Analysis of model responses to emission-reduction scenarios within the CityDelta project

摘要

This paper investigates how air quality models applied at different scales (50 and 5 km horizontal resolutions) can predict pollution levels in response to emission control strategies in various cities in Europe. This study, involving five modelling teams and focused on four European cities, has been conducted within the CityDelta project (http://aqm.jrc.it/ citydelta). The CityDelta models generally agree, on the O_3 changes expected from scenarios representative of the current legislation on air pollution in 2010, named CLE. They also agree about less scope for further improvements from emission controls beyond CLE. For PM_(10), more significant differences between the models are observed, especially between models with different spatial resolutions. However, these differences are city-dependent and are larger in complex geographical areas such as Milan in the P6 Valley than in the Paris area.rnFine scale models generally capture important urban scale effects, which are not represented by regional scale models. For instance, they improve the simulation of potential O_3 increase caused by NO_x emissions reduction in NM VOC-limited regime situations. Large scale models generally underpredict PM mean concentrations in city areas. A series of emission scenarios to address the question of the efficiency of local emission controls designed independently from regional measures is analyzed. The analysis of the CityDelta results contributes to the quantification of the impact of grid resolution in air quality modelling, and its application to emission control scenarios.