Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment
Language English Country United States Media print-electronic
Document type Comparative Study, Journal Article, Research Support, U.S. Gov't, Non-P.H.S.
Grant support
P30 ES005605
NIEHS NIH HHS - United States
PubMed
25729920
DOI
10.1021/es505968b
Knihovny.cz E-resources
- MeSH
- Gasoline adverse effects MeSH
- Air Pollutants adverse effects MeSH
- Humans MeSH
- Environmental Monitoring MeSH
- Mortality, Premature * MeSH
- Seasons MeSH
- Soot adverse effects MeSH
- Models, Theoretical * MeSH
- Vehicle Emissions toxicity MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
- Comparative Study MeSH
- Geographicals
- United States MeSH
- Names of Substances
- Gasoline MeSH
- Air Pollutants MeSH
- Soot MeSH
- Vehicle Emissions MeSH
Recent assessments have analyzed the health impacts of PM2.5 from emissions from different locations and sectors using simplified or reduced-form air quality models. Here we present an alternative approach using the adjoint of the Community Multiscale Air Quality (CMAQ) model, which provides source-receptor relationships at highly resolved sectoral, spatial, and temporal scales. While damage resulting from anthropogenic emissions of BC is strongly correlated with population and premature death, we found little correlation between damage and emission magnitude, suggesting that controls on the largest emissions may not be the most efficient means of reducing damage resulting from anthropogenic BC emissions. Rather, the best proxy for locations with damaging BC emissions is locations where premature deaths occur. Onroad diesel and nonroad vehicle emissions are the largest contributors to premature deaths attributed to exposure to BC, while onroad gasoline emissions cause the highest deaths per amount emitted. Emissions in fall and winter contribute to more premature deaths (and more per amount emitted) than emissions in spring and summer. Overall, these results show the value of the high-resolution source attribution for determining the locations, seasons, and sectors for which BC emission controls have the most effective health benefits.
§Nonlinear Modeling Institute of Computer Science Prague 182 07 Czech Republic
†Mechanical Engineering Department University of Colorado Boulder Colorado 80309 United States
‡Department of Civil and Environmental Engineering Carleton University Ottawa Ontario K1S 5B6 Canada
⊥Computer Science Virginia Tech Blacksburg Virginia 24061 United States
▲School of Chemical and Biomolecular Engineering Georgia Tech Atlanta Georgia 30332 United States
◆Department of Geosciences University of Houston Houston Texas 77004 United States
◇Korea Institute of Atmospheric Prediction Systems Seoul 156 849 Republic of Korea
References provided by Crossref.org
A multiphase CMAQ version 5.0 adjoint