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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2015
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| Online Access: | http://journalarticle.ukm.my/8691/1/44_1_03.pdf |
| _version_ | 1796930829619822592 |
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| author | Sh. Nurshafazillah Rosli, Ahmad Zaharin Aris, Nik M. Majid, |
| author_facet | Sh. Nurshafazillah Rosli, Ahmad Zaharin Aris, Nik M. Majid, |
| author_sort | Sh. Nurshafazillah Rosli, |
| collection | UKM |
| 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. |
| first_indexed | 2024-03-06T04:08:59Z |
| format | Article |
| id | ukm.eprints-8691 |
| institution | Universiti Kebangsaan Malaysia |
| language | English |
| last_indexed | 2024-03-06T04:08:59Z |
| publishDate | 2015 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | ukm.eprints-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 |
| spellingShingle | Sh. Nurshafazillah Rosli, Ahmad Zaharin Aris, Nik M. Majid, Spatial variation assessment of Malacca River water quality using multivariate statistical analysis |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/8691/1/44_1_03.pdf |
| work_keys_str_mv | AT shnurshafazillahrosli spatialvariationassessmentofmalaccariverwaterqualityusingmultivariatestatisticalanalysis AT ahmadzaharinaris spatialvariationassessmentofmalaccariverwaterqualityusingmultivariatestatisticalanalysis AT nikmmajid spatialvariationassessmentofmalaccariverwaterqualityusingmultivariatestatisticalanalysis |