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

Vedrenne Gutierrez, Michel; Borge García, Rafael; Lumbreras Martin, Julio y 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.

Descripción

Título: Advancements in the design and validation of an air pollution integrated assessment model for Spain
Autor/es:
  • Vedrenne Gutierrez, Michel
  • Borge García, Rafael
  • Lumbreras Martin, Julio
  • Rodríguez Hurtado, María Encarnación
Tipo de Documento: Artículo
Título de Revista/Publicación: Environmental Modelling & Software
Fecha: Julio 2014
Volumen: 57
Materias:
Palabras Clave Informales: Integrated Assessment Model; Air quality modelling; Iberian Peninsula; Decision support; Air pollution
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

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.

Más información

ID de Registro: 35600
Identificador DC: http://oa.upm.es/35600/
Identificador OAI: oai:oa.upm.es:35600
Identificador DOI: 10.1016/j.envsoft.2014.03.002
URL Oficial: http://www.journals.elsevier.com/environmental-modelling-and-software/
Depositado por: Memoria Investigacion
Depositado el: 16 Sep 2015 18:00
Ultima Modificación: 01 Sep 2017 17:56
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