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Modeling variability in air pollution-related health damages from individual airport emissions

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Researchers used advanced air quality modeling to estimate the health impacts of emissions from 66 U.S. airports, including how pollution from each individual airport contributes to premature deaths. The study found wide variation in health damage across airports, driven largely by nearby population density and local atmospheric conditions. These findings can help inform emissions control policies at specific airports to better protect public health.

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This study models PM2.5 and ozone concentrations attributable to precursor emissions from 66 individual US airports using the Community Multiscale Air Quality model with the Decoupled Direct Method. Airport-specific health damage functions (deaths per 1000 tons of precursor emissions) are developed and regression models are created to explain variability based on population patterns and atmospheric conditions. Findings emphasize the importance of location- and source-specific health damage functions for emissions control policy design.

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