Inhalation Exposure Simulation Modeling
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PROJECT
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| Aims:
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This project seeks to develop, apply, and evaluate models of human exposure to air pollution in homes, cars, outdoors, public locations, offices, etc. These models make use of human activity pattern data, material balance models, monitoring data, and environmental parameters to predict exposures and explore their determinants for both individuals and populations. A main goal is to identify ways to reduce or eliminate hazardous exposures from our everyday lives.
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| Hypotheses:
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Activity-based models of human exposure can accurately characterize individual or population exposure levels, and they are useful for exploring the determinants of exposure and approaches to reducing or eliminating dangerous exposures.
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| Investigators:
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Neil E. Klepeis
Wayne R. Ott
Paul Switzer
William Nazaroff
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| Methods:
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Monte-Carlo Sampling
Human Activity Patterns
Mass Balance Model
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