Characterization of dissolved organic matter for prediction of trihalomethane formation potential in surface and sub-surface waters

• Published in: Journal of hazardous materials 2016-05, Vol.308, p.430-439
• Main Authors: Awad, John, van Leeuwen, John, Chow, Christopher, Drikas, Mary, Smernik, Ronald J., Chittleborough, David J., Bestland, Erick
• Format: Article
• Language: English
• Subjects: Abundance; Benzopyrans; Catchment runoff; Catchments; Dissolved organic matter; DOM character; Drinking water; Drinking Water - chemistry; Formations; Fresh Water - chemistry; Humic Substances; Mathematical models; Models, Theoretical; Surface layer; Texture; THMFP; Trihalomethanes - chemistry; Water Pollutants, Chemical - chemistry; Water Supply
• ISSN: 0304-3894; 1873-3336
• DOI: 10.1016/j.jhazmat.2016.01.030

•Models of THMFP based on the character of precursor organics were developed.•UV254, HPSEC-UV and F-EEM provided data that could be used for THMFP prediction.•High removal of humic compounds by enhanced coagulation led to lower THM formation. Dissolved organic matter (DOM) in surface waters used for drinking purposes can vary markedly in character dependent on their sources within catchments. The character of DOM further influences the formation of disinfection by products when precursor DOM present in drinking water reacts with chlorine during disinfection. Here we report the development of models that describe the formation potential of trihalomethanes (THMFP) dependent on the character of DOM in waters from discrete catchments with specific land-use and soil textures. DOM was characterized based on UV absorbance at 254nm, apparent molecular weight and relative abundances of protein-like and humic-like compounds. DOM character and Br concentration (up to 0.5mg/L) were used as variables in models (R2>0.93) of THMFP, which ranged from 19 to 649μg/L. Chloroform concentration (12−594μg/L) and relative abundance (27−99%) were first modeled (R2>0.85) and from these, the abundances of bromodichloromethane and chlorodibromomethane estimated using power and exponential functions, respectively (R2>0.98). From these, the abundance of bromoform is calculated. The proposed model may be used in risk assessment of catchment factors on formation of trihalomethanes in drinking water, in context of treatment efficiency for removal of organic matter.