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Improving ammonia emissions in air quality models


Agriculture is the main source of atmospheric ammonia. This compound reacts with nitric acid to form ammonium nitrate aerosols. Under specific meteorological conditions, these aerosols can contribute to high particulate matter concentrations in the low troposphere, which can be responsible for adverse health effects. In spring 2007, the forecasts delivered by the chemical transport model (CTM) CHIMERE within the French operational platform for air quality monitoring and forecasting PREV'AIR were underestimating PM10 levels. In-situ observations on the aerosol composition suggested that was due to a lack of ammonium nitrate aerosol production. To increase the model capability to capture such particulate episode, we have built a coupled approach between CHIMERE and the mechanistic model VOLT'AIR (INRA). This method improves the ammonia emissions by providing a high description (spatially and temporally) of the use of manure and fertilizer spreading and it then allows to get a more precise assessment of ammonia availability in soil. These new emission data are then used in CHIMERE to simulate the particulate matter levels in the atmosphere. The set-up of this new modelling approach will be presented, with details about the input data and the modelling tools. Results of the study carried out for France from March to April 2007 show large spatio-temporal variations of ammonia emissions. Under favourable meteorological conditions, high ammonia emissions contribute largely to aerosol formation. The comparison of results with the previously used method indicates significant differences in the spatial distribution and magnitude of ammonia emissions and therefore of secondary aerosol formation.
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ineris-00970803 , version 1 (02-04-2014)



Lynda Hamaoui-Laguel, Frédérik Meleux, Matthias Beekmann, Bertrand Bessagnet, Sophie Génermont. Improving ammonia emissions in air quality models. EGU General Assembly 2011, Apr 2011, Vienne, Austria. ⟨ineris-00970803⟩
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