Characterization of spatial patterns in river water quality using chemometric techniques
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...
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ukm-76702016-12-14T06:44:49Z http://journalarticle.ukm.my/7670/ Characterization of spatial patterns in river water quality using chemometric techniques Norshidah Baharuddin, Nor’ashikin Saim, Sharifuddin M. Zain, Hafizan Juahir, Rozita Osman, Aziah Aziz, 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. Universiti Kebangsaan Malaysia 2014-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7670/1/09_Norshidah.pdf Norshidah Baharuddin, and Nor’ashikin Saim, and Sharifuddin M. Zain, and Hafizan Juahir, and Rozita Osman, and Aziah Aziz, (2014) Characterization of spatial patterns in river water quality using chemometric techniques. Sains Malaysiana, 43 (9). pp. 1355-1362. ISSN 0126-6039 http://www.ukm.my/jsm/ |
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Universiti Kebangasaan Malaysia |
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Online Access |
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English |
description |
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. |
format |
Article |
author |
Norshidah Baharuddin, Nor’ashikin Saim, Sharifuddin M. Zain, Hafizan Juahir, Rozita Osman, Aziah Aziz, |
spellingShingle |
Norshidah Baharuddin, Nor’ashikin Saim, Sharifuddin M. Zain, Hafizan Juahir, Rozita Osman, Aziah Aziz, Characterization of spatial patterns in river water quality using chemometric techniques |
author_facet |
Norshidah Baharuddin, Nor’ashikin Saim, Sharifuddin M. Zain, Hafizan Juahir, Rozita Osman, Aziah Aziz, |
author_sort |
Norshidah Baharuddin, |
title |
Characterization of spatial patterns in river water quality
using chemometric techniques |
title_short |
Characterization of spatial patterns in river water quality
using chemometric techniques |
title_full |
Characterization of spatial patterns in river water quality
using chemometric techniques |
title_fullStr |
Characterization of spatial patterns in river water quality
using chemometric techniques |
title_full_unstemmed |
Characterization of spatial patterns in river water quality
using chemometric techniques |
title_sort |
characterization of spatial patterns in river water quality
using chemometric techniques |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2014 |
url |
http://journalarticle.ukm.my/7670/ http://journalarticle.ukm.my/7670/ http://journalarticle.ukm.my/7670/1/09_Norshidah.pdf |
first_indexed |
2023-09-18T19:50:18Z |
last_indexed |
2023-09-18T19:50:18Z |
_version_ |
1777406174300209152 |