Advancements in the design and validation of an air pollution integrated assessment model for Spain

Vedrenne Gutierrez, Michel and Borge García, Rafael and Lumbreras Martin, Julio and Rodríguez Hurtado, María Encarnación (2014). Advancements in the design and validation of an air pollution integrated assessment model for Spain. "Environmental Modelling & Software", v. 57 (n. null); pp. 177-191. ISSN 1364-8152. https://doi.org/10.1016/j.envsoft.2014.03.002.

Description

Title: Advancements in the design and validation of an air pollution integrated assessment model for Spain
Author/s:
  • Vedrenne Gutierrez, Michel
  • Borge García, Rafael
  • Lumbreras Martin, Julio
  • Rodríguez Hurtado, María Encarnación
Item Type: Article
Título de Revista/Publicación: Environmental Modelling & Software
Date: July 2014
ISSN: 1364-8152
Volume: 57
Subjects:
Freetext Keywords: Integrated Assessment Model; Air quality modelling; Iberian Peninsula; Decision support; Air pollution
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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Abstract

This paper describes the design and application of the Atmospheric Evaluation and Research Integrated model for Spain (AERIS). Currently, AERIS can provide concentration profiles of NO2, O3, SO2, NH3, PM, as a response to emission variations of relevant sectors in Spain. Results are calculated using transfer matrices based on an air quality modelling system (AQMS) composed by the WRF (meteorology), SMOKE (emissions) and CMAQ (atmospheric-chemical processes) models. The AERIS outputs were statistically tested against the conventional AQMS and observations, revealing a good agreement in both cases. At the moment, integrated assessment in AERIS focuses only on the link between emissions and concentrations. The quantification of deposition, impacts (health, ecosystems) and costs will be introduced in the future. In conclusion, the main asset of AERIS is its accuracy in predicting air quality outcomes for different scenarios through a simple yet robust modelling framework, avoiding complex programming and long computing times.

More information

Item ID: 35600
DC Identifier: http://oa.upm.es/35600/
OAI Identifier: oai:oa.upm.es:35600
DOI: 10.1016/j.envsoft.2014.03.002
Official URL: http://www.journals.elsevier.com/environmental-modelling-and-software/
Deposited by: Memoria Investigacion
Deposited on: 16 Sep 2015 18:00
Last Modified: 01 Sep 2017 17:56
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