Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10459-2018
https://doi.org/10.5194/acp-18-10459-2018
Research article
 | 
23 Jul 2018
Research article |  | 23 Jul 2018

Emissions preparation and analysis for multiscale air quality modeling over the Athabasca Oil Sands Region of Alberta, Canada

Junhua Zhang, Michael D. Moran, Qiong Zheng, Paul A. Makar, Pegah Baratzadeh, George Marson, Peter Liu, and Shao-Meng Li

Related authors

Impact of Athabasca oil sands operations on mercury levels in air and deposition
Ashu Dastoor, Andrei Ryjkov, Gregor Kos, Junhua Zhang, Jane Kirk, Matthew Parsons, and Alexandra Steffen
Atmos. Chem. Phys., 21, 12783–12807, https://doi.org/10.5194/acp-21-12783-2021,https://doi.org/10.5194/acp-21-12783-2021, 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
New methodology shows short atmospheric lifetimes of oxidized sulfur and nitrogen due to dry deposition
Katherine Hayden, Shao-Meng Li, Paul Makar, John Liggio, Samar G. Moussa, Ayodeji Akingunola, Robert McLaren, Ralf M. Staebler, Andrea Darlington, Jason O'Brien, Junhua Zhang, Mengistu Wolde, and Leiming Zhang
Atmos. Chem. Phys., 21, 8377–8392, https://doi.org/10.5194/acp-21-8377-2021,https://doi.org/10.5194/acp-21-8377-2021, 2021
Short summary
How much does traffic contribute to benzene and polycyclic aromatic hydrocarbon air pollution? Results from a high-resolution North American air quality model centred on Toronto, Canada
Cynthia H. Whaley, Elisabeth Galarneau, Paul A. Makar, Michael D. Moran, and Junhua Zhang
Atmos. Chem. Phys., 20, 2911–2925, https://doi.org/10.5194/acp-20-2911-2020,https://doi.org/10.5194/acp-20-2911-2020, 2020
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Estimating the variability in NOx emissions from Wuhan with TROPOMI NO2 data during 2018 to 2023
Qianqian Zhang, K. Folkert Boersma, Chiel van der Laan, Alba Mols, Bin Zhao, Shengyue Li, and Yuepeng Pan
Atmos. Chem. Phys., 25, 3313–3326, https://doi.org/10.5194/acp-25-3313-2025,https://doi.org/10.5194/acp-25-3313-2025, 2025
Short summary
Enhanced understanding of atmospheric blocking modulation on ozone dynamics within a high-resolution Earth system model
Wenbin Kou, Yang Gao, Dan Tong, Xiaojie Guo, Xiadong An, Wenyu Liu, Mengshi Cui, Xiuwen Guo, Shaoqing Zhang, Huiwang Gao, and Lixin Wu
Atmos. Chem. Phys., 25, 3029–3048, https://doi.org/10.5194/acp-25-3029-2025,https://doi.org/10.5194/acp-25-3029-2025, 2025
Short summary
Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model
Beata Opacka, Trissevgeni Stavrakou, Jean-François Müller, Isabelle De Smedt, Jos van Geffen, Eloise A. Marais, Rebekah P. Horner, Dylan B. Millet, Kelly C. Wells, and Alex B. Guenther
Atmos. Chem. Phys., 25, 2863–2894, https://doi.org/10.5194/acp-25-2863-2025,https://doi.org/10.5194/acp-25-2863-2025, 2025
Short summary
Anthropogenic emission controls reduce summertime ozone–temperature sensitivity in the United States
Shuai Li, Haolin Wang, and Xiao Lu
Atmos. Chem. Phys., 25, 2725–2743, https://doi.org/10.5194/acp-25-2725-2025,https://doi.org/10.5194/acp-25-2725-2025, 2025
Short summary
Investigating the response of China's surface ozone concentration to the future changes of multiple factors
Jinya Yang, Yutong Wang, Lei Zhang, and Yu Zhao
Atmos. Chem. Phys., 25, 2649–2666, https://doi.org/10.5194/acp-25-2649-2025,https://doi.org/10.5194/acp-25-2649-2025, 2025
Short summary

Cited articles

AESRD (Alberta Environment & Sustainable Resource Development): Report on the Inventory of Oil Sands Inventories, internal report, April, 88 pp., 2013. 
Akingunola, A., Makar, P. A., Zhang, J., Darlington, A., Li, S.-M., Gordon, M., Moran, M. D., and Zheng, Q.: A chemical transport model study of plume-rise and particle size distribution for the Athabasca oil sands, Atmos. Chem. Phys., 18, 8667–8688, https://doi.org/10.5194/acp-18-8667-2018, 2018. 
Alberta Energy: Facts and Statistics, Alberta Energy's website, available at: https://web.archive.org/web/20171223160423/http://www.energy.alberta.ca:80/OilSands/791.asp, last access: 15 July 2018. 
Alberta Energy Regulator: ST39 Alberta Mineable Oil Sands Plant Statistics (Updated monthly, 3 months in arrears), Data in MS Excel, February, available at: https://www.aer.ca/documents/sts/ST39-2013.xls (last access: 18 May 2017), 2014. 
Download
Short summary
This paper discusses the development of new synthesized emissions inventories and the generation of air quality model-ready emissions files for the Athabasca Oil Sands Region of Alberta, Canada, using multiple emissions inventories, continuous emissions monitoring data, and inferred emission rates based on aircraft measurements. Novel facility-specific gridded spatial surrogate fields were generated to allocate emissions spatially within each huge mining facility.
Share
Altmetrics
Final-revised paper
Preprint