Predicting the Impact of a Food Processing Industry on Water Quality of its Environment

摘要

A 24 full factorial design was used to predict the impact of NAS Foods Nigeria Limited on the water quality of its environment. The factorial, main and interaction effects of four water pollutants, namely, Total Dissolved Solids (TDS), sulphide of lead (PbS), Total Nitrates (TNL) and Total Undissolved Solids (TUS) on Biological Oxygen Demand (BOD) were obtained statistically. From the sensitive analysis, it was concluded that all the main effects and interactions in the model have significant impacts on the level of BOD of the surface water. However, TDS, TNL and TUS have higher detrimental influences. On the other hand, the interactions TDS/PbS/TUS, TDS/PbS and PbS/TUS all have high incremental influences on Dissolved Oxygen (DO). The statistical analysis of the experimental data showed that the developed model is adequate for obtaining optimum conditions of 2000 mg L-1 for TDS, 0.2 mg L-1 for PbS, 10 mg L-1 for TNL and 2030 mg L-1 for TUS. Validation of the model gave a correlation coefficient of 0.999251 between the measured and predicted values.