Predictive Model for Lime Dosage in Water Treatment Plant

A predictive model for determining the quantity of lime required for water treatment was developed by considering the inter-relationship between water quality parameter such as pH and the quantity of lime required for water treatment. The model constants were obtained using least square regression method and solving the resultant equation using MATLAB program. The resultant model equation was found to be Q= - 1.5402+ 1735.539((10)^(-∆pH) ). Comparison of the results from the simulation of the model and experimental data showed a good prediction with a correlation coefficient of 89%.