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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 19
Atmos. Chem. Phys., 16, 12457–12476, 2016
https://doi.org/10.5194/acp-16-12457-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 12457–12476, 2016
https://doi.org/10.5194/acp-16-12457-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Oct 2016

Research article | 05 Oct 2016

Monthly and spatially resolved black carbon emission inventory of India: uncertainty analysis

Umed Paliwal1, Mukesh Sharma1, and John F. Burkhart2,3 Umed Paliwal et al.
  • 1Department of Civil Engineering, Indian Institute of Technology, Kanpur, 208016, India
  • 2Department of Geosciences, University of Oslo, Norway
  • 3Sierra Nevada Research Institute, University of California, Merced, California, USA

Abstract. Black carbon (BC) emissions from India for the year 2011 are estimated to be 901.11 ± 151.56 Gg yr−1 based on a new ground-up, GIS-based inventory. The grid-based, spatially resolved emission inventory includes, in addition to conventional sources, emissions from kerosene lamps, forest fires, diesel-powered irrigation pumps and electricity generators at mobile towers. The emissions have been estimated at district level and were spatially distributed onto grids at a resolution of 40 × 40 km2. The uncertainty in emissions has been estimated using a Monte Carlo simulation by considering the variability in activity data and emission factors. Monthly variation of BC emissions has also been estimated to account for the seasonal variability. To the total BC emissions, domestic fuels contributed most significantly (47 %), followed by industry (22 %), transport (17 %), open burning (12 %) and others (2 %). The spatial and seasonal resolution of the inventory will be useful for modeling BC transport in the atmosphere for air quality, global warming and other process-level studies that require greater temporal resolution than traditional inventories.

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The article presents a comprehensive and unique emissions inventory for black carbon in India for the year 2011. It is a unique assessment of emissions in that it i) provides a temporally varying emissions estimate for all of India, ii) provides the inventory on a 40 × 40 km2 grid, and iii) includes sources previously not considered (cell tower and small commercial generators and kerosene lamps).
The article presents a comprehensive and unique emissions inventory for black carbon in India...
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