| Title: | Modeling variability in air pollution-related health damages from individual airport emissions |
| Author(s): | Penn SL; Boone ST; Harvey BC; Heiger-Bernays W; Tripodis Y; Arunachalam S; Levy JI; |
| Address: | "Boston University School of Public Health, Department of Environmental Health, 715 Albany St 4W Boston, MA 02118, United States. Electronic address: spenn@bu.edu. University of North Carolina at Chapel Hill, UNC Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, United States. Electronic address: stboone@live.unc.edu. Boston University College of Engineering, Department of Biomedical Engineering, 44 Cummington Mall, Boston, MA 02215, United States. Electronic address: bharvey@bu.edu. Boston University School of Public Health, Department of Environmental Health, 715 Albany St 4W Boston, MA 02118, United States. Electronic address: whb@bu.edu. Boston University School of Public Health, Department of Biostatistics, 801 Massachusetts Ave., Boston, MA 02118, United States. Electronic address: yorghos@bu.edu. University of North Carolina at Chapel Hill, UNC Institute for the Environment, 100 Europa Dr., Chapel Hill, NC 27517, United States. Electronic address: sarav@email.unc.edu. Boston University School of Public Health, Department of Environmental Health, 715 Albany St 4W Boston, MA 02118, United States. Electronic address: jonlevy@bu.edu" |
| DOI: | 10.1016/j.envres.2017.04.031 |
| ISSN/ISBN: | 1096-0953 (Electronic) 0013-9351 (Linking) |
| Abstract: | "In this study, we modeled concentrations of fine particulate matter (PM(2.5)) and ozone (O(3)) attributable to precursor emissions from individual airports in the United States, developing airport-specific health damage functions (deaths per 1000t 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 PM(2.5)- or O(3)-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 1000t of primary PM(2.5) emissions ranged from 3 to 160 across airports, with variability explained by population patterns within 500km of the airport. Deaths per 1000t of precursors for secondary PM(2.5) varied across airports from 0.1 to 2.7 for NOx, 0.06 to 2.9 for SO(2), and 0.06 to 11 for VOCs, with variability explained by population patterns and ambient concentrations influencing particle formation. Deaths per 1000t of O(3) precursors ranged from -0.004 to 1.0 for NOx and 0.03 to 1.5 for VOCs, with strong seasonality and influence of ambient concentrations. Our findings reinforce the importance of location- and source-specific health damage functions in design of health-maximizing emissions control policies" |
| Keywords: | "Adult Air Pollutants/analysis/toxicity Air Pollution/*adverse effects/analysis *Airports Ammonium Compounds/analysis/toxicity Humans *Models, Theoretical Mortality Nitrogen Oxides/analysis/toxicity Ozone/analysis/toxicity Particulate Matter/analysis/toxic;" |
| Notes: | "MedlinePenn, Stefani L Boone, Scott T Harvey, Brian C Heiger-Bernays, Wendy Tripodis, Yorghos Arunachalam, Sarav Levy, Jonathan I eng Research Support, Non-U.S. Gov't Netherlands 2017/05/16 Environ Res. 2017 Jul; 156:791-800. doi: 10.1016/j.envres.2017.04.031. Epub 2017 May 11" |
