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dc.contributor.authorGrythe, Henrik
dc.contributor.authorLopez-Aparicio, Susana
dc.contributor.authorVogt, Matthias
dc.contributor.authorVo, Dam Thanh
dc.contributor.authorHak, Claudia
dc.contributor.authorHalse, Anne Karine
dc.contributor.authorHamer, Paul David
dc.contributor.authorSousa Santos, Gabriela
dc.date.accessioned2019-08-15T12:05:44Z
dc.date.available2019-08-15T12:05:44Z
dc.date.created2019-08-13T16:33:45Z
dc.date.issued2019
dc.identifier.citationAtmospheric Chemistry and Physics. 2019, 19 10217-10237.nb_NO
dc.identifier.issn1680-7316
dc.identifier.urihttp://hdl.handle.net/11250/2608512
dc.description.abstractWe present here emissions estimated from a newly developed emission model for residential wood combustion (RWC) at high spatial and temporal resolution, which we name the MetVed model. The model estimates hourly emissions resolved on a 250 m grid resolution for several compounds, including particulate matter (PM), black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs) in Norway for a 12-year period. The model uses novel input data and calculation methods that combine databases built with an unprecedented high level of detail and near-national coverage. The model establishes wood burning potential at the grid based on the dependencies between variables that influence emissions: i.e. outdoor temperature, number of and type and size of dwellings, type of available heating technologies, distribution of wood-based heating installations and their associated emission factors. RWC activity with a 1 h temporal profile was produced by combining heating degree day and hourly and weekday activity profiles reported by wood consumers in official statistics. This approach results in an improved characterisation of the spatio-temporal distribution of wood use, and subsequently of emissions, required for urban air quality assessments. Whereas most variables are calculated based on bottom-up approaches on a 250 m spatial grid, the MetVed model is set up to use official wood consumption at the county level and then distributes consumption to individual grids proportional to the physical traits of the residences within it. MetVed combines consumption with official emission factors that makes the emissions also upward scalable from the 250 m grid to the national level. The MetVed spatial distribution obtained was compared at the urban scale to other existing emissions at the same scale. The annual urban emissions, developed according to different spatial proxies, were found to have differences up to an order of magnitude. The MetVed total annual PM2.5 emissions in the urban domains compare well to emissions adjusted based on concentration measurements. In addition, hourly PM2.5 concentrations estimated by an Eulerian dispersion model using MetVed emissions were compared to measurements at air quality stations. Both hourly daily profiles and the seasonality of PM2.5 show a slight overestimation of PM2.5 levels. However, a comparison with black carbon from biomass burning and benzo(a)pyrene measurements indicates higher emissions during winter than that obtained by MetVed. The accuracy of urban emissions from RWC relies on the accuracy of the wood consumption (activity data), emission factors and the spatio-temporal distribution. While there are still knowledge gaps regarding emissions, MetVed represents a vast improvement in the spatial and temporal distribution of RWC.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe MetVed model: development and evaluation of emissions from residential wood combustion at high spatio-temporal resolution in Norwaynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© Author(s) 2019.nb_NO
dc.source.pagenumber10217-10237nb_NO
dc.source.volume19nb_NO
dc.source.journalAtmospheric Chemistry and Physicsnb_NO
dc.identifier.doi10.5194/acp-19-10217-2019
dc.identifier.cristin1715682
dc.relation.projectMiljødirektoratet: 201/8676nb_NO
dc.relation.projectNorges forskningsråd: 247884nb_NO
dc.relation.projectNordforsk: 75007nb_NO
cristin.unitcode7460,54,0,0
cristin.unitcode7460,60,0,0
cristin.unitnameBy og industri
cristin.unitnameMiljøkjemi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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