Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 8
Page No. 2162 - 2171

Assessment of Water Quality in a Coal Burning Power Plant Area of Malaysia Using Multivariate Statistical Technique

Authors : Lubna Alam and Che Abd Rahim Mohamed

Abstract: This study presents the results of statistical analysis of a set of physico-chemical parameters measured at 3 month intervals between November 2007 and February 2009 in the coastal area of Kapar, Malaysia. The concentration of the natural radionuclide Po-210 ranged from 0.12±0.01-1.82±0.04 mBq/L and from 24.60-348.29 Bq/kg (dry weight) in the dissolved and particulate phases of water samples, respectively. In this study, multivariate statistical methods such as principal component analysis and multiple regression analysis were used to investigate the source of pollutants and determine water quality parameters as a predictor of Po-210 concentration, respectively. Based on the statistical analysis, it can be concluded that the source of pollutants in the Kapar coastal area is related to organic parameters and terrestrial input. On the other hand, pH was identified as a predictive variable for the concentration of Po-210 in the study area.

How to cite this article:

Lubna Alam and Che Abd Rahim Mohamed, 2018. Assessment of Water Quality in a Coal Burning Power Plant Area of Malaysia Using Multivariate Statistical Technique. Journal of Engineering and Applied Sciences, 13: 2162-2171.

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