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| Titel |
Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach |
| VerfasserIn |
Y. Hu, S. Balachandran, J. E. Pachon, J. Baek, C. Ivey, H. Holmes, M. T. Odman, J. A. Mulholland, A. G. Russell |
| 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 ; 14, no. 11 ; Nr. 14, no. 11 (2014-06-04), S.5415-5431 |
| Datensatznummer |
250118766
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| Publikation (Nr.) |
 copernicus.org/acp-14-5415-2014.pdf |
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| Zusammenfassung |
| A hybrid fine particulate matter (PM2.5) source
apportionment approach based on a receptor model (RM) species balance and
species specific source impacts from a chemical transport model (CTM)
equipped with a sensitivity analysis tool is developed to provide
physically and chemically consistent relationships between source emissions
and receptor impacts. This hybrid approach enhances RM results by providing
initial estimates of source impacts from a much larger number of sources
than are typically used in RMs, and provides source–receptor relationships
for secondary species. Further, the method addresses issues of source
collinearities and accounts for emissions uncertainties. We apply this
hybrid approach to conduct PM2.5 source apportionment at Chemical
Speciation Network (CSN) sites across the US. Ambient PM2.5
concentrations at these receptor sites were apportioned to 33 separate
sources. Hybrid method results led to large changes of impacts from CTM
estimates for sources such as dust, woodstoves, and other biomass-burning
sources, but limited changes to others. The refinements reduced the
differences between CTM-simulated and observed concentrations of individual
PM2.5 species by over 98% when using a weighted least-squares error
minimization. The rankings of source impacts changed from the initial
estimates, further demonstrating that CTM-only results should be evaluated
with observations. Assessment with RM results at six US locations showed
that the hybrid results differ somewhat from commonly resolved sources. The
hybrid method also resolved sources that typical RM methods do not capture
without extra measurement information for unique tracers. The method can be
readily applied to large domains and long (such as multi-annual) time
periods to provide source impact estimates for management- and
health-related studies. |
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