Alum Dosage Reduction and Sensitivity Analysis in Water Treatment System using Data Mining Software: Case study of Provincial Waterworks Authority, Udonthani

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Jintawat Lachinla
Petchporn Chawakitchareon

Abstract

This research applied RapidMiner V.9.2 for alum dosage reduction and sensitivity analysis in water supply system of PWA, Udonthani. The input parameters were pH and turbidity of raw water, pH and turbidity of pre-filtered water. The output parameter was alum dosage. The data were used from October, 2004 to April, 2019 that collected 5,118 records. The theory used W-LinearRegression W-MLP W-REPTree W-M5P      W-M5Rules and GBT for modeling, alum dosage prediction, apply to alum dosage reduction and sensitivity analysis. From all 24 scenarios experiment, in conclusion, 10 models could be the alum dosage prediction. When applied to reduce the alum using dosage and sensitivity analysis, it was found model can the most alum reduction was model   in summer by W-M5P theory and model   in winter by GBT. All two models were used in Banthon WTP to reduce the alum dosage up to 21.69 percentage per year or 243,230 baht per year. The input parameters affected the most sensitive model that were pH and turbidity of raw water, pH of pre-filtered water. Therefore, this model could be applied to reduce cost of alum for PWA, Udonthani.

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