Spatial and Temporal Variation in Water Quality of River Benue, Nigeria


The study investigates the spatial and temporal variation in water quality parameters at ten different locations along River Benue for twelve consecutive months. In order to explore the spatial variation among different stations and seasonal changes, multivariate analysis of variance (MANOVA) was used to group these on the basis of spatial similarities. MANOVA on season and station shows that there is no significant difference between the stations investigated while there is for the seasons. This could be viewed as a resulting from the narrow spatial sampling interval (12 km at 0.7% total length of River Benue). However, discriminate analysis identified all the parameters to discriminate between the three seasons with 99.2% correct assignations. Two discriminate functions were found and the total variance cumulative was 100% between seasons. The first function explained 64.8% of the total variance between the seasons while the second function explained 35.2%. Total solids (TS) were the highest contributor in discriminate functions 1 and 2. Therefore, discriminate function analysis would enable us to predict the likely season a water sample from metropolitan Makurdi was collected given the values of the water quality parameters. It also enables us to conclude that all the parameters were responsible for significant seasonal variations in River Benue water quality.

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I. Eneji, A. Onuche and R. Sha’Ato, "Spatial and Temporal Variation in Water Quality of River Benue, Nigeria," Journal of Environmental Protection, Vol. 3 No. 8A, 2012, pp. 915-921. doi: 10.4236/jep.2012.328106.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] G. F. Riedel, S. A. Tvvilliams, G. S. Riedel, C. C. Oilmour and G. T. Sanders, “Temporal and Spatial Patterns of Trace Elements in the Patuxent River: A Whole Watershed Approach,” Estuaries, Vol. 23, No. 4, 2000, pp. 521-535. doi:10.2307/1353143
[2] H. Gupta and G. T. Chakrapani, “Temporal and Spatial Variations Is Water Flow and Sediment Load in Namada River Basin, India: Natural and Man-Made Factors,” Environmental Geology, Vol. 48, No. 4-5, 2005, pp. 579- 589. doi:10.1007/s00254-005-1314-2
[3] A. Sileika, P. Lnacke, S. Kutra, K. Gaigals and L. Beranjiene, “Temporal and Spatial Variation of Nutrient Levels in the Nemunas River (Lithuania and Belarus),” Environmental Monitoring Assessment, Vol. 122, No. 1-3, 2006, pp. 335-354. doi:10.1007/s10661-006-9186-9
[4] S. K. Sundaray, U. C. Panda, B. B. Nayak and D. Bhatta, “Multivariate Statistical Techniques for the Evaluation of Spatial and Temporal Variations in Water Quality of the Mahanadi River—Estuarine System (India) a Case Study,” Environmental Geochemistry Health, Vol. 28, No. 4, 2006, pp. 317-330. doi:10.1007/s10653-005-9001-5
[5] S. C. Schaefers and M. Alber, “Temporal and Spatial Trends in Nitrogen and Phosphorus Inputs to the Watershed of the Altamaha River, Georgia, USA,” Biogeochemistry, Vol. 86, No. 3, 2007, pp. 231-249. doi:10.1007/s10533-007-9155-6
[6] A. Quadir, R. N. Malik and S. Z. Hussain, “Spatio-Tem- poral Variations in Water Quality of Nullah Aik-Tributary of the River Chenab, Pakistan,” Environmental Monitoring Assessment, Vol. 140, 2007, pp. 1-3.
[7] P. R. Kannel, S. Lee, S. R. Kanel, S. P. Khan and Y. Lee, “Spatial-Temporal Variation and Comparative Assessment of Water Qualities of Urban River System: A Case Study of the River Bagmati (Nepal),” Environmental Monitoring Assessment, Vol. 129, No. 1-3, 2007, pp. 433- 459. doi:10.1007/s10661-006-9375-6
[8] Sh. Najafpour, A. F. M. Alkarkhi, M. O. A. Kadir and Gh. D. Najafpour, “Evaluation of Spatial and Temporal Variation in River Water Quality,” International Journal of Environmental Research, Vol. 2, No. 4, 2008, pp. 349- 358.
[9] R. Nikhil and P. A. Azeez, “Spatial and Temporal Variation in Surface Water Chemistry of a Tropical River, the River Bharathapuzha, India,” Current Science, Vol. 96, No. 2, 2009, pp. 245-250.
[10] M. Vegal, R. Pardo, E. Barrado and L. Deban, “Assess- ment of Seasonal and Polluting Effects on the Quality of River Water by Exploratory Data Analysis,” Water Research, Vol. 32, No. 12, 1998, pp. 3581-3592. doi:10.1016/S0043-1354(98)00138-9
[11] J. Y. Lee, J. Y. Cheon, K. K. Lee, S. Y. Lee and M. H. Lee, “Statistical Evaluation of Geochemical Parameter Distribution in a Ground Water System Contaminated with Petroleum Hydrocarbons,” Journal of Environmental Science Technology, Vol. 2, No. 1, 2001, pp. 41-47.
[12] R. Reghunath, T. R. S. Murthy and B. R. Raghavan, “The utility of Multivariate Statistical Techniques in Hydrogeo-Chemical Studies: An Example from Karanataka, India,” Water Research, Vol. 36, No. 10, 2002, pp. 2437-2442. doi:10.1016/S0043-1354(01)00490-0
[13] V. Simeonov, P. Simeonova and R. Tisitouridou, “Chemometric Quality Assessment of Surface Water: Two Case Studies,” Chemical Engineering Ecology, Vol. 11, No. 6, 2004, pp. 449-469.
[14] American Public Health Association, American Water Works Association and Water Pollution Control Federation, “Standard Method for Examination of Water and Waste Water,” 18th Edition, Washington DC, 1992, pp. 3-100.

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