A New Approach to Performance Analysis of Disinfection Using Grey System Theory

It is important to reduce sanitary risks related to the presence of pathogens and disinfection can be achieved via chlorination. In this paper, GM (1, 1) model was employed to predict the rate of inactivation with free chlorine for Enterococcus faecalis. The result indicated that GM only required a small amount of data can predict well. The mean absolute percentage errors (MAPEs) using GM(1,1) model lay between 0.04%-9.75%. Research results show that this GM(1,1)model can provide valuable information for public health.