Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia

Chemometric techniques were applied to identify and assess the trace metals of Kuantan River water. Water samples from nine sampling stations were taken from downstream of the estuary towards the upstream of Kuantan River. The following trace metals were selected for analysis i.e. Hg, Cd, Pb, As, Co...

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Main Authors: Faudzi, Fikriah, Yunus, Kamaruzzaman, Miskon, Mohd Fuad, Azid, Azman
Format: Article
Language:English
Published: Zibline International Publisher 2019
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Online Access:http://irep.iium.edu.my/74567/1/74567_Assessment%20of%20trace%20metals%20using%20chemometric%20analysis%20in%20Kuantan%20River%2C%20East%20Coast%20Malaysia.pdf
http://irep.iium.edu.my/74567/
https://jcleanwas.com/archives/2jcleanwas2019/2jcleanwas2019-01-04.pdf
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spelling my.iium.irep.745672020-06-30T08:39:21Z http://irep.iium.edu.my/74567/ Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia Faudzi, Fikriah Yunus, Kamaruzzaman Miskon, Mohd Fuad Azid, Azman GE Environmental Sciences QD Chemistry Chemometric techniques were applied to identify and assess the trace metals of Kuantan River water. Water samples from nine sampling stations were taken from downstream of the estuary towards the upstream of Kuantan River. The following trace metals were selected for analysis i.e. Hg, Cd, Pb, As, Co and Cr. To evaluate chemical variation on the variables, multivariate statistical methods like principal components analysis (PCA), cluster analysis (CA) and discriminant analysis (DA) were performed. The homogeneity characteristics between the stations were integrated by cluster analysis, which were represented by dendrograms and were classified according to their surrounded activities. PCA was identified four factors namely Cr, Hg, Pb and Co explaining 77.8% of the total variance. PCA revealed that Kuantan River is strongly affected by point sources such as commercial wastewater, industries and non-point sources especially from agriculture activities. The CA classified three clusters as commercial centre (CC), residential areas (RA) and agricultural areas (AA). AA located in the upstream is less polluted than RA, while CC located in the downstream is more polluted than RA. These statistical approaches and results yielded useful information including identification of pollution sources/factors and understanding temporal variations in river water for effective river water quality management. Zibline International Publisher 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/74567/1/74567_Assessment%20of%20trace%20metals%20using%20chemometric%20analysis%20in%20Kuantan%20River%2C%20East%20Coast%20Malaysia.pdf Faudzi, Fikriah and Yunus, Kamaruzzaman and Miskon, Mohd Fuad and Azid, Azman (2019) Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia. Journal Clean WAS (JCleanWAS), 3 (2). pp. 1-4. ISSN 2521-091 E-ISSN 2521-0513 https://jcleanwas.com/archives/2jcleanwas2019/2jcleanwas2019-01-04.pdf 10.26480/jcleanwas.02.2019.01.04
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic GE Environmental Sciences
QD Chemistry
spellingShingle GE Environmental Sciences
QD Chemistry
Faudzi, Fikriah
Yunus, Kamaruzzaman
Miskon, Mohd Fuad
Azid, Azman
Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
description Chemometric techniques were applied to identify and assess the trace metals of Kuantan River water. Water samples from nine sampling stations were taken from downstream of the estuary towards the upstream of Kuantan River. The following trace metals were selected for analysis i.e. Hg, Cd, Pb, As, Co and Cr. To evaluate chemical variation on the variables, multivariate statistical methods like principal components analysis (PCA), cluster analysis (CA) and discriminant analysis (DA) were performed. The homogeneity characteristics between the stations were integrated by cluster analysis, which were represented by dendrograms and were classified according to their surrounded activities. PCA was identified four factors namely Cr, Hg, Pb and Co explaining 77.8% of the total variance. PCA revealed that Kuantan River is strongly affected by point sources such as commercial wastewater, industries and non-point sources especially from agriculture activities. The CA classified three clusters as commercial centre (CC), residential areas (RA) and agricultural areas (AA). AA located in the upstream is less polluted than RA, while CC located in the downstream is more polluted than RA. These statistical approaches and results yielded useful information including identification of pollution sources/factors and understanding temporal variations in river water for effective river water quality management.
format Article
author Faudzi, Fikriah
Yunus, Kamaruzzaman
Miskon, Mohd Fuad
Azid, Azman
author_facet Faudzi, Fikriah
Yunus, Kamaruzzaman
Miskon, Mohd Fuad
Azid, Azman
author_sort Faudzi, Fikriah
title Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
title_short Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
title_full Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
title_fullStr Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
title_full_unstemmed Assessment of trace metals using chemometric analysis in Kuantan River, East Coast Malaysia
title_sort assessment of trace metals using chemometric analysis in kuantan river, east coast malaysia
publisher Zibline International Publisher
publishDate 2019
url http://irep.iium.edu.my/74567/1/74567_Assessment%20of%20trace%20metals%20using%20chemometric%20analysis%20in%20Kuantan%20River%2C%20East%20Coast%20Malaysia.pdf
http://irep.iium.edu.my/74567/
https://jcleanwas.com/archives/2jcleanwas2019/2jcleanwas2019-01-04.pdf
_version_ 1672610130236014592
score 13.211869