Articles | Volume 18, issue 10
Atmos. Chem. Phys., 18, 7573–7593, 2018
https://doi.org/10.5194/acp-18-7573-2018

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 18, 7573–7593, 2018
https://doi.org/10.5194/acp-18-7573-2018

Research article 31 May 2018

Research article | 31 May 2018

Climatological study of the Boundary-layer air Stagnation Index for China and its relationship with air pollution

Qianqian Huang et al.

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Cited articles

Ao, C. O., Waliser, D. E., Chan, S. K., Li, J.-L., Tian, B., Xie, F., and Mannucci, A. J.: Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles, J. Geophys. Res.-Atmos., 117, D16117, https://doi.org/10.1029/2012jd017598, 2012. 
Beyrich, F.: Mixing height estimation from sodar data – A critical discussion, Atmos. Environ., 31, 3941–3953, https://doi.org/10.1016/s1352-2310(97)00231-8, 1997. 
Bianco, L. and Wilczak, J. M.: Convective boundary layer depth: Improved measurement by Doppler radar wind profiler using fuzzy logic methods, J. Atmos. Ocean. Tech., 19, 1745–1758, 2002. 
Blanchard, D. O.: Assessing the vertical distribution of convective available potential energy, Weather Forecast., 13, 870–877, https://doi.org/10.1175/1520-0434(1998)013<0870:atvdoc>2.0.co;2, 1998. 
Bressi, M., Sciare, J., Ghersi, V., Bonnaire, N., Nicolas, J. B., Petit, J. E., Moukhtar, S., Rosso, A., Mihalopoulos, N., and Feron, A.: A one-year comprehensive chemical characterisation of fine aerosol (PM2.5) at urban, suburban and rural background sites in the region of Paris (France), Atmos. Chem. Phys., 13, 7825–7844, https://doi.org/10.5194/acp-13-7825-2013, 2013. 
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Air stagnation index is a vital meteorological measure of the atmosphere's ability to dilute air pollutants. We propose a Boundary-layer air Stagnation Index (BSI) based on daily maximal ventilation, real latent instability and precipitation. The BSI is positively correlated with API during 2000–2012, tracks the day-by-day variation of PM2.5 concentration during January 2013 in Beijing well, and successfully represents the improved air quality during November and December in 2017.
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