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es in exposure that arise because of age. However, that aspect of variability in exposure over long periods has generally not received much attention in exposure modeling.

Short-Term Exposure Modeling

The typical steady-state airborne-concentration models are not able to provide estimates below 1-hour averages and have difficulty in modeling concentrations that vary widely over time and that can lead to short-term high exposures. If an exposure model is to estimate the effects of peak exposures on sensitive populations, the concentration model must provide reliable estimates for the time scales needed. There have been some important developments in stochastic models that could provide such estimates, but these developments have not yet been incorporated into the procedures for estimating exposure.



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