Näytä suppeat kuvailutiedot

dc.contributor.authorLeinonen, Ville
dc.contributor.authorTiitta, Petri
dc.contributor.authorSippula, Olli
dc.contributor.authorCzech, Hendryk
dc.contributor.authorLeskinen, Ari
dc.contributor.authorIsokääntä, Sini
dc.contributor.authorKarvanen, Juha
dc.contributor.authorMikkonen, Santtu
dc.date.accessioned2022-12-15T08:34:21Z
dc.date.available2022-12-15T08:34:21Z
dc.date.issued2022
dc.identifier.citationLeinonen, V., Tiitta, P., Sippula, O., Czech, H., Leskinen, A., Isokääntä, S., Karvanen, J., & Mikkonen, S. (2022). Modeling atmospheric aging of small-scale wood combustion emissions : distinguishing causal effects from non-causal associations. <i>Environmental Science : Atmospheres</i>, <i>2</i>(6), 1551-1567. <a href="https://doi.org/10.1039/D2EA00048B" target="_blank">https://doi.org/10.1039/D2EA00048B</a>
dc.identifier.otherCONVID_164363297
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/84402
dc.description.abstractSmall-scale wood combustion is a significant source of particulate emissions. Atmospheric transformation of wood combustion emissions is a complex process involving multiple compounds interacting simultaneously. Thus, an advanced methodology is needed to study the process in order to gain a deeper understanding of the emissions. In this study, we are introducing a methodology for simplifying this complex process by detecting dependencies of observed compounds based on a measured dataset. A statistical model was fitted to describe the evolution of combustion emissions with a system of differential equations derived from the measured data. The performance of the model was evaluated using simulated and measured data showing the transformation process of small-scale wood combustion emissions. The model was able to reproduce the temporal evolution of the variables in reasonable agreement with both simulated and measured data. However, as measured emission data are complex due to multiple simultaneous interacting processes, it was not possible to conclude if all detected relationships between the variables were causal or if the variables were merely co-variant. This study provides a step toward a comprehensive, but simple, model describing the evolution of the total emissions during atmospheric aging in both gas and particle phases.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherRoyal Society of Chemistry (RSC)
dc.relation.ispartofseriesEnvironmental Science : Atmospheres
dc.rightsCC BY 4.0
dc.titleModeling atmospheric aging of small-scale wood combustion emissions : distinguishing causal effects from non-causal associations
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202212155657
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineStatisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1551-1567
dc.relation.issn2634-3606
dc.relation.numberinseries6
dc.relation.volume2
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Author(s). Published by the Royal Society of Chemistry
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311877
dc.subject.ysokausaliteetti
dc.subject.ysoaerosolit
dc.subject.ysoorgaaniset yhdisteet
dc.subject.ysotilastolliset mallit
dc.subject.ysopienhiukkaset
dc.subject.ysohiukkaspäästöt
dc.subject.ysoilmakemia
dc.subject.ysoilmanlaatu
dc.subject.ysopolttopuu
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p333
jyx.subject.urihttp://www.yso.fi/onto/yso/p9802
jyx.subject.urihttp://www.yso.fi/onto/yso/p3841
jyx.subject.urihttp://www.yso.fi/onto/yso/p26278
jyx.subject.urihttp://www.yso.fi/onto/yso/p7435
jyx.subject.urihttp://www.yso.fi/onto/yso/p26883
jyx.subject.urihttp://www.yso.fi/onto/yso/p26207
jyx.subject.urihttp://www.yso.fi/onto/yso/p5028
jyx.subject.urihttp://www.yso.fi/onto/yso/p2213
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1039/D2EA00048B
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramProfilointi, SAfi
jyx.fundinginformationThis work was supported by the Academy of Finland Centre of Excellence (grant no. 307331), Academy of Finland Flagship funding (grant no. 337550), the Academy of Finland Competitive funding to strengthen university research profiles (PROFI) for the University of Eastern Finland (grant no. 325022) and for the University of Jyväskylä (grant no. 311877) and the Nessling foundation. Data collection for this study has been partly funded by the European Union's 10 Horizon 2020 Research and Innovation Programme through the EUROCHAMP-2020 Infrastructure Activity (grant no. 730997). Funding sources have no involvement in study design, data analysis, or preparation of the manuscript.
dc.type.okmA1


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