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dc.contributor.authorGuevara Vilardell, Marc
dc.contributor.authorArevalo Roa, Gustavo
dc.contributor.authorSoret Miravet, Albert
dc.contributor.authorMartínez Farré, Francesc Xavier
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
dc.identifier.citationGuevara, M. [et al.]. Implementation of plume rise and its impacts on emissions and air quality modelling. "Atmospheric environment", 01 Desembre 2014, vol. 99, p. 618-629.
dc.description.abstractThis work analyses the impact of implementing hourly plume rise calculations over Spain in terms of: i) vertical emission allocations and ii) modelled air quality concentrations. Two air quality simulations (4 km x 4 km, 1 h) were performed for February and June 2009, using the CALIOPE-AQFS system (WRF-ARW/HERMESv2.0/CMAQ/BSC-DREAM8b) differing only by the vertical allocation of point source emissions: i) using fixed vertical profiles based on the stack height of each facility and ii) using an hourly bottom-up calculations of effective emission heights. When using plume rise calculations, emissions are generally allocated to lower altitudes than when using the fixed vertical profiles, showing significant differences depending on source sector and air pollutant (up to 75% between estimated average effective emission heights). In terms of air quality, it is shown that hourly plume rise calculations lead to improved simulation of industrial SO2 concentrations, thus increasing modelled concentrations (1.4 mu g m(-3) increase in February, 1.5 mu g m(-3) increase in June) and reducing the model biases for both months (31.1% in February, 73.7% in June). The increase of SO2 concentrations leads to an increase of SO4-2 surface levels that varies according to the season and location (4.3% in February and 0.4% in June, on average). On the other hand, the impact on NO2 and PM10 concentrations is less significant, leading to average changes of a few mu g.m(3) at most (0.4 mu g m(-3) for NO2 and 0.2 mu g m(-3) for PM10). In order to maximize the precision of plume rise calculations, the use of stack parameters based on real-world data is mandatory. (C) 2014 Elsevier Ltd. All rights reserved.
dc.format.extent12 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
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.lcshAtmospheric aerosols -- Measurement
dc.subject.lcshAir quality -- Measurement -- Mathematical models
dc.subject.lcshAir -- Pollution -- Simulation methods
dc.subject.otherAir quality modelling
dc.subject.otherVertical distribution
dc.subject.otherVertical emission profiles
dc.subject.otherPoint source
dc.subject.otherPARTICULATE MATTER
dc.titleImplementation of plume rise and its impacts on emissions and air quality modelling
dc.subject.lemacAerosols atmosfèrics -- Mesurament
dc.subject.lemacAire -- Qualitat -- Mesurament -- Models matemàtics
dc.subject.lemacAire -- Contaminació -- Mètodes de simulació
dc.subject.lemacPartícules (Matèria)
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorGuevara, M.; Arevalo, G.; Soret, A.; Martinez, F.; Baldasano, J.
upcommons.citation.publicationNameAtmospheric environment

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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain