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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Assessment of Surface Water Quality of River Benue at Makurdi
by Apeh, S. and Ekenta O.E.

A reach of River Benue (at Makurdi) one of the two major rivers in Nigeria was monitored for a period of six months covering both dry and rainy seasons of the year for pollution modeling due to multi-usage of the river - human consumption and industrial usage. Five samples were taken from each of the following sources: Benue Brewery Limited (point source); Benue Links Limited (heavy concentration of people) non- point source; Makurdi Abattoir (point source); Makurdi water works, non-point source; Wadata (heavy concentration of people) non-point source. The process of field sampling, laboratory analysis and regression modeling of flow depth and pollution concentration revealed the following: Pollution in River Benue is influenced by natural regimes such as rainfall and discharges; physical and chemical pollutions increased with rainfall while microbial pollution is inversely proportional to rainfall. Microbial pollution of the river is more severe than physical and chemical pollution and has more effect on public health. Unlike time, there is no trend in degree of pollution with respect to space. A positive non-linear relationship exists between water related diseases at Makurdi and coli form organisms in the river. Non-linear models for physical and chemical pollution, linear and polynomial models for flow depth and water pollutions were formulated. The models yielded values of coefficients of correlation(R) ranging from 0.6785 to 0.9994 implying good fitting. The regression models are reliable for monitoring and prediction of water quality in this area, with both cost and time saving advantages.
Keywords: assessment, surface water quality, modeling, River Benue.
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010