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dc.contributor.authorFisher, Bernard
dc.contributor.authorChemel, C.
dc.contributor.authorSokhi, Ranjeet
dc.contributor.authorTimmis, Roger
dc.date.accessioned2016-04-27T16:07:29Z
dc.date.available2016-04-27T16:07:29Z
dc.date.issued2016-01
dc.identifier.citationFisher , B , Chemel , C , Sokhi , R & Timmis , R 2016 , ' A risk based application of the regional model CMAQ to policy decisions ' , Atmospheric Pollution Research , vol. 7 , pp. 207-214 . https://doi.org/10.1016/j.apr.2015.09.004
dc.identifier.issn1309-1042
dc.identifier.otherPURE: 9472870
dc.identifier.otherPURE UUID: f8ae52e5-4c42-4441-9577-39d62332cd35
dc.identifier.otherRIS: urn:20A622971D574773314EC1520C83C47D
dc.identifier.otherScopus: 84961644632
dc.identifier.urihttp://hdl.handle.net/2299/17145
dc.description.abstractA risk based approach to assessing compliance with EU limit values is described, using the advanced chemical transport model CMAQ to determine the regional component of NO2 and particulate matter under various conditions over the UK. A new air quality data analysis retrieval tool AirDART is used to extract concentrations for selected areas of the country. Roadside concentrations in a street canyon are then calculated using a dispersion model. The two model calculations need to be combined to obtain concentrations in future years assuming appropriate changes in emission. To merge the local and regional contributions exactly requires assumptions regarding parameterisations and is computationally expensive. From a risk based viewpoint not every possible condition need be considered in order to make policy decisions. Instead future trends under typical conditions are estimated, allowing the direct effect of local action plans and of national measures to be assessed. The approach is applied to London, this being a worst case UK example, to demonstrate the procedure.en
dc.language.isoeng
dc.relation.ispartofAtmospheric Pollution Research
dc.subjectChemical transport model
dc.subjectCMAQ
dc.subjectData retrieval tool AirDART
dc.subjectAir quality management
dc.subjectRisk based decision making
dc.titleA risk based application of the regional model CMAQ to policy decisionsen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionAtmospheric Dynamics & Air Quality
dc.description.statusPeer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.apr.2015.09.004
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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