Articles | Volume 18, issue 12
https://doi.org/10.5194/acp-18-8667-2018
© 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-18-8667-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jun 2018
Research article |
| 20 Jun 2018
| 20 Jun 2018
A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands
Ayodeji Akingunola
CORRESPONDING AUTHOR
Modelling and Integration Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Paul A. Makar
CORRESPONDING AUTHOR
Modelling and Integration Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Junhua Zhang
Modelling and Integration Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Andrea Darlington
Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Shao-Meng Li
Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Mark Gordon
Centre for Research In Earth And Space Engineering, York University, Toronto, Canada
Michael D. Moran
Modelling and Integration Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Qiong Zheng
Modelling and Integration Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
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- Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities D. Goldberg et al. 10.1016/j.scitotenv.2019.133805
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- An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada M. Russell et al. 10.5194/acp-19-4393-2019
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs T. Chai et al. 10.5194/acp-23-12907-2023
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Latest update: 22 Nov 2024
Short summary
We examine the manner in which air-quality models simulate lofting of buoyant plumes of emissions from stacks (plume rise) and the impact of the level of detail in algorithms simulating particles' variation in size (particle size distribution). The most commonly used plume rise algorithm underestimates the height of plumes compared to observations, while a revised algorithm has much better performance. A 12-bin size distribution reduced the forecast 2-bin size distribution bias error by 32 %.
We examine the manner in which air-quality models simulate lofting of buoyant plumes of...
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