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ORCID: https://orcid.org/0000-0003-3390-6709, Lumbreras Martín, Julio
ORCID: https://orcid.org/0000-0001-7105-8689 and Rodríguez Hurtado, María Encarnación
ORCID: https://orcid.org/0000-0002-2077-8915
(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.
| Título: | Advancements in the design and validation of an air pollution integrated assessment model for Spain |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Environmental Modelling & Software |
| Fecha: | Julio 2014 |
| ISSN: | 1364-8152 |
| Volumen: | 57 |
| Número: | null |
| Materias: | |
| ODS: | |
| 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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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.
| ID de Registro: | 35600 |
|---|---|
| Identificador DC: | https://oa.upm.es/35600/ |
| Identificador OAI: | oai:oa.upm.es:35600 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5490205 |
| Identificador DOI: | 10.1016/j.envsoft.2014.03.002 |
| URL Oficial: | http://www.journals.elsevier.com/environmental-mod... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 16 Sep 2015 18:00 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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