Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics

Xing, Jia; Zhang, Yang; Liu, Xiaohuan; Cheng, Sainan; Zhang, Qiang; Chen, Yaosheng; Streets, David G.; Jang, Carey; Hao, Jiming; Wang, Wenxing

doi:10.1016/j.atmosenv.2011.01.025

Cited by 82 publications

(65 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the China Environmental Condition Report by the Ministry of Environmental Protection of The People's Republic of China (MEPPRC), seven of the top ten polluted cities in China in the first 6 months of 2013 -Xingtai, Shijiazhuang, Handan, Baoding, Tangshan, Hengshui and Langfang -are located in this region. However, haze pollution and air quality studies in this region, especially modeling and simulation studies, are rare (Wang et al, 2008;Xing et al, 2011) and inadequate compared to the Yangtze River delta and Pearl River delta regions (Westerdahl, et al, 2009;Zhang et al, 2009Zhang et al, , 2011Zhang et al, , 2013Quan et al, 2014;Wang et al, 2014a).…”

Section: H Wang Et Al: Study Of the Interactions Between Aerosols Amentioning

confidence: 99%

Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

et al. 2015

View full text Add to dashboard Cite

Abstract. The urbanized region ofJing(Beijing)-Jin(Tianjin)-Ji (alias of Hebei province) and its nearby surrounding region (3JNS) is becoming China's most polluted area by haze, exceeding even the Yangtze and Pearl river deltas. Aside from pollutant emission, the meteorology of the planetary boundary layer (PBL) is the most important factor affecting haze pollution. Focusing on July 2008, the aerosol optical properties and PBL meteorology features closely related to haze formation were simulated in the 3JNS region using an online atmospheric chemical transport model. The relationship between regional PBL meteorology, PM 2.5 , and haze is discussed. Model results accurately simulated the aerosol optical depth (AOD), single scattering albedo (SSA) and asymmetry parameter (ASY), validated by comparison with observations from the MODerate Resolution Imaging Spectroradiometer (MODIS), the China Aerosol Remote Sensing NETwork (CARSNET) and the Aerosol Robotic NETwork (AERONET). Modeled PBL wind speeds showed reasonable agreement with those from the National Centers for Environmental Prediction (NCEP) Reanalysis 2. A monthly mean AOD value as high as 1.2 was found from both model and observations, with a daily mean larger than 2.0 during haze episodes in the 3JNS region. Modeled and observed SSA values of 0.90-0.96 and ASY values of 0.72-0.74 demonstrated the high scattering characteristic of summer aerosols in this region. PBL wind speeds from modeled and NCEP data both showed a reversing trend of PM 2.5 variation, illustrating the importance of the "PBL window shadow" in haze formation. Turbulence diffusion and PBL height had opposite phases to surface PM 2.5 , indicating that lower PBL height and weaker PBL turbulence diffusion are essential to haze formation. It is noted that homogeneous air pressure does not occur at the surface, but at an 850-950 hPa height during the haze episode. The momentum transmitting downward of the cold air from above the PBL to the low PBL and surface lead to an increase in surface wind speeds and haze dispersal.

show abstract

Section: H Wang Et Al: Study Of the Interactions Between Aerosols Amentioning

confidence: 99%

Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Compared to 2008, reductions of 43%, 13%, and 12% for NO 2 , SO 2 , and CO were reported over Beijing and neighboring provinces by satellite measurement (Witte et al, 2009), and SO 2 and CO were reduced by 64% and 27% at Heishanzhai (HSZ) and 60% and 32% at Miyun according to the field observations (Wang et al, 2009b). The secondary ions in PM 2.5 (SO 4 2− , NO 3 − , and NH 4 + ) had varied responses to the control measures and were influenced by both emissions and meteorological variations (Wang et al, 2009c;Huang et al, 2010;Okuda et al, 2011;Xing et al, 2011). However, the relative contributions of the emission reductions and meteorological factors to the air quality improvement during the Olympics remain inconclusive.…”

Section: Introductionmentioning

confidence: 99%

Highly Time-Resolved Measurements of Secondary Ions in PM2.5 during the 2008 Beijing Olympics: The Impacts of Control Measures and Regional Transport

Gao

Nie

Xue

et al. 2013

Aerosol Air Qual. Res.

Self Cite

View full text Add to dashboard Cite

ABSTRACT, NO 3 − , and NH 4 + were observed at both sites, and were related to meteorological conditions, primary emissions, and regional transport. The effectiveness of the control measures on SO 4 2− , NO 3 − , and NH 4 + was evaluated by comparing the urban site concentrations during three periods: before the full-scale control, after the full-scale control but before the Olympics, and during the Olympics. The high pollution observed after the full-scale control was attributed to regional transport from the sector south of Beijing. The samples in the air masses from the northwest were selected to minimize the influences of meteorological factors and regional transport, and the results showed a clear reduction of SO 4 2− , NO 3 − , and NH 4 + concentrations (approximately 35%-69%) after the full-scale control began, suggesting the effectiveness of the control measures in reducing the local secondary inorganic aerosols. A widespread pollution episode was observed during August 3-10 at the rural site, with regional transport being identified as the main contributor. Secondary transformation evidently occurred during August 3-4 and contributed more than 50% of the rural secondary ion concentrations. During August 5-10, the whole region experienced a stable and well-developed plume.

show abstract

“…It incorporates a set of up-to-date compatible modules and control equations for the atmosphere and can fully consider complicated physical and chemical processes (Byun and Schere, 2006;Foley et al, 2010). Many applications have proven that CMAQ is a reliable tool for simulating air quality from city scale to mesoscale (Xing et al, 2011;Dong et al, 2013;Liu et al, 2013;Xu et al, 2013;Shu et al, 2016). The Community Multiscale Air Quality (CMAQ v4.7.1, Binkowski and Roselle, 2003) model includes the 2005 Carbon Bond gas-phase mechanism (CB05) (Yarwood et al, 2005) and the fourth-generation CMAQ Figure 1.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Emissions have been controlled during many social events, for example in the Beijing Olympic Games in 2008 and Shanghai Expo in 2010. Xing et al (2011) suggested that the control of emissions is beneficial for pollutant reduction, but meteorological effects can go either way at different locations. Cermak and Knutti (2009), W. T. , Wang et al (2010) and Xing et al (2011) reported that typical meteorological conditions accounted more for air improvement during the 2008 Beijing Olympics than emission reductions.…”

Section: Introductionmentioning

confidence: 99%

“…Xing et al (2011) suggested that the control of emissions is beneficial for pollutant reduction, but meteorological effects can go either way at different locations. Cermak and Knutti (2009), W. T. , Wang et al (2010) and Xing et al (2011) reported that typical meteorological conditions accounted more for air improvement during the 2008 Beijing Olympics than emission reductions. Zhou et al (2010) concluded that control measures for transportation resulted in reductions of 44.5 and 49.0 % in daily CO and NO x emission from motor vehicles during the 2008 Olympics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of emission reduction and meteorological conditions on air quality improvement during the 2014 Youth Olympic Games in Nanjing, China

et al. 2017

View full text Add to dashboard Cite

Abstract. As the holding city of the 2nd Youth Olympic Games (YOG), Nanjing is highly industrialized and urbanized, and faces several air pollution issues. In order to ensure better air quality during the event, the local government took great efforts to control the emissions from pollutant sources. However, air quality can still be affected by synoptic weather, not only emission. In this paper, the influences of meteorological factors and emission reductions were investigated using observational data and numerical simulations with WRF-CMAQ (Weather Research and Forecasting -Community Multiscale Air Quality). During the month in which the YOG were held (August 2014), the observed hourly mean concentrations of SO 2 , NO 2 , PM 10 , PM 2.5 , CO and O 3 were 11.6 µg m −3 , 34.0 µg m −3 , 57.8 µg m −3 , 39.4 µg m −3 , 0.9 mg m −3 and 38.8 µg m −3 , respectively, which were below China National Ambient Air Quality Standard (level 2). However, model simulation showed that the weather conditions, such as weaker winds during the YOG, were adverse for better air quality and could increase SO 2 , NO 2 , PM 10 , PM 2.5 and CO by 17.5, 16.9, 18.5, 18.8, 7.8 and 0.8 %. Taking account of local emission abatement only, the simulated SO 2 , NO 2 , PM 10 , PM 2.5 and CO decreased by 24.6, 12.1, 15.1, 8.1 and 7.2 %. Consequently, stringent emission control measures can reduce the concentrations of air pollutants in the short term, and emission reduction is very important for air quality improvement during the YOG. A good example has been set for air quality protection for important social events.

show abstract

Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics

Cited by 82 publications

References 32 publications

Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

Highly Time-Resolved Measurements of Secondary Ions in PM2.5 during the 2008 Beijing Olympics: The Impacts of Control Measures and Regional Transport

Impacts of emission reduction and meteorological conditions on air quality improvement during the 2014 Youth Olympic Games in Nanjing, China

Contact Info

Product

Resources

About