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| Titel |
Source-receptor relationships for speciated atmospheric mercury at the remote Experimental Lakes Area, northwestern Ontario, Canada |
| VerfasserIn |
I. Cheng, L. Zhang, P. Blanchard, J. A. Graydon, V. L. St. Louis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 12, no. 4 ; Nr. 12, no. 4 (2012-02-17), S.1903-1922 |
| Datensatznummer |
250010731
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| Publikation (Nr.) |
 copernicus.org/acp-12-1903-2012.pdf |
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| Zusammenfassung |
| Source-receptor relationships for speciated atmospheric
mercury measured at the Experimental Lakes Area (ELA), northwestern Ontario,
Canada were investigated using various receptor-based approaches. The data
used in this study include gaseous elemental mercury (GEM), mercury bound to
fine airborne particles (<2.5 μm) (PHg), reactive gaseous mercury
(RGM), major inorganic ions, sulphur dioxide, nitric acid gas, ozone, and
meteorological variables, all of which were measured between May 2005 and
December 2006. The source origins identified were related to transport of
industrial and combustion emissions (associated with elevated GEM),
photochemical production of RGM (associated with elevated RGM), road-salt
particles with absorption of gaseous Hg (associated with elevated PHg and
RGM), crustal/soil emissions, and background pollution. Back trajectory
modelling illustrated that a remote site, like ELA, is affected by distant
Hg point sources in Canada and the United States. The sources identified
from correlation analysis, principal components analysis and K-means cluster
analysis were generally consistent. The discrepancies between the K-means
and Hierarchical cluster analysis were the clusters related to transport of
industrial/combustion emissions, photochemical production of RGM, and
crustal/soil emissions. Although it was possible to assign the clusters to
these source origins, the trajectory plots for the Hierarchical clusters
were similar to some of the trajectories belonging to several K-means
clusters. This likely occurred because the variables indicative of transport
of industrial/combustion emissions were elevated in at least two or more of
the clusters, which means this Hg source was well-represented in the data. |
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