Temporal variability in emission category influence on organic matter aerosols in the Indian region

The dependence of carbonaceous aerosol properties, like radiation absorption and hygroscopicity, on the emission source of origin motivate this work. The influence of emission categories, including crop residue and forest burning, biofuel combustion, brick kilns, thermal power plants, diesel transport and “other industry”, is estimated on organic matter (OM) surface concentrations in the Indian ocean region. The approach uses general circulation model predicted OM surface concentrations during a ship cruise, identifies probable source regions for high concentration episodes using the potential source contribution function, and estimates collocated OM emissions resolved by category. Distinct source regions identified, are the Indo‐Gangetic Plain during 20–30th January, 1999, and central/south India during 1–11th March, 1999. Contributing emission categories are primarily biofuel combustion (18 Gg) during 20–30th January, but a combination of forest burning (8 Gg), biofuel combustion (7 Gg) and crop residue (5 Gg) during 1–11th March. The magnitude of emission flux rather than spatial extent of an emission category, was seen to increase its influence on the receptor. This approach can be used to investigate seasonal and inter‐annual variability in emission category influence on atmospheric pollutants.

[1]  Chandra Venkataraman,et al.  Chemical, microphysical and optical properties of primary particles from the combustion of biomass fuels. , 2008, Environmental science & technology.

[2]  M. Sarin,et al.  Carbonaceous aerosols in MABL of Bay of Bengal: Influence of continental outflow , 2008 .

[3]  C. Venkataraman,et al.  Positive matrix factorization and trajectory modelling for source identification: A new look at Indian Ocean Experiment ship observations , 2008 .

[4]  O. Boucher,et al.  Source evaluation of aerosols measured during the Indian Ocean Experiment using combined chemical transport and back trajectory modeling , 2007 .

[5]  S. Ramachandran,et al.  Black carbon aerosol mass concentrations over Ahmedabad, an urban location in western India: Comparison with urban sites in Asia, Europe, Canada, and the United States , 2007 .

[6]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[7]  O. Edenhofer,et al.  Mitigation from a cross-sectoral perspective , 2007 .

[8]  T. Bond,et al.  Limitations in the enhancement of visible light absorption due to mixing state , 2006 .

[9]  Tami C. Bond,et al.  Climate-relevant properties of primary particulate emissions from oil and natural gas combustion , 2006 .

[10]  O. Boucher,et al.  Emissions from open biomass burning in India: Integrating the inventory approach with high‐resolution Moderate Resolution Imaging Spectroradiometer (MODIS) active‐fire and land cover data , 2006 .

[11]  B. Schichtel,et al.  Directional Biases in Back Trajectories Caused by Model and Input Data , 2005, Journal of the Air & Waste Management Association.

[12]  G Habib,et al.  Residential Biofuels in South Asia: Carbonaceous Aerosol Emissions and Climate Impacts , 2005, Science.

[13]  Sonia M. Kreidenweis,et al.  Hygroscopic growth behavior of a carbon-dominated aerosol in Yosemite National Park , 2005 .

[14]  O. Boucher,et al.  General circulation model estimates of aerosol transport and radiative forcing during the Indian Ocean Experiment , 2004 .

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

[16]  G. Carmichael,et al.  Contribution of biomass and biofuel emissions to trace gas distributions in Asia during the TRACE‐P experiment , 2003 .

[17]  S. Ramachandran,et al.  Premonsoon aerosol mass loadings and size distributions over the Arabian Sea and the tropical Indian Ocean , 2002 .

[18]  Ellsworth J. Welton,et al.  Aerosol optical properties during INDOEX 1999: Means, variability, and controlling factors , 2002 .

[19]  P. Quinn,et al.  Carbonaceous aerosol over the Indian Ocean: OC/EC fractions and selected specifications from size‐segregated onboard samples , 2002 .

[20]  Y. Kaufman,et al.  Effects of black carbon content, particle size, and mixing on light absorption by aerosols from biomass burning in Brazil , 1998 .

[21]  A. Stohl Computation, accuracy and applications of trajectories—A review and bibliography , 1998 .

[22]  H. Burtscher,et al.  Hygroscopic properties of carbon and diesel soot particles , 1997 .

[23]  P. Hopke,et al.  Possible sources and preferred pathways for biogenic and non‐sea‐salt sulfur for the high Arctic , 1995 .

[24]  Richard L. Poirot,et al.  Visibility, sulfate and air mass history associated with the summertime aerosol in northern vermont , 1986 .

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