Modeling formation and control of disinfection byproducts in chlorinated drinking waters

摘要

While disinfection of drinking water reduces the risks of pathogenic infection, threats to humannhealth due to the formation of disinfection byproducts (DBPs) may arise due to natural organicnprecursors. Regression-based models characterizing the formation of DBPs are derived from datanfor 28 conventional water treatment plants in Ontario. DBPs are shown to be correlatednstatistically with dissolved organic carbon, pre-and post-chlorination dosages, pH andntemperature. Using backward elimination nonlinear regression, a set of mathematical functionsnare obtained (R 2n¼ 0.62 to 0.79) for an array of DBPs. The models are used to guide decision-nmarkers in the selection and operation of drinking water treatment processes to decrease DBPnformation, indicating that a shift from emphasis on pre-chlorination to post-chlorination has thenmost effect on DBP formation.