Spatial assessment of Langat river water quality using chemometrics

Juahir, Hafizan and Md Zain, Sharifuddin and Aris, Ahmad Zaharin and Yusoff, Mohd Kamil and Mokhtar, Mazlin (2010) Spatial assessment of Langat river water quality using chemometrics. Journal of Environmental Monitoring, 12 (1). pp. 287-295. ISSN 1464-0325

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Abstract

The present study deals with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN). The data used in this study were collected from seven monitoring stations under the river water quality monitoring program by the Department of Environment (DOE) from 1995 to 2002. Twenty three physico-chemical parameters were involved in this analysis. Cluster analysis successfully clustered the Langat River into three major clusters, namely high, moderate and less pollution regions. Discriminant analysis identified seven of the most significant parameters which contribute to the high variation of Langat River water quality, namely dissolved oxygen, biological oxygen demand, pH, ammoniacal nitrogen, chlorine, E. coli, and coliform. Discriminant analysis also plays an important role as an input selection parameter for an ANN of spatial prediction (pollution regions). The ANN showed better prediction performance in discriminating the regional area with an excellent percentage of correct classification compared to discriminant analysis. Multivariate analysis, coupled with ANN, is proposed, which could help in decision making and problem solving in the local environment.

Item Type:Article
Keyword:Chemometrics; Artificial neural networks; Spatial assessment; Langat River
Subject:Water quality management - Malaysia - Selangor - Langat River
Subject:Water quality - Malaysia - Selangor - Langat River
Subject:Chemometrics
Faculty or Institute:Faculty of Environmental Studies
Publisher:Royal Society of Chemistry
DOI Number:10.1039/B907306J
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1039/B907306J
ID Code:16792
Deposited By: Khairil Ridzuan Khahirullah
Deposited On:24 May 2012 02:12
Last Modified:07 Dec 2012 03:22

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