Spatial variation assessment of Malacca River water quality using multivariate statistical analysis

This study evaluates the spatial variation of river water quality and identifies major sources of water pollution along Malacca River using cluster analysis, discriminant analysis and principal component analysis. The data sets contain 23 water quality parameters from seven monitoring stations ove...

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Main Authors: Sh. Nurshafazillah Rosli, Ahmad Zaharin Aris, Nik M. Majid
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2015
Online Access:http://journalarticle.ukm.my/8691/
http://journalarticle.ukm.my/8691/
http://journalarticle.ukm.my/8691/1/44_1_03.pdf
id ukm-8691
recordtype eprints
spelling ukm-86912016-12-14T06:47:54Z http://journalarticle.ukm.my/8691/ Spatial variation assessment of Malacca River water quality using multivariate statistical analysis Sh. Nurshafazillah Rosli, Ahmad Zaharin Aris, Nik M. Majid, This study evaluates the spatial variation of river water quality and identifies major sources of water pollution along Malacca River using cluster analysis, discriminant analysis and principal component analysis. The data sets contain 23 water quality parameters from seven monitoring stations over a ten-year monitoring period (2002-2011). The seven stations were grouped based on similar characteristics of sampling stations using cluster analysis into low-polluted sites, moderately-polluted sites and highly-polluted sites. In discriminant analysis, the original 23 parameters were reduced to 12 and 15 of the most significant pollutants in forward and backward stepwise mode, respectively. In principal component analysis, the results showed that pollution sources for moderately-polluted sites and highly-polluted sites are related to point sources and non-point sources while in low-polluted sites, pollution is mainly due to non-point sources. This study demonstrates the effectiveness of multivariate statistical method for assessment and interpretation of bulky and complex river water quality data in order to design a better supervision network for successful management of water resources. Penerbit Universiti Kebangsaan Malaysia 2015-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8691/1/44_1_03.pdf Sh. Nurshafazillah Rosli, and Ahmad Zaharin Aris, and Nik M. Majid, (2015) Spatial variation assessment of Malacca River water quality using multivariate statistical analysis. Malaysian Applied Biology, 44 (1). pp. 13-18. ISSN 0126-8643 http://www.mabjournal.com/index.php?option=com_content&view=article&id=505&catid=59:current-view&Itemid=56
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description This study evaluates the spatial variation of river water quality and identifies major sources of water pollution along Malacca River using cluster analysis, discriminant analysis and principal component analysis. The data sets contain 23 water quality parameters from seven monitoring stations over a ten-year monitoring period (2002-2011). The seven stations were grouped based on similar characteristics of sampling stations using cluster analysis into low-polluted sites, moderately-polluted sites and highly-polluted sites. In discriminant analysis, the original 23 parameters were reduced to 12 and 15 of the most significant pollutants in forward and backward stepwise mode, respectively. In principal component analysis, the results showed that pollution sources for moderately-polluted sites and highly-polluted sites are related to point sources and non-point sources while in low-polluted sites, pollution is mainly due to non-point sources. This study demonstrates the effectiveness of multivariate statistical method for assessment and interpretation of bulky and complex river water quality data in order to design a better supervision network for successful management of water resources.
format Article
author Sh. Nurshafazillah Rosli,
Ahmad Zaharin Aris,
Nik M. Majid,
spellingShingle Sh. Nurshafazillah Rosli,
Ahmad Zaharin Aris,
Nik M. Majid,
Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
author_facet Sh. Nurshafazillah Rosli,
Ahmad Zaharin Aris,
Nik M. Majid,
author_sort Sh. Nurshafazillah Rosli,
title Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
title_short Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
title_full Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
title_fullStr Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
title_full_unstemmed Spatial variation assessment of Malacca River water quality using multivariate statistical analysis
title_sort spatial variation assessment of malacca river water quality using multivariate statistical analysis
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2015
url http://journalarticle.ukm.my/8691/
http://journalarticle.ukm.my/8691/
http://journalarticle.ukm.my/8691/1/44_1_03.pdf
first_indexed 2023-09-18T19:53:01Z
last_indexed 2023-09-18T19:53:01Z
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