Size-resolved global emission inventory of primary particulate matter from energy-related combustion sources

Abstract Current emission inventories provide information about the mass emissions of different chemical species from different emitting sources without information concerning the size distribution of primary particulate matter (PM). The size distribution information, however, is an important input into chemical transport models that determine the fate of PM and its impacts on climate and public health. At present, models usually make rather rudimentary assumptions about the size distribution of primary PM emissions in their model inputs. In this study, we develop a global and regional, size-resolved, mass emission inventory of primary PM emissions from source-specific combustion components of the residential, industrial, power, and transportation sectors for the year 2010. Uncertainties in the emission profiles are also provided. The global size-resolved PM emissions show a distribution with a single peak and the majority of the mass of particles in size ranges smaller than 1 μm. The PM size distributions for different sectors and world regions vary considerably, due to the different combustion characteristics. Typically, the sizes of particles decrease in the order: power sector > industrial sector > residential sector > transportation sector. Three emission scenarios are applied to the baseline distributions to study the likely changes in size distribution of emissions as clean technologies are implemented.

[1]  Jiming Hao,et al.  Emission Characteristics of Particulate Matter from Rural Household Biofuel Combustion in China , 2007 .

[2]  M. Chin,et al.  Anthropogenic and natural contributions to regional trends in aerosol optical depth, 1980–2006 , 2009 .

[3]  D. Brus,et al.  Relationships between particles, cloud condensation nuclei and cloud droplet activation during the third Pallas Cloud Experiment , 2012 .

[4]  P. Forster,et al.  Global cloud condensation nuclei influenced by carbonaceous combustion aerosol , 2011 .

[5]  Tami C. Bond,et al.  Global emission projections of particulate matter (PM): I. Exhaust emissions from on-road vehicles , 2011 .

[6]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[7]  D. Streets,et al.  Global emission projections for the transportation sector using dynamic technology modeling , 2013 .

[8]  Tami C. Bond,et al.  On the future of carbonaceous aerosol emissions , 2004 .

[9]  Maria Cristina Facchini,et al.  The effect of physical and chemical aerosol properties on warm cloud droplet activation , 2005 .

[10]  G. Feingold Modeling of the first indirect effect: Analysis of measurement requirements , 2003 .

[11]  P. Adams,et al.  Uncertainty in global CCN concentrations from uncertain aerosol nucleation and primary emission rates , 2008 .

[12]  K. He,et al.  Major components of China’s anthropogenic primary particulate emissions , 2007 .

[13]  Jiming Hao,et al.  Quantifying the uncertainties of a bottom-up emission inventory of anthropogenic atmospheric pollutants in China , 2010 .

[14]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[15]  Tami C. Bond,et al.  Historical emissions of black and organic carbon aerosol from energy‐related combustion, 1850–2000 , 2007 .

[16]  P. Adams,et al.  Contribution of primary carbonaceous aerosol to cloud condensation nuclei: processes and uncertainties evaluated with a global aerosol microphysics model , 2007 .

[17]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1997 .

[18]  D. Streets,et al.  A technology‐based global inventory of black and organic carbon emissions from combustion , 2004 .

[19]  O. Boucher,et al.  Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review , 2000 .

[20]  Thomas D. Durbin,et al.  Final report for measurement of primary particulate matter emissions from light-duty motor vehicles , 1998 .

[21]  C. Liousse,et al.  Construction of a 1° × 1° fossil fuel emission data set for carbonaceous aerosol and implementation and radiative impact in the ECHAM4 model , 1999 .

[22]  S. Friedlander,et al.  Smoke, Dust and Haze: Fundamentals of Aerosol Behavior , 1977 .

[23]  Kebin He,et al.  An inventory of primary air pollutants and CO2 emissions from cement production in China, 1990–2020 , 2011 .

[24]  Tami C. Bond,et al.  Global emission projections of particulate matter (PM): II. Uncertainty analyses of on-road vehicle exhaust emissions , 2014 .

[25]  David G. Streets,et al.  Two‐decadal aerosol trends as a likely explanation of the global dimming/brightening transition , 2006 .

[26]  V. Ramaswamy,et al.  A general circulation model study of the global carbonaceous aerosol distribution , 2002 .

[27]  Heather Simon,et al.  Emissions inventory of PM2.5 trace elements across the United States. , 2009, Environmental science & technology.

[28]  K. Carslaw,et al.  The mass and number size distributions of black carbon aerosol over Europe , 2013 .

[29]  S. Bauer,et al.  A global modeling study on carbonaceous aerosol microphysical characteristics and radiative effects , 2010 .

[30]  Qiang Zhang,et al.  Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996-2010 , 2011 .

[31]  Constantinos Sioutas,et al.  Potential Role of Ultrafine Particles in Associations between Airborne Particle Mass and Cardiovascular Health , 2005, Environmental health perspectives.

[32]  C. Nielsen,et al.  Establishment of a database of emission factors for atmospheric pollutants from Chinese coal-fired power plants , 2010 .