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dc.contributor.authorALBRECHT DANIELen_GB
dc.contributor.authorMARA THIERRYen_GB
dc.contributor.authorPISONI ENRICOen_GB
dc.contributor.authorROSATI ROSSANAen_GB
dc.contributor.authorTARANTOLA STEFANOen_GB
dc.date.accessioned2018-12-19T01:13:04Z-
dc.date.available2018-12-18en_GB
dc.date.available2018-12-19T01:13:04Z-
dc.date.created2018-12-06en_GB
dc.date.issued2018en_GB
dc.date.submitted2018-01-26en_GB
dc.identifier.isbn978-92-79-79935-8 (pdf)en_GB
dc.identifier.issn1831-9424 (online)en_GB
dc.identifier.otherEUR 29122 ENen_GB
dc.identifier.otherOP KJ-NA-29122-EN-N (online)en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC110322-
dc.description.abstractUncertainty and sensitivity analysis was conducted on the SHERPA model, predicting air quality improvement linked to emission reduction scenarios. Major responsible of output uncertainty (PM2.5 concentration reductions in g/m3) stems from the uncertainty in the policy options followed by the uncertainty in the emissions (kTon/year) of PPM, NOX, and NH3.en_GB
dc.description.sponsorshipJRC.I.1-Modelling, Indicators and Impact Evaluationen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherPublications Office of the European Unionen_GB
dc.relation.ispartofseriesJRC110322en_GB
dc.titleSensitivity Analysis of the SHERPA Air Quality Modelen_GB
dc.typeEUR - Scientific and Technical Research Reportsen_GB
dc.identifier.doi10.2760/78023 (online)en_GB
JRC Directorate:Joint Research Centre Corporate Activities

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