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
Viewed
Total article views: 2,911 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,550 | 1,298 | 63 | 2,911 | 60 | 58 |
- HTML: 1,550
- PDF: 1,298
- XML: 63
- Total: 2,911
- BibTeX: 60
- EndNote: 58
Total article views: 2,424 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,254 | 1,122 | 48 | 2,424 | 49 | 48 |
- HTML: 1,254
- PDF: 1,122
- XML: 48
- Total: 2,424
- BibTeX: 49
- EndNote: 48
Total article views: 487 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 296 | 176 | 15 | 487 | 11 | 10 |
- HTML: 296
- PDF: 176
- XML: 15
- Total: 487
- BibTeX: 11
- EndNote: 10
Viewed (geographical distribution)
Total article views: 2,911 (including HTML, PDF, and XML)
Thereof 2,906 with geography defined
and 5 with unknown origin.
Total article views: 2,424 (including HTML, PDF, and XML)
Thereof 2,408 with geography defined
and 16 with unknown origin.
Total article views: 487 (including HTML, PDF, and XML)
Thereof 498 with geography defined
and -11 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
27 citations as recorded by crossref.
- Local air pollution from oil rig emissions observed during the airborne DACCIWA campaign V. Brocchi et al. 10.5194/acp-19-11401-2019
- Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. 10.5194/acp-21-15461-2021
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al. 10.3390/rs12244112
- Vehicle-induced turbulence and atmospheric pollution P. Makar et al. 10.5194/acp-21-12291-2021
- Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. 10.1029/2018JD030001
- 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
- Evaporative Cooling Does Not Prevent Vertical Dispersion of Effervescent Seawater Aerosol for Brightening Clouds D. Hernandez-Jaramillo et al. 10.1021/acs.est.3c04793
- The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03 J. Chen et al. 10.5194/gmd-12-3283-2019
- Improvement of Surface PM2.5 Diurnal Variation Simulations in East Africa for the MAIA Satellite Mission C. Li et al. 10.1021/acsestair.3c00008
- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- Estimates of exceedances of critical loads for acidifying deposition in Alberta and Saskatchewan P. Makar et al. 10.5194/acp-18-9897-2018
- High‐Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands D. Griffin et al. 10.1029/2018GL081095
- 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
- The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. 10.5194/acp-23-14779-2023
- Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean M. Ooi et al. 10.5194/acp-21-12521-2021
- 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
- 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
- Expansion of a size disaggregation profile library for particulate matter emissions processing from three generic profiles to 36 source-type-specific profiles E. Boutzis et al. 10.1080/10962247.2020.1743794
- 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
- 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
- Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments M. Koushafar et al. 10.3390/rs15123083
- A comparison of plume rise algorithms to stack plume measurements in the Athabasca oil sands M. Gordon et al. 10.5194/acp-18-14695-2018
- 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
- The use of hierarchical clustering for the design of optimized monitoring networks J. Soares et al. 10.5194/acp-18-6543-2018
26 citations as recorded by crossref.
- Local air pollution from oil rig emissions observed during the airborne DACCIWA campaign V. Brocchi et al. 10.5194/acp-19-11401-2019
- Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. 10.5194/acp-21-15461-2021
- An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
- Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al. 10.3390/rs12244112
- Vehicle-induced turbulence and atmospheric pollution P. Makar et al. 10.5194/acp-21-12291-2021
- Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. 10.1029/2018JD030001
- 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
- Evaporative Cooling Does Not Prevent Vertical Dispersion of Effervescent Seawater Aerosol for Brightening Clouds D. Hernandez-Jaramillo et al. 10.1021/acs.est.3c04793
- The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03 J. Chen et al. 10.5194/gmd-12-3283-2019
- Improvement of Surface PM2.5 Diurnal Variation Simulations in East Africa for the MAIA Satellite Mission C. Li et al. 10.1021/acsestair.3c00008
- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- Estimates of exceedances of critical loads for acidifying deposition in Alberta and Saskatchewan P. Makar et al. 10.5194/acp-18-9897-2018
- High‐Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands D. Griffin et al. 10.1029/2018GL081095
- 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
- The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. 10.5194/acp-23-14779-2023
- Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean M. Ooi et al. 10.5194/acp-21-12521-2021
- 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
- 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
- Expansion of a size disaggregation profile library for particulate matter emissions processing from three generic profiles to 36 source-type-specific profiles E. Boutzis et al. 10.1080/10962247.2020.1743794
- 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
- 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
- Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments M. Koushafar et al. 10.3390/rs15123083
- A comparison of plume rise algorithms to stack plume measurements in the Athabasca oil sands M. Gordon et al. 10.5194/acp-18-14695-2018
- 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
1 citations as recorded by crossref.
Latest update: 24 Apr 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...
Altmetrics
Final-revised paper
Preprint