文章基本信息

标题：Application of Principal Components Analysis for Interpretation and Grouping of Water Quality Parameters
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作者：Sarita Gajbhiye ; S.K. Sharma ; M.K. Awasthi 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：4
页码：89-96
DOI：10.14257/ijhit.2015.8.4.11
出版社：SERSC
摘要：Water samples were collected from two sites (Urdana Nala and Moti Nala) in Jabalpur city, were analyzed for their physio- chemical characteristics. This analysis result was compared with the WHO & United State Sanility labolatory standards of irrigation/drinking water quality parameters with the following water quality parameters namely pH, Electrical conductivity, Cu, Cr, SO 4 , Fe, NO 3 , Chloride, TH, TA, Na. The statistical analysis like Factor Analysis (FA) and Principle Component Analysis (PCA) of obtained data were carried out. The PCA extract and to define the parameters responsible for the main variability in water quality variance for Jabalpur city. Moti Nala and Urdana Nala water constrains high Na ions. But Cu, Cr, SO 4 , Fe, NO 3 , Cl, TH are within limits. TA is higher in most of the samples. The PCA produced more important parameter NO 3 , Cr, Fe, TH, Na, EC, SO 4 , Na in Urdana Nala site. NO 3, Cu, Na, Fe, TA, pH, SO 4, TH, Cr in Moti Nala site. Finally the results of PCA reflect a good look on the water quality monitoring and interpretation of the surface water.
关键词：Principle Component Analysis; Water quality; Factor analysis