Newland, Mike J., Bryant, Daniel J., Dunmore, Rachel E., Bannan, Thomas J., Joe, W., Langford, Ben, Hopkins, James R., Squires, Freya A., Dixon, William, Drysdale, William S., Ivatt, Peter D., Evans, Mathew J., Edwards, Peter M., Whalley, Lisa K., Heard, Dwayne E., Slater, Eloise J., Woodward-Massey, Robert, Ye, Chunxiang, Mehra, Archit, Worrall, Stephen D., Bacak, Asan, Coe, Hugh, Percival, Carl J., Nicholas Hewitt, C., Lee, James D., Cui, Tianqu, Surratt, Jason D., Wang, Xinming, Lewis, Alastair C., Rickard, Andrew R. and Hamilton, Jacqueline F. (2021). Low-NO atmospheric oxidation pathways in a polluted megacity. Atmospheric Chemistry and Physics, 21 (3), pp. 1613-1625.
Abstract
The impact of emissions of volatile organic compounds (VOCs) to the atmosphere on the production of secondary pollutants, such as ozone and secondary organic aerosol (SOA), is mediated by the concentration of nitric oxide (NO). Polluted urban atmospheres are typically considered to be "high-NO"environments, while remote regions such as rainforests, with minimal anthropogenic influences, are considered to be "low NO". However, our observations from central Beijing show that this simplistic separation of regimes is flawed. Despite being in one of the largest megacities in the world, we observe formation of gas- and aerosol-phase oxidation products usually associated with low-NO "rainforest-like"atmospheric oxidation pathways during the afternoon, caused by extreme suppression of NO concentrations at this time. Box model calculations suggest that during the morning high-NO chemistry predominates (95 %) but in the afternoon low-NO chemistry plays a greater role (30 %). Current emissions inventories are applied in the GEOS-Chem model which shows that such models, when run at the regional scale, fail to accurately predict such an extreme diurnal cycle in the NO concentration. With increasing global emphasis on reducing air pollution, it is crucial for the modelling tools used to develop urban air quality policy to be able to accurately represent such extreme diurnal variations in NO to accurately predict the formation of pollutants such as SOA and ozone.
Publication DOI: | https://doi.org/10.5194/acp-21-1613-2021 |
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Divisions: | College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry College of Engineering & Physical Sciences |
Funding Information: | Financial support. This research has been supported by the Nat- Acknowledgements. We acknowledge the support from Pingqing Fu, Zifa Wang, Jie Li, and Yele Sun from the IAP for hosting the APHH-Beijing campaign at the IAP. We thank Zongbo Shi, Roy Harrison |
Additional Information: | © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Funding: This research has been supported by the Natural Environment Research Council and the Newton Fund and Medical Research Council in the UK and by the National Natural Science Foundation of China (grant nos. NE/N007190/1 and NE/N006917/1) |
Uncontrolled Keywords: | Atmospheric Science |
Publication ISSN: | 1680-7324 |
Last Modified: | 11 Oct 2024 07:28 |
Date Deposited: | 01 Mar 2021 10:42 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2021-02-08 |
Accepted Date: | 2020-12-01 |
Authors: |
Newland, Mike J.
Bryant, Daniel J. Dunmore, Rachel E. Bannan, Thomas J. Joe, W. Langford, Ben Hopkins, James R. Squires, Freya A. Dixon, William Drysdale, William S. Ivatt, Peter D. Evans, Mathew J. Edwards, Peter M. Whalley, Lisa K. Heard, Dwayne E. Slater, Eloise J. Woodward-Massey, Robert Ye, Chunxiang Mehra, Archit Worrall, Stephen D. ( 0000-0003-1969-3671) Bacak, Asan Coe, Hugh Percival, Carl J. Nicholas Hewitt, C. Lee, James D. Cui, Tianqu Surratt, Jason D. Wang, Xinming Lewis, Alastair C. Rickard, Andrew R. Hamilton, Jacqueline F. |