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HERO ID
2214144
Reference Type
Journal Article
Title
Influence of organic and inorganic markers in the source apportionment of airborne PM10 in Zaragoza (Spain) by two receptor models
Author(s)
Callen, MS; Lopez, JM; Mastral, AM
Year
2013
Is Peer Reviewed?
Yes
Journal
Environmental Science and Pollution Research
ISSN:
0944-1344
EISSN:
1614-7499
Volume
20
Issue
5
Page Numbers
3240-3251
Language
English
PMID
23089955
DOI
10.1007/s11356-012-1241-1
Web of Science Id
WOS:000318175400053
Abstract
Improving knowledge on the apportionment of airborne particulate matter will be useful to handle and fulfill the legislation regarding this pollutant. The main aim of this work was to assess the influence of markers in the source apportionment of airborne PM10, in particular, whether the use of particle polycyclic aromatic hydrocarbon (PAH) and ions provided similar results to the ones obtained using not only the mentioned markers but also gas phase PAH and trace elements. In order to reach this aim, two receptor models: UNMIX and positive matrix factorization were applied to two sets of data in Zaragoza city from airborne PM10, a previously reported campaign (2003-2004) (Callén et al. Chemosphere 76:1120-1129, 2009), where PAH associated to the gas and particle phases, ions and trace elements were used as markers and a long sampling campaign (2001-2009), where only PAH in the particle phase and ions were analyzed. For both campaigns, positive matrix factorization was able to explain a higher number of sources than the UNMIX model. Independently of the sampling campaign and the receptor model used, soil resuspension was the main PM10 source, especially in the warm period (21st March-21st September), where most of the PM10 exceedances were produced. Despite some of the markers of anthropogenic sources were different for both campaigns, common sources associated to different combustion sources (coal, light-oil, heavier-oil, biomass, and traffic) were found and PAH in particle phase and ions seemed to be good markers for the airborne PM10 apportionment.
Keywords
PM10; PAH; Ions; Receptor model; UNMIX; PMF; Air pollution; Source apportionment
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