@article{MAKHILLJEAS201813816007,
    title = {Assessment of Water Quality in a Coal Burning Power Plant Area of
Malaysia Using Multivariate Statistical Technique},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {8},
    pages = {2162-2171},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.2162.2171},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.2162.2171},
    author = {Lubna and},
    keywords = {Po-210,water quality,PCA,multiple regression,predictive,concentration},
    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.}
    }