The assessment of the variation of physico-chemical sources for drinking water quality using chemometrics: A case study at water treatment plants in Klang Valley

Rwoo, M.A. and Juahir, H. and Roslan, N.M. and Toriman, M.E. and Endut, A. and Azid, A. and Che Hasnam, C.N. and Mohd Saudi, A.S. and Kamarudin, M.K.A. and Rwoo, S.A. and Mustafa, A.D. (2016) The assessment of the variation of physico-chemical sources for drinking water quality using chemometrics: A case study at water treatment plants in Klang Valley. Jurnal Teknologi, 78 (11). pp. 1-9. ISSN 0127-9696

Full text not available from this repository.
Official URL: http://dx.doi.org/10.11113/.v78.4170

Abstract

This case study characterizes the drinking water quality by using the multivariate technique. The spatial variation of the physico-chemical and heavy metals parameters toxicity with the drinking water quality based on 28 water treatment plants in Selangor, Malaysia from 2009 to 2012 was evaluated. The objectives of this study are to analyze the physio-chemical activities and heavy metals activities in the collected drinking water samples from the treatment plants, and to detect the source of pollution for the most revealing parameters. The discriminant analysis (DA) and the principal component analysis (PCA) are the chemometric techniques used to investigate the spatial variation of the most significant physico-chemical and heavy metal parameters of the drinking water samples. The classification matrix accuracy for standard mode of DA, forward stepwise and backward stepwise for the physico-chemical and heavy metal parameters are excellent. PCA highlighted 13 significant parameters out of 18 physico-chemical water quality parameters and 14 significant parameters out of 16 heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. For that reason, this study proves that chemometric method is the principle way to explain the characteristic of the drinking water quality.

Item Type: Article
Uncontrolled Keywords: Chemometric techniques; Discriminant analysis; Principal component analysis; Drinking water quality
Subjects: L Education > L Education (General)
R Medicine
T Technology > TD Environmental technology. Sanitary engineering
Divisions: Faculty of Education
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 27 Sep 2017 01:22
Last Modified: 27 Sep 2017 01:22
URI: http://eprints.um.edu.my/id/eprint/17809

Actions (login required)

View Item View Item