The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences
Open accessAbstract
Abstract. Surface ozone data from the Chinese Ministry of Ecology and Environment (MEE) network show sustained increases across the country over the 2013–2019 period. Despite Phase 2 of the Clean Air Action Plan targeting ozone pollution, ozone was higher in 2018–2019 than in previous years. The mean summer 2013–2019 trend in maximum 8 h average (MDA8) ozone was 1.9 ppb a−1 (p<0.01) across China and 3.3 ppb a−1 (p<0.01) over the North China Plain (NCP). Fitting ozone to meteorological variables with a multiple linear regression model shows that meteorology played a significant but not dominant role in the 2013–2019 ozone trend, contributing 0.70 ppb a−1 (p<0.01) across China and 1.4 ppb a−1 (p=0.02) over the NCP. Rising June–July temperatures over the NCP were the main meteorological driver, particularly in recent years (2017–2019), and were associated with increased foehn winds. NCP data for 2017–2019 show a 15 % decrease in fine particulate matter (PM2.5) that may be driving the continued anthropogenic increase in ozone, as well as unmitigated emissions of volatile organic compounds (VOCs). VOC emission reductions, as targeted by Phase 2 of the Chinese Clean Air Action Plan, are needed to reverse the increase in ozone.
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Cites
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., et al. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0758.1 · Cited by 9,010
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., & Wang, X. (2012) · Geoscientific Model Development · doi:10.5194/gmd-5-1471-2012 · Cited by 4,112
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., et al. (2018) · Atmospheric Chemistry and Physics · doi:10.5194/acp-18-14095-2018 · Cited by 2,916
Drivers of improved PM 2.5 air quality in China from 2013 to 2017
Zhang, Q., Zheng, Y., Tong, D., Shao, M., Wang, S., Zhang, Y., Xu, X., Wang, J., He, H., Liu, W., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907956116 · Cited by 2,204
Effect of climate change on air quality
Jacob, D. J., & Winner, D. A. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.09.051 · Cited by 1,979
Self-citationWang, T., Xue, L., Brimblecombe, P., Lam, Y. F., Li, L., & Zhang, L. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.10.081 · Cited by 1,876
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., & Bates, K. H. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1812168116 · Cited by 1,804
Self-citationTai, A. P. K., Mickley, L. J., & Jacob, D. J. (2010) · Atmospheric Environment · doi:10.1016/j.atmosenv.2010.06.060 · Cited by 1,048
Self-citationSevere Surface Ozone Pollution in China: A Global Perspective
Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang, T., Gao, M., Zhao, Y., & Zhang, Y. (2018) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.8b00366 · Cited by 1,040
Self-citationA two-pollutant strategy for improving ozone and particulate air quality in China
Li, K., Jacob, D. J., Liao, H., Zhu, J., Shah, V., Shen, L., Bates, K. H., Zhang, Q., & Zhai, S. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0464-x · Cited by 874
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Cited by
Effects of ground-level ozone pollution on yield and economic losses of winter wheat in Henan, China
Wang, T., Zhang, L., Zhou, S., Zhang, T., Zhai, S., Yang, Z., Wang, D., & Song, H. (2021) · Atmospheric Environment · doi:10.1016/j.atmosenv.2021.118654 · Cited by 42
Metadata
- Authors
- Li, K., Jacob, D. J., Shen, L., Lu, X., De Smedt, I., & Liao, H.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2020-10-06
- Volume
- 20
- Issue
- 19
- Pages
- 11423-11433
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W3091850311
- Cited by
- 745
- References
- 39
- FWCI
- 32.56
- Type
- journal article
- Language
- en
- Open access
- gold
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- Li, K., Jacob, D. J., Shen, L., Lu, X., De Smedt, I., & Liao, H. (2020). Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-20-11423-2020
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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