PRESSURES The functionality of the PRESSURES block aims at estimating emission data or/and reliable emission projections. The main uncertainties related to this are indirect, due to the output of the DRIVERS block (activity levels) and direct, related to the data on emission factors, to the spatial and temporal distributions (gridding) procedures and the proxies used (Ponche, 2002, François et al., 2005). STATES The functionality of the STATES block is to produce air quality (AQ) state, i.e. pollutant concentrations or deposition, starting from emissions. Generally, AQ state is simulated through the use of a numerical model, but AQ state can also be described through measurements together with a geo-statistical interpolation method and source-receptor models to link emissions and concentrations at a specific location. When the AQ is evaluated through measurements only, uncertainties are related to the measurements themselves (generally well known), to the geo-statistical methods used to interpolate point measurements and to uncertainties related to source apportionment technique used to link emissions to the AQ state. In Hanna (2001) the total uncertainty related to a model simulation can be computed as the sum of both linguistic (model formulation and inherent variability due to the stochastic nature of atmospheric processes) and epistemic (input data) uncertainty. IMPACTS Health Impact Assessment (HIA) aims to the quantification of the expected health burden induced by atmospheric pollution in the target population, most commonly expressed in of years of life lost attributable to the exposure to the atmospheric pollutant(s) under study (Krzyzanowski et al., 2002). Beside the indirect effects from the STATE block output, the IMPACT block is strongly affected by indirect uncertainty sources related to the computation of exposure levels. Moreover, there is uncertainty related
PRESSURES The functionality of the PRESSURES block aims at estimating emission data or/and reliable emission projections. The main uncertainties related to this are indirect, due to the output of the DRIVERS block (activity levels) and direct, related to the data on emission factors, to the spatial and temporal distributions (gridding) procedures and the proxies used (Ponche, 2002, François et al., 2005). STATES The functionality of the STATES block is to produce air quality (AQ) state, i.e. pollutant concentrations or deposition, starting from emissions. Generally, AQ state is simulated through the use of a numerical model, but AQ state can also be described through measurements together with a geo-statistical interpolation method and source-receptor models to link emissions and concentrations at a specific location. When the AQ is evaluated through measurements only, uncertainties are related to the measurements themselves (generally well known), to the geo-statistical methods used to interpolate point measurements and to uncertainties related to source apportionment technique used to link emissions to the AQ state. In Hanna (2001) the total uncertainty related to a model simulation can be computed as the sum of both linguistic (model formulation and inherent variability due to the stochastic nature of atmospheric processes) and epistemic (input data) uncertainty. IMPACTS Health Impact Assessment (HIA) aims to the quantification of the expected health burden induced by atmospheric pollution in the target population, most commonly expressed in of years of life lost attributable to the exposure to the atmospheric pollutant(s) under study (Krzyzanowski et al., 2002). Beside the indirect effects from the STATE block output, the IMPACT block is strongly affected by indirect uncertainty sources related to the computation of exposure levels. Moreover, there is uncertainty related
Uncertainty_Paper-2015-11-12_CC_GG.docx