Title of article :
Modeling dichloroacetic acid formation from the reaction of monochloramine with natural organic matter
Author/Authors :
Stephen E. Duirk، نويسنده , , Richard L. Valentine، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
8
From page :
2667
To page :
2674
Abstract :
A kinetic model was developed to predict dichloroacetic acid (DCAA) formation in chloraminated systems. Equations describing DCAA formation were incorporated into an established comprehensive monochloramine–natural organic matter (NOM) reaction model. DCAA formation was theorized to be proportional to the amount of NOM oxidized by monochloramine and described by a single dimensionless DCAA formation coefficient, θDCAA (MDCAA/MDOCox). The applicability of the model to describe DCAA formation in the presence of six different NOM sources was evaluated. DCAA formation could be described by considering a single NOM source-specific value for θDCAA over a wide range of experimental conditions (i.e., pH, NOM, free ammonia, and monochloramine concentrations). DCAA formation appears to be directly proportional to the amount of active chlorine (monochloramine and free chlorine) that reacted with the NOM under these experimental conditions. Values of θDCAA for all six NOM sources, determined by nonlinear regression analysis, varied from 6.51×10−3 to 1.15×10−2 and were linearly correlated with specific ultraviolet absorbance at 280 nm (SUVA280). The ability to model monochloramine loss and DCAA formation in the presence of NOM provides insight into disinfection by-product (DBP) formation pathways under chloramination conditions. The subsequent model and correlations to SUVA has the potential to aid the water treatment industry as a tool in developing strategies that minimize DBP formation while maintaining the microbial integrity of the water distribution system.
Keywords :
MonochloramineNatural organic matter (NOM)ChlorinationDisinfection by-products (DBPs)Dichloroacetic acid (DCAA)Specific ultraviolet absorbance(SUVA)Disinfection models
Journal title :
Water Research
Serial Year :
2006
Journal title :
Water Research
Record number :
773040
Link To Document :
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