Hafizan, Juahir and Norshidah, Baharuddin and Norashikin, Saim (2014) Characterization of spatial patterns in river water quality using chemometric techniques. Sains Malaysiana, 43 (9). pp. 1355-1362. ISSN 01266039
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Abstract
Water pollution has become a growing threat to human society and natural ecosystem in recent decades, increasing the need to better understand the variabilities of pollutants within aquatic systems. This study presents the application of two chemometric techniques, namely, cluster analysis (CA) and principal component analysis (PCA). This is to classify and identify the water quality variables into groups of similarities or dissimilarities and to determine their significance. Six stations along Kinta River, Perak, were monitored for 30 physical and chemical parameters during the period of 1997-2006. Using CA, the 30 physical and chemical parameters were classified into 4 clusters; PCA was applied to the datasets and resulted in 10 varifactors with a total variance of 78.06%. The varifactors obtained indicated the significance of each of the variables to the pollution of Kinta River.
Item Type: | Article |
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Uncontrolled Keywords: | Chemometrics; cluster analysis; ecosystems; principal component analysis |
Subjects: | Q Science > Q Science (General) |
Depositing User: | Syahmi Manaf |
Date Deposited: | 13 Sep 2022 04:35 |
Last Modified: | 13 Sep 2022 04:35 |
URI: | http://eprints.unisza.edu.my/id/eprint/5544 |
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