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 aspH 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. Comparison of the results
from the simulation of the model and experimental data showed a good prediction with a correlation coefficient of 89%.