Show simple item record

dc.contributor.authorGonçalves Ageitos, María
dc.contributor.authorDabdubd, D.
dc.contributor.authorChang, W.L.
dc.contributor.authorJorba Casellas, Oriol
dc.contributor.authorBaldasano Recio, José María
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.date.accessioned2012-04-11T10:49:27Z
dc.date.available2012-04-11T10:49:27Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationGonçalves, M. [et al.]. Impact of HONO sources on the performance of mesoscale air quality models. "Atmospheric environment", 2012, vol. 54, p. 168-176.
dc.identifier.issn1352-2310
dc.identifier.urihttp://hdl.handle.net/2117/15724
dc.description.abstractNitrous acid (HONO) photolysis constitutes a primary source of OH in the early morning, which leads to changes in model gas-phase and particulate matter concentrations. However, state-of-the-art models of chemical mechanisms share a common representation of gas-phase chemistry leading to HONO that fails in reproducing the observed profiles. Hence, there is a growing interest in improving the definition of additional HONO sources within air quality models, i.e. direct emissions or heterogeneous reactions. In order to test their feasibility under atmospheric conditions, the WRF-ARW/HERMES/CMAQ modeling system is applied with high horizontal resolution (4 4 km2) to Spain for November 24e27, 2008. HONO modeled sources include: (1) direct emissions from on-road transport; NO2 hydrolysis on aerosol and ground surfaces, the latter with (2) kinetics depending exclusively on available surfaces for reaction and (3) refined kinetics considering also relative humidity dependence; and (4) photoenhanced NO2 reduction on ground surfaces. The DOMINO measurement campaign performed in El Arenosillo (Southern Spain) provides valuable HONO observations. Modeled HONO results are consistently below observations, even when the most effective scenario is assessed, corresponding to contributions of direct emissions and NO2 hydrolysis with the simplest kinetics parameterization. With the additional sources of HONO, PM2.5 predictions can be up to 14% larger in urban areas. Quantified impacts on secondary pollutants have to be taken as a low threshold, due to the proven underestimation of HONO levels. It is fundamental to improve HONO sources definition within air quality models, both for the scientific community and decision makers.
dc.format.extent9 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::Enginyeria ambiental::Tractament d'emissions i olors
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Química del medi ambient::Química atmosfèrica
dc.subject.lcshAir quality management
dc.subject.lcshAir--Pollution
dc.subject.lcshEnvironmental chemistry
dc.subject.lcshAtmospheric nitrous oxide
dc.titleImpact of HONO sources on the performance of mesoscale air quality models
dc.typeArticle
dc.subject.lemacAire -- Qualitat
dc.subject.lemacAire -- Contaminació
dc.subject.lemacQuímica ambiental
dc.subject.lemacNitrificació
dc.contributor.groupUniversitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
dc.identifier.doi10.1016/j.atmosenv.2012.02.079
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac10216133
dc.description.versionPostprint (published version)
local.citation.authorGonçalves, M.; Dabdubd, D.; Chang, W.L.; Jorba, O.; Baldasano, J.
local.citation.publicationNameAtmospheric environment
local.citation.volume54
local.citation.startingPage168
local.citation.endingPage176


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

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