【摘要】 常规的水质评价方法有很多因不能克服由于涉及因子过多而造成某些重要信息被掩盖的缺陷,而主成分分析法能从众多变量中剔除具有相关性的因子,筛选出主要少数独立综合因子,且这些综合因子能对研究结论做出充分合理的解释。应用主成分分析法,借助Statistical Product and ServiceSocutions(SPSS)软件,对2009年温榆河10个监测断面的7项水质指标进行了分析。通过水质评价综合得分的结果可以看出,在10个监测断面中,丁家坟的污染程度最大。从水质监测数据及其评价结果来看,说明主成分分析结果能真实地反映水质实际情况。更多还原

【Abstract】 There are many ways of water quality assessment,but not all of them can solve the problem that certain important information have been covered up by much more factors.Principal component analysis can remove relevant factors from many variables,select a small number of independent integrated factors,which can make reasonable explanation.In this paper,principal component analysis are used,through SPSS software,to analyze seven water quality indicators in ten monitoring sections of the Wenyu river.Results show that in ten monitoring sections,the maximum pollution level is in Dingjiafen.It is concluded that principal component analysis can reflect the actual water quality situation in comparison with water quality monitoring data,.更多还原