Articles | Volume 18, issue 18
https://doi.org/10.5194/acp-18-13531-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-13531-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Sep 2018
Research article |
| 25 Sep 2018
| 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
CORRESPONDING AUTHOR
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Paul A. Makar
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Junhua Zhang
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Michael D. Moran
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Ayodeji Akingunola
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Shao-Meng Li
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Amy Leithead
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
Katherine Hayden
Air Quality Research Division, Environment and Climate Change
Canada, 4905 Dufferin Street, Toronto, Ontario, M3H 5T4, Canada
May Siu
Air Quality Research Division, Environment and Climate Change
Canada, 335 River Road, Ottawa, Ontario, K1V 1C7, Canada
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Total article views: 643 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Advances in science and applications of air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection J. Brook et al. 10.1080/10962247.2019.1607689
- Polycyclic aromatic compounds in ambient air in the surface minable area of Athabasca oil sands in Alberta (Canada) A. Wnorowski et al. 10.1016/j.atmosenv.2020.117897
- Modeling Aerosol Effects on Liquid Clouds in the Summertime Arctic R. Ghahreman et al. 10.1029/2021JD034962
- Understanding the Impact of High-NOx Conditions on the Formation of Secondary Organic Aerosol in the Photooxidation of Oil Sand-Related Precursors K. Li et al. 10.1021/acs.est.9b05404
- Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer – a modelling study R. Ghahreman et al. 10.5194/acp-19-14455-2019
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- Secondary organic aerosol formation from <i>α</i>-pinene, alkanes, and oil-sands-related precursors in a new oxidation flow reactor K. Li et al. 10.5194/acp-19-9715-2019
- Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection S. Altshuler et al. 10.1080/10962247.2019.1659192
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China J. An et al. 10.5194/acp-21-2003-2021
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Evaluating SOA formation from different sources of semi- and intermediate-volatility organic compounds from the Athabasca oil sands J. Sommers et al. 10.1039/D1EA00053E
- Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 R. Ghahreman et al. 10.5194/gmd-17-685-2024
- Emissions preparation and analysis for multiscale air quality modeling over the Athabasca Oil Sands Region of Alberta, Canada J. Zhang et al. 10.5194/acp-18-10459-2018
- A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands A. Akingunola et al. 10.5194/acp-18-8667-2018
- The use of hierarchical clustering for the design of optimized monitoring networks J. Soares et al. 10.5194/acp-18-6543-2018
13 citations as recorded by crossref.
- Advances in science and applications of air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection J. Brook et al. 10.1080/10962247.2019.1607689
- Polycyclic aromatic compounds in ambient air in the surface minable area of Athabasca oil sands in Alberta (Canada) A. Wnorowski et al. 10.1016/j.atmosenv.2020.117897
- Modeling Aerosol Effects on Liquid Clouds in the Summertime Arctic R. Ghahreman et al. 10.1029/2021JD034962
- Understanding the Impact of High-NOx Conditions on the Formation of Secondary Organic Aerosol in the Photooxidation of Oil Sand-Related Precursors K. Li et al. 10.1021/acs.est.9b05404
- Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer – a modelling study R. Ghahreman et al. 10.5194/acp-19-14455-2019
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- Secondary organic aerosol formation from <i>α</i>-pinene, alkanes, and oil-sands-related precursors in a new oxidation flow reactor K. Li et al. 10.5194/acp-19-9715-2019
- Advances in science and applications in air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection S. Altshuler et al. 10.1080/10962247.2019.1659192
- Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model P. Makar et al. 10.5194/acp-21-10557-2021
- Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China J. An et al. 10.5194/acp-21-2003-2021
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Evaluating SOA formation from different sources of semi- and intermediate-volatility organic compounds from the Athabasca oil sands J. Sommers et al. 10.1039/D1EA00053E
- Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 R. Ghahreman et al. 10.5194/gmd-17-685-2024
3 citations as recorded by crossref.
- Emissions preparation and analysis for multiscale air quality modeling over the Athabasca Oil Sands Region of Alberta, Canada J. Zhang et al. 10.5194/acp-18-10459-2018
- A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands A. Akingunola et al. 10.5194/acp-18-8667-2018
- The use of hierarchical clustering for the design of optimized monitoring networks J. Soares et al. 10.5194/acp-18-6543-2018
Latest update: 26 Jul 2024
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.
It is shown that using measurement-derived volatile organic compound (VOC) and organic aerosol...
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