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

Manutha Appa Rwoo, Hafizan Juahir, Nor Malisa Roslan, Mohd. Ekhwan Toriman, Azizah Endut, Azman Azid, Che Noraini Che Hasnam, Ahmad Shakir Mohd Saudi, Mohd Khairul Amri Kamarudin, Sharmila Appa Rwoo, Ahmad Dasuki Mustafa

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalJurnal Teknologi
Volume78
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Fingerprint

Water treatment plants
Potable water
Heavy metals
Water quality
Principal component analysis
Discriminant analysis
Pollution
Toxicity

Keywords

  • Chemometric techniques
  • Discriminant analysis
  • Drinking water quality
  • Principal component analysis

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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, Manutha Appa; Juahir, Hafizan; Roslan, Nor Malisa; Toriman, Mohd. Ekhwan; Endut, Azizah; Azid, Azman; Che Hasnam, Che Noraini; Mohd Saudi, Ahmad Shakir; Kamarudin, Mohd Khairul Amri; Rwoo, Sharmila Appa; Mustafa, Ahmad Dasuki.

In: Jurnal Teknologi, Vol. 78, No. 11, 01.11.2016, p. 1-9.

Research output: Contribution to journalArticle

Rwoo, MA, Juahir, H, Roslan, NM, Toriman, ME, Endut, A, Azid, A, Che Hasnam, CN, Mohd Saudi, AS, Kamarudin, MKA, Rwoo, SA & Mustafa, AD 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, vol. 78, no. 11, pp. 1-9. https://doi.org/10.11113/.v78.4170
Rwoo, Manutha Appa ; Juahir, Hafizan ; Roslan, Nor Malisa ; Toriman, Mohd. Ekhwan ; Endut, Azizah ; Azid, Azman ; Che Hasnam, Che Noraini ; Mohd Saudi, Ahmad Shakir ; Kamarudin, Mohd Khairul Amri ; Rwoo, Sharmila Appa ; Mustafa, Ahmad Dasuki. / 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. In: Jurnal Teknologi. 2016 ; Vol. 78, No. 11. pp. 1-9.
@article{c3f1543353414062bc7f24d34a21a9b0,
title = "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",
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.",
keywords = "Chemometric techniques, Discriminant analysis, Drinking water quality, Principal component analysis",
author = "Rwoo, {Manutha Appa} and Hafizan Juahir and Roslan, {Nor Malisa} and Toriman, {Mohd. Ekhwan} and Azizah Endut and Azman Azid and {Che Hasnam}, {Che Noraini} and {Mohd Saudi}, {Ahmad Shakir} and Kamarudin, {Mohd Khairul Amri} and Rwoo, {Sharmila Appa} and Mustafa, {Ahmad Dasuki}",
year = "2016",
month = "11",
day = "1",
doi = "10.11113/.v78.4170",
language = "English",
volume = "78",
pages = "1--9",
journal = "Jurnal Teknologi",
issn = "0127-9696",
publisher = "Penerbit Universiti Teknologi Malaysia",
number = "11",

}

TY - JOUR

T1 - The assessment of the variation of physico-chemical sources for drinking water quality using chemometrics

T2 - A case study at water treatment plants in klang valley

AU - Rwoo, Manutha Appa

AU - Juahir, Hafizan

AU - Roslan, Nor Malisa

AU - Toriman, Mohd. Ekhwan

AU - Endut, Azizah

AU - Azid, Azman

AU - Che Hasnam, Che Noraini

AU - Mohd Saudi, Ahmad Shakir

AU - Kamarudin, Mohd Khairul Amri

AU - Rwoo, Sharmila Appa

AU - Mustafa, Ahmad Dasuki

PY - 2016/11/1

Y1 - 2016/11/1

N2 - 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.

AB - 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.

KW - Chemometric techniques

KW - Discriminant analysis

KW - Drinking water quality

KW - Principal component analysis

UR - http://www.scopus.com/inward/record.url?scp=84994228054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994228054&partnerID=8YFLogxK

U2 - 10.11113/.v78.4170

DO - 10.11113/.v78.4170

M3 - Article

AN - SCOPUS:84994228054

VL - 78

SP - 1

EP - 9

JO - Jurnal Teknologi

JF - Jurnal Teknologi

SN - 0127-9696

IS - 11

ER -