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This paper presents an application of the DELTA evaluation tool V3.2 to support the EU Air Quality Directive (AQD 2008). This software, designed in the frame of the FAIRMODE project (Forum for Air Quality Modelling in Europe, http://fairmode.ew.eea.europa.eu/), is currently used as support to working groups of modelers across Europe in the diagnostics and assessment of air quality model performances under the AQD (2008). The skills of the DELTA tool V3.2 are tested by looking at the results of a 1-year (2005) simulation performed using the transport chemical aerosol model (Carnevale et al. 2008) at 6x6-km(2) resolution over the Po Valley. The modeled daily PM10 concentrations at surface level are compared to observations provided by approximately 50 stations distributed across the domain. The main statistical parameters (i.e., bias, root mean square error, correlation coefficient, standard deviation) as well as different types of diagrams (scatter plots, time series plots, Taylor and target plots) have been produced. A representation of the observation uncertainty in the target plot, used to derive model performance criteria for the main statistical indicators, is also presented and discussed

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The use of modelling tools to support decision-makers to plan air quality policies is now quite widespread in Europe. In this paper, the Regional Integrated Assessment Tool (RIAT+), which was designed to support policy-maker decision on optimal emission reduction measures to improve air quality at minimum costs, is applied to the Porto Urban Area (Portugal). In addition to technological measures, some local measures were included in the optimization process. Case study results are presented for a multi-objective approach focused on both NO and PM10 control measures, assuming equivalent importance in the optimization process. The optimal set of air quality measures is capable to reduce simultaneously the annual average concentrations values of PM10 and NO in 1.7 and 1.0 μg/m, respectively. This paper illustrates how the tool could be used to prioritize policy objectives and help making informed decisions about reducing air pollution and improving public health.