Raw water quality assessment oriented to the drinking water treatment based on SVM model

To improve the adaptivity of drinking water treatment and stabilize the quality of treated water, raw water quality assessment based upon support vector machine (SVM) is developed in this study. Compared to existing raw water quality assessment methods, the assessment method studied herein can directly be used for the control of chemical (alum and ozone) dosing process of drinking water treatment. Firstly, based upon the operational experiences, a raw water quality assessment standard oriented to the drinking water treatment has been proposed. Secondly, a raw water quality model is set up to assess the raw water quality based upon SVM technique. Finally, a feedforward-feedback control scheme is designed for the chemical dosing process control. Thus, the chemical dosage can be adjusted in time to cope with the raw water quality variations and hence, the quality of treated water is stabilized. Experimental results demonstrate the improved effectiveness of the proposed method of raw water quality assessment and the feedforward-feedback control scheme.