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dc.contributor.authorBasart, Sara
dc.contributor.authorPay Pérez, M. Teresa
dc.contributor.authorJorba Casellas, Oriol
dc.contributor.authorPérez García-Pando, Carlos
dc.contributor.authorJiménez Guerrero, Pedro
dc.contributor.authorSchulz, M.
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.date.accessioned2012-05-31T17:40:01Z
dc.date.available2012-05-31T17:40:01Z
dc.date.created2012-04-10
dc.date.issued2012-04-10
dc.identifier.citationBasart, S. [et al.]. Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe. "Atmospheric chemistry and physics", 10 Abril 2012, vol. 12, núm. 7, p. 3363-3392.
dc.identifier.issn1680-7316
dc.identifier.urihttp://hdl.handle.net/2117/15959
dc.description.abstractThe CALIOPE air quality modelling system is developed and applied to Europe with high spatial resolution (12 km × 12 km). The modelled daily-to-seasonal aerosol variability over Europe in 2004 is evaluated and analysed. Aerosols are estimated from two models, CMAQv4.5 (AERO4) and BSC-DREAM8b. CMAQv4.5 calculates biogenic, anthropogenic and sea salt aerosol and BSC-DREAM8b provides the natural mineral dust contribution from North African deserts. For the evaluation, we use daily PM10, PM2.5 and aerosol components data from 55 stations of the EMEP/CREATE network and total, coarse and fine aerosol optical depth (AOD) data from 35 stations of the AERONET sun photometer network. Annual correlations between modelled and observed values for PM10 and PM2.5 are 0.55 and 0.47, respectively. Correlations for total, coarse and fine AOD are 0.51, 0.63, and 0.53, respectively. The higher correlations of the PM10 and the coarse mode AOD are largely due to the accurate representation of the African dust influence in the forecasting system. Overall PM and AOD levels are underestimated. The evaluation of the aerosol components highlights underestimations in the fine fraction of carbonaceous matter (EC and OC) and secondary inorganic aerosols (SIA; i.e. nitrate, sulphate and ammonium). The scores of the bulk parameters are significantly improved after applying a simple model bias correction based on the observed aerosol composition. The simulated PM10 and AOD present maximum values over the industrialized and populated Po Valley and Benelux regions. SIA are dominant in the fine fraction representing up to 80% of the aerosol budget in latitudes north of 40° N. In southern Europe, high PM10 and AOD are linked to the desert dust transport from the Sahara which contributes up to 40% of the aerosol budget. Maximum seasonal ground-level concentrations (PM10 > 30 μg m−3) are found between spring and early autumn. We estimate that desert dust causes daily exceedances of the PM10 European air quality limit value (50 μg m−3) in large areas south of 45° N with more than 75 exceedances per year in the southernmost regions
dc.format.extent30 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament d'emissions i olors
dc.subject.lcshAerosols -- Environmental aspects
dc.subject.lcshAir quality -- Measurement -- Mathematical models
dc.titleAerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe
dc.typeArticle
dc.subject.lemacAerosols -- Aspectes ambientals
dc.subject.lemacAire -- Qualitat -- Mesurament -- Models matemàtics
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.identifier.doi10.5194/acp-12-3363-2012
dc.rights.accessOpen Access
local.identifier.drac10218500
dc.description.versionPostprint (published version)
local.citation.authorBasart, S.; Pay, M.; Jorba, O.; Pérez, C.; Jiménez, P.; Schulz, M.; Baldasano, J.
local.citation.publicationNameAtmospheric chemistry and physics
local.citation.volume12
local.citation.number7
local.citation.startingPage3363
local.citation.endingPage3392


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