Abstract

Abstract. NO2 concentrations at the street level are a major concern for urban air quality in Europe and have been regulated under the EU Thematic Strategy on Air Pollution. Despite the legal requirements, limit values are exceeded at many monitoring stations with little or no improvement in recent years. In order to assess the effects of future emission control regulations on roadside NO2 concentrations, a downscaling module has been implemented in the GAINS integrated assessment model. The module follows a hybrid approach based on atmospheric dispersion calculations and observations from the AirBase European air quality database that are used to estimate site-specific parameters. Pollutant concentrations at every monitoring site with sufficient data coverage are disaggregated into contributions from regional background, urban increment, and local roadside increment. The future evolution of each contribution is assessed with a model of the appropriate scale: 28 × 28 km grid based on the EMEP Model for the regional background, 7 × 7 km urban increment based on the CHIMERE Chemistry Transport Model, and a chemical box model for the roadside increment. Thus, different emission scenarios and control options for long-range transport as well as regional and local emissions can be analysed. Observed concentrations and historical trends are well captured, in particular the differing NO2 and total NOx = NO + NO2 trends. Altogether, more than 1950 air quality monitoring stations in the EU are covered by the model, including more than 400 traffic stations and 70% of the critical stations. Together with its well-established bottom-up emission and dispersion calculation scheme, GAINS is thus able to bridge the scales from European-wide policies to impacts in street canyons. As an application of the model, we assess the evolution of attainment of NO2 limit values under current legislation until 2030. Strong improvements are expected with the introduction of the Euro 6 emission standard for light duty vehicles; however, for some major European cities, further measures may be required, in particular if aiming to achieve compliance at an earlier time.

Highlights

  • NO2 is a traffic-related air pollutant that is of major concern for public health, both through direct effects and as a precursor to tropospheric ozone formation (WHO, 2006)

  • In order to assess the effects of future emission control regulations on roadside NO2 concentrations, a downscaling module has been implemented in the GAINS integrated assessment model

  • The future evolution of each contribution is assessed with a model of the appropriate scale: 28 × 28 km grid based on the EMEP Model for the regional background, 7 × 7 km urban increment based on the CHIMERE Chemistry Transport Model, and a chemical box model for the roadside increment

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Summary

Introduction

NO2 is a traffic-related air pollutant that is of major concern for public health, both through direct effects and as a precursor to tropospheric ozone formation (WHO, 2006). GAINS air quality impact calculations are currently done on a resolution of roughly 7 × 7 km for human health This resolution is sufficient to describe urban background conditions; compliance with air quality limit values, is determined at single monitoring stations which may be located in street canyons at traffic hot spots and require a significantly finer model resolution. The focus of the GAINS model, is to provide estimates for the evolution of air quality and compliance with limit values in the EU as a whole This results in the need to model concentrations in the immediate vicinity of hundreds of traffic stations. We describe the downscaling scheme that has been implemented in the GAINS model to assess compliance with limit values at individual monitoring stations reporting to the European air quality database (AirBase).

Overview
Modelling for the future
Modelling background concentrations
Further disaggregation: inner-urban concentrations
Modelling the roadside increment
The parametrised model
Estimation of site-specific parameters
Combining background and roadside increment models
Emission calculation
Validation: explaining historical NO2 trends
Uncertainties and robust solutions
National trend for transport demand
Fleet composition and turnover
Trend scenario for NOx emissions from road transport
Emission factors for future vehicles
Baseline trends for NOx emissions
Results: attainment of air quality limit values
Conclusions
Full Text
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