Speaker
Description
Source apportionment methods are key to understand the complex, non-linear contribution processes of different emitting sectors to ambient air quality and the potential benefits on air quality that emission abatement measures may entail. This contribution illustrates the application of the Decoupled Direct Method (DDM) as the basis of a platform to inform and support the decision-making process at city scale. The SIMAD (advanced air pollution and climate change analysis and assessment system for the city of Madrid) system relies on CMAQ-DDM-3D (version 5.4) with 1 km2 resolution. We computed hour-specific sensitivities to the emissions of the main policy-relevant subsectors in the city (road traffic, residential, commercial and institutional sectors and solvents use). Sensitivities of the target pollutants consider the main relevant precursors in each case (NOX for NO2, NOX and VOC for O3 and NOX, VOC, SO2, NH3 and primary PM for PM2.5). A reduced form model was built using DDM sensitivity coefficients in a Taylor series expansion so SIMAD can be used to both, keep track of air quality changes as emissions are updated and as a screening tool to design measures to meet the goals of the new EU Air Quality Directive and to assess population exposure.
