                411 !     "#  $ %&’(&)&$            ADAMU MUSTAPHA* and AHMAD ZAHARIN ARIS Department of Environmental Sciences, Faculty of Environmental Studies, Universiti Putra Malaysia. *Corresponding Author: Phone: +60129776440; Fax: +60389467463, E4Mail: amustapha494@gmail.com Received: 15 th August 2011; Revised: 19 th September 2011; Accepted: 19 th September 2011  Chemometric or multivariate techniques were applied to identify the spatial variation and pollution sources of Jakara River Kano4Nigeria. Thirty water samples were collected: twenty three along River Getsi and seven surface water samples along the main channel River Jakara. Twenty three water quality parameters namely: pH, temperature, turbidity, electrical conductivity, dissolve oxygen, biochemical oxygen demand, Fecal Coliform, total solids, nitrates, phosphates, cobalt, iron, nickel, manganese, copper, sodium, potassium, mercury, chromium, cadmium, lead, magnesium, and calcium were analyzed. Hierarchical cluster analysis (CA) grouped the sampling points into three clusters based on the similarities of river water quality characteristics into industrial, domestic and agricultural water pollution sources. Forward and backward Discriminant analysis (DA) effectively discriminate five and fifteen water quality variables respectively with 100% each correct assigning from the original twenty three variables. PCA/FA were used to investigate the origin of each water quality parameters due to various land use activities, seven principal components were obtained with 77.5% total variance, in addition PCA identify three latent pollution sources convinces to support CA. !"# Chemometric, cluster analysis, discriminant analysis, Jakara River, principal component analysis $ With an increased understanding of the importance of fresh waters systems to public benefit and aquatic life, assessment and classification of water qualities for effective management options is becoming top concern. The development of a surface water monitoring ISSN 012642807 Volume 6, Number 4: 411 4 426, December, 2011 © T2011 Department of Environmental Engineering Sepuluh Nopember Institute of Technology, Surabaya & Indonesian Society of Sanitary and Environmental Engineers, Jakarta Open Access http://www.trisanita.org/jases This work is licensed under the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International peer4reviewed journal