| Literature DB >> 25729920 |
Matthew D Turner1, Daven K Henze1, Amir Hakami2, Shunliu Zhao2, Jaroslav Resler3, Gregory R Carmichael4, Charles O Stanier4, Jaemeen Baek4, Adrian Sandu5, Armistead G Russell, Athanasios Nenes6, Gill-Ran Jeong7, Shannon L Capps8, Peter B Percell9, Rob W Pinder8, Sergey L Napelenok8, Jesse O Bash8, Tianfeng Chai10,11.
Abstract
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.Mesh:
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Year: 2015 PMID: 25729920 DOI: 10.1021/es505968b
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028