On the severe haze in Beijing during January 2013: Unraveling the effects of meteorological anomalies with WRF-Chem

Despite the stringent emission reduction measures implemented in Beijing over the past decade, a series of unprecedentedly severe haze events hit this megacity in January 2013. It is of great interest to find out the cause so as to provide a scientific basis for refining emission control measures. In the present study, we examine long-term (2000–2014) surface meteorological observations and simulate four recent winter haze episodes in 2010–2014 using a coupled meteorology-chemistry model (WRF-Chem). In addition to confirming the large-scale meteorological anomalies in northern China, the analysis of local meteorological parameters revealed that January 2013 had more frequent sustained weak southerly winds and high relative humidity in Beijing. Comparison of WRF-Chem simulations of the four episodes unambiguously shows that the combination of anomalously strong contribution of local and regional sources resulted into the extreme event in 2013: meteorological anomalies caused thicker temperature inversion, lower boundary layer, and hence stronger local accumulation of PM2.5 in urban Beijing (212 μg m−3 in 2013 case vs. 112–114 μg m−3 in historical cases); longer duration of southerly winds transported more pollutants to urban area (107 μg m−3 vs. 38–82 μg m−3) from eastern China. Our study also suggests that, although the emissions in Beijing have been decreased, they were still the major contributor (61–77%) to surface-layer PM2.5 over the urban area in recent winter episodes. Since adverse weather conditions such as those in January 2013 are uncontrollable, to alleviate severe haze pollution, Beijing must further strengthen its emission reduction measures and similar control should be extended to the entire eastern China.

[1]  Meigen Zhang,et al.  Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games , 2011 .

[2]  Jiming Hao,et al.  A Modeling Study of Coarse Particulate Matter Pollution in Beijing: Regional Source Contributions and Control Implications for the 2008 Summer Olympics , 2008, Journal of the Air & Waste Management Association.

[3]  François-Marie Bréon,et al.  How Do Aerosols Affect Cloudiness and Climate? , 2006, Science.

[4]  Y. Q. Wang,et al.  Atmospheric aerosol compositions in China: Spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols , 2011 .

[5]  M. Memmesheimer,et al.  Modal aerosol dynamics model for Europe: development and first applications , 1998 .

[6]  Wei Wang,et al.  A numerical study of contributions to air pollution in Beijing during CAREBeijing-2006 , 2011 .

[7]  Tongwen Wu,et al.  Effect of the strengthened western Pacific subtropical high on summer visibility decrease over eastern China since 1973 , 2013 .

[8]  Qiang Zhang,et al.  Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms , 2013 .

[9]  G. Grell,et al.  A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .

[10]  Binyu Wang,et al.  Air quality during the 2008 Beijing Olympic Games , 2007 .

[11]  X. Zhao,et al.  Analysis of a winter regional haze event and its formation mechanism in the North China Plain , 2013 .

[12]  Zifa Wang,et al.  Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control , 2013, Science China Earth Sciences.

[13]  Jianlei Lang,et al.  A Monitoring and Modeling Study to Investigate Regional Transport and Characteristics of PM2.5 Pollution , 2013 .

[14]  Michael Q. Wang,et al.  An inventory of gaseous and primary aerosol emissions in Asia in the year 2000 , 2003 .

[15]  David R. Stauffer,et al.  Multiscale four-dimensional data assimilation , 1994 .

[16]  Jiming Hao,et al.  Assessment of air quality benefits from national air pollution control policies in China. Part I: Background, emission scenarios and evaluation of meteorological predictions , 2010 .

[17]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[18]  I. J. Ackermann,et al.  Modeling the formation of secondary organic aerosol within a comprehensive air quality model system , 2001 .

[19]  Kai Yang,et al.  First observations of SO2 from the satellite Suomi NPP OMPS: Widespread air pollution events over China , 2013 .

[20]  Min Shao,et al.  City clusters in China: air and surface water pollution , 2006 .

[21]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[22]  G. Carmichael,et al.  Asian emissions in 2006 for the NASA INTEX-B mission , 2009 .

[23]  P. Palmer,et al.  Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) , 2006 .

[24]  K. He,et al.  On-road vehicle emission control in Beijing: past, present, and future. , 2011, Environmental science & technology.

[25]  J. Xin,et al.  Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China , 2014 .

[26]  Zifa Wang,et al.  Assessing the effects of trans-boundary aerosol transport between various city clusters on regional haze episodes in spring over East China , 2013 .

[27]  Yihui Ding,et al.  Analysis of long-term variations of fog and haze in China in recent 50 years and their relations with atmospheric humidity , 2013, Science China Earth Sciences.

[28]  Yanfen Lin,et al.  Extreme haze pollution in Beijing during January 2013: chemical characteristics, formation mechanism and role of fog processing , 2014 .

[29]  Yuan Cheng,et al.  Exploring the severe winter haze in Beijing , 2014 .

[30]  J. Lamarque,et al.  Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) , 2009 .

[31]  G. Ren,et al.  Representativeness of four precipitation observational networks of China , 2012, Acta Meteorologica Sinica.

[32]  Qifan Liu,et al.  Characterization of submicron aerosols during a month of serious pollution in Beijing, 2013 , 2014 .

[33]  C. Chan,et al.  Air pollution in mega cities in China , 2008 .

[34]  Zifa Wang,et al.  The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China , 2013 .

[35]  Steven J. Ghan,et al.  Coupling aerosol-cloud-radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources , 2008 .

[36]  Spyros N. Pandis,et al.  Optimizing model performance: variable size resolution in cloud chemistry modeling , 2001 .

[37]  Yang Zhang,et al.  Simulating chemistry–aerosol–cloud–radiation–climate feedbacks over the continental U.S. using the online-coupled Weather Research Forecasting Model with chemistry (WRF/Chem) , 2010 .

[38]  Chang-Hoi Ho,et al.  Parameterizations for Cloud Overlapping and Shortwave Single-Scattering Properties for Use in General Circulation and Cloud Ensemble Models , 1998 .

[39]  J. Dudhia,et al.  A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes , 2006 .

[40]  G. Grell,et al.  WRF-Chem simulation of East Asian air quality: Sensitivity to temporal and vertical emissions distributions , 2010 .

[41]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[42]  G. Peters,et al.  The socioeconomic drivers of China’s primary PM2.5 emissions , 2014 .

[43]  P. Quinn,et al.  North American, Asian, and Indian haze: Similar regional impacts on climate? , 2003 .

[44]  Kebin He,et al.  Heterogeneous chemistry: a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China , 2014 .

[45]  G. Grell,et al.  Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model , 2006 .

[46]  W. Stockwell,et al.  The second generation regional acid deposition model chemical mechanism for regional air quality modeling , 1990 .

[47]  Zhengqiang Li,et al.  Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter , 2013 .

[48]  Ting Yang,et al.  Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013 , 2014 .

[49]  Qiang Zhang,et al.  The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications , 2013 .

[50]  Shu-hui Cheng,et al.  Application of MM5 in China: Model evaluation, seasonal variations, and sensitivity to horizontal grid resolutions , 2011 .

[51]  Bert Brunekreef,et al.  Concentration response functions for ultrafine particles and all-cause mortality and hospital admissions: results of a European expert panel elicitation. , 2009, Environmental science & technology.

[52]  Qiang Li,et al.  Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013 , 2013, Science China Earth Sciences.

[53]  David G. Streets,et al.  Primary anthropogenic aerosol emission trends for China, 1990–2005 , 2011 .

[54]  Xiujuan Zhao,et al.  Understanding haze pollution over the southern Hebei area of China using the CMAQ model , 2012 .

[55]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .