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dc.contributor.authorYatkin, Sinan
dc.contributor.authorGerboles, Michel
dc.contributor.authorBorowiak, Annette
dc.contributor.authorDavila, Silvije
dc.contributor.authorSpinelle, Laurent
dc.contributor.authorBartonova, Alena
dc.contributor.authorDauge, Franck Rene
dc.contributor.authorSchneider, Philipp
dc.contributor.authorVan Poppel, Martine
dc.contributor.authorPeters, Jan
dc.contributor.authorMatheeussen, Christina
dc.contributor.authorSignorini, Marco
dc.date.accessioned2022-02-09T08:57:49Z
dc.date.available2022-02-09T08:57:49Z
dc.date.created2022-02-02T11:56:03Z
dc.date.issued2022
dc.identifier.citationAtmospheric Environment. 2022, 15, 118967.en_US
dc.identifier.issn1352-2310
dc.identifier.urihttps://hdl.handle.net/11250/2977899
dc.description.abstractThe modified Target Diagram (MTD) was developed to evaluate the performance of low-cost sensors (LCS) for air quality monitoring in comparison with reference methods by reporting relative expanded uncertainty and its contributors. An MTD provides several pieces of information, including compliance with regulation, sources of error and how to diminish them, completeness and validity of LCS calibration etc. It allows the user to examine the effect of selecting different regression types and residual fitting on the LCS measurement uncertainty. The ordinary least squared regression with fitted residuals and dynamic between reference analyser uncertainty rather than constant ones yielded more realistic LCS measurement uncertainty compared to other options. The MTD is a fast visual tool to extract several pieces of information on evaluation of any candidate method against reference method.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModified Target Diagram to check compliance of low-cost sensors with the Data Quality Objectives of the European air quality directiveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Authors. Published by Elsevier Ltd.en_US
dc.source.pagenumber10en_US
dc.source.volume15en_US
dc.source.journalAtmospheric Environmenten_US
dc.identifier.doi10.1016/j.atmosenv.2022.118967
dc.identifier.cristin1996890
dc.relation.projectNILU - Norsk institutt for luftforskning: 119135en_US
dc.source.articlenumber118967en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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