title: Multimedia persistence as an indicator of potential for population-level intake of environmental contaminants.
abstract: Although intuitively it is apparent that population-level exposure to contaminants dispersed in the environment must be related to the persistence of the contaminant, there has been little effort to quantify this link formally. In this paper we investigate the relationship between overall persistence and/or overall residence time in a multimedia exposure environment and the population-level intake of contaminants as expressed by intake fraction (iF), the cumulative fraction of chemical emitted to the environment that is taken up by members of the population. We demonstrate that for any given contaminant and emission scenario the definition of iF implies that it is directly proportional to the overall multimedia persistence (Pov), or the overall multimedia residence time (Tov). The proportionality constant has dimensions of time and represents the characteristic time for population intake (CTI) of the chemical from the environment. We then apply the CalTOX fate and exposure model to explore how Tov and CTI combine to determine the magnitude of iF We find that CTI has a narrow range of possible values relative to Tov across multiple chemicals and emissions scenarios. We use data from the Canadian Environmental Protection Act Priority Substance List (PSL1) Assessments and multimedia Pov to show that exposure assessments based on empirical observation are consistent with interpretations from the model. Results indicate that Pov derived from screening-level assessments of persistence, bioaccumulation potential, and toxicity (PBT) is a useful indicator of the potential for population-level exposure.
authors.affiliation: Lawrence Berkeley National Laboratory, One Cyclotron Road, 90R-3058, Berkeley, California 94720, USA. mjmacleod@lbl.gov
authors.forename: Matthew
authors.initials: M
authors.lastname: MacLeod
authors.forename: Thomas E
authors.initials: TE
authors.lastname: McKone
mesh_terms: D004781:Environmental Exposure; D004785:Environmental Pollutants / Q000032:analysis*; D005544:Forecasting; D006801:Humans; D008962:Models, Theoretical; D019212:Multimedia; D018570:Risk Assessment
chemical_list: D004785:Environmental Pollutants