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Impact of Synoptic Weather Types on Ground-Level Ozone Concentrations in Guangzhou, China

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Abstract

Although precursor concentrations were reduced by emission control in Guangzhou, southern China from 2006 to 2016, ground-level O3 concentrations increased, forming potential risks to human health. This study explored the impacts of large-scale synoptic weather circulations on O3 concentration in Guangzhou, in a particular focus on high O3 pollution episodes. Twelve local weather types were clustered based on Lamb-Jenkinson weather types (LWTs). Analyses showed that LWTs strongly impacted daily O3 concentrations: A, AS, CN, and N+ weather types were likely associated with high ozone concentrations, while the ozone levels were relatively low under C, CE, CS, and S+ types. LWTs could explain 30–40% of the inter-annual variability of O3 concentration during the dry season. Numerical model simulations further demonstrated that continuous type A weather was the leading LWT correlated with high O3 concentrations, while type C weather was the predominant type correlated with low O3 concentrations. CMIP5 model results showed that occurrences of weather type A would increase by about 25% in the high emission scenario over the 2020–2069 period, which might worsen the O3 pollution in Guangzhou in the future. The increase in frequency weather type A would not be significant under the low emission scenario during the same period. Therefore, we should strictly implement the global emission reduction plan to prevent the change of weather circulation caused by climate change from aggravating ozone pollution in the future. The strong link between O3 concentrations and LWT frequencies makes the daily occurrence of LWTs a useful predictor for episodes of high O3 pollution and makes annual frequencies of LWTs good indicators of the inter-annual variability of the O3 concentration. These results are useful in efforts to predict O3 concentrations, providing a reliable weather forecast is available.

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References

  • Byun, D. W., and J. K. S. ChingScience algorithms of the EPA Models-3 community multiscale air quality (CMAQ) modeling system. EPA/600/R-99/030, U.S. EPA1999

  • Byun, D.W., Schere, K.L.: Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. Appl. Mech. Rev. 59(2), 51–77 (2006)

    Article  Google Scholar 

  • Chan, C.K., Yao, X.: Air pollution in mega cities in China. Atmos. Environ. 42(1), 1–42 (2008)

    Article  Google Scholar 

  • Chen, D.: A monthly circulation climatology for Sweden and its application to a winter temperature case study. Int. J. Climatol. 20, 1067–1076 (2000)

    Article  Google Scholar 

  • Chen, H., Wang, H.: Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012. J. Geophys. Res. Atmos. 120(12), 5895–5909 (2015)

    Article  Google Scholar 

  • Demuzere, M., Van Lipzig, N.P.M.: A new method to estimate air-quality levels using a synoptic-regression approach. Part I: present-day O3 and PM10 analysis. Atmos. Environ. 44, 1341–1355 (2010)

    Article  Google Scholar 

  • Emmons, L.K., Walters, S., Hess, P.G., et al.: Description and evaluation of the model for O3 and related chemical tracers, version 4 (MOZART-4). Geosci. Model Dev. 3, 43–67 (2010)

    Article  Google Scholar 

  • Grumm, R.H., Hart, R.: Standardized anomalies applied to significant cold season weather events: preliminary findings. Weather Forecast. 16, 736–754 (2001)

    Article  Google Scholar 

  • Grundstr€om, M., Tang, L., Hallquist, M., Nguyen, H., Chen, D., Pleijel, H.: Influence of atmospheric circulation patterns on urban air quality during the winter. Atmos. Pollut. Res. 6, 278–285 (2015)

    Article  Google Scholar 

  • Guenther, A., Karl, T., Harley, P., et al.: Estimates of global terrestrial isoprene emissions using MEGAN (model of emissions of gases and aerosols from nature). Atmos. Chem. Phys. 6(11), 3181–3210 (2006)

    Article  Google Scholar 

  • Henderson-Sellers, A., Zhang, H., Berz, G., et al.: Tropical cyclones and global climate change: a post-IPCC assessment. Bull. Am. Meteorol. Soc. 79(1), 19–38 (1998)

    Article  Google Scholar 

  • Horton, D.E., Johnson, N.C., Singh, D., Swain, D.L., Rajaratnam, B., Diffenbaugh, N.S.: Contribution of changes in atmospheric circulation patterns to extreme temperature trends. Nature. 522(7557), 465–469 (2015)

    Article  Google Scholar 

  • Jenkinson, A.F., Collison, B.P.: An initial climatology of gales of the North Sea. Synop. Climatol. Branch Memo. 62, (1977)

  • Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R., Jenne, R., Joseph, D.: The NCEP/NCAR 40-year reanalysis project. Bull. Am. Meteorol. Soc. 77, 437–471 (1996)

    Article  Google Scholar 

  • Ebi, K.L., McGregor, G.: Climate change, tropospheric O3 and particulate matter, and health impacts. Environ. Health Perspect. 116(11), 1449–1455 (2008)

    Article  Google Scholar 

  • Lamb, H.H.: Types and spells of weather around the year in the British Isles. Q. J. R. Meteorol. Soc. 76, 393–438 (1950)

    Article  Google Scholar 

  • Li, J.F., Lu, K.D., Lv, W., Li, J., Zhong, L.J., Ou, Y.B., Cheng, D.H., Huang, X., Zhang, Y.H.: Fast increasing of surface O3 concentrations in Pearl River Delta characterized by a regional air quality monitoring network during 2006-2011. J. Environ. Sci. 26, 23–26 (2014)

    Article  Google Scholar 

  • Liao, H., Chen, W.T., Seinfeld, J.H.: Role of climate change in global predictions of future tropospheric O3 and aerosols. J. Geophys. Res. Atmos. 111, D12304 (2006)

    Article  Google Scholar 

  • Ling, Z.H., Zhao, J., Fan, S.J., Wang, X.M.: Sources of formaldehyde and their contributions to photochemical O3 formation at an urban site in the Pearl River Delta, southern China. Chemosphere. 168, 1293–1301 (2017)

  • Loo, Y.Y., Billa, L., Singh, A.: Effect of climate change on seasonal monsoon in Asia and its impact on the variability of monsoon rainfall in Southeast Asia. Geosci. Front. S167498711400036X (2014)

  • MEPChinese Ambient Air Quality Standards 484 (GB3095–2012). Ministry of Environmental Protection of China, Beijing 2012a

  • MEP: Technical Guide of Air Quality Model Selection (Trial), Beijing, China, 2012b

  • Mott, J.A., Mannino, D.M., Alverson, C.J., Kiyu, A., Hashim, J., Lee, T., Falter, K., Redd, S.C.: Cardiorespiratory hospitalizations associated with smoke exposure during the 1997 southeast Asian forest fires. Int. J. Hyg. Environ. Health. 208, 75–85 (2005)

    Article  Google Scholar 

  • Murazaki, K., Hess, P.: How does climate change contribute to surface O3 change over the United States? J. Geophys. Res. 111, D05301 (2006). https://doi.org/10.1029/2005JD005873

    Article  Google Scholar 

  • Pleijel, H., Grundström, M., Karlsson, G.P., et al.: A method to assess the inter-annual weather-dependent variability in air pollution concentration and deposition based on weather typing. Atmos. Environ. 126, 200–210 (2016)

    Article  Google Scholar 

  • Racherla, P.N., Adams, P.J.: Sensitivity of global tropospheric O3 and fine particulate matter concentrations to climate change. J. Geophys. Res. Atmos. 111, D24103 (2006)

    Article  Google Scholar 

  • Shaheen, R.T., Nancy, J.B., Robert, A.H., Ling, J.: A process-analysis based study of the O3 weekend effect. Atmos. Environ. 42, 7728–7736 (2008)

    Article  Google Scholar 

  • Situ, S.P., Guenther, A., Wang, X.M., Jiang, X., Turnipseed, A., Wu, Z.Y., Bai, J.H., Wang, X.: Impacts of seasonal and regional variability in biogenic VOC emissions on surface O3 in the Pearl River Delta region, China. Atmos. Chem. Phys. 13, 11803–11817 (2013)

    Article  Google Scholar 

  • Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. PowersA description of the advanced research WRF version 3, NCAR tech. Note NCAR/TN-475+STR, Natl. Cent. Atmos. Res., Boulder2008

  • Taylor, K.E., Stouffer, R.J., Meehl, G.A.: An overview of CMIP5, and the experiment design. Note NCAR/TN-475+STR, vol. 93, pp. 485–498 (2012)

    Google Scholar 

  • Tang, L., Chen, D., Karlsson, P.E., Yongfeng, G.: Synoptic circulation and its influence on spring and summer surface O3 concentrations in southern Sweden. Boreal Environ. Res. 14, 889–902 (2009)

    Google Scholar 

  • U.S. EPA Review of the National Ambient air Quality Standards for O3: policy assessment of scientific and technical information. OAOPS staff paper. Research Triangle Park, NC: U. S. Environmental Protection Agency, EPA-452/R-07-0072007

  • Vukovich, F.M.: Time scales of surface ozone variations in the regional, non-urban environment[J]. Atmos. Environ. 31(10), 1513–1530 (1997)

    Article  Google Scholar 

  • Wang, N., Lyu, X.P., Deng, X.J., Guo, H., Deng, T., Li, Y., Yin, C.Q., Li, F., Wang, S.Q.: Assessment of regional air quality resulting from emission control in the Pearl River Delta region, southern China. Sci. Total Environ. 573, 1554–1565 (2016)

    Article  Google Scholar 

  • Wang, T., Wei, X.L., Ding, A.J., Poon, C.N., Lam, K.S., Li, Y.S., Chan, L.Y., Anson, M.: Increasing surface O3 concentrations in the background atmosphere of southern China, 1994-2007. Atmos. Chem. Phys. 9, 6217–6227 (2009)

    Article  Google Scholar 

  • Wang, T.J., Jiang, F., Deng, J.J., Shen, Y., Fu, Q.Y., Wang, Q., Fu, Y., Xu, J.H., Zhang, D.N.: Urban air quality and regional haze weather forecast for Yangtze River Delta region. Atmos. Environ. 58(70–83), 2012 (2012)

    Google Scholar 

  • Wang, X., Lu, W., Wang, W., Leung, A.: A study of O3 variation trend with in area of affecting human health in Hong Kong. Chemosphere. 52, 1405–1410 (2003)

    Article  Google Scholar 

  • Ye, L., Wang, X., Fan, S., et al.: Photochemical indicators of ozone sensitivity: application inthe Pearl River Delta, China. Front. Env. Sci. Eng. 10(6), 15 (2016)

  • Zhao, P.S., Zhang, X.L., Xu, X.F., Zhao, X.J.: Long-term visibility trends and characteristics in the region of bejing, Tianjin, and Hebei, China, atmos. Res. 101, 711–718 (2011)

  • Zheng, J.Y., Zhang, L.J., Che, W.W., et al.: A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment. Atmos. Environ. 43(32), 5112–5122 (2009)

  • Zheng, J.Y., Zhong, L.J., Wang, T., Louie, P.K.K., Li, Z.C.: Ground-level O3 in the Pearl River Delta region: analysis of data from a recently established regional air quality monitoring network. Atmos. Environ. 44, 814–823 (2010)

  • Zhong, L.J., Louie, P.K.K., Zheng, J.Y., Yuan, Z.B., Yue, D.L., Ho, J.W.K., Lau, A.K.H.: Science-policy interplay: air quality management in the Pearl River Delta region and Hong Kong. Atmos. Environ. 76, 3–10 (2013)

  • Zhou, W., Chan, J.C.L., Chen, W., et al.: Synoptic-scale controls of persistent low temperature and icy weather over southern China in January 2008. Mon. Weather Rev. (2009)

  • Zhu, L., Lü, X., Wang, J., et al.: Climate change on the Tibetan plateau in response to shifting atmospheric circulation since the LGM. Sci. Rep. 5(1), 13318 (2015)

  • Zou, Y., Charlesworth, E., Yin, C.Q., Yan, X.L., Deng, X.J., Li, F.: 2019. The weekday/weekend O3 differences induced by the emissions change during summer and autumn in Guangzhou. China Atmos. Environ. 199, 114–126 (2019)

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (41425020) and (91644222), National Key Research and Development Plan (2017YFC0210105, 2016YFC0202205), and big data analysis method and model project of the Key Lab of Science and Technology in Finance, Guangdong University of Finance(1090-KC2020002). We also acknowledge the technical support and computational time from ‘Tianhe-2’ platform at the National Supercomputer center in Guangzhou.

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Authors and Affiliations

  1. Guangdong University of Finance, Guangzhou, 510521, People’s Republic of China

    Wenhui Liao

  2. School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, 510275, People’s Republic of China

    Luolin Wu & Shengzhen Zhou

  3. Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511486, People’s Republic of China

    Xuemei Wang

  4. Department of Earth Sciences, University of Gothenburg, 40530, Gothenburg, Sweden

    Deliang Chen

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  1. Wenhui Liao
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  2. Luolin Wu
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Correspondence to Shengzhen Zhou, Xuemei Wang or Deliang Chen.

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Liao, W., Wu, L., Zhou, S. et al. Impact of Synoptic Weather Types on Ground-Level Ozone Concentrations in Guangzhou, China. Asia-Pacific J Atmos Sci 57, 169–180 (2021). https://doi.org/10.1007/s13143-020-00186-2

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