A severe fog-haze episode in Beijing-Tianjin-Hebei region: Characteristics, sources and impacts of boundary layer structure

The results show that BTH region is controlled by theuniform pressure field and southwest wind, and the average mass concentrations of PM2.5 in Beijing (BJ), Tianjin(TJ), and Shijiazhuang (SJZ) are 263.5, 192.7, and 296.1 μg/m3, respectively.

📌 3 Key Takeaways

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Objective & Hypothesis:Beijing–Tianjin–Hebei (BTH) region is recognized as one of the most polluted regions in China.

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Key Findings & Data:In this study,characteristics, synoptic condition, boundary layer structure, and sources of a severe fog–haze episode during theDecember of 2016 and January of 2017 are investigated.

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Conclusion & Impact:The results show that BTH region is controlled by theuniform pressure field and southwest wind, and the average mass concentrations of PM2.5 in Beijing (BJ), Tianjin(TJ), and Shijiazhuang (SJZ) are 263.5, 192.7, and 296.1 μg/m3, respectively.

🔬Design:Research Article

📍Scope:2016 Verileri

⚙️Variables:Domain Parameters

Abstract

Beijing–Tianjin–Hebei (BTH) region is recognized as one of the most polluted regions in China. In this study,characteristics, synoptic condition, boundary layer structure, and sources of a severe fog–haze episode during theDecember of 2016 and January of 2017 are investigated. The results show that BTH region is controlled by theuniform pressure field and southwest wind, and the average mass concentrations of PM2.5 in Beijing (BJ), Tianjin(TJ), and Shijiazhuang (SJZ) are 263.5, 192.7, and 296.1 μg/m3, respectively. Besides, the maximum hourlyconcentration and growth rate of PM2.5 are 578.8 μg/m3 and 13.1 μg/(m3·h), respectively for BJ. According tothe wind profiler radar and L–band radar data, the maximum concentration of PM2.5 in two stages basicallycoincides with the minimum ventilation index (VI) value, and the minimum VI value in stage I and stage II are5124 m2/s and 4524 m2/s. Moreover, the two stages are accompanied by significant inversion layer in the lowlevels. Although the maximum temperature inversion (10.8 °C) in stage I is higher that in stage II (8.3 °C) in theboundary layer, the maximum inversion strength in stage II (0.33 °C/hPa) is stronger than that in stage I(0.20 °C/hPa). Besides, weighted potential source contribution function (WPSCF) and conditional probabilityfunction analysis(CPF) are applied to investigate the potential source regions of PM2.5, the results show thatsouthern BJ, as well as central and southern Hebei province (HB) are the main potential sources, and CPF valuesfrom the wind direction (180°–270°) are all over 0.3.

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Cite This Article

WANG, G., ZHU, W., HUA, C., ZHANG, H., ZHANG, B., XU, R., LİU, C. (2022). A severe fog-haze episode in Beijing-Tianjin-Hebei region: Characteristics, sources and impacts of boundary layer structure. Atmospheric Pollution Research, Cilt: 10 - Sayı: 4, 1190–1202. https://ajindex.com/articles/456914

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References (9)

Adam, N.P., Clinton, P.M., Robert, C.G., Charley, A.K., Paul, T.R., 2011. Meteorological characteristics associated with PM2.5 air pollution in cleveland, Ohio, during the 2009–2010 cleveland multiple air pollutants study. Atmos. Environ. 45 (39), 7026–7035.
Bao, M.Y., Cao, F., Chang, Y.H., Zhang, Y.L., Gao, Y.Q., Liu, X.Y., Zhang, Y.Y., Zhang, W.Q., Tang, T.R., Xu, Z.F., Liu, S.D., Lee, X.H., Li, J., Zhang, G., 2017. Characteristics and origins of air pollutants and carbonaceous aerosols during wintertime haz episodes at a rural site in the Yangtze River Delta, China. Atmos. Pollut. Res. 8, 900–911.
Begum, B.A., Kim, E., Biswas, S.K., 2004. Investigation of sources of atmospheric aerosol at urban and semi-urban areas in Bangladesh. Atmos. Environ. 19, 3025–3038.
Bell, M.L., Cifuentes, L.A., Davis, D.L., Cushing, E., Telles, A.G., Gouveia, N., 2011. Environmental health indicators and a case study of air pollution in Latin American Cities. Environ. Res. 111, 57–66.
Chen, D.S., Liu, X.X., Lang, J.L., Zhou, Y., Wei, L., Wang, X.T., Guo, X.R., 2017. Estimating the contribution of regional transport to PM2.5 air pollution in a rural area on the North China Plain. Sci. Total Environ. 583, 280–291.
Cheng, M.M., Zhi, G.R., Tang, W., Liu, S.J., Dang, H.Y., Guo, Z., Du, J.H., Du, X.H., Zhang, W.Q., Zhang, Y.J., Meng, F., 2017. Air pollutant emission from the underestimated households' coal consumption source in China. Sci. Total Environ. 580, 641–650.
Cheng, M.D., Kabela, E.D., 2016. Effects of downscaled high-resolution meteorological data on the PSCF identification of emission sources. Atmos. Environ. 137, 146–154. China Meteorological Administration, 2010. Observation and forcasting levels of haze. In: The State Standard of the People's Republic of China QX/T 113-2010.
China Meteorological Press, Beijing (in Chinese). Deng, H., Tan, H.B., Li, F., Cai, M.F., Chan, P.W., Xu, H.B., Huang, X.Y., Wu, D., 2016. Impact of relative humidity on visibility degradation during a haze event: a case study. Sci. Total Environ. 569–570, 1149–1158.
Deng, Z.Z., Zhao, C.S., Ma, N., Liu, P.F., Ran, L., Xu, W.Y., Chen, J., Liang, Z., Liang, S., Huang, M.Y., Ma, X.C., Zhang, Q., Quan, J.N., Yan, P., Henning, S., Mildenberger, K., Sommerhage, E., Sch fer, M., Stratmann, F., Wiedensohler, A., 2011. Size-resolved and bulk activation properties of aerosols in the north China plain: the importance of aerosol size distribution in the prediction of CCN number concentration. Atmos. Chem. Phy