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Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)

This paper presents application of rough set theory and PCA for modelling of similarity characteristics of PAHs from Perak River: Tanjung Belanja Bridge (TBB, l1), Water Treatment Plant Parit (WTPP, l2), Parit Town Discharge (PTD, l3), Water Treatment Plant Senin (WTPS, l4), and Water Treatment Plan...

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Main Authors:	Mustafa S.F.Z., Mat Deris M., Abd Manan T.S.B., Beddu S., Mohd Kamal N.L., Mohamad D., Yavari S., Qazi S., Hanafiah Z., Omar Abu Nassar S., Yeoh K.L., Sheriff I., Wan Mohtar W.H.M., Isa M.H., Yusoff M.S., Abdul Aziz H.
Other Authors:	57190572064
Format:	Article
Published:	Elsevier B.V. 2024
Subjects:	Environmental data Polycyclic aromatic hydrocarbons Principal component analysis Rough set theory Sungai Perak Mineral oils Naphthalene Water treatment plants Clusterings Low molecular weight Malaysia Principal-component analysis Sampling stations Sungai perak
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spelling	my.uniten.dspace-340062024-10-14T11:17:38Z Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA) Mustafa S.F.Z. Mat Deris M. Abd Manan T.S.B. Beddu S. Mohd Kamal N.L. Mohamad D. Yavari S. Qazi S. Hanafiah Z. Omar Abu Nassar S. Yeoh K.L. Sheriff I. Wan Mohtar W.H.M. Isa M.H. Yusoff M.S. Abdul Aziz H. 57190572064 6507331989 57219650719 55812080500 56239107300 57200335404 57521992400 57216613755 57211619771 58512712600 58486969300 57215429487 25637975300 12808940900 15125104400 7005960760 Environmental data Polycyclic aromatic hydrocarbons Principal component analysis Rough set theory Sungai Perak Mineral oils Naphthalene Principal component analysis Rough set theory Water treatment plants Clusterings Environmental data Low molecular weight Malaysia Principal-component analysis Sampling stations Sungai perak Polycyclic aromatic hydrocarbons This paper presents application of rough set theory and PCA for modelling of similarity characteristics of PAHs from Perak River: Tanjung Belanja Bridge (TBB, l1), Water Treatment Plant Parit (WTPP, l2), Parit Town Discharge (PTD, l3), Water Treatment Plant Senin (WTPS, l4), and Water Treatment Plant Kepayang (WTPK, l5). The clustering involved PAHs as attributes and sampling stations as objects. The l1 and l3 were clustered in Simdegx,y?0.8. The Simdegx,y?0.7 was observed in all attributes (except l5) forming two sets of clusters. PCA showed that low molecular weight (LMW) PAHs were prominent with variances of 68.47% (naphthalene, Nap) and 27.63% (carbazole). � 2023 Elsevier B.V. Final 2024-10-14T03:17:38Z 2024-10-14T03:17:38Z 2023 Article 10.1016/j.cplett.2023.140721 2-s2.0-85166185833 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166185833&doi=10.1016%2fj.cplett.2023.140721&partnerID=40&md5=ed43f2b694312a0b88f3cd3ce15d19e4 https://irepository.uniten.edu.my/handle/123456789/34006 828 140721 Elsevier B.V. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Environmental data Polycyclic aromatic hydrocarbons Principal component analysis Rough set theory Sungai Perak Mineral oils Naphthalene Principal component analysis Rough set theory Water treatment plants Clusterings Environmental data Low molecular weight Malaysia Principal-component analysis Sampling stations Sungai perak Polycyclic aromatic hydrocarbons
spellingShingle	Environmental data Polycyclic aromatic hydrocarbons Principal component analysis Rough set theory Sungai Perak Mineral oils Naphthalene Principal component analysis Rough set theory Water treatment plants Clusterings Environmental data Low molecular weight Malaysia Principal-component analysis Sampling stations Sungai perak Polycyclic aromatic hydrocarbons Mustafa S.F.Z. Mat Deris M. Abd Manan T.S.B. Beddu S. Mohd Kamal N.L. Mohamad D. Yavari S. Qazi S. Hanafiah Z. Omar Abu Nassar S. Yeoh K.L. Sheriff I. Wan Mohtar W.H.M. Isa M.H. Yusoff M.S. Abdul Aziz H. Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
description	This paper presents application of rough set theory and PCA for modelling of similarity characteristics of PAHs from Perak River: Tanjung Belanja Bridge (TBB, l1), Water Treatment Plant Parit (WTPP, l2), Parit Town Discharge (PTD, l3), Water Treatment Plant Senin (WTPS, l4), and Water Treatment Plant Kepayang (WTPK, l5). The clustering involved PAHs as attributes and sampling stations as objects. The l1 and l3 were clustered in Simdegx,y?0.8. The Simdegx,y?0.7 was observed in all attributes (except l5) forming two sets of clusters. PCA showed that low molecular weight (LMW) PAHs were prominent with variances of 68.47% (naphthalene, Nap) and 27.63% (carbazole). � 2023 Elsevier B.V.
author2	57190572064
author_facet	57190572064 Mustafa S.F.Z. Mat Deris M. Abd Manan T.S.B. Beddu S. Mohd Kamal N.L. Mohamad D. Yavari S. Qazi S. Hanafiah Z. Omar Abu Nassar S. Yeoh K.L. Sheriff I. Wan Mohtar W.H.M. Isa M.H. Yusoff M.S. Abdul Aziz H.
format	Article
author	Mustafa S.F.Z. Mat Deris M. Abd Manan T.S.B. Beddu S. Mohd Kamal N.L. Mohamad D. Yavari S. Qazi S. Hanafiah Z. Omar Abu Nassar S. Yeoh K.L. Sheriff I. Wan Mohtar W.H.M. Isa M.H. Yusoff M.S. Abdul Aziz H.
author_sort	Mustafa S.F.Z.
title	Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
title_short	Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
title_full	Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
title_fullStr	Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
title_full_unstemmed	Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)
title_sort	modelling of similarity characteristics of polycyclic aromatic hydrocarbons (pahs) in sungai perak, malaysia via rough set theory and principal component analysis (pca)
publisher	Elsevier B.V.
publishDate	2024
_version_	1814061036670550016
score	13.222552

Modelling of similarity characteristics of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia via rough set theory and principal component analysis (PCA)

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