannot compare with.