Articles | Volume 18, issue 12
https://doi.org/10.5194/acp-18-8667-2018
https://doi.org/10.5194/acp-18-8667-2018
Research article
 | 
20 Jun 2018
Research article |  | 20 Jun 2018

A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands

Ayodeji Akingunola, Paul A. Makar, Junhua Zhang, Andrea Darlington, Shao-Meng Li, Mark Gordon, Michael D. Moran, and Qiong Zheng

Related authors

Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1
Roya Ghahreman, Wanmin Gong, Paul A. Makar, Alexandru Lupu, Amanda Cole, Kulbir Banwait, Colin Lee, and Ayodeji Akingunola
Geosci. Model Dev., 17, 685–707, https://doi.org/10.5194/gmd-17-685-2024,https://doi.org/10.5194/gmd-17-685-2024, 2024
Short summary
Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation
Debora Griffin, Chris A. McLinden, Enrico Dammers, Cristen Adams, Chelsea E. Stockwell, Carsten Warneke, Ilann Bourgeois, Jeff Peischl, Thomas B. Ryerson, Kyle J. Zarzana, Jake P. Rowe, Rainer Volkamer, Christoph Knote, Natalie Kille, Theodore K. Koenig, Christopher F. Lee, Drew Rollins, Pamela S. Rickly, Jack Chen, Lukas Fehr, Adam Bourassa, Doug Degenstein, Katherine Hayden, Cristian Mihele, Sumi N. Wren, John Liggio, Ayodeji Akingunola, and Paul Makar
Atmos. Meas. Tech., 14, 7929–7957, https://doi.org/10.5194/amt-14-7929-2021,https://doi.org/10.5194/amt-14-7929-2021, 2021
Short summary
Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model
Sepehr Fathi, Mark Gordon, Paul A. Makar, Ayodeji Akingunola, Andrea Darlington, John Liggio, Katherine Hayden, and Shao-Meng Li
Atmos. Chem. Phys., 21, 15461–15491, https://doi.org/10.5194/acp-21-15461-2021,https://doi.org/10.5194/acp-21-15461-2021, 2021
Short summary
Vehicle-induced turbulence and atmospheric pollution
Paul A. Makar, Craig Stroud, Ayodeji Akingunola, Junhua Zhang, Shuzhan Ren, Philip Cheung, and Qiong Zheng
Atmos. Chem. Phys., 21, 12291–12316, https://doi.org/10.5194/acp-21-12291-2021,https://doi.org/10.5194/acp-21-12291-2021, 2021
Short summary
Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model
Paul A. Makar, Ayodeji Akingunola, Jack Chen, Balbir Pabla, Wanmin Gong, Craig Stroud, Christopher Sioris, Kerry Anderson, Philip Cheung, Junhua Zhang, and Jason Milbrandt
Atmos. Chem. Phys., 21, 10557–10587, https://doi.org/10.5194/acp-21-10557-2021,https://doi.org/10.5194/acp-21-10557-2021, 2021
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
An improved estimate of inorganic iodine emissions from the ocean using a coupled surface microlayer box model
Ryan J. Pound, Lucy V. Brown, Mat J. Evans, and Lucy J. Carpenter
Atmos. Chem. Phys., 24, 9899–9921, https://doi.org/10.5194/acp-24-9899-2024,https://doi.org/10.5194/acp-24-9899-2024, 2024
Short summary
Impact of improved representation of volatile organic compound emissions and production of NOx reservoirs on modeled urban ozone production
Katherine R. Travis, Benjamin A. Nault, James H. Crawford, Kelvin H. Bates, Donald R. Blake, Ronald C. Cohen, Alan Fried, Samuel R. Hall, L. Gregory Huey, Young Ro Lee, Simone Meinardi, Kyung-Eun Min, Isobel J. Simpson, and Kirk Ullman
Atmos. Chem. Phys., 24, 9555–9572, https://doi.org/10.5194/acp-24-9555-2024,https://doi.org/10.5194/acp-24-9555-2024, 2024
Short summary
The effect of different climate and air quality policies in China on in situ ozone production in Beijing
Beth S. Nelson, Zhenze Liu, Freya A. Squires, Marvin Shaw, James R. Hopkins, Jacqueline F. Hamilton, Andrew R. Rickard, Alastair C. Lewis, Zongbo Shi, and James D. Lee
Atmos. Chem. Phys., 24, 9031–9044, https://doi.org/10.5194/acp-24-9031-2024,https://doi.org/10.5194/acp-24-9031-2024, 2024
Short summary
Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations
Amir H. Souri, Bryan N. Duncan, Sarah A. Strode, Daniel C. Anderson, Michael E. Manyin, Junhua Liu, Luke D. Oman, Zhen Zhang, and Brad Weir
Atmos. Chem. Phys., 24, 8677–8701, https://doi.org/10.5194/acp-24-8677-2024,https://doi.org/10.5194/acp-24-8677-2024, 2024
Short summary
Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2)
Haipeng Lin, Louisa K. Emmons, Elizabeth W. Lundgren, Laura Hyesung Yang, Xu Feng, Ruijun Dang, Shixian Zhai, Yunxiao Tang, Makoto M. Kelp, Nadia K. Colombi, Sebastian D. Eastham, Thibaud M. Fritz, and Daniel J. Jacob
Atmos. Chem. Phys., 24, 8607–8624, https://doi.org/10.5194/acp-24-8607-2024,https://doi.org/10.5194/acp-24-8607-2024, 2024
Short summary

Cited articles

Ashrafi, K., Orkomi, A. A., and Motlagh, M. S.: Direct effect of atmospheric turbulence on plume rise in a neutral atmosphere, Atmos. Pollut. Res., 8 640–651, 2017. 
Belair, S., Crevier, L.-P., Mailhot, J., Bilodeau, B., and Delage, Y.: Operational implementation of the ISBA land surface scheme in the Canadian regional weather forecast model, J. Hydrometeorol., 4, 352–370, 2003a. 
Belair, S., Brown, R., Mailhot, J., Bilodeau, B., and Crevier, L.-P.: Operational implementation of the ISBA land surface scheme in the Canadian regional weather forecast model. Part II: cold season results, J. Hydrometeorol., 4, 371–386, 2003b. 
Bieser, J., Aulinger, A., Matthias, V., Quante, M., and Denier van der Gon, H. A. C.: Vertical emission profiles for Europe based on plume rise calculations, Environ. Pollut., 159, 2935–2946. https://doi.org/10.1016/j.envpol.2011.04.030, 2011. 
Briggs, G. A.: Plume rise. Report for U.S. Atomic Energy Commission, Critical Review Series, Technical Information Division report TID-25075, National Technical Information Service, Oak Ridge, Tennessee, USA, 1969. 
Download
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 %.
Altmetrics
Final-revised paper
Preprint