Articles | Volume 22, issue 7
https://doi.org/10.5194/acp-22-4853-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-4853-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Apr 2022
Research article |
| 12 Apr 2022
| 12 Apr 2022
Insights into the significant increase in ozone during COVID-19 in a typical urban city of China
Kun Zhang
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Key Laboratory of Organic Compound Pollution Control Engineering,
Shanghai University, Shanghai, 200444, China
Zhiqiang Liu
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Changzhou Institute of Environmental Science, Changzhou, Jiangsu,
213022, China
Xiaojuan Zhang
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Changzhou Institute of Environmental Science, Changzhou, Jiangsu,
213022, China
Qing Li
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Key Laboratory of Organic Compound Pollution Control Engineering,
Shanghai University, Shanghai, 200444, China
Andrew Jensen
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, Colorado 80309, USA
Department of Chemistry, University of Colorado Boulder, Boulder, Colorado
80309, USA
Wen Tan
Tofwerk AG, Thun, Switzerland
Ling Huang
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Key Laboratory of Organic Compound Pollution Control Engineering,
Shanghai University, Shanghai, 200444, China
Yangjun Wang
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Key Laboratory of Organic Compound Pollution Control Engineering,
Shanghai University, Shanghai, 200444, China
Joost de Gouw
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, Colorado 80309, USA
Department of Chemistry, University of Colorado Boulder, Boulder, Colorado
80309, USA
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai, 200444, China
Key Laboratory of Organic Compound Pollution Control Engineering,
Shanghai University, Shanghai, 200444, China
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Revised manuscript not accepted
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The number concentration of droplets in clouds in the summertime in the southeastern United States is influenced by aerosol variations but limited by the strong competition for supersaturated water vapor. Concurrent variations in vertical velocity magnify the response of cloud droplet number to aerosol increases by up to a factor of 5. Omitting the covariance of vertical velocity with aerosol number may therefore bias estimates of the cloud albedo effect from aerosols.
Rui Li, Qiongqiong Wang, Xiao He, Shuhui Zhu, Kun Zhang, Yusen Duan, Qingyan Fu, Liping Qiao, Yangjun Wang, Ling Huang, Li Li, and Jian Zhen Yu
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Cited articles
Alhathloul, S. H., Khan, A. A., and Mishra, A. K.: Trend analysis and
change point detection of annual and seasonal horizontal visibility trends
in Saudi Arabia, Theor. Appl. Climatol., 144, 127–146,
https://doi.org/10.1007/s00704-021-03533-z, 2021.
Atkinson, R. and Arey, J.: Atmospheric degradation of volatile organic
compounds, Chem. Rev., 103, 4605–4638, https://doi.org/10.1021/cr0206420,
2003.
Jensen, A., Liu, Z. Q., Tan, W., Dix, B., Chen, T. S., Koss, A., Zhu, L., Li,
Li., and Gouw, J.: Measurements of volatile organic compounds during the
COVID-19 Lockdown in Changzhou, China, Geophys. Res. Lett., 48, 20,
https://doi.org/10.1029/2021GL095560, 2021.
Carter, W.: Updated maximum incremental reactivity scale and hydrocarbon bin
reactivities for regulatory applications, California Air Resources Board
Contract, 339, 2009.
Cheng, Z., Zhang, J., Zhou, J., Sun, J., Zhou, W., Chen, C., Zheng, J., and
Wang, T.: Air pollutant emission inventory and distribution characteristics
in Changzhou, The Administration and Technique of Environmental
Monitoring, 28, 24–28, 2016 (in Chinese).
Fan, L., Fu, S., Wang, X., Fu, Q., Jia, H., Xu, H., Qin, G., Hu, X., and
Cheng, J.: Spatiotemporal variations of ambient air pollutants and
meteorological influences over typical urban agglomerations in China during
the COVID-19 lockdown, J. Environ. Sci. (China), 106, 26–38,
https://doi.org/10.1016/j.jes.2021.01.006, 2021.
Fu, X., Wang, S., Zhao, B., Xing, J., Cheng, Z., Liu, H., and Hao, J.:
Emission inventory of primary pollutants and chemical speciation in 2010 for
the Yangtze River Delta region, China, Atmos. Environ., 70, 39–50,
https://doi.org/10.1016/j.atmosenv.2012.12.034, 2013.
Gao, C., Li, S., Liu, M., Zhang, F., Achal, V., Tu, Y., Zhang, S., and Cai,
C.: Impact of the COVID-19 pandemic on air pollution in Chinese megacities
from the perspective of traffic volume and meteorological factors, Sci.
Total Environ., 773, 145545, https://doi.org/10.1016/j.scitotenv.2021.145545, 2021.
Geyer, A., Alicke, B., Konrad, S., Schmitz, T., Stutz, J., and Platt, U.:
Chemistry and oxidation capacity of the nitrate radical in the continental
boundary layer near Berlin, J. Geophys. Res.-Atmos., 106, 8013–8025,
https://doi.org/10.1029/2000JD900681, 2001.
Grange, S. and Carslaw, D.: Using meteorological normalisation to detect interventions in air quality time series, Sci. Total Environ., 653, 578–588, https://doi.org/10.1016/j.scitotenv.2018.10.344, 2019.
Huang, L., Liu, Z., Li, H., Wang, Y., Li, Y., Zhu, Y., Ooi, M. C. G., An,
J., Shang, Y., Zhang, D., Chan, A., and Li, L.: The silver lining of
COVID-19: Estimation of short-term health impacts due to Lockdown in the
Yangtze River Delta region, China, GeoHealth, 4, e2020GH000272,
https://doi.org/10.1029/2020GH000272, 2020.
Inomata, S., Tanimoto, H., Kameyama, S., Tsunogai, U., Irie, H., Kanaya, Y., and Wang, Z.: Technical Note: Determination of formaldehyde mixing ratios in air with PTR-MS: laboratory experiments and field measurements, Atmos. Chem. Phys., 8, 273–284, https://doi.org/10.5194/acp-8-273-2008, 2008.
Li, L., An, J., Huang, L., Yan, R., Huang, C., and Yarwood, G.: Ozone source
apportionment over the Yangtze River Delta region, China: Investigation of
regional transport, sectoral contributions and seasonal differences, Atmos.
Environ., 202, 269–280, https://doi.org/10.1016/j.atmosenv.2019.01.028,
2019.
Li, L., Li, Q., Huang, L., Wang, Q., Zhu, A., Xu, J., Liu, Z., Li, H., Shi,
L., Li, R., Azari, M., Wang, Y., Zhang, X., Liu, Z., Zhu, Y., Zhang, K.,
Xue, S., Ooi, M. C. G., Zhang, D., and Chan, A.: Air quality changes during
the COVID-19 lockdown over the Yangtze River Delta Region: An insight into
the impact of human activity pattern changes on air pollution variation,
Sci. Total Environ., 732, 139282,
https://doi.org/10.1016/j.scitotenv.2020.139282, 2020.
Li, R., Zhao, Y., Fu, H., Chen, J., Peng, M., and Wang, C.: Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences, Atmos. Chem. Phys., 21, 8677–8692, https://doi.org/10.5194/acp-21-8677-2021, 2021.
Liu, Z., Wang, Y., Gu, D., Zhao, C., Huey, L. G., Stickel, R., Liao, J., Shao, M., Zhu, T., Zeng, L., Amoroso, A., Costabile, F., Chang, C.-C., and Liu, S.-C.: Summertime photochemistry during CAREBeijing-2007: ROx budgets and O3 formation, Atmos. Chem. Phys., 12, 7737–7752, https://doi.org/10.5194/acp-12-7737-2012, 2012.
Maji, S., Beig, G., and Yadav, R.: Winter VOCs and OVOCs measured with
PTR-MS at an urban site of India: Role of emissions, meteorology and
photochemical sources, Environ. Pollut., 258, 113651,
https://doi.org/10.1016/j.envpol.2019.113651, 2020.
Pathakoti, M., Santhoshi, T., Aarathi, M., Mahalakshmi, D. V., Kanchana, A. L., Srinivasulu, J., Shekhar, R. S. S., Soni, V. K., Sai, S. M. V. R., and Raja, P. T:
Assessment of spatio-temporal climatological trends of ozone over the Indian
region using machine learning, Spat. Stat., 43, 100513,
https://doi.org/10.1016/j.spasta.2021.100513, 2021.
Sen, P. K.: Estimates of the regression coefficient based on Kendall's tau, J. Am. Stat. Assoc., 63, 1379–1389, 1968.
Shen, L., Zhao, T., Wang, H., Liu, J., Bai, Y., Kong, S., Zheng, H., Zhu,
Y., and Shu, Z.: Importance of meteorology in air pollution events during
the city lockdown for COVID-19 in Hubei Province, Central China, Sci. Total
Environ., 754, 142227, https://doi.org/10.1016/j.scitotenv.2020.142227,
2021.
Shi, X., Ge, Y., Zheng, J., Ma, Y., Ren, X., and Zhang, Y.: Budget of
nitrous acid and its impacts on atmospheric oxidative capacity at an urban
site in the central Yangtze River Delta region of China, Atmos. Environ.,
238, 117725, https://doi.org/10.1016/j.atmosenv.2020.117725, 2020.
Sun, K., Zhou, J., Ding, H., Chen, X., Liu, Z., and Xue, P.: Anthropogenic
source VOCs emission inventory of Changzhou city, Environmental
Monitoring and Forewarning, 11, 57–62, 2019 (in Chinese).
Tan, Z., Lu, K., Jiang, M., Su, R., Wang, H., Lou, S., Fu, Q., Zhai, C., Tan, Q., Yue, D., Chen, D., Wang, Z., Xie, S., Zeng, L., and Zhang, Y.: Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation, Atmos. Chem. Phys., 19, 3493–3513, https://doi.org/10.5194/acp-19-3493-2019, 2019.
Valach, A. C., Langford, B., Nemitz, E., MacKenzie, A. R., and Hewitt, C. N.: Seasonal and diurnal trends in concentrations and fluxes of volatile organic compounds in central London, Atmos. Chem. Phys., 15, 7777–7796, https://doi.org/10.5194/acp-15-7777-2015, 2015.
Venter, Z. S., Aunan, K., Chowdhury, S., and Lelieveld, J.: COVID-19 lockdowns
cause global air pollution declines, P. Natl. Acad. Sci. USA, 117,
18984–18990, https://doi.org/10.1073/pnas.2006853117, 2020.
Warneke, C., Veres, P., Holloway, J. S., Stutz, J., Tsai, C., Alvarez, S., Rappenglueck, B., Fehsenfeld, F. C., Graus, M., Gilman, J. B., and de Gouw, J. A.: Airborne formaldehyde measurements using PTR-MS: calibration, humidity dependence, inter-comparison and initial results, Atmos. Meas. Tech., 4, 2345–2358, https://doi.org/10.5194/amt-4-2345-2011, 2011.
Wolfe, G. M., Marvin, M. R., Roberts, S. J., Travis, K. R., and Liao, J.: The Framework for 0-D Atmospheric Modeling (F0AM) v3.1, Geosci. Model Dev., 9, 3309–3319, https://doi.org/10.5194/gmd-9-3309-2016, 2016 (code available at: https://github.com/AirChem/F0AM, last access: 7 March 2022).
Xu, L., Zhang, J., Sun, X., Xu, S., Shan, M., Yuan, Q., Liu, L., Du, Z.,
Liu, D., Xu, D., Song, C., Liu, B., Lu, G., Shi, Z., and Li, W.: Variation
in concentration and sources of black carbon in a megacity of China during
the COVID-19 pandemic, Geophys. Res. Lett., 47, e2020GL090444,
https://doi.org/10.1029/2020GL090444, 2020.
Zhang, D., Cong, Z., and Ni, G.: Comparison of three Mann-Kendall methods
based on the China's meteorological data, Advances in Water
Science, 24, 490–496, 2013 (in Chinese).
Zhang, K., Li, L., Huang, L., Wang, Y., Huo, J., Duan, Y., Wang, Y., and Fu,
Q.: The impact of volatile organic compounds on ozone formation in the
suburban area of Shanghai, Atmos. Environ., 232, 117511,
https://doi.org/10.1016/j.atmosenv.2020.117511, 2020a.
Zhang, K., Xu, J., Huang, Q., Zhou, L., Fu, Q., Duan, Y., and Xiu, G.:
Precursors and potential sources of ground-level ozone in suburban Shanghai,
Front. Env. Sci. Eng., 14, 96, https://doi.org/10.1007/s11783-020-1271-8,
2020b.
Zhang, K., Huang, L., Li, Q., Huo, J., Duan, Y., Wang, Y., Yaluk, E., Wang, Y., Fu, Q., and Li, L.: Explicit modeling of isoprene chemical processing in polluted air masses in suburban areas of the Yangtze River Delta region: radical cycling and formation of ozone and formaldehyde, Atmos. Chem. Phys., 21, 5905–5917, https://doi.org/10.5194/acp-21-5905-2021, 2021.
Zhang, P., Chen, T., Liu, J., Chu, B., Ma, Q., Ma, J., and He, H.: Impacts
of mixed gaseous and particulate pollutants on secondary particle formation
during ozonolysis of butyl vinyl ether, Environ. Sci. Technol., 54,
3909–3919, https://doi.org/10/gpd9p2, 2020.
Zheng, H., Kong, S., Chen, N., Yan, Y., Liu, D., Zhu, B., Xu, K., Cao, W.,
Ding, Q., Lan, B., Zhang, Z., Zheng, M., Fan, Z., Cheng, Y., Zheng, S., Yao,
L., Bai, Y., Zhao, T., and Qi, S.: Significant changes in the chemical
compositions and sources of PM2.5 Wuhan since the city lockdown as
COVID-19, Sci. Total Environ., 739, 140000,
https://doi.org/10.1016/j.scitotenv.2020.140000, 2020.
Zhu, J., Wang, S., Wang, H., Jing, S., Lou, S., Saiz-Lopez, A., and Zhou, B.: Observationally constrained modeling of atmospheric oxidation capacity and photochemical reactivity in Shanghai, China, Atmos. Chem. Phys., 20, 1217–1232, https://doi.org/10.5194/acp-20-1217-2020, 2020.
Short summary
A significant increase in O3 concentrations was found during the lockdown period of COVID-19 in most areas of China. By field measurements coupled with machine learning, an observation-based model (OBM) and sensitivity analysis, we found the changes in the NOx / VOC ratio were a key reason for the significant rise in O3. To restrain O3 pollution, more efforts should be devoted to the control of anthropogenic OVOCs, alkenes and aromatics.
A significant increase in O3 concentrations was found during the lockdown period of COVID-19 in...
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