On the source contribution to Beijing PM2.5 concentrations

Beijing is a city with some of the world's worst particulate air pollution. Although there have been various control strategies implemented since 1998, there are still episodes of PM2.5 concentrations of hundreds of micrograms per cubic meter. In this study, samples were collected over a year in Beijing, chemically characterized, and the resulting data analyzed for source apportionment. The new error analysis capabilities built into EPA PMF V5.0 have been employed to better evaluate the profiles and assign them to source types. Secondary sulfate, local coal combustion and secondary nitrate were the major contributors to the PM2.5 mass. However, in this study, traffic was found to be more important as a PM compared to prior studies. It was actually the largest PM2.5 source in autumn and winter although local coal combustion is also a large source of PM in the winter months. These results demonstrate the value of using the displacement method to assess the variability in source profiles to improve our interpretation of PMF results. They also suggest more attention needs to be paid to traffic emissions in Beijing.

[1]  Xiaobin Xu,et al.  Gaseous pollutants in Beijing urban area during the heating period 2007–2008: variability, sources, meteorological, and chemical impacts , 2011 .

[2]  Jie Cao,et al.  Ambient Temperature and Mortality: An International Study in 13 Cities of East Asia , 2010, The Science of the total environment.

[3]  Philip K Hopke,et al.  Review of receptor modeling methods for source apportionment , 2016, Journal of the Air & Waste Management Association.

[4]  Christopher A. Laroo,et al.  Brake Wear Particulate Matter Emissions , 2000 .

[5]  A. D'Alessandro,et al.  Characterization of particulate matter sources in an urban environment. , 2008, The Science of the total environment.

[6]  Yu Song,et al.  Source apportionment of PM2.5 in Beijing by positive matrix factorization , 2006 .

[7]  M. Ouyang,et al.  Comparison of policies on vehicle ownership and use between Beijing and Shanghai and their impacts on fuel consumption by passenger vehicles , 2011 .

[8]  Junji Cao,et al.  Chemical Composition and Light Extinction Contribution of PM_(2.5) in Urban Beijing for a 1-Year Period , 2015 .

[9]  R. Crookes,et al.  ENERGY DEMAND AND EMISSIONS FROM ROAD TRANSPORTATION VEHICLES IN CHINA , 2010 .

[10]  Shaodong Xie,et al.  Atmospheric Chemistry and Physics Discussions Interactive comment on “ Spatiotemporal variations of ambient PM 10 source contributions in Beijing in 2004 using positive matrix factorization ” , 2022 .

[11]  R. Pittman,et al.  Electricity Restructuring in China: The Elusive Quest for Competition , 2008 .

[12]  P. Paatero,et al.  Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .

[13]  Roy M Harrison,et al.  Sources and properties of non-exhaust particulate matter from road traffic: a review. , 2008, The Science of the total environment.

[14]  Willy Z. Sadeh,et al.  A residence time probability analysis of sulfur concentrations at grand Canyon national park , 1985 .

[15]  Tami C. Bond,et al.  Emissions from residential combustion considering end-uses and spatial constraints: Part II, emission reduction scenarios , 2015 .

[16]  Katsumi Yoshida,et al.  S12 AMBIENT AIR QUALITY STANDARDS , 1988 .

[17]  C. Lewis,et al.  Source Apportionment of Phoenix PM2.5 Aerosol with the Unmix Receptor Model , 2003, Journal of the Air & Waste Management Association.

[18]  Ying Wang,et al.  Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing. , 2006, Environmental science & technology.

[19]  D. Amarsaikhan,et al.  A Study on Air Pollution in Ulaanbaatar City, Mongolia , 2014 .

[20]  Tong Yu,et al.  Identification and estimate of biomass burning contribution to the urban aerosol organic carbon concentrations in Beijing , 2004 .

[21]  Philip K. Hopke,et al.  Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe , 2013 .

[22]  Ji-ti Zhou,et al.  Regional characteristics of sulfur and lead isotope ratios in the atmosphere at several Chinese urban sites. , 2001, Environmental science & technology.

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

[24]  Judith C. Chow,et al.  Similarities and differences in PM10 chemical source profiles for geological dust from the San Joaquin Valley, California , 2003 .

[25]  Eero Antikainen,et al.  Particle Emissions from a Small Two-Stroke Engine: Effects of Fuel, Lubricating Oil, and Exhaust Aftertreatment on Particle Characteristics , 2005 .

[26]  James J. Schauer,et al.  Source apportionment of airborne particulate matter using organic compounds as tracers , 1996 .

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

[28]  Linhua Wang,et al.  Submicron aerosols during the Beijing Asia–Pacific Economic Cooperation conference in 2014 , 2016 .

[29]  Yuqi Bai,et al.  A systematic analysis of PM 2.5 in Beijing and its sources from 2000 to 2012 , 2016 .

[30]  P. Hopke,et al.  Source regions for atmospheric aerosol measured at Barrow, Alaska. , 2001, Environmental science & technology.

[31]  Hui Yuan,et al.  Long-term monitoring and source apportionment of PM2.5/PM10 in Beijing, China. , 2008, Journal of environmental sciences.

[32]  P. Paatero,et al.  Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong , 1999 .

[33]  Mark Lawrence,et al.  Evaluation of emissions and air quality in megacities , 2008 .

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

[35]  Stefan Norra,et al.  Efficiency of mitigation measures to reduce particulate air pollution--a case study during the Olympic Summer Games 2008 in Beijing, China. , 2012, The Science of the total environment.

[36]  D. Shagjjamba,et al.  Air particulate matter pollution in Ulaanbaatar, Mongolia: determination of composition, source contributions and source locations , 2011 .

[37]  Gary A. Norris,et al.  Methods for estimating uncertainty in factor analytic solutions , 2013 .

[38]  Y. Kim,et al.  Estimation of the seasonal variation of particulate nitrate and sensitivity to the emission changes in the greater Seoul area , 2006 .

[39]  Who Europe Air Quality Guidelines Global Update 2005: Particulate Matter, ozone, nitrogen dioxide and sulfur dioxide , 2006 .

[40]  Philip K. Hopke,et al.  Discarding or downweighting high-noise variables in factor analytic models , 2003 .

[41]  P. Zhao,et al.  Long-term visibility trends and characteristics in the region of Beijing, Tianjin, and Hebei, China , 2011 .

[42]  Lianne Sheppard,et al.  Source identification of PM2.5 in an arid Northwest U.S. City by positive matrix factorization , 2003 .

[43]  Renjian Zhang,et al.  Chemical characterization and source apportionment of PM 2 . 5 in Beijing : seasonal perspective , 2013 .

[44]  Xingang Liu,et al.  Composition and sources of PM2.5 around the heating periods of 2013 and 2014 in Beijing: Implications for efficient mitigation measures , 2016 .

[45]  J. Schauer,et al.  Seasonal trends in PM2.5 source contributions in Beijing, China , 2005 .

[46]  H. Kan,et al.  Impact of haze and air pollution-related hazards on hospital admissions in Guangzhou, China , 2014, Environmental Science and Pollution Research.

[47]  A. Piazzalunga,et al.  High secondary aerosol contribution to particulate pollution during haze events in China , 2014, Nature.

[48]  Judith C. Chow,et al.  The IMPROVE_A Temperature Protocol for Thermal/Optical Carbon Analysis: Maintaining Consistency with a Long-Term Database , 2007, Journal of the Air & Waste Management Association.

[49]  Renjian Zhang,et al.  Characterization and Source Apportionment of PM2.5 in an Urban Environment in Beijing , 2013 .

[50]  Peter Wåhlin,et al.  Characterisation of traffic-generated particulate matter in Copenhagen , 2006 .

[51]  Philip K. Hopke,et al.  Sources of fine particle composition in the northeastern US , 2001 .

[52]  J. Hao,et al.  Seasonal and spatial variation of trace elements in multi-size airborne particulate matters of Beijing, China: Mass concentration, enrichment characteristics, source apportionment, chemical speciation and bioavailability , 2014 .

[53]  P. Paatero,et al.  Atmospheric aerosol over Alaska: 2. Elemental composition and sources , 1998 .

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

[55]  M. Greenstone,et al.  Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy , 2013, Proceedings of the National Academy of Sciences.

[56]  Philip K. Hopke,et al.  The concentrations and sources of PM2.5 in metropolitan New York City , 2006 .