Spatial aspect of surface water quality using chemometric analysis.

Chemometric or multivariate techniques were applied to identify the spatialvariation and pollution sources of Jakara River Kano-Nigeria. Thirty water sampleswere collected: twenty three along River Getsi and seven surface water samples alongthe main channel River Jakara. Twenty three water quality p...

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Main Authors: Aris, Ahmad Zaharin, Mustapha, Adamu
Format: Article
Language:English
English
Published: Sepuluh Nopember Institute of Technology, Department of Environmental Engineering 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23573/1/Spatial%20aspect%20of%20surface%20water%20quality%20using%20chemometric%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/23573/
https://www.trisanita.org/
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spelling my.upm.eprints.235732015-09-29T03:15:03Z http://psasir.upm.edu.my/id/eprint/23573/ Spatial aspect of surface water quality using chemometric analysis. Aris, Ahmad Zaharin Mustapha, Adamu Chemometric or multivariate techniques were applied to identify the spatialvariation and pollution sources of Jakara River Kano-Nigeria. Thirty water sampleswere collected: twenty three along River Getsi and seven surface water samples alongthe main channel River Jakara. Twenty three water quality parameters namely: pH,temperature, turbidity, electrical conductivity, dissolve oxygen, biochemical oxygendemand, Fecal Coliform, total solids, nitrates, phosphates, cobalt, iron, nickel,manganese, copper, sodium, potassium, mercury, chromium, cadmium, lead,magnesium, and calcium were analyzed. Hierarchical cluster analysis (CA) groupedthe sampling points into three clusters based on the similarities of river water qualitycharacteristics into industrial, domestic and agricultural water pollution sources.Forward and backward Discriminant analysis (DA) effectively discriminate five andfifteen water quality variables respectively with 100% each correct assigning from theoriginal twenty three variables. PCA/FA were used to investigate the origin of eachwater quality parameters due to various land use activities, seven principalcomponents were obtained with 77.5% total variance, in addition PCA identify threelatent pollution sources convinces to support CA. Sepuluh Nopember Institute of Technology, Department of Environmental Engineering 2011-12 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23573/1/Spatial%20aspect%20of%20surface%20water%20quality%20using%20chemometric%20analysis.pdf Aris, Ahmad Zaharin and Mustapha, Adamu (2011) Spatial aspect of surface water quality using chemometric analysis. Journal of Applied Sciences in Environmental Sanitation, 6 (4 ). pp. 411-426. ISSN 0126-2807; ESSN:1978-6980 https://www.trisanita.org/ English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Chemometric or multivariate techniques were applied to identify the spatialvariation and pollution sources of Jakara River Kano-Nigeria. Thirty water sampleswere collected: twenty three along River Getsi and seven surface water samples alongthe main channel River Jakara. Twenty three water quality parameters namely: pH,temperature, turbidity, electrical conductivity, dissolve oxygen, biochemical oxygendemand, Fecal Coliform, total solids, nitrates, phosphates, cobalt, iron, nickel,manganese, copper, sodium, potassium, mercury, chromium, cadmium, lead,magnesium, and calcium were analyzed. Hierarchical cluster analysis (CA) groupedthe sampling points into three clusters based on the similarities of river water qualitycharacteristics into industrial, domestic and agricultural water pollution sources.Forward and backward Discriminant analysis (DA) effectively discriminate five andfifteen water quality variables respectively with 100% each correct assigning from theoriginal twenty three variables. PCA/FA were used to investigate the origin of eachwater quality parameters due to various land use activities, seven principalcomponents were obtained with 77.5% total variance, in addition PCA identify threelatent pollution sources convinces to support CA.
format Article
author Aris, Ahmad Zaharin
Mustapha, Adamu
spellingShingle Aris, Ahmad Zaharin
Mustapha, Adamu
Spatial aspect of surface water quality using chemometric analysis.
author_facet Aris, Ahmad Zaharin
Mustapha, Adamu
author_sort Aris, Ahmad Zaharin
title Spatial aspect of surface water quality using chemometric analysis.
title_short Spatial aspect of surface water quality using chemometric analysis.
title_full Spatial aspect of surface water quality using chemometric analysis.
title_fullStr Spatial aspect of surface water quality using chemometric analysis.
title_full_unstemmed Spatial aspect of surface water quality using chemometric analysis.
title_sort spatial aspect of surface water quality using chemometric analysis.
publisher Sepuluh Nopember Institute of Technology, Department of Environmental Engineering
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23573/1/Spatial%20aspect%20of%20surface%20water%20quality%20using%20chemometric%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/23573/
https://www.trisanita.org/
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score 13.211869