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Adjoint-based Source Attribution of PM Health Impacts
The 11th Annual Community Modeling Analysis System Conference (2012)
  • Matthew Turner, University of Colorado, Boulder
  • Daven Henze, University of Colorado, Boulder
  • A. Hakami, Carleton University
  • S. Zhao, Carleton University
  • J. Resler, ICS Prague
  • G. B. Carmichael, University of Iowa
  • C. Stanier, University of Iowa
  • J. Baek, University of Iowa
  • P. Saide, University of Iowa
  • A. Sandu, Virginia Tech
  • A. Russel, Georgia Tech
  • G. Jeong, Georgia Tech
  • A. Nenes, Georgia Tech
  • Stephan Alexander Capps, USEPA
  • P. Percell, University of Houston
  • R. Pinder, USEPA
  • S. Napelenok, USEPA
  • H. Pye, USEPA
  • J. Bash, USEPA
  • T. Chai, NOAA
  • Ying Li, Columbia University
  • P. Kinney, Columbia University
  • D. Jack, Columbia University
Long-term exposure to fine particulate matter has been associated with adverse health effects, including premature mortality. In 2011 the World Health Organization estimated that urban outdoor air pollution is the cause of approximately 1.3 million premature deaths worldwide per year. Studies have suggested that PM mixtures with a high BC percentage may have greater effects on mortality than mixtures low in BC. Quantifying the role of emissions from different sectors and different locations in governing the total health impacts is critical towards developing effective control strategies. To answer such questions, an adjoint model can provide sensitivities of excess mortality (through the use of the concentration response functions) with respect to emissions at a highly resolved spatial and sectoral level of specificity. This tool can be used to determine the sensitivity of mortality in a region with respect to emissions throughout the modeled domain. From a single simulation of the CMAQ Adjoint model, we are able to obtain sensitivities of premature mortality due to regional BC concentrations with respect to BC emissions from any and all sectors of the continental United States. 
  • adjoint-based,
  • source attribution,
  • PM health impacts,
  • particulate matter,
  • health effects,
  • black carbon,
  • premature mortality,
  • BC,
  • United State,
  • CMAQ Adjoint model
Publication Date
October, 2012
Chapel Hill, NC
Abstract is also available through the Annual Community Modeling Analysis System Conference.
Citation Information
Matthew Turner, Daven Henze, A. Hakami, S. Zhao, et al.. "Adjoint-based Source Attribution of PM Health Impacts" The 11th Annual Community Modeling Analysis System Conference (2012)
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