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Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model

Regional and local authorities have the obligation to design air quality plans and assess their impacts when concentration levels exceed the limit values. Because these limit values cover both short- (day) and long-term (year) effects, air quality plans also follow these two formats. In this work, w...

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Autores principales: Thunis, P., Degraeuwe, B., Pisoni, E., Meleux, F., Clappier, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306338/
https://www.ncbi.nlm.nih.gov/pubmed/28250866
http://dx.doi.org/10.1007/s11869-016-0427-y
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author Thunis, P.
Degraeuwe, B.
Pisoni, E.
Meleux, F.
Clappier, A.
author_facet Thunis, P.
Degraeuwe, B.
Pisoni, E.
Meleux, F.
Clappier, A.
author_sort Thunis, P.
collection PubMed
description Regional and local authorities have the obligation to design air quality plans and assess their impacts when concentration levels exceed the limit values. Because these limit values cover both short- (day) and long-term (year) effects, air quality plans also follow these two formats. In this work, we propose a methodology to analyze modeled air quality forecast results, looking at emission reduction for different sectors (residential, transport, agriculture, etc.) with the aim of supporting policy makers in assessing the impact of short-term action plans. Regarding PM(10), results highlight the diversity of responses across European cities, in terms of magnitude and type that raises the necessity of designing area-specific air quality plans. Action plans extended from 1 to 3 days (i.e., emissions reductions applied for 24 and 72 h, respectively) point to the added value of trans-city coordinated actions. The largest benefits are seen in central Europe (Vienna, Prague) while major cities (e.g., Paris) already solve a large part of the problem on their own. Eastern Europe would particularly benefit from plans based on emission reduction in the residential sectors; while in northern cities, agriculture seems to be the key sector on which to focus attention. Transport is playing a key role in most cities whereas the impact of industry is limited to a few cities in south-eastern Europe. For NO(2), short-term action plans focusing on traffic emission reductions are efficient in all cities. This is due to the local character of this type of pollution. It is important, however, to stress that these results remain dependent on the selected months available for this study.
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spelling pubmed-53063382017-02-27 Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model Thunis, P. Degraeuwe, B. Pisoni, E. Meleux, F. Clappier, A. Air Qual Atmos Health Article Regional and local authorities have the obligation to design air quality plans and assess their impacts when concentration levels exceed the limit values. Because these limit values cover both short- (day) and long-term (year) effects, air quality plans also follow these two formats. In this work, we propose a methodology to analyze modeled air quality forecast results, looking at emission reduction for different sectors (residential, transport, agriculture, etc.) with the aim of supporting policy makers in assessing the impact of short-term action plans. Regarding PM(10), results highlight the diversity of responses across European cities, in terms of magnitude and type that raises the necessity of designing area-specific air quality plans. Action plans extended from 1 to 3 days (i.e., emissions reductions applied for 24 and 72 h, respectively) point to the added value of trans-city coordinated actions. The largest benefits are seen in central Europe (Vienna, Prague) while major cities (e.g., Paris) already solve a large part of the problem on their own. Eastern Europe would particularly benefit from plans based on emission reduction in the residential sectors; while in northern cities, agriculture seems to be the key sector on which to focus attention. Transport is playing a key role in most cities whereas the impact of industry is limited to a few cities in south-eastern Europe. For NO(2), short-term action plans focusing on traffic emission reductions are efficient in all cities. This is due to the local character of this type of pollution. It is important, however, to stress that these results remain dependent on the selected months available for this study. Springer Netherlands 2016-09-10 2017 /pmc/articles/PMC5306338/ /pubmed/28250866 http://dx.doi.org/10.1007/s11869-016-0427-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Thunis, P.
Degraeuwe, B.
Pisoni, E.
Meleux, F.
Clappier, A.
Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title_full Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title_fullStr Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title_full_unstemmed Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title_short Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model
title_sort analyzing the efficiency of short-term air quality plans in european cities, using the chimere air quality model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306338/
https://www.ncbi.nlm.nih.gov/pubmed/28250866
http://dx.doi.org/10.1007/s11869-016-0427-y
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