Evaluation of hydrochemistry variation in water quality of Cempaka Lake, Malaysia using multivariate statistical analysis

N. A S M Sabri, Md. Pauzi Abdullah, Sohif Mat, Rahmah Elfithri, W. M A W M Khalik

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Hydrochemistry variation in water quality of Cempaka Lake was successfully evaluated. Data sets were tested subject to multivariate statistical analysis. Seven sampling points were selected and monitoring work was conducted monthly (May 2013-May 2014). The physicochemical parameters, namely temperature, pH, conductivity, dissolved oxygen, suspended solid, ammonia nitrogen, chemical oxygen demand, biochemical oxygen demand and phosphate were measured. Based on cluster analysis, seven stations were grouped into two clusters at (Dlink/Dmax) x 100 < 30. Four principle components explained about 87.90 % of the total variance in the water data sets from eigenvalue > 1. Classification matrices were assigned correctly of 85.70 % and 92.90 % for spatial and temporal variations respectively. Variables namely dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, ammoniacal nitrogen and phosphate were recognized to have significant influence on the deterioration of water quality in Cempaka Lake.

Original languageEnglish
Pages (from-to)4403-4410
Number of pages8
JournalJournal of Materials and Environmental Science
Volume7
Issue number12
Publication statusPublished - 2016

Fingerprint

Hydrochemistry
hydrochemistry
Biochemical oxygen demand
Chemical oxygen demand
biochemical oxygen demand
Dissolved oxygen
chemical oxygen demand
Water quality
Lakes
dissolved oxygen
Statistical methods
statistical analysis
Phosphates
Nitrogen
phosphate
water quality
nitrogen
lake
Cluster analysis
Ammonia

Keywords

  • Chemometric
  • Man-made lake
  • Physico-chemical analysis
  • Water pollution

ASJC Scopus subject areas

  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Materials Chemistry

Cite this

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abstract = "Hydrochemistry variation in water quality of Cempaka Lake was successfully evaluated. Data sets were tested subject to multivariate statistical analysis. Seven sampling points were selected and monitoring work was conducted monthly (May 2013-May 2014). The physicochemical parameters, namely temperature, pH, conductivity, dissolved oxygen, suspended solid, ammonia nitrogen, chemical oxygen demand, biochemical oxygen demand and phosphate were measured. Based on cluster analysis, seven stations were grouped into two clusters at (Dlink/Dmax) x 100 < 30. Four principle components explained about 87.90 {\%} of the total variance in the water data sets from eigenvalue > 1. Classification matrices were assigned correctly of 85.70 {\%} and 92.90 {\%} for spatial and temporal variations respectively. Variables namely dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, ammoniacal nitrogen and phosphate were recognized to have significant influence on the deterioration of water quality in Cempaka Lake.",
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AU - Sabri, N. A S M

AU - Abdullah, Md. Pauzi

AU - Mat, Sohif

AU - Elfithri, Rahmah

AU - Khalik, W. M A W M

PY - 2016

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KW - Chemometric

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KW - Physico-chemical analysis

KW - Water pollution

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