PREDICTION OF WATER POLLUTION QUALITY OF THE KANGIMI RESERVOIR STORAGE, KADUNA STATE

I.A. Abdulkareem, S.G. Sara, D. Mohammed, M.T. Musa

Abstract


Water pollution occurred in natural stream and water storage facilities due to influences of anthropology and environmental inducements. This study aims at predicting pollutant quality of Kangimi reservoir storage. The study assumed homogeneity characteristics of water pollutants from the catchment by relating streamflow with pollutants concentrations to formulate a predicted power model with logarithm solution. Reservoir stages were measured for the periods of April, May, June, July, August and September 2023 with correspondent water sampling for quality characterization. The model was calibrated and verified using measured acquired monthly data. The reservoir stages ranged from 24.29 m to 28.34 m while streamflow values ranged from 13.4M m3 to 43.1M m3. The quality revealed the turbidity values ranged 10.5 to 13.01 NTU, TDS from 465 to 695 mg/l, Chloride ranged from 34.0 to 54.04 mg/l, NO3 ranged from 52.52 to 65.2 mg/l, while BOD ranged from 5.23 to 6.95 mg/l. The statistical trend is upward direction as various slope values ranged from 0.065 to 0.229 with exception of chloride in downward trend value of -0.172. The power relationships indicated a strong value of R2 ranged from 0.27 to 0.98. The model revealed the monthly pollutants delivery, enrichment, flushing and dilution process in the reservoir, the quality exhibition behavior chemodynamic. The maximum pollutants into the storage quality is from the month of June through September with predicted values ranged from 5.45 to 5.59 mg/l. Amongst the study conclusion is by recommended the use of the model for monitoring pollutants in Kangimi storage.

Keywords: Catchment, Stream stage, Storage, Pollutants, Reservoir, Streamflow, Water quality


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References


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