We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
LIMNOLOGICAL EVALUATION IN TERMS OF WATER QUALITY OF OSSIOMO RIVER, SOUTHERN NIGERIA.
- Authors
ANANI, Osikemekha Anthony; OLOMUKORO, John Ovie; EZENWA, Ifeanyi Maxwell
- Abstract
The main purposes of this study are to characterize the physical and chemical properties of Ossiomo surface water, determine the water quality by identifying the significant source allotment of pollution and evaluate the co-relationship of the parameters across the studied stations. The sampling period spanned from March 2015 to August 2016. Various statistical tools were employed in the analysis of the data collected. The outcome for the evaluation of the concentrations of all the physical and chemical properties of the surface water, showed variations statistically (P<0.05 and P>0.05). Some of the physical and chemical properties were observed to be above the slated national and international standards. The result of the Principal Component Analysis of data, generated 50 variables under 6 components (PC1- PC6) with Eigenvalues >1. The source allotment was established to be traced from organic and inorganic pollutants as the major precursors of the ecosystem deterioration. The results of the measurement of Kaiser-Meyer-Olkin and Barlett's tests of sphericity were 0.83 and 3832.25 respectively, which showed that association existed between each scrutinised variables as well confirmed the correctness of the water data for the PCA extracted. The physical and chemical characteristics at stations 1 and 4 were similar. The findings from this study showed that the designated stations (2-4) in Ossiomo River were perturbed and considered unfit for domestic purposes as at the time of this study. Envirometric models like canonical correspondence analysis (CCA) and ANS (artificial neural network), can be used to predict the likely eco-biological impacts on the ecosystem.
- Publication
International Journal of Conservation Science, 2020, Vol 11, Issue 2, p571
- ISSN
2067-533X
- Publication type
Academic Journal