Evaluation of air quality impacts with an integrated assessment model for Spain

Vedrenne, Michel; Borge García, Rafael; Lumbreras Martin, Julio y Rodríguez Hurtado, María Encarnación (2014). Evaluation of air quality impacts with an integrated assessment model for Spain. En: "9th International Conference on Air Quality Science and Application", 24–28 March 2014, Garmisch-Partenkirchen, Germany. ISBN 978-1-909291-20-1.

Descripción

Título: Evaluation of air quality impacts with an integrated assessment model for Spain
Autor/es:
  • Vedrenne, Michel
  • Borge García, Rafael
  • Lumbreras Martin, Julio
  • Rodríguez Hurtado, María Encarnación
Tipo de Documento: Ponencia en Congreso o Jornada (Otro)
Título del Evento: 9th International Conference on Air Quality Science and Application
Fechas del Evento: 24–28 March 2014
Lugar del Evento: Garmisch-Partenkirchen, Germany
Título del Libro: 9th International Conference on Air Quality Science and Application
Fecha: 2014
ISBN: 978-1-909291-20-1
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Química Industrial y del Medio Ambiente
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 37034
Identificador DC: http://oa.upm.es/37034/
Identificador OAI: oai:oa.upm.es:37034
Depositado por: Memoria Investigacion
Depositado el: 29 Jul 2015 08:06
Ultima Modificación: 01 Sep 2017 18:27
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