EGU2020-6424, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-6424
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

China’s emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002

Meng Gao1, Kaili Lin2,3, Shiqing Zhang2,3, and Ken kin lam Yung2,3
Meng Gao et al.
  • 1Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China
  • 2Department of Biology, Hong Kong Baptist University,Hong Kong SAR, China
  • 3Golden Meditech Center for NeuroRegeneration Sciences (GMCNS), Hong Kong Baptist University, Hong Kong SAR, China

Severe wintertime PM2.5 pollution in Beijing has been receiving increasing worldwide attention, yet the decadal variations remain relatively unexplored. Combining field measurements and model simulations, we quantified the relative influences of anthropogenic emissions and meteorological conditions on PM2.5 concentrations in Beijing overwinters of 2002-2016. Between the winters of 2011 and 2016, stringent emission control measures resulted in a 21% decrease in mean mass concentrations of PM2.5 in Beijing, with 7 fewer haze days per winter on average. Given the overestimation of PM2.5 by model, the effectiveness of stringent emission control measures might have been slightly overstated. With fixed emissions, meteorological conditions over the study period would have led to an increase of haze in Beijing, but the strict emission control measures have suppressed the unfavorable influences of recent climate. The unfavorable meteorological conditions are attributed to the weakening of the East Asia Winter Monsoon associated particularly with an increase in pressure associated with the Aleutian low.

How to cite: Gao, M., Lin, K., Zhang, S., and Yung, K. K. L.: China’s emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6424, https://doi.org/10.5194/egusphere-egu2020-6424, 2020

This abstract will not be presented.