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Response to the External Peer Review of the Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM) Version 3.5
Citation:
BURKE, J. M. Response to the External Peer Review of the Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM) Version 3.5. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-10/155, 2012.
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
EPA's National Exposure Research Laboratory (NERL) has developed a human exposure model for assessing the variability and uncertainty in population exposures to particulate matter, called the Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM). SHEDS-PM simulates the time-series of inhalation exposure and dose for individuals that demographically represent a population of interest based on PM concentrations supplied as input to the model. The generation of the time-series involves stochastic processes utilizing numerical Monte-Carlo sampling to characterize the variability within an individual over time and between individuals across a population. Uncertainty in the model output is estimated by incorporating the knowledge- and/or measurement-based uncertainty associated with the inputs through multiple iterations of the model.