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@InProceedings{SánchezGácitaAlonLongFrei:2010:ImImCu,
               author = "S{\'a}nchez G{\'a}cita, Madeleine and Alonso, Marcelo Felix and 
                         Longo, Karla Maria and Freitas, Saulo Ribeiro de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Impact of an improved Cuban emissions inventory on air quality 
                         simulations",
            booktitle = "Abstracts...",
                 year = "2010",
                pages = "0165",
         organization = "American Geophysical Union Fall Meeting.",
             keywords = "ATMOSPHERIC COMPOSITION AND STRUCTURE, Pollution urban and 
                         regional, Troposphere composition and chemistry, Troposphere 
                         constituent transport and chemistry, General or miscellaneous.",
             abstract = "The energy sector in the Central America and Caribbean regions is 
                         primarily fossil fuel based and one of the major sources of air 
                         pollution in the region. In Cuba, energy production is responsible 
                         for 99% of SO2 emissions, 98% of NOX and 94% of CO, with emissions 
                         in 2000 of 588.59 Gg, 149.57 Gg and 536.42 Gg, respectively, 
                         according to the Cuban National Inventory - CNI. Electric power 
                         generation plants, the most important sub-sector, are highlighted 
                         as point sources of high emissions, in particular, SO2. Global 
                         inventories are shown to be inaccurate for Cuba. RETRO has 
                         non-zero data for just one cell, over the city of Havana. EDGAR 
                         has deficiencies in its geographical distribution, with no 
                         emissions over the city of Havana, and the distribution of 
                         emissions by sectors is unrealistic according to the CNI: for 
                         instance, in the case of SO2, it distributes emissions nearly 
                         equally between electricity generation and the remaining sectors, 
                         which is inaccurate. More importantly, emissions are 
                         overestimated, with the notable exception of SO2 and NMVOC. The 
                         most important reasons are the particularities of Cuba, including 
                         the extensive employ of fossil fuels with little refining and high 
                         sulfur content in energy production and industrial processes such 
                         as asphalt production, and the use of low efficiency technologies. 
                         This work presents an improved emissions inventory with CNI data 
                         and detailed emissions for all major power generation plants. The 
                         impact of this improvement was assessed through numerical air 
                         quality simulations of the transport and transformation of these 
                         emissions from a regional perspective, conducted with the 
                         CCATT-BRAMS 3D atmospheric chemical transport model, developed and 
                         maintained by INPE, Brazil. Boundary conditions were supplied by 
                         global model MOCAGE with chemistry scheme RELACS. Simulations with 
                         the new inventory were conducted with CATT-BRAMS using chemical 
                         mechanism RELACS, incorporated as part of this work, for two 
                         months (January and August) of 2008, and the differences found for 
                         the observed patterns for the dispersion of pollutants at a 
                         regional scale are discussed. The behavior of the model was 
                         evaluated through sensitivity tests.",
      conference-year = "dec.",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
           targetfile = "sanchez_impact.pdf",
                  url = "http://adsabs.harvard.edu/abs/2010AGUFM.A51D0165S",
               volume = "51",
        urlaccessdate = "31 out. 2020"
}


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