Articles | Volume 21, issue 19
Atmos. Chem. Phys., 21, 14959–14981, 2021
https://doi.org/10.5194/acp-21-14959-2021
Atmos. Chem. Phys., 21, 14959–14981, 2021
https://doi.org/10.5194/acp-21-14959-2021
Research article
08 Oct 2021
Research article | 08 Oct 2021

Response of particle number concentrations to the clean air action plan: lessons from the first long-term aerosol measurements in a typical urban valley in western China

Suping Zhao et al.

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Cited articles

Andreae, M. O. and Rosenfeld, D.: Aerosol-cloud-precipitation interactions, Part 1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev., 89, 13–41, https://doi.org/10.1016/j.earscirev.2008.03.001, 2008. 
Birmili, W. and Wiedensohler, A.: New particle formation in the continental boundary layer: Meteorological and gas phase parameter influence, Geophys. Res. Lett., 27, 3325–3328, 2000. 
Birmili, W., Wiedensohler, A., Heintzenberg, J., and Lehmann, K.: Atmospheric particle number size distribution in central Europe: Statistical relations to air mass and meteorology, J. Geophys. Res., 32, 5–18, 2001. 
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We found a large PM2.5 reduction in response to Clean Air Action (CAA), but impacts of CAA on particle number concentrations (PNCs) may be different from PM2.5 mass due to newly formed particle impacts. The k-means clustering technique and Theil–Sen regression were used to analyze PNCs variations and to quantify their trends. Increased daytime solar radiation, higher temperature and lower RH at noon induced by reduced PM2.5 mass promoted formation of new particles and increased particle numbers.
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