Wikindx Resources

Communication incl. Poster: BibTeX citation key:  Assamoi
Assamoi, E. & Liousse, C. 2009. African aerosol modelling during the year 2005 with updated fossil fuel and biofuel emissions inventories. Work presented at Third International AMMA Conference, July 20—24, at Ouagadougou, Burkina Faso.
Added by: roussot 2009-10-19 18:54:15
 B  
Categories: Aerosol and Chemistry
Keywords: Aerosol
Creators: Assamoi, Liousse
Publisher: African Monsoon Multidisciplinary Analyses (Ouagadougou, Burkina Faso)
Collection: Third International AMMA Conference

Number of views:  1063
Popularity index:  56.24%
Maturity index:  published

 
Abstract
A regional fossil fuel and biofuel emission inventory for gases and particulates has been developed at a resolution of 0.25° x 0.25° for Africa. The basic methodology of Junker and Liousse (2009) was used with regionally adapted fuel consumption and emission factors. Data consumptions were corrected from inquiries conducted over Western Africa, including a new emitter category (i.e. two-wheel vehicles including “zemidjans”) which was not considered in previous emission inventories. Emission factors were issued from measurements during the 2005 AMMA campaign (Guinot et al., 2009) and combustion chamber experiments. In this paper, BC and OCp emission budgets for these new inventories will be discussed and compared to previous global dataset. These new inventories associated with the most recent biomass burning inventory (Liousse et al., 2009) have been tested in the ORISAM-TM5 global chemistry-climate model by comparing modelled gas and particulate concentrations with available measurements in African cities (e.g. Cotonou, Bamako and Dakar). For this purpose, a global simulation has been performed for the year 2005 with ORISAM-TM5, including a 6-bin dynamic sectional aerosol module, comprising primary BC and dust particles and secondary particulate formation (SOA, sulphate, coarse nitrate, ammonium, water, etc). Major trends observed over African urban areas are well reproduced by our global model, associated with the updated fossil fuel and biofuel emissions. Results of sensitivity tests driven with different emission scenarios will be presented.
Added by: roussot