Surface water quality assessment of terengganu river basin using multivariate techniques

Aminu Ibrahim, Hafizan Juahir, Mohd. Ekhwan Toriman, Mohd Khairul Amri Kamarudin, Hamza A. Isiyaka

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Surface stream water is truly encountering sullying that undermines human wellbeing, biological community and plants/creatures life. The study investigates the spatial variation with the aim to identify the surface water pollution using multivariate statistical techniques. Thirty water quality parameters were extracted from 2003-2007 monitoring stations by Department of Environment Malaysia. The spatial variation of the water quality, identification of the prospective pollution sources and the explanation of huge complicated water quality data sets were assessed using multivariate statistical techniques which includes cluster analysis (CA), discriminant analysis (DA) and principal component analysis/factor analysis (PCA/FA). The revealed that thirteen sampling stations were grouped by CA into two major classes: Low Pollution Source (LPS) and Moderate Pollution Source (MPS) and each group show similar water quality characteristics. DA through standard mode, backward stepwise mode and forward stepwise mode rendered correct assignation of 83.03%, 81.55% and 80.81% with four significant variables (BOD, conductivity, NO3 and Zn) as the most significant. Indeed, DA reduces the data and produces good result for the spatial variation of the river. PCA identifies variables liable for water quality variation. Moreover, PCA revealed cumulative variance of 73.62% of the overall variance, each having greater than >1 eigenvalue. PCA suggested the major variations in river are attributed to domestic waste, agricultural activities and industrial activities this represent (anthropogenic activities) and erosion as well as runoff indicating (natural processes). Thus, this study demonstrates the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets, and in water quality assessment, identification of pollution sources/factors and understanding spatial variations in water quality for Effective River water quality management.

Original languageEnglish
Pages (from-to)48-58
Number of pages11
JournalAdvances in Environmental Biology
Volume8
Issue number24
Publication statusPublished - 1 Dec 2014
Externally publishedYes

Fingerprint

Water Quality
Rivers
surface water
water quality
river basin
Passive Cutaneous Anaphylaxis
spatial variation
discriminant analysis
pollutant source
Discriminant Analysis
pollution
cluster analysis
methodology
Cluster Analysis
domestic waste
Water Pollution
Biota
agricultural wastes
eigenvalue
rivers

Keywords

  • Cluster analysis
  • Discriminant analysis
  • Multivariate
  • Principal component analysis
  • Terengganu River Basin
  • Water quality

ASJC Scopus subject areas

  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Cite this

Surface water quality assessment of terengganu river basin using multivariate techniques. / Ibrahim, Aminu; Juahir, Hafizan; Toriman, Mohd. Ekhwan; Kamarudin, Mohd Khairul Amri; Isiyaka, Hamza A.

In: Advances in Environmental Biology, Vol. 8, No. 24, 01.12.2014, p. 48-58.

Research output: Contribution to journalArticle

Ibrahim, A, Juahir, H, Toriman, ME, Kamarudin, MKA & Isiyaka, HA 2014, 'Surface water quality assessment of terengganu river basin using multivariate techniques', Advances in Environmental Biology, vol. 8, no. 24, pp. 48-58.
Ibrahim, Aminu ; Juahir, Hafizan ; Toriman, Mohd. Ekhwan ; Kamarudin, Mohd Khairul Amri ; Isiyaka, Hamza A. / Surface water quality assessment of terengganu river basin using multivariate techniques. In: Advances in Environmental Biology. 2014 ; Vol. 8, No. 24. pp. 48-58.
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