@article{JRC104676,
	number = {KJ-NA-28510-EN-N},
	address = {Ispra (Italy)},
	issn = {1831-9424},
	year = {2016},
	author = {Karagulian F and Van Dingenen R and Belis C and Janssens-Maenhout G and Crippa M and Guizzardi D and Dentener F},
	isbn = {978-92-79-66599-8},
	publisher = {Publications Office of the European Union},
	abstract = {Outdoor air pollution – in particular fine particulate matter, PM2.5 - is a major issue of concern in the public health domain. Efficient control strategies require the understanding of the major sources contributing to the atmospheric PM2.5 burden. 
		This report performs for the first time a comparison between PM2.5 source apportionment results from in-situ point measurements, obtained from a screened literature review, and from global air quality modelling using in-house developed global source-receptor air quality model TM5-FASST. 
		Both experimental and numerical modelling techniques have been proven to provide valuable information on the emitting sectors contributing to ambient PM2.5.  JRC has specific expertise in the source attribution of in-situ measured PM2.5 composition at selected spots by well-established and validated source-apportionment techniques, as well as in the global and regional scale bottom-up modelling of PM2.5 levels and compounds, using sector-specific emission inventories as input. Both approaches address the issue of source apportionment, but from a completely different spatial scale and resolution. The global TM5-FASST model takes as input the EDGAR-HTAP V2 global air pollution emission inventory, separated by major economic sector, and computes corresponding pollutant concentrations by sector. The experimental source apportionment data are obtained with receptor modelling techniques applied on the observed in-situ chemical composition of PM2.5.
		The outcome of the global model shows that in macro-regions with the highest PM2.5 levels (China, India, Western Africa), residential burning is the major contributing sector whereas in western Europe this is the case for the agricultural sector, followed by road transport. 
		A comparison between the global model and regionally aggregated in-situ source apportionment results shows a reasonable agreement in the PM2.5 concentrations attributed to the industry sector. On the other hand, for the transport sector large discrepancies are found between the two methodologies. These discrepancies can be tentatively attributed to the different resolution at which the concentration levels are evaluated, and the limited spatial representativeness of some pollution hotspots for the in-situ measurements, but there may also be underlying uncertainties in emission inventories used as input for the global model. 
		},
	title = {Attribution of anthropogenic PM2.5 to emission sources: A global analysis of source-receptor model results and measured source-apportionment data},
	url = {},
	doi = {10.2760/344371}