Articles | Volume 18, issue 18
Atmos. Chem. Phys., 18, 13531–13545, 2018
https://doi.org/10.5194/acp-18-13531-2018

Special issue: Atmospheric emissions from oil sands development and their...

Atmos. Chem. Phys., 18, 13531–13545, 2018
https://doi.org/10.5194/acp-18-13531-2018

Research article 25 Sep 2018

Research article | 25 Sep 2018

Improving air quality model predictions of organic species using measurement-derived organic gaseous and particle emissions in a petrochemical-dominated region

Craig A. Stroud et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Craig Stroud on behalf of the Authors (01 Aug 2018)  Author's response
ED: Reconsider after major revisions (16 Aug 2018) by Jan W. Bottenheim
AR by Craig Stroud on behalf of the Authors (24 Aug 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (02 Sep 2018) by Jan W. Bottenheim
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Short summary
It is shown that using measurement-derived volatile organic compound (VOC) and organic aerosol (OA) emissions in the GEM-MACH air quality model provides better overall predictions compared to using bottom-up emission inventories. This work was done to better constrain the fugitive organic emissions from the Athabasca oil sands region, which are a challenge to estimate with bottom-up emission approaches. We use observations from the 2013 Joint Oil Sands Monitoring study.
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