2011
DOI: 10.5194/acpd-11-16655-2011
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Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games

Abstract: A series of emission control measures were undertaken in Beijing and the adjacent provinces in China during the 2008 Beijing Olympic Games on 8–24 August 2008. This provides a unique opportunity for investigating the effectiveness of emission controls on air pollution in Beijing. We conducted a series of numerical experiments over East Asia for the period of July to September 2008 using a coupled meteorology-chemistry model (WRF-Chem). Model can generally reproduce the observed variation of aerosol concentrat… Show more

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Cited by 29 publications
(37 citation statements)
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References 50 publications
(33 reference statements)
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“…I am worried about the conclusion about the aerosol impact found in your study. WRF-Chem can simulate much better results than what you presented (e.g., Gao et al 2011). In addition, 2008 is a year of Beijing Olympic Game.…”
Section: Major Commentsmentioning
confidence: 79%
See 1 more Smart Citation
“…I am worried about the conclusion about the aerosol impact found in your study. WRF-Chem can simulate much better results than what you presented (e.g., Gao et al 2011). In addition, 2008 is a year of Beijing Olympic Game.…”
Section: Major Commentsmentioning
confidence: 79%
“…However, some studies (i.e. Gao et al, 2011) found that the local emission control does not affect the regional scale emissions much as the control was more local scale. Also, our study domain and focused regions are away from Beijing.…”
Section: Major Commentsmentioning
confidence: 99%
“…And there are large heavy industrial regions to the south of Beijing. As a result, high PM 2.5 concentrations in Beijing always correspond to the southerly wind, while low PM 2.5 concentrations in Beijing usually correspond to the northerly wind because of the specific terrain and the distribution of polluted industries (Gao et al, ). Therefore, the accurate simulation of wind direction is also very important in the emission data assimilation within this region.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…However, other studies argued that the improvement was mostly due to changes in weather conditions (in particular, wind speed and direction) [ Simonich , ; Wang et al ., ]. Moreover, some studies suggested that both emission reduction and favorable meteorology contributed to the improvement in air quality [ Wang et al ., ; Gao et al ., ; Xing et al ., ].…”
Section: Introductionmentioning
confidence: 99%
“…Because of their interacting effects on air quality, it has been difficult to clearly separate the effects of wind and emissions directly from the observed data. To overcome this difficulty, various studies have used numerical models to help distinguish the effects of emissions and meteorological change [ Gilliland et al ., ; Jacob and Winner , ; Wang et al ., ; Gao et al ., ; Xing et al ., ]. For example, using the Community Multi‐scale Air Quality model (CMAQ), Xing et al .…”
Section: Introductionmentioning
confidence: 99%