Abstract
We compared the regional synoptic patterns and local meteorological conditions during persistent and non-persistent pollution events in Beijing using US NCEP–Department of Energy reanalysis outputs and observations from meteorological stations. The analysis focused on the impacts of high-frequency (period < 90 days) variations in meteorological conditions on persistent pollution events (those lasting for at least 3 days). Persistent pollution events tended to occur in association with slow-moving weather systems producing stagnant weather conditions, whereas rapidly moving weather systems caused a dramatic change in the local weather conditions so that the pollution event was short-lived. Although Beijing was under the influence of anomalous southerly winds in all four seasons during pollution events, notable differences were identified in the regional patterns of sea-level pressure and local anomalies in relative humidity among persistent pollution events in different seasons. A region of lower pressure was present to the north of Beijing in spring, fall, and winter, whereas regions of lower and higher pressures were observed northwest and southeast of Beijing, respectively, in summer. The relative humidity near Beijing was higher in fall and winter, but lower in spring and summer. These differences may explain the seasonal dependence of the relationship between air pollution and the local meteorological variables. Our analysis showed that the temperature inversion in the lower troposphere played an important part in the occurrence of air pollution under stagnant weather conditions. Some results from this study are based on a limited number of events and thus require validation using more data.
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Beaver, S., A. Palazoglu, A. Singh, et al., 2010: Identification of weather patterns impacting 24-h average fine particulate matter pollution. Atmos. Environ., 44, 1761–1771, doi: 10.1016/j.atmosenv.2010.02.001.
Berico, M., A. Luciani, and M. Formignani, 1997: Atmospheric aerosol in an urban area—measurements of TSP and PM10 standards and pulmonary deposition assessments. Atmos. Environ., 31, 3659–3665, doi: 10.1016/S1352-2310(97)00204-5.
Buchanan, C. M., I. J. Beverland, and M. R. Heal, 2002: The influence of weather-type and long-range transport on airborne particle concentrations in Edinburgh, UK. Atmos. Environ., 36, 5343–5354, doi: 10.1016/S1352-2310(02)00579-4.
Chen, H. P., and H. J. Wang, 2015: Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012. J. Geophys. Res. Atmos., 120, 5895–5909, doi: 10.1002/2015JD023225.
Chen, Z. H., S. Y. Cheng, J. B. Li, et al., 2008: Relationship between atmospheric pollution processes and synoptic pressure patterns in northern China. Atmos. Environ., 42, 6078–6087, doi: 10.1016/j.atmosenv.2008.03.043.
Cheng, Y., K. F. Ho, S. C. Lee, et al., 2006: Seasonal and diurnal variations of PM1.0, PM2.5 and PM10 in the roadside environment of Hong Kong. China Particuology, 4, 312–315, doi: 10.1016/S1672-2515(07)60281-4.
Choi, Y. S., C. H. Ho, D. L. Chen, et al., 2008: Spectral analysis of weekly variation in PM10 mass concentration and meteorological conditions over China. Atmos. Environ., 42, 655–666, doi: 10.1016/j.atmosenv.2007.09.075.
Dawson, J. P., P. J. Adams, and S. N. Pandis, 2007: Sensitivity of PM2.5 to climate in the eastern US: A modeling case study. Atmos. Chem. Phys., 7, 4295–4309, doi: 10.5194/acp-7-4295-2007.
Fu, G. Q., W. Y. Xu, R. F. Yang, et al., 2014: The distribution and trends of fog and haze in the North China Plain over the past 30 years. Atmos. Chem. Phys., 14, 11949–11958, doi: 10.5194/acp-14-11949-2014.
Fung, W. Y., and R. Wu, 2014: Relationship between intraseasonal variations of air pollution and meteorological variables in Hong Kong. Annals of GIS, 20, 217–226, doi: 10.1080/19475683.2014.945480.
He, S. S., B. T. Zhao, and Z. Y. Yu, 2014: Development and comparison of national ambient air quality standards in China. Environ. Monitor. China, 30, 50–55, doi: 10.3969/j.issn.1002-6002.2014.04.009.(in Chinese)
Hu, X. M., Y. Zhang, M. Z. Jacobson, et al., 2008: Coupling and evaluating gas/particle mass transfer treatments for aerosol simulation and forecast. J. Geophys. Res. Atmos., 113, D11208, doi: 10.1029/2007JD009588.
Jacob, D. J., and D. A. Winner, 2009: Effect of climate change on air quality. Atmos. Environ., 43, 51–63, doi: 10.1016/j.atmosenv.2008.09.051.
Ji, D. S., Y. S. Wang, L. L. Wang, et al., 2012: Analysis of heavy pollution episodes in selected cities of northern China. Atmos. Environ., 50, 338–348, doi: 10.1016/j.atmosenv.2011.11.053.
Kanamitsu, M., W. Ebisuzaki, J. Woollen, et al., 2002: NCEP–DOE AMIP-II reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631–1643, doi: 10.1175/BAMS-83-11-1631.
Kaur, S., M. J. Nieuwenhuijsen, and R. N. Colvile, 2007: Fine particulate matter and carbon monoxide exposure concentrations in urban street transport microenvironments. Atmos. Environ., 41, 4781–4810, doi: 10.1016/j.atmosenv.2007.02.002.
Liu, X. G., J. Li, Y. Qu, et al., 2013: Formation and evolution mechanism of regional haze: A case study in the megacity Beijing, China. Atmos. Chem. Phys., 13, 4501–4514, doi: 10.5194/acp-13-4501-2013.
Lyu, B. L., B. Zhang, and Y. Q. Bai, 2016: A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012. Atmos. Environ., 124, 98–108, doi: 10.1016/j.atmosenv.2015.09.031.
Molina, L. T., S. Madronich, J. S. Gaffney, et al., 2010: An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation. Atmos. Chem. Phys., 10, 8697–8760, doi: 10.5194/acp-10-8697-2010.
Pope III, C. A., M. Ezzati, and D. W. Dockery, 2009: Fine-particulate air pollution and life expectancy in the United States. N. Engl. J. Med., 360, 376–386, doi: 10.1056/NEJMsa0805646.
Pu, W. W., X. J. Zhao, X. F. Shi, et al., 2015: Impact of long-range transport on aerosol properties at a regional background station in northern China. Atmos. Res., 153, 489–499, doi: 10.1016/j.atmosres.2014.10.010.
Sun, Y. L., G. S. Zhuang, Y. Wang, et al., 2004: The air-borne particulate pollution in Beijing—concentration, composition, distribution and sources. Atmos. Environ., 38, 5991–6004, doi: 10.1016/j.atmosenv.2004.07.009.
Tian, G. J., Z. Qiao, and X. L. Xu, 2014: Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing. Environ. Pollut., 192, 266–274, doi: 10.1016/j.envpol.2014.04.036.
Twomey, S., 1974: Pollution and the planetary albedo. Atoms. Environ., 8, 1251–1256, doi: 10.1016/0004-6981(74)90004-3.
Wang, F., D. S. Chen, S. Y. Cheng, et al., 2010: Identification of regional atmospheric PM10 transport pathways using HYSPLIT, MM5-CMAQ and synoptic pressure pattern analysis. Environ. Modell. Softw., 25, 927–934, doi: 10.1016/j.envsoft.2010.02.004.
Wang, X. K., and W. Z. Lu, 2006: Seasonal variation of air pollution index: Hong Kong case study. Chemosphere, 63, 1261–1272, doi: 10.1016/j.chemosphere.2005.10.031.
Wilson, A. M., J. C. Salloway, C. P. Wake, et al., 2004: Air pollution and the demand for hospital services: A review. Environ. Int., 30, 1109–1118, doi: 10.1016/j.envint.2004.01.004.
Ye, X. X., Y. Song, X. H. Cai, et al., 2016: Study on the synoptic flow patterns and boundary layer process of the severe haze events over the North China Plain in January 2013. Atmos. Environ., 124, 129–145, doi: 10.1016/j.atmosenv.2015.06.011.
You, T., R. Wu, G. Huang, et al., 2017: Regional meteorological patterns for heavy pollution events in Beijing. J. Meteor. Res., 31, 597–611, doi: 10.1007/s13351-017-6143-1.
Zhang, H. L., Y. G. Wang, J. L. Hu, et al., 2015: Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environ. Res., 140, 242–254, doi: 10.1016/j.envres.2015.04.004.
Zhang, L., T. Wang, M. Y. Lyu, et al., 2015: On the severe haze in Beijing during January 2013: Unraveling the effects of meteorological anomalies with WRF-Chem. Atmos. Environ., 104, 11–21, doi: 10.1016/j.atmosenv.2015.01.001.
Zhang, R. H., Q. Li, and R. N. Zhang, 2013: Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013. Sci. China Earth Sci., 57, 26–35, doi: 10.1007/s11430-013-4774-3.
Zhang, X.-Y., J.-Y. Sun, Y.-Q. Wang, et al., 2013: Factors contributing to haze and fog in China. Chinese Sci. Bull., 58, 1178–1187, doi: 10.1360/972013-150. (in Chinese)
Zhang, Y., A. J. Ding, H. T. Mao, et al., 2016: Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the North China Plain during 1980–2013. Atmos. Environ., 124, 119–128, doi: 10.1016/j.atmosenv.2015.05.063.
Zhao, S. P., Y. Yu, D. Y. Yin, et al., 2016: Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center. Environ. Int., 86, 92–106, doi: 10.1016/j.envint.2015.11.003.
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We appreciate the comments of the two anonymous reviewers. The NCEP–DOE reanalysis 2 data were obtained from ftp://ftp.cdc.noaa.gov/.
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Supported by the National Natural Science Foundation of China (41475081, 41530425, 41425019, and 41661144016) and State Oceanic Administration Public Science and Technology Research Funds Projects of Ocean (201505013).
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You, T., Wu, R. & Huang, G. Differences in Meteorological Conditions between Days with Persistent and Non-Persistent Pollution in Beijing, China. J Meteorol Res 32, 81–98 (2018). https://doi.org/10.1007/s13351-018-7086-x
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DOI: https://doi.org/10.1007/s13351-018-7086-x