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RecSensitivity analysis in regional modelling on both BASELINE and COVID19 scenario

The uncertainties related to the uncomplete and imprecise description of the strengths and features of some emission sources as well as of some key atmospheric processes give rise, correspondingly, to a wrong reconstruction of air quality concentrations. Such errors influence the ability of air quality model to assess air quality as well as to design plans and measures to address air pollution.

Expected results

– A set of CTM simulations (hourly gridded data and time series at selected receptors) that will allow to quantify the influence of uncertainties on modelling results for air quality assessment, source apportionment and planning.

Simulations will refer to the three selected regions (each including an urban area) and periods and will include all key pollutants (e.g. PM10 and PM2,5 bulk concentration and chemical composition, NOX, NO2, SO2…)

– A set of CTM simulations (hourly gridded data and time series at selected receptors) that will allow to quantify the influence of project recommendation on modelling results for air quality assessment, source apportionment and planning.

Simulations will refer to the three selected regions (each including an urban area) and periods and will include all key pollutants (e.g. PM10 and PM2,5 bulk concentration and chemical composition, NOX, NO2, SO2…)

– A set of boundary condition for local scale modelling