Multivariate chemometric approach on the surface water quality in langat upstream tributaries, peninsular Malaysia

Mohammad Zahirul Haque, Sahibin @ Sahibini Abd Rahim, Md. Pauzi Abdullah, Ahmad Fuad Embi, Rahmah Elfithri, Tukimat Lihan, W. M A Wan Mohd Khalik, Firoz Khan, Mazlin Mokhtar

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The small tributaries to upstream Langat of Peninsular Malaysia play an important role to water quality in downstream. This study was carried out to investigate the indicator pollution and identify the potential sources of pollutants using multivariate chemometric techniques. Sampling campaign was conducted on monthly basis from January-June, 2015, duly interval dry and rainy seasons at six stations. Hierarchical cluster analysis (HACA) was employed on temporal and spatial dataset. Temporal dataset were grouped into two clusters on the basis of rainfall before collecting samples; the months of January, March and June formed one cluster and February, April and May appeared in the other. Spatial dataset were grouped into three clusters namely less polluted, medium polluted and polluted sites. Factor Analysis (FA) and Principal Component Analysis (PCA) were applied to identify the significant sources of pollutants, which resulted in five latent factors amounting to 73.0% of the total variance in data sets. Varifactors obtained from factor analysis indicate that the parameters responsible for water quality variations are related to physicochemical parameters and nutrients from both nonpoint and point sources. The non point sources include plantation area, weathering of sedimentary rock and natural vegetation and point sources include mainly domestic wastewater. Thus, this study illustrates the water quality assessment, identification of pollution factors and temporal/spatial variations in water quality for the surface water of upstream tributaries to implement effective river water quality management with multivariate statistical techniques for analysis and interpretation of complex data sets.

Original languageEnglish
Pages (from-to)277-284
Number of pages8
JournalJournal of Environmental Science and Technology
Volume9
Issue number3
DOIs
Publication statusPublished - 2016

Fingerprint

tributary
surface water
water quality
point source
factor analysis
pollutant
river water
cluster analysis
sedimentary rock
principal component analysis
plantation
spatial variation
weathering
wastewater
pollution
rainfall
nutrient
vegetation
sampling
parameter

Keywords

  • Cluster analysis
  • Factor analysis
  • Physicochemical water quality
  • Principal component analysis

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Multivariate chemometric approach on the surface water quality in langat upstream tributaries, peninsular Malaysia. / Haque, Mohammad Zahirul; Abd Rahim, Sahibin @ Sahibini; Abdullah, Md. Pauzi; Embi, Ahmad Fuad; Elfithri, Rahmah; Lihan, Tukimat; Mohd Khalik, W. M A Wan; Khan, Firoz; Mokhtar, Mazlin.

In: Journal of Environmental Science and Technology, Vol. 9, No. 3, 2016, p. 277-284.

Research output: Contribution to journalArticle

Haque, Mohammad Zahirul ; Abd Rahim, Sahibin @ Sahibini ; Abdullah, Md. Pauzi ; Embi, Ahmad Fuad ; Elfithri, Rahmah ; Lihan, Tukimat ; Mohd Khalik, W. M A Wan ; Khan, Firoz ; Mokhtar, Mazlin. / Multivariate chemometric approach on the surface water quality in langat upstream tributaries, peninsular Malaysia. In: Journal of Environmental Science and Technology. 2016 ; Vol. 9, No. 3. pp. 277-284.
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