Application of Principal Component Analysis in Water Quality Evaluation by SPSS Software

MEMS, NANO AND SMART SYSTEMS, PTS 1-6(2012)

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摘要
In view of the defect of traditional water quality evaluation model, principal component analysis method is developed to evaluate surface water quality in Baoying country. By SPSS software, principal component model is applied to evaluate water quality at representative sections in Baoying surface area. Principal component analysis is a way to reduce orginal dimension, to make multiple variables inti a few comprehensive index. By the combination of variables index, adjusting the combinatorial coefficient to make the new variables representative independent. The process is introduced in the paper in detail. The results indicate that principal component model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control.
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关键词
water quality,principal componnet,Baoying river
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