Abstract
Co-pollution of surface O3 and PM2.5 has become the most predominant type of air pollutions in Beijing-Tianjin-Hebei region in the hot season since 2017, particularly in May–July. Analysis based on observational data showed that co-pollution was always accompanied by high temperature, moderate relative humidity, extremely high SO2, and higher NO2. We also found that the meteorology and precursor dependence of O3 was similar between co-pollution and O3- single pollution. While PM2.5 in co-pollution was more related to temperature, relative humidity, and precursors, that in PM2.5-singe pollution were more related to small winds. These results indicate that co-pollution seemed to be more affected by atmospheric chemistry. According to the PM2.5 components, secondary inorganic aerosols (SIA) composed 44.3–48.7% of PM2.5 in co-pollution, while those accounting for 42.1–46.5% and 41.2–44.3%, respectively, in O3- and PM2.5-single pollution, which further confirmed the relatively stronger atmospheric chemistry processes in co-pollution. And the high proportion of SIA in co-pollution was mainly attributed to SO42−, which was observed to rapidly boom in non-refractory submicron aerosol (NR-PM1) on the condition of high level of O3 at daytime. Additionally, we further explored the interactions of O3 and PM2.5 in co-pollution. It was found that most (~61.9%) co-pollution episodes were initiated by high O3 at daytime; while for other episodes, high PM2.5 firstly occurred under the more stable meteorological conditions, and then accumulation of precursors further induced high O3. A higher SIA concentration was observed in O3-initiated co-pollution, indicating that the atmospheric oxidation in co-pollution caused by chemical processes was stronger than that by physical processes, which was further approved by the higher values of SOR and NOR in O3-initiated co-pollution. This observational study revealed that controlling O3 and precursor SO2 is the key to abating co-pollution in the hot season.
Graphical abstract
Similar content being viewed by others
Data availability
Hourly pollutant observations, including surface O3, PM2.5, NO2, SO2, and CO, can be downloaded from the China National Environmental Monitoring Centre website (CNEMC) (http://www.cnemc.cn/) and archived at https://quotsoft.net/air/. The surface meteorological parameters, including wind speed, wind direction, temperature, and relative humidity, were obtained from the China Meteorological Administration observation network (http://data.cma.cn/). The data of chemical components that support the findings of this study are available on request from the corresponding author (W. Wei).
References
Angelevska, B., Atanasova, V., & Andreevski, I. (2021). Urban air quality guidance based on measures categorization in road transport. Civil Engineering Journal, 7(2), 253–267. https://doi.org/10.28991/cej-2021-03091651
Chen, L., Zhu, J., Liao, H., Yang, Y., & Yue, X. (2020). Meteorological influences on PM2.5 and O3 trends and associated health burden since China’s clean air actions. Science of the Total Environment, 744, 140837. https://doi.org/10.1016/j.scitotenv.2020.140837
Cheng, M., Tang, G., Lv, B., Li, X., Wu, X., Wang, Y., & Wang, Y. (2021). Source apportionment of PM2.5 and visibility in Jinan, China. Journal of Environmental Sciences-China, 102, 207–215. https://doi.org/10.1016/j.jes.2020.09.012
Fang, Y., Ye, C., Wang, J., Wu, Y., Hu, M., Lin, W., Xu, F., & Zhu, T. (2019). Relative humidity and O3 concentration as two prerequisites for sulfate formation. Atmospheric Chemistry and Physics, 19(19), 12295–12307. https://doi.org/10.5194/acp-19-12295-2019
Fenech, S., Doherty, R. M., Heaviside, C., Macintyre, H. L., O’Connor, F. M., Vardoulakis, S., Neal, L., & Agnew, P. (2019). Meteorological drivers and mortality associated with O3 and PM2.5 air pollution episodes in the UK in 2006. Atmospheric Environment, 213, 699–710. https://doi.org/10.1016/j.atmosenv.2019.06.030
Fox, J., & Monette, G. (1992). Generalized collinearity diagnostics. Journal of American Statistical Association, 87, 417. https://doi.org/10.1080/01621459.1992.10475190
Gong, C., Liao, H., Zhang, L., Yue, X., Dang, R., & Yang, Y. (2020). Persistent ozone pollution episodes in North China exacerbated by regional transport. Environmental Pollution, 265, 115056. https://doi.org/10.1016/j.envpol.2020.115056
Guo, X., Ye, Z., Chen, D., Wu, H., Shen, Y., Liu, J., & Cheng, S. (2020). Prediction and mitigation potential of anthropogenic ammonia emissions within the Beijing-Tianjin-Hebei region, China. Environmetal Pollution, 259, 113863. https://doi.org/10.1016/j.envpol.2019.113863
Han, L., Xiang, X., Zhang, H., Cheng, S., Wang, H., Wei, W., Wang, H., & Lang, J. (2019). Insights into submicron particulate evolution, sources and influences on haze pollution in Beijing, China. Atmospheric Environment, 201, 360–368. https://doi.org/10.1016/j.atmosenv.2018.12.045
Huang, X., Liu, Z., Zhang, J., Wen, T., Ji, D., & Wang, Y. (2016). Seasonal variation and secondary formation of size-segregated aerosol water-soluble inorganic ions during pollution episodes in Beijing. Atmospheric Research, 168, 70–79. https://doi.org/10.1016/j.atmosres.2015.08.021
Hughes, D. D., Christiansen, M. B., Milani, A., Vermeuel, M. P., Novak, G. A., Alwe, H. D., Dickens, A. F., Pierce, R. B., Millet, D. B., Bertram, T. H., Stanier, C. O., & Stone, E. A. (2021). PM2.5 chemistry organosulfates and secondary organic aerosol during the 2017 Lake Michigan Ozone Study. Atmospheric Environment 244, 117939. https://doi.org/10.1016/j.atmosenv.2020.117939
Jia, M., Zhao, T., Cheng, X., et al. (2017). Inverse relations of PM2.5 and O3 in air compound pollution between cold and hot seasons over an urban area of east China. Atmosphere-Basel, 8(12), 59. https://doi.org/10.3390/atmos8030059
Kuerban, M., Waili, Y., Fan, F., Liu, Y., Qin, W., Dore, A. J., Peng, J., Xu, W., & Zhang, F. (2020). Spatio-temporal patterns of air pollution in China from 2015 to 2018 and implications for health risks. Environmental Pollution, 258, 113659. https://doi.org/10.1016/j.envpol.2019.113659
Lang, J., Zhang, Y., Zhou, Y., et al. (2017). Trends of PM2.5 and Chemical Composition in Beijing, 2000–2015. Aerosol and Air Quality Research, 17(2), 412–425. https://doi.org/10.4209/aaqr.2016.07.0307
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., & Bates, K. H. (2019). Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China. Proceedings of the National Academy of Sciences, 116(2), 422–427. https://doi.org/10.1073/pnas.1812168116
Liu, Y., & Wang, T. (2020a). Worsening urban ozone pollution in China from 2013 to 2017-Part 2: The effects of emission changes and implications for multi-pollutant control. Atmospheric Chemistry and Physics, 20(11), 6323–6337. https://doi.org/10.5194/acp-20-6323-2020
Liu, Y., & Wang, T. (2020b). Worsening urban ozone pollution in China from 2013 to 2017-Part 1: The complex and varying roles of meteorology. Atmospheric Chemistry and Physics, 20(11), 6305–6321. https://doi.org/10.5194/acp-20-6305-2020
Liu, Z., Wang, Y., Hu, B., et al. (2021). Elucidating the quantitative characterization of atmospheric oxidation capacity in Beijing, China. Science of the Total Environment, 771, 145306. https://doi.org/10.1016/j.scitotenv.2021.145306
Lu, K., Guo, S., Tan, Z., et al. (2019). Exploring atmospheric free-radical chemistry in China: The self-cleansing capacity and the formation of secondary air pollution. National Science Review, 6(3), 579–594. https://doi.org/10.1093/nsr/nwy073
Ma, S., Shao, M., Zhang, Y., Dai, Q., & Xie, M. (2021a). Sensitivity of PM2.5 and O3 pollution episodes to meteorological factors over the North China Plain. Science of the Total Environment, 792, 148474. https://doi.org/10.1016/j.scitotenv.2021.148474
Ma, X., Huang, J., Zhao, T., Liu, C., Zhao, K., Xing, J., & Xiao, W. (2021b). Rapid increase in summer surface ozone over the North China Plain during 2013–2019: A side effect of particulate matter reduction control?. Atmospheric Chemistry and Physics, 21(1), 1–16. https://doi.org/10.5194/acp-21-1-2021
Porter, W. C., & Heald, C. L. (2019). The mechanisms and meteorological drivers of the summertime ozone-temperature relationship. Atmospheric Chemistry and Physics, 19(21), 13367–13381. https://doi.org/10.5194/acp-19-13367-2019
Shao, M., Ren, X., Wang, H., et al. (2004). Quantitative relationship between the generation and elimination of OH and HO2 radicals in the urban atmosphere. Chinese Science Bulletin, 49(17), 1716–1721. https://kns.cnki.net/kns8/defaultresult/index. 2004-09. (in Chinese). Accessed September 2004.
Shao, M., Wang, W., Yuan, B., et al. (2021). Quantifying the role of PM2.5 dropping in variations of ground-level ozone: Inter-comparison between Beijing and Los Angeles. Science of the Total Environment, 788, 147712. https://doi.org/10.1016/j.scitotenv.2021.147712
Shon, Z., Kim, K., Song, S., Jung, K., Kim, N., & Lee, J. (2012). Relationship between water-soluble ions in PM2.5 and their precursor gases in Seoul megacity. Atmospheric Environment, 59, 540–550. https://doi.org/10.1016/j.atmosenv.2012.04.033
Shu, L., Wang, T., Han, H., Xie, M., Chen, P., Li, M., & Wu, H. (2020). Summertime ozone pollution in the Yangtze River Delta of eastern China during 2013–2017: Synoptic impacts and source apportionment. Environmental Pollution, 257, 113631. https://doi.org/10.1016/j.envpol.2019.113631
Slater, J., Tonttila, J., McFiggans, G., Connolly, P., Romakkaniemi, S., Kuhn, T., & Coe, H. (2020). Using a coupled large-eddy simulation-aerosol radiation model to investigate urban haze: Sensitivity to aerosol loading and meteorological conditions. Atmospheric Chemistry and Physics, 20(20), 11893–11906. https://doi.org/10.5194/acp-20-11893-2020
Wang, G., Cheng, S., Wei, W., Wen, W., Wang, X., & Yao, S. (2015). Chemical characteristics of fine particles emitted from different chinese cooking styles. Aerosol and Air Quality Research, 15(6), 2357–2366. https://doi.org/10.4209/aaqr.2015.02.0079
Wang, H., Lu, K., Chen, X., et al. (2017). High N2O5 concentrations observed in urban beijing: Implications of a large nitrate formation pathway. Environmental Science & Technology Letters, 4(10), 416–420. https://doi.org/10.1021/acs.estlett.7b00341
Wang, Q., Fang, J., Shi, W., & Dong, X. (2020). Distribution characteristics and policy-related improvements of PM2.5 and its components in six Chinese cities. Environmental Pollution, 266, 115299. https://doi.org/10.1016/j.envpol.2020.115299
Wang, X., Wei, W., Cheng, S., Wang, R., & Zhu, J. (2021). Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing. Atmospheric Pollution Research, 12(5), 101055. https://doi.org/10.1016/j.apr.2019.09.004
Xu, J., Huang, X., Wang, N., Li, Y., & Ding, A. (2021). Understanding ozone pollution in the Yangtze River Delta of eastern China from the perspective of diurnal cycles. Science of the Total Environment, 752, 141928. https://doi.org/10.1016/j.scitotenv.2020.141928
Xu, W., Kuang, Y., Bian, Y., et al. (2020). Current challenges in visibility improvement in southern china. Environmental Science & Technology Letters, 7(6), 395–401. https://doi.org/10.1021/acs.estlett.0c00274
Yang, Y., Ren, L., Li, H., Wang, H., Wang, P., Chen, L., Yue, X., & Liao, H. (2020). Fast climate responses to aerosol emission reductions during the COVID-19 pandemic. Geophysical Research Letters, 47, 19. https://doi.org/10.1029/2020GL089788
Yu, Y., Wang, Z., He, T., Meng, X., Xie, S., & Yu, H. (2019). Driving factors of the significant increase in surface ozone in the Yangtze River Delta, China, during 2013–2017. Atmospheric Pollution Research, 10(4), 1357–1364. https://doi.org/10.1016/j.apr.2019.03.010
Zha, H., Wang, R., Feng, X., An, C., & Qian, J. (2021). Spatial characteristics of the PM2.5/PM10 ratio and its indicative significance regarding air pollution in Hebei Province, China. Environmental Monitoring and Assessment, 193, 486. https://doi.org/10.1007/s10661-021-09258-w
Zhang, H., Cheng, S., Li, J., Yao, S., & Wang, X. (2019a). Investigating the aerosol mass and chemical components characteristics and feedback effects on the meteorological factors in the Beijing-Tianjin-Hebei region, China. Environmental Pollution, 244, 495–502. https://doi.org/10.1016/j.envpol.2018.10.087
Zhang, H., Cheng, S., Wang, X., Yao, S., & Zhu, F. (2018). Continuous monitoring, compositions analysis and the implication of regional transport for submicron and fine aerosols in Beijing, China. Atmospheric Environment, 195, 30–45. https://doi.org/10.1016/j.atmosenv.2018.09.043
Zhang, Q., Jiang, X., Tong, D., et al. (2017). Transboundary health impacts of transported global air pollution and international trade. Nature, 543(7647), 705–709. https://doi.org/10.1038/nature21712
Zhang, Q., Quan, J., Tie, X., Li, X., Liu, Q., Gao, Y., & Zhao, D. (2015). Effects of meteorology and secondary particle formation on visibility during heavy haze events in Beijing, China. Science of the Total Environment, 502, 578–584. https://doi.org/10.1016/j.scitotenv.2014.09.079
Zhang, Q., Zheng, Y., Tong, D., et al. (2019b). Drivers of improved PM2.5 air quality in China from 2013 to 2017. Proceedings of the National Academy of Sciences, 116(49), 24463–24469. https://doi.org/10.1073/pnas.1907956116
Zhao, D., Liu, G., Xin, J., et al. (2020). Haze pollution under a high atmospheric oxidization capacity in summer in Beijing: Insights into formation mechanism of atmospheric physicochemical processes. Atmospheric Chemistry and Physics, 20(8), 4575–4592. https://doi.org/10.5194/acp-20-4575-2020
Zhao, L., Wang, L., Tan, J., et al. (2019). Changes of chemical composition and source apportionment of PM2.5 during 2013–2017 in urban Handan, China. Atmospheric Environment, 206, 119–131. https://doi.org/10.1016/j.atmosenv.2019.02.034
Acknowledgements
The authors are grateful to the anonymous reviewers for their insightful comments.
Funding
This work was supported by the National Natural Science Foundation of China (51638001, 52022005) and the Beijing Municipal Commission of Science and Technology (Z181100005418017).
Author information
Authors and Affiliations
Contributions
Shengju Ou: Investigation, Methodology; Formal analysis, Writing—original draft; Wei Wei: Conceptualization; Supervision; Funding acquisition, Writing—Reviewing and Editing; Bin Cai: Investigation & Visualization. Shiyin Yao: Investigation; Kai Wang: Investigation. Shuiyuan Cheng: Funding acquisition, Resources.
Corresponding author
Ethics declarations
Competing interest
All authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Highlights
• Co-pollution means daily maximum 8-h average O3 > 160 μg/m3 and daily mean PM2.5 > 35 μg/m3.
• Co-pollution prevailed in May–July, characterized by high level of oxidative products.
• Approximately 61.9% of co-pollution episodes were initiated by O3 pollution.
• High level of SO2 was the key for initiation of PM2.5 booming by O3.
• Rapid oxidation of NOx at night was the key for initiation of PM2.5 booming by O3.
Rights and permissions
About this article
Cite this article
Ou, S., Wei, W., Cai, B. et al. Exploring the causes for co-pollution of O3 and PM2.5 in summer over North China. Environ Monit Assess 194, 289 (2022). https://doi.org/10.1007/s10661-022-09951-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-022-09951-4