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dc.contributor.authorCLAPPIER ALAINen_GB
dc.contributor.authorBELIS CLAUDIOen_GB
dc.contributor.authorPERNIGOTTI DENISEen_GB
dc.contributor.authorTHUNIS PHILIPPEen_GB
dc.date.accessioned2017-11-30T01:17:47Z-
dc.date.available2017-11-28en_GB
dc.date.available2017-11-30T01:17:47Z-
dc.date.created2017-11-27en_GB
dc.date.issued2017en_GB
dc.date.submitted2017-07-04en_GB
dc.identifier.citationGEOSCIENTIFIC MODEL DEVELOPMENT vol. 10 no. 11 p. 4245-4256en_GB
dc.identifier.issn1991-959Xen_GB
dc.identifier.urihttps://www.geosci-model-dev.net/10/4245/2017/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC107364-
dc.description.abstractThis work reviews the existing methodologies for source apportionment and sensitivity analysis to identify key differences and stress their implicit limitations. The emphasis is laid on the differences between source “impacts” (sensitivity analysis) and “contributions” (source apportionment) obtained by using four different methodologies: brute-force top-down, brute-force bottom-up, tagged species and decoupled direct method (DDM). A simple theoretical example to compare these approaches is used highlighting differences and potential implications for policy. When the relationships between concentration and emissions are linear, impacts and contributions are equivalent concepts. In this case, source apportionment and sensitivity analysis may be used indifferently for both air quality planning purposes and quantifying source contributions. However, this study demonstrates that when the relationship between emissions and concentrations is nonlinear, sensitivity approaches are not suitable to retrieve source contributions and source apportionment methods are not appropriate to evaluate the impact of abatement strategies. A quantification of the potential nonlinearities should therefore be the first step prior to source apportionment or planning applications, to prevent any limitations in their use. When nonlinearity is mild, these limitations may, however, be acceptable in the context of the other uncertainties inherent to complex models. Moreover, when using sensitivity analysis for planning, it is important to note that, under nonlinear circumstances, the calculated impacts will only provide information for the exact conditions (e.g. emission reduction share) that are simulated.en_GB
dc.description.sponsorshipJRC.C.5-Air and Climateen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_GB
dc.relation.ispartofseriesJRC107364en_GB
dc.titleSource apportionment and sensitivity analysis: two methodologies with two different purposesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.5194/gmd-10-4245-2017en_GB
JRC Directorate:Energy, Transport and Climate

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