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dc.contributor.authorSingh, V.
dc.contributor.authorCarnevale, C.
dc.contributor.authorFinzi, G.
dc.contributor.authorPisoni, E.
dc.contributor.authorVolta, M.
dc.date.accessioned2013-04-24T14:50:03Z
dc.date.available2013-04-24T14:50:03Z
dc.date.issued2011-06-01
dc.identifier.citationSingh , V , Carnevale , C , Finzi , G , Pisoni , E & Volta , M 2011 , ' A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations ' , Environmental Modelling and Software , vol. 26 , no. 6 , pp. 778-786 . https://doi.org/10.1016/j.envsoft.2010.11.014
dc.identifier.issn1364-8152
dc.identifier.otherPURE: 1443277
dc.identifier.otherPURE UUID: ec922104-218a-4c01-a519-6f31813026df
dc.identifier.otherScopus: 79951727206
dc.identifier.urihttp://hdl.handle.net/2299/10515
dc.descriptionCopyright 2011 Elsevier B.V., All rights reserved.
dc.description.abstractOne of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europeen
dc.format.extent9
dc.language.isoeng
dc.relation.ispartofEnvironmental Modelling and Software
dc.titleA cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulationsen
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=79951727206&partnerID=8YFLogxK
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.envsoft.2010.11.014
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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