|Title||Modeling Exposure to Persistent Chemicals in Hazard and Risk Assessment|
|Publication Type||Journal Article|
|LBNL Report Number||LBNL-2373E|
|Year of Publication||2009|
|Authors||Cowan-Ellsberry, Christina E., Michael S. McLachlan, Jon A. Arnot, Matthew Macleod, Thomas E. McKone, and Frank Wania|
|Secondary Title||Integrated Environmental Assessment and Management (IEAM)|
|Keywords||environmental chemistry, exposure & risk group, exposure, exposure and health effects, indoor environment department, modeling, pbt, pops, risk assessment|
Fate and exposure modeling has not thus far been explicitly used in the risk profiledocuments prepared to evaluate significant adverse effect of candidate chemicals for either the Stockholm Convention or the Convention on Long-Range Transboundary Air Pollution. However, we believe models have considerable potential to improve the risk profiles. Fate and exposure models are already used routinely in other similar regulatory applications to inform decisions, and they have been instrumental in building our current understanding of the fate of POP and PBT chemicals in the environment. The goal of this paper is to motivate the use of fate and exposure models in preparing risk profiles in the POP assessment procedure by providing strategies for incorporating and using models. The ways that fate and exposure models can be used to improve and inform the development of risk profiles include:• Benchmarking the ratio of exposure and emissions of candidate chemicals to the same ratio for known POPs, thereby opening the possibility of combining this ratio with the relative emissions and relative toxicity to arrive at a measure of relative risk.• Directly estimating the exposure of the environment, biota and humans to provideinformation to complement measurements, or where measurements are not available or are limited.• To identify the key processes and chemical and/or environmental parameters that determine the exposure; thereby allowing the effective prioritization of research or measurements to improve the risk profile.• Predicting future time trends including how quickly exposure levels in remote areas would respond to reductions in emissions.Currently there is no standardized consensus model for use in the risk profile context.Therefore, to choose the appropriate model the risk profile developer must evaluate how appropriate an existing model is for a specific setting and whether the assumptions and input data are relevant in the context of the application.It is possible to have confidence in the predictions of many of the existing modelsbecause of their fundamental physical and chemical mechanistic underpinnings and the extensive work already done to compare model predictions and empirical observations. The working group recommends that modeling tools be applied for benchmarking PBT/POPs according to exposure-to-emissions relationships, and that modeling tools be used to interpret emissions and monitoring data. The further development of models that couple fate, long-range transport, and bioaccumulation should be fostered, especially models that will allow time trends to be scientifically addressed in the risk profile.