TagO3(1)

Modeling variability in air pollution-related health damages from individual airport emissions Stefani L. Penna,⁎, Scott T. Booneb, Brian C. Harveyc, Wendy Heiger-Bernaysa, Yorghos Tripodisd, Sarav Arunachalamb, Jonathan I. Levya a Boston University School of Public Health, Department of Environmental Health, 715 Albany St 4W Boston, MA 02118, United States b University of North Carolina at Chapel Hill, UNC Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, United States c Boston University College of Engineering, Department of Biomedical Engineering, 44 Cummington Mall, Boston, MA 02215, United States d Boston University School of Public Health, Department of Biostatistics, 801 Massachusetts Ave., Boston, MA 02118, United States A R T I C L E I N F O Keywords: Aviation emissions CMAQ modeling Regression modeling Air pollution A B S T R A C T In this study, we modeled concentrations of fine particulate matter (PM2.5) and ozone (O3) attributable to precursor emissions from individual airports in the United States, developing airport-specific health damage functions (deaths per 1000 t of precursor emissions) and physically-interpretable regression models to explain variability in these functions. We applied the Community Multiscale Air Quality model using the Decoupled Direct Method to isolate PM2.5- or O3-related contributions from precursor pollutants emitted by 66 individual airports. We linked airport- and pollutant-specific concentrations with population data and literature-based concentration-response functions to create health damage functions. Deaths per 1000 t of primary PM2.5 emissions ranged from 3 to 160 across airports, with variability explained by population patterns within 500…