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

Siti Fatimah Zaharah Mustafa,Mustafa Mat Deris,Teh Sabariah Binti Abd Manan,Salmia Beddu,Nur Liyana Mohd Kamal,Daud Mohamad,Saba Yavari,Sobia Qazi,Zarimah Hanafiah,Shefaa Omar Abu Nassar,Kai Lun Yeoh,Ishmail Sheriff,Wan Hanna Melini Wan Mohtar,Mohamed Hasnain Isa,Mohd Suffian Yusoff,Hamidi Abdul Aziz

doi:10.1016/j.cplett.2023.140721

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

Siti Fatimah Zaharah Mustafa, Mustafa Mat Deris + Show 14 more

https://doi.org/10.1016/j.cplett.2023.140721

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Journal: Chemical physics letters	Publication Date: Jul 22, 2023
Citations: 1

Affiliation: University of Technology Malaysia, Tun Hussein Onn University of Malaysia, Universiti Malaysia Terengganu, Universiti Sains Malaysia, Universiti Tenaga Nasional, Universiti Teknologi Petronas, University of Nottingham, National University of Malaysia, Institut Teknologi Brunei

#Application Of Rough Set Theory #Perak River + Show 8 more

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Abstract

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).

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