Plejdrup, M.S. & Gyldenkærne, S. 2011: Spatial distribution of emissions to air – the SPREAD model. National Environmental Research Institute, Aarhus University, Denmark. 72 pp. – NERI Technical Report no. FR823.
The National Environmental Research Institute (NERI), Aarhus University (AU) completes the annual national emission inventories for greenhouse gases and air pollutants according to Denmark’s obligations under international conventions, e.g. the climate convention, UNFCCC and the convention on long-range transboundary air pollution, CLRTAP.
Previously the Danish emissions inventory has been available on 50x50 km EMEP grid for reporting of air pollutants to CLRTAP every fifth year, latest in 2007 for the emission year 2005 and the historical years 1990, 1995 and 2000. The methodology for the 50x50 km distribution is described in a Danish-language report (Jensen et al., 2008a).
Spatial emission data is e.g. used as input for air quality modelling, which again serves as input for assessment and evaluation of health effects. For these purposes distributions with higher spatial resolution has been requested and NERI carried out an improved distribution on the 17x17 km EMEP grid. This distribution has been used in research projects combined with detailed distributions for one or a few sectors or sub-sectors, e.g. a distribution for emissions from road traffic on 1x1 km resolution.
This report describes the new spatial high resolution distribution model for emissions to air (SPREAD) that has been developed to fulfil the requirements for reporting of gridded emissions to CLRTAP and to generate improved spatial emission data for air quality modelling in exposure studies, for one thing.
SPREAD includes emission distributions for each sector in the Danish inventory system; stationary combustion, mobile sources, fugitive emissions from fuels, industrial processes, solvents and other product use, agriculture and waste. This enables generation of distributions for single sectors and for a number of sub-sectors and single sources as well.
This report documents the methodologies in this first version of SPREAD and presents selected results. Further, a number of potential improvements for later versions of SPREAD are addressed and discussed.
