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Vedrenne, Michel, Borge García, Rafael ORCID: https://orcid.org/0000-0003-3390-6709, Lumbreras Martin, Julio
ORCID: https://orcid.org/0000-0001-7105-8689 and Rodríguez Hurtado, María Encarnación
ORCID: https://orcid.org/0000-0002-2077-8915
(2014).
Evaluation of air quality impacts with an integrated assessment model for Spain.
In: "9th International Conference on Air Quality Science and Application", 24–28 March 2014, Garmisch-Partenkirchen, Germany. ISBN 978-1-909291-20-1.
Title: | Evaluation of air quality impacts with an integrated assessment model for Spain |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Other) |
Event Title: | 9th International Conference on Air Quality Science and Application |
Event Dates: | 24–28 March 2014 |
Event Location: | Garmisch-Partenkirchen, Germany |
Title of Book: | 9th International Conference on Air Quality Science and Application |
Date: | 2014 |
ISBN: | 978-1-909291-20-1 |
Subjects: | |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Ingeniería Química Industrial y del Medio Ambiente |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The present paper describes the advancement and evaluation of air quality-related impacts with the Atmospheric Evaluation and Research Integrated system for Spain (AERIS). In its current version, AERIS is able to provide estimates on the impacts of air quality over human health (PM2.5 and O3), crops and vegetation (O3). The modules that allow quantifying the before mentioned impacts were modeled by applying different approaches (mostly for the European context) present in scientific literature to the conditions of the Iberian Peninsula. This application was supported by reliable data sources, as well as by the good predictive capacity of AERIS for ambient concentrations. For validation purposes, the estimates of AERIS for impacts on human health (change in the statistical life expectancy-PM2.5) and vegetation (loss of wheat crops-O3) were compared against results from the SERCA project and GAINS estimates for two emission scenarios. In general, good results evidenced by reasonable correlation coefficients were obtained, therefore confirming the adequateness of the followed modeling approaches and the quality of AERIS predictions.
Item ID: | 37034 |
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DC Identifier: | https://oa.upm.es/37034/ |
OAI Identifier: | oai:oa.upm.es:37034 |
Deposited by: | Memoria Investigacion |
Deposited on: | 29 Jul 2015 08:06 |
Last Modified: | 01 Sep 2017 18:27 |