2007
DOI: 10.1007/s11270-007-9457-2
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A Spatially and Temporally Disaggregated Anthropogenic Emission Inventory in the Southern Balkan Region

Abstract: A spatially and temporally resolved atmospheric emission inventory of ozone precursor pollutants (NOx, NMVOCs and CO) was developed for the southern Balkan region in order to support air quality modelling studies focusing on Greece. The inventory is established for the reference year 2000 and it has 10 km spatial resolution. Annual anthropogenic emission data obtained from official national emission inventories and from international emission databases were spatially disaggregated and allocated to a gridded do… Show more

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Cited by 24 publications
(10 citation statements)
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“…The hourly values of the biogenic non-methane volatile organic compounds (NMVOCs) and the anthropogenic NOx, NMVOCs and CO emissions over the entire grid, used as input data to the photochemical model, were based on an emission inventory developed for the modelling domain having a 10-km horizontal spatial resolution (Poupkou et al 2007;Symeonidis et al 2008). The biogenic emissions were calculated following the detailed methodology of the EMEP/CORINAIR emission inventory guidebook (EMEP/CORINAIR 2002;Simpson et al 1999).…”
Section: The Air Quality Modelmentioning
confidence: 99%
“…The hourly values of the biogenic non-methane volatile organic compounds (NMVOCs) and the anthropogenic NOx, NMVOCs and CO emissions over the entire grid, used as input data to the photochemical model, were based on an emission inventory developed for the modelling domain having a 10-km horizontal spatial resolution (Poupkou et al 2007;Symeonidis et al 2008). The biogenic emissions were calculated following the detailed methodology of the EMEP/CORINAIR emission inventory guidebook (EMEP/CORINAIR 2002;Simpson et al 1999).…”
Section: The Air Quality Modelmentioning
confidence: 99%
“…The latter tools are increasingly been used for environmental modelling studies and air pollution analysis. They provide an integrated framework for quantification of emissions and/or spatial data analysis (Brodie 1999;Symeonidis et al 2003;Symeonidis et al 2007). They are the basis for the compilation of spatially and temporally resolved emission inventories which are easily updated and can efficiently provide the demanding input fields of cell-based air quality models.…”
Section: Introductionmentioning
confidence: 99%
“…4 These sources are treated as area emissions and spatially disaggregated with the top-down approach, which was earlier successfully applied for other countries. [32][33][34] Here, the top-down procedure is performed separately for commercial, residential, and agricultural combustion sources and coal and gas fuels ( Figure 2). First, the national total emissions of each subsector and a given fuel are divided into the Nomenclature of Territorial Units for Statistics (NUTS) level 2 regions (Figure 2) according to information on coal or gas consumption in the SNAP subsector considered.…”
Section: Emission Datamentioning
confidence: 99%