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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 3277-3280
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.3277
• Online since: November 2011
• Authors: Jun Fang Gu, Chang Jun Zhu, Zhen Chun Hao
• Keywords: Baoying River, Principal Component, Water Quality

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