UPM Institutional Repository

Spatial aspect of surface water quality using chemometric analysis.


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


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.

Download File

PDF (Abstract)
Spatial aspect of surface water quality using chemometric analysis.pdf

Download (85kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
Publisher: Sepuluh Nopember Institute of Technology, Department of Environmental Engineering
Keywords: Water quality; Water; Statistics.
Depositing User: Nur Farahin Ramli
Date Deposited: 12 Dec 2013 05:07
Last Modified: 29 Sep 2015 03:15
URI: http://psasir.upm.edu.my/id/eprint/23573
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item