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Anthropogenic drivers of 2013-2017 trends in summer surface ozone in China.
- Source :
-
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2019 Jan 08; Vol. 116 (2), pp. 422-427. Date of Electronic Publication: 2018 Dec 31. - Publication Year :
- 2019
-
Abstract
- Observations of surface ozone available from ∼1,000 sites across China for the past 5 years (2013-2017) show severe summertime pollution and regionally variable trends. We resolve the effect of meteorological variability on the ozone trends by using a multiple linear regression model. The residual of this regression shows increasing ozone trends of 1-3 ppbv a <superscript>-1</superscript> in megacity clusters of eastern China that we attribute to changes in anthropogenic emissions. By contrast, ozone decreased in some areas of southern China. Anthropogenic NO <subscript>x</subscript> emissions in China are estimated to have decreased by 21% during 2013-2017, whereas volatile organic compounds (VOCs) emissions changed little. Decreasing NO <subscript>x</subscript> would increase ozone under the VOC-limited conditions thought to prevail in urban China while decreasing ozone under rural NO <subscript>x</subscript> -limited conditions. However, simulations with the Goddard Earth Observing System Chemical Transport Model (GEOS-Chem) indicate that a more important factor for ozone trends in the North China Plain is the ∼40% decrease of fine particulate matter (PM <subscript>2.5</subscript> ) over the 2013-2017 period, slowing down the aerosol sink of hydroperoxy (HO <subscript>2</subscript> ) radicals and thus stimulating ozone production.<br />Competing Interests: The authors declare no conflict of interest.<br /> (Copyright © 2019 the Author(s). Published by PNAS.)
Details
- Language :
- English
- ISSN :
- 1091-6490
- Volume :
- 116
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Publication Type :
- Academic Journal
- Accession number :
- 30598435
- Full Text :
- https://doi.org/10.1073/pnas.1812168116