Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment

Matthew D Turner; Daven K Henze; Amir Hakami; Shunliu Zhao; Jaroslav Resler; Gregory R Carmichael; Charles O Stanier; Jaemeen Baek; Adrian Sandu; Armistead G Russell; Athanasios Nenes; Gill-Ran Jeong; Shannon L Capps; Peter B Percell; Rob W Pinder; Sergey L Napelenok; Jesse O Bash; Tianfeng Chai

doi:10.1021/es505968b

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Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment

Journal article

Peer reviewed

Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment

Matthew D Turner, Daven K Henze, Amir Hakami, Shunliu Zhao, Jaroslav Resler, Gregory R Carmichael, Charles O Stanier, Jaemeen Baek, Adrian Sandu, Armistead G Russell, …

Environmental science & technology, Vol.49(7), pp.4362-4371

04/07/2015

DOI: 10.1021/es505968b

PMID: 25729920

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http://infoscience.epfl.ch/record/257403View

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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.

Environmental Monitoring

United States

Models, Theoretical

Mortality, Premature

Vehicle Emissions - toxicity

Humans

Air Pollutants - adverse effects

Gasoline - adverse effects

Seasons

Soot - adverse effects

Details

Title: Subtitle: Differences between magnitudes and health impacts of BC emissions across the United States using 12 km scale seasonal source apportionment
Creators: Matthew D Turner - †Mechanical Engineering Department, University of Colorado, Boulder, Colorado 80309, United States
Daven K Henze - †Mechanical Engineering Department, University of Colorado, Boulder, Colorado 80309, United States
Amir Hakami - ‡Department of Civil and Environmental Engineering, Carleton University, Ottawa, Ontario K1S 5B6, Canada
Shunliu Zhao - ‡Department of Civil and Environmental Engineering, Carleton University, Ottawa, Ontario K1S 5B6, Canada
Jaroslav Resler - §Nonlinear Modeling, Institute of Computer Science, Prague 182 07, Czech Republic
Gregory R Carmichael - ∥Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
Charles O Stanier - ∥Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
Jaemeen Baek - ∥Department of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
Adrian Sandu - ⊥Computer Science, Virginia Tech, Blacksburg, Virginia 24061, United States
Armistead G Russell
Athanasios Nenes - ▲School of Chemical and Biomolecular Engineering, Georgia Tech, Atlanta, Georgia 30332, United States
Gill-Ran Jeong - ◇Korea Institute of Atmospheric Prediction Systems, Seoul 156-849, Republic of Korea
Shannon L Capps - □Atmospheric Modeling and Analysis Division, U.S. EPA, Research Triangle Park, North Carolina 27711, United States
Peter B Percell - ◆Department of Geosciences, University of Houston, Houston, Texas 77004, United States
Rob W Pinder - □Atmospheric Modeling and Analysis Division, U.S. EPA, Research Triangle Park, North Carolina 27711, United States
Sergey L Napelenok - □Atmospheric Modeling and Analysis Division, U.S. EPA, Research Triangle Park, North Carolina 27711, United States
Jesse O Bash - □Atmospheric Modeling and Analysis Division, U.S. EPA, Research Triangle Park, North Carolina 27711, United States
Tianfeng Chai - △Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, Maryland 20740, United States
Resource Type: Journal article
Publication Details: Environmental science & technology, Vol.49(7), pp.4362-4371
DOI: 10.1021/es505968b
PMID: 25729920
NLM abbreviation: Environ Sci Technol
ISSN: 0013-936X
eISSN: 1520-5851
Publisher: United States
Grant note: P30 ES005605 / NIEHS NIH HHS
Language: English
Date published: 04/07/2015
Academic Unit: Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
Record Identifier: 9984003436202771

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