This subproject focuses on improving the emissions estimates from transport sources, particularly in those areas where existing data is uncertain or lacking.
The major items to be delivered in this subproject are:
1. A dataset containing PM emissions of transport with different levels of detail with respect to the spatial distribution, to be used as input for following SP’s in air quality modelling and exposure. In the following text “PM-emissions” refer to particulate size distribution, for both mass and number of particles and any relevant precursor pollutant causing particulate to form in atmospheric reactions.
2. Improved state-of-the-art methodology for the quantification of transport PM exhaust and non-exhaust emissions, using emission factors or profiles. The complete list of pollutants we will consider in the project are: PM1.0, PM2.5, PM10, number of ultrafine particles (PN0.1), elemental carbon, PAH, Nitro PH, NOx, SOx, VOC, metals (Lead, Pb, Chromium, Cr, Vanadium, V, Nickle, Ni, Cadmium, Cd, Platinum, Pt and Barium, Ba).
3. A dataset with transport activities per modes, and the vehicle stocks per age class and technology. This data will predominantly be used for the mitigation measures in SP5.
The level of disaggregation for the datasets will be: EU-scale (per country), Global scale (for maritime), Case city, spatial disaggregated and additional cities that can be extrapolated from the case cities. The dataset will consider the period 1990-2030. The historical data (1990-2005) will feed into the dose-response function calibration in SP3, the future years (2005-2030) will be used in the mitigation tasks of SP4 and SP5. It is not feasible to develop quantitative prognoses beyond 2030. However, a qualitative outlook for 2050 will be provided to support the policy evaluations in SP5.
CONTACT: Griet De Ceuster (SP leader), Zissis Samaras (SP deputy leader)