Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12291-2021
https://doi.org/10.5194/acp-21-12291-2021
Research article
 | 
17 Aug 2021
Research article |  | 17 Aug 2021

Vehicle-induced turbulence and atmospheric pollution

Paul A. Makar, Craig Stroud, Ayodeji Akingunola, Junhua Zhang, Shuzhan Ren, Philip Cheung, and Qiong Zheng

Related authors

HETerogeneous vectorized or Parallel (HETPv1.0): an updated inorganic heterogeneous chemistry solver for the metastable-state NH4+–Na+–Ca2+–K+–Mg2+–SO42−–NO3–Cl–H2O system based on ISORROPIA II
Stefan J. Miller, Paul A. Makar, and Colin J. Lee
Geosci. Model Dev., 17, 2197–2219, https://doi.org/10.5194/gmd-17-2197-2024,https://doi.org/10.5194/gmd-17-2197-2024, 2024
Short summary
The Global Forest Fire Emissions Prediction System version 1.0
Kerry Anderson, Jack Chen, Peter Englefield, Debora Griffin, Paul Makar, and Dan Thompson
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-31,https://doi.org/10.5194/gmd-2024-31, 2024
Revised manuscript under review for GMD
Short summary
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
Clustering analysis of very large measurement and model datasets on high performance computing platforms
Colin J. Lee, Paul A. Makar, and Joana Soares
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-185,https://doi.org/10.5194/gmd-2023-185, 2023
Publication in GMD not foreseen
Short summary
Ozone in the boreal forest in the Alberta Oil Sands Region
Xuanyi Zhang, Mark Gordon, Paul A. Makar, Timothy Jiang, Jonathan Davies, and David Tarasick
Atmos. Chem. Phys., 23, 13647–13664, https://doi.org/10.5194/acp-23-13647-2023,https://doi.org/10.5194/acp-23-13647-2023, 2023
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis
Kevin Oliveira, Marc Guevara, Oriol Jorba, Hervé Petetin, Dene Bowdalo, Carles Tena, Gilbert Montané Pinto, Franco López, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 24, 7137–7177, https://doi.org/10.5194/acp-24-7137-2024,https://doi.org/10.5194/acp-24-7137-2024, 2024
Short summary
A mechanism of stratospheric O3 intrusion into the atmospheric environment: a case study of the North China Plain
Yuehan Luo, Tianliang Zhao, Kai Meng, Jun Hu, Qingjian Yang, Yongqing Bai, Kai Yang, Weikang Fu, Chenghao Tan, Yifan Zhang, Yanzhe Zhang, and Zhikuan Li
Atmos. Chem. Phys., 24, 7013–7026, https://doi.org/10.5194/acp-24-7013-2024,https://doi.org/10.5194/acp-24-7013-2024, 2024
Short summary
Influence of atmospheric circulation on the interannual variability of transport from global and regional emissions into the Arctic
Cheng Zheng, Yutian Wu, Mingfang Ting, and Clara Orbe
Atmos. Chem. Phys., 24, 6965–6985, https://doi.org/10.5194/acp-24-6965-2024,https://doi.org/10.5194/acp-24-6965-2024, 2024
Short summary
Surface networks in the Arctic may miss a future methane bomb
Sophie Wittig, Antoine Berchet, Isabelle Pison, Marielle Saunois, and Jean-Daniel Paris
Atmos. Chem. Phys., 24, 6359–6373, https://doi.org/10.5194/acp-24-6359-2024,https://doi.org/10.5194/acp-24-6359-2024, 2024
Short summary
Potential of using CO2 observations over India in a regional carbon budget estimation by improving the modelling system
Vishnu Thilakan, Dhanyalekshmi Pillai, Jithin Sukumaran, Christoph Gerbig, Haseeb Hakkim, Vinayak Sinha, Yukio Terao, Manish Naja, and Monish Vijay Deshpande
Atmos. Chem. Phys., 24, 5315–5335, https://doi.org/10.5194/acp-24-5315-2024,https://doi.org/10.5194/acp-24-5315-2024, 2024
Short summary

Cited articles

Abelsohn, A. and Steib, D. M.: Health effects of outdoor air pollution: approach to counseling patients using the Air Quality Health Index, Can. Fam. Physician, 57, 881–887, 2011. 
Adelman, Z., Baek, B. H., Brandmeyer, J., Seppanen, C., Naess, B., and Yang, D.: Spatial Surrogate Development for 2014 Emissions Modeling Platforms, 2017 International Emissions Inventory Conference, 14–18 August, Baltimore, MD, USA, available at: https://www.epa.gov/sites/production/files/2017-11/documents/surrogate_developement.pdf (last access: 21 July 2021), 2017. 
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. 
Bethke, K.-H., Baumgartner, S., Gabele, M., Hounam, D., Kemptner, E., Klement, E., Krieger, G., and Erxleben, R.: Air- and spaceborne monitoring of road traffic using SAR moving target indication – Project TRAMRAD, ISPRS J. Photogramm., 61, 243–259, 2006. 
Bou-Zeid, E., Meneveau, C., and Parlange, M. B.: Large-eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: Blending height and effective surface roughness, Water Resour. Res., 40, W02505, https://doi.org/10.1029/2003WR002475, 2004. 
Download
Short summary
Vehicle pollutant emissions occur in an environment where upward transport can be enhanced due to the turbulence created by the vehicles as they move through the atmosphere. An approach for including these turbulence effects in regional air pollution forecast models has been derived from theoretical, observation, and higher-resolution modeling. The enhanced mixing, which occurs in the immediate vicinity of roadways, changes pollutant concentrations on the regional to continental scale.
Altmetrics
Final-revised paper
Preprint