Articles | Volume 18, issue 19
https://doi.org/10.5194/acp-18-14695-2018
© 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-18-14695-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2018
Research article |
| 12 Oct 2018
| 12 Oct 2018
A comparison of plume rise algorithms to stack plume measurements in the Athabasca oil sands
Earth and Space Science and Engineering, York University, Canada
Paul A. Makar
Air Quality Modelling and Integration Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate, Science and
Technology Branch, Environment and Climate Change Canada, Canada
Ralf M. Staebler
Air Quality Processes Research Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate,
Science and Technology Branch, Environment and Climate Change Canada, Canada
Junhua Zhang
Air Quality Modelling and Integration Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate, Science and
Technology Branch, Environment and Climate Change Canada, Canada
Ayodeji Akingunola
Air Quality Modelling and Integration Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate, Science and
Technology Branch, Environment and Climate Change Canada, Canada
Wanmin Gong
Air Quality Modelling and Integration Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate, Science and
Technology Branch, Environment and Climate Change Canada, Canada
Shao-Meng Li
Air Quality Processes Research Section, Air Quality Research
Division, Atmospheric Science and Technology Directorate,
Science and Technology Branch, Environment and Climate Change Canada, Canada
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Cited
30 citations as recorded by crossref.
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Validation of MAX-DOAS retrievals of aerosol extinction, SO2, and NO2 through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
- Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments M. Koushafar et al. 10.3390/rs15123083
- Using a modified version of Airpacts model for estimating the damage posed by sulfur dioxide emission from power plants to urban and rural building façades (case study: Shahid Rajaee power plant, Qazvin Province, Iran) E. Mojaver et al. 10.1007/s10661-021-09098-8
- Evaporative Cooling Does Not Prevent Vertical Dispersion of Effervescent Seawater Aerosol for Brightening Clouds D. Hernandez-Jaramillo et al. 10.1021/acs.est.3c04793
- Study of SO2 Pollution in the Middle East Using MERRA‐2, CAMS Data Assimilation Products, and High‐Resolution WRF‐Chem Simulations A. Ukhov et al. 10.1029/2019JD031993
- Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil L. Hoinaski et al. 10.5194/essd-16-2385-2024
- 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
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. 10.5194/amt-15-5841-2022
- 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
- Passive-tracer modelling at super-resolution with Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) to assess mass-balance schemes S. Fathi et al. 10.5194/gmd-16-5069-2023
- Vehicle-induced turbulence and atmospheric pollution P. Makar et al. 10.5194/acp-21-12291-2021
- 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
- Assessing the impact of shipping emissions on air pollution in the Canadian Arctic and northern regions: current and future modelled scenarios W. Gong et al. 10.5194/acp-18-16653-2018
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. 10.5194/amt-17-6889-2024
- 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
- The importance of moist thermodynamics on neutral buoyancy height for plumes from anthropogenic sources S. Fathi et al. 10.5194/acp-25-2385-2025
- An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
- 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
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. 10.5194/acp-23-14779-2023
- Estimates of the Height of Rise and Buoyancy of Smoke Plumes from High Chimneys of Thermal Power Plants from Satellite Information V. Raputa et al. 10.1134/S1024856023060167
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
- Temporal and Spatial Trends of Polycyclic Aromatic Compounds in Air across the Athabasca Oil Sands Region Reflect Inputs from Open Pit Mining and Forest Fires J. Schuster et al. 10.1021/acs.estlett.9b00010
- 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
- Estimates of exceedances of critical loads for acidifying deposition in Alberta and Saskatchewan P. Makar et al. 10.5194/acp-18-9897-2018
- Stable sulfur isotope measurements to trace the fate of SO2 in the Athabasca oil sands region N. Amiri et al. 10.5194/acp-18-7757-2018
- Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. 10.1029/2018JD030001
- 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
25 citations as recorded by crossref.
- A decadal synthesis of atmospheric emissions, ambient air quality, and deposition in the oil sands region E. Horb et al. 10.1002/ieam.4539
- Validation of MAX-DOAS retrievals of aerosol extinction, SO2, and NO2 through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
- Deep Convolutional Neural Network for Plume Rise Measurements in Industrial Environments M. Koushafar et al. 10.3390/rs15123083
- Using a modified version of Airpacts model for estimating the damage posed by sulfur dioxide emission from power plants to urban and rural building façades (case study: Shahid Rajaee power plant, Qazvin Province, Iran) E. Mojaver et al. 10.1007/s10661-021-09098-8
- Evaporative Cooling Does Not Prevent Vertical Dispersion of Effervescent Seawater Aerosol for Brightening Clouds D. Hernandez-Jaramillo et al. 10.1021/acs.est.3c04793
- Study of SO2 Pollution in the Middle East Using MERRA‐2, CAMS Data Assimilation Products, and High‐Resolution WRF‐Chem Simulations A. Ukhov et al. 10.1029/2019JD031993
- Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil L. Hoinaski et al. 10.5194/essd-16-2385-2024
- 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
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. 10.5194/amt-15-5841-2022
- 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
- Passive-tracer modelling at super-resolution with Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) to assess mass-balance schemes S. Fathi et al. 10.5194/gmd-16-5069-2023
- Vehicle-induced turbulence and atmospheric pollution P. Makar et al. 10.5194/acp-21-12291-2021
- 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
- Assessing the impact of shipping emissions on air pollution in the Canadian Arctic and northern regions: current and future modelled scenarios W. Gong et al. 10.5194/acp-18-16653-2018
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. 10.5194/amt-17-6889-2024
- 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
- The importance of moist thermodynamics on neutral buoyancy height for plumes from anthropogenic sources S. Fathi et al. 10.5194/acp-25-2385-2025
- An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models J. Wilkins et al. 10.1071/WF20140
- 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
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. 10.5194/acp-23-14779-2023
- Estimates of the Height of Rise and Buoyancy of Smoke Plumes from High Chimneys of Thermal Power Plants from Satellite Information V. Raputa et al. 10.1134/S1024856023060167
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
- Temporal and Spatial Trends of Polycyclic Aromatic Compounds in Air across the Athabasca Oil Sands Region Reflect Inputs from Open Pit Mining and Forest Fires J. Schuster et al. 10.1021/acs.estlett.9b00010
5 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
- Estimates of exceedances of critical loads for acidifying deposition in Alberta and Saskatchewan P. Makar et al. 10.5194/acp-18-9897-2018
- Stable sulfur isotope measurements to trace the fate of SO2 in the Athabasca oil sands region N. Amiri et al. 10.5194/acp-18-7757-2018
- Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. 10.1029/2018JD030001
- 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
Latest update: 23 Mar 2025
Short summary
This work uses aircraft-based measurements of smokestack plumes carried out in northern Alberta in 2013. These measurements are used to test equations used to predict how high in the air smokestack plumes rise. It is important to predict plume rise height accurately as it tells us how far downwind pollutants are carried and what air quality can be expected at the surface. We found that the equations that are typically used significantly underestimate the plume rise at this location.
This work uses aircraft-based measurements of smokestack plumes carried out in northern Alberta...
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