Abstract
One crucial issue about energy scenarios is their ability to sufficiently improve local air quality, in view of the strong orientation of current regulations towards energy efficiency and CO2 emission reduction issues. In this presentation, we discuss the impact on air quality of the implementation of an ambitious energy scenario that was recently developed by The French Environment and Energy Management Agency (ADEME) for the time horizon of 2030. With this aim, the abatement of air pollutants emissions arising from this scenario was evaluated, and the scenario was simulated. Simulations were conducted at the urban/regional scales, with two "state of the art" chemical transport models (CTM), over three different urban areas. The main species/indicators of interest for the impact of the emission scenario on air quality are nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5) and ozone (O3). The results show that the three urban areas give specific responses to the emissions changes, that are discussed against air quality indicators in view of their different characteristics. The differences between the results of each model will be analysed to assess the uncertainty in the evaluation of the scenario efficiency.
| Original language | English |
|---|---|
| Pages | 224-228 |
| Number of pages | 5 |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 16th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2014 - Varna, Bulgaria Duration: 8 Sept 2014 → 11 Sept 2014 |
Conference
| Conference | 16th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2014 |
|---|---|
| Country/Territory | Bulgaria |
| City | Varna |
| Period | 8/09/14 → 11/09/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Air quality
- Emissions abatement scenario
- Prospective evaluation
- Uncertainties
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