title: A simplified modeling approach using microbial growth kinetics for predicting exposure concentrations of organic chemicals in treated wastewater effluents.
abstract: Various mathematical relationships have been used to assess exposure concentrations of organic chemicals when emissions occur via wastewater treatment. These relationships range from a simple removal factor calculation to more sophisticated approaches using kinetic based mathematical models. While these existing approaches have been used by decision makers to screen new chemicals for exposure assessments, they all have limitations in the predictive capabilities. Thus, a simplified modeling approach grounded in sound scientific fundamentals that utilizes relatively easy to obtain input parameters is needed. In this paper a simplified modeling approach that utilizes microbial growth kinetics was developed for predicting effluent concentrations in secondary biological wastewater treatment systems. Receiving water predicted exposure concentrations (PEC) are assessed by using a dilution factor. One advantage of this approach is that it allows for wastewater treatment plant effluent concentrations, and therefore receiving water exposure levels, to be predicted with a minimum amount of experimental data. It also provides quantitative data that can be used to assess the relative biodegradability of different chemicals for use in regulatory and risk assessment activities.
authors.affiliation: Environmental Science Department, Procter & Gamble Company, Cincinnati, Ohio 45217, USA.
authors.forename: D C
authors.initials: DC
authors.lastname: McAvoy
authors.forename: C P
authors.initials: CP
authors.lastname: Grady
authors.forename: J
authors.initials: J
authors.lastname: Blok
authors.forename: T C
authors.initials: TC
authors.lastname: Feijtel
authors.forename: T W
authors.initials: TW
authors.lastname: Federle
authors.forename: R J
authors.initials: RJ
authors.lastname: Larson
mesh_terms: D001419:Bacteria / Q000254:growth & development*; D001673:Biodegradation, Environmental; D007700:Kinetics; D008954:Models, Biological; D012722:Sewage / Q000737:chemistry*; D014871:Water Microbiology; D014874:Water Pollutants, Chemical / Q000633:toxicity*
chemical_list: D012722:Sewage; D014874:Water Pollutants, Chemical