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The sensitivity of the CHIMERE model to emissions reduction scenarios on air quality in Northern Italy

Abstract : The sensitivity of the CHIMERE model to emission reduction scenarios on particulate matter PM2.5 and ozone (O3) in Northern Italy is studied. The emissions of NOx, PM2.5 SO2, VOC or NH3 were reduced by 50% for different source sectors for the Lombardy region, together with 5 additional scenarios to estimate the effect of local measures on improving the air quality for the Po valley area. Firstly, we evaluate the model performance by comparing calculated surface aerosol concentrations for the standard case (no emission reductions) with observations for January and June 2005. Calculated monthly mean PM10 concentrations are in general underestimated. For June, modelled PM10 concentrations slightly overestimate the measurements. Calculated monthly mean SO4=, NO3-, NH4+ concentrations are in good agreement with the observations for January and June. Secondly, the model sensitivity of emission reduction scenarios on PM2.5 and O3 calculated concentrations for the Po valley area is evaluated. The most effective scenarios to abate PM2.5 concentration are based on the SNAP2 (non-industrial combustion plants) and SNAP7 (road traffic) sectors, for which the NOx and PM2.5 emissions are reduced by 50%. The number of days that the 2015 PM2.5 limit value of 25 micro g m-3 in Milan is exceeded by reducing primary PM2.5 and NOx emissions for SNAP2 and 7 by 50%, does not change in January when compared to the standard case for the Milan area. It appears that 40% of the PM2.5 concentration in the greater Milan area is caused by the emissions surrounding the Lombardy region and from the model boundary conditions. This study also showed that a more effective pollutant reduction (emissions) per ton of pollutant reduced (concentrations) for the greater Milan area is obtained by reducing the primary PM2.5 emissions for SNAP7 by 50%. The most effective scenario on PM2.5 decrease for which precursor emissions are reduced is achieved by reducing SO2 emissions by 50% for SNAP7. Our study showed that during summer time, the largest reductions in O3 concentrations are achieved for SNAP7 emission reductions, when volatile organic compounds (VOCs) are reduced by 50%.
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A. de Meij, P. Thunis, Bertrand Bessagnet, C. Cuvelier. The sensitivity of the CHIMERE model to emissions reduction scenarios on air quality in Northern Italy. Atmospheric environment, Elsevier, 2009, 43 (11), pp.1897-1907. ⟨10.1016/j.atmosenv.2008.12.036⟩. ⟨ineris-00963165⟩



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