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

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      Atmospheric Chemistry and Physics
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> Black carbon (BC) emissions from India for the year 2011 are estimated to be 901.11<span class="thinspace"></span>±<span class="thinspace"></span>151.56<span class="thinspace"></span>Gg<span class="thinspace"></span>yr<sup>−1</sup> 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<span class="thinspace"></span>km<sup>2</sup>. 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<span class="thinspace"></span>%), followed by industry (22<span class="thinspace"></span>%), transport (17<span class="thinspace"></span>%), open burning (12<span class="thinspace"></span>%) and others (2<span class="thinspace"></span>%). 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.</p>

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          Global and regional climate changes due to black carbon

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              Present-day climate forcing and response from black carbon in snow

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                Author and article information

                Journal
                Atmospheric Chemistry and Physics
                Atmos. Chem. Phys.
                Copernicus GmbH
                1680-7324
                2016
                October 05 2016
                : 16
                : 19
                : 12457-12476
                Article
                10.5194/acp-16-12457-2016
                7ea1bfda-0095-4909-8911-4bc432af7a7c
                © 2016

                https://creativecommons.org/licenses/by/3.0/

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