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| Titel |
Refractory black carbon mass concentrations in snow and ice: method evaluation and inter-comparison with elemental carbon measurement |
| VerfasserIn |
S. Lim, X. Faïn, M. Zanatta, J. Cozic, J.-L. Jaffrezo, P. Ginot, P. Laj |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 10 ; Nr. 7, no. 10 (2014-10-07), S.3307-3324 |
| Datensatznummer |
250115920
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| Publikation (Nr.) |
 copernicus.org/amt-7-3307-2014.pdf |
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| Zusammenfassung |
| Accurate measurement of black carbon (BC) mass concentrations in snow and
ice is crucial for the assessment of climatic impacts. However, it is
difficult to compare methods used to assess BC levels in the literature as
they are not the same. The single particle soot photometer (SP2) method
appears to be one of the most suitable to measure low concentrations of BC
in snow and ice. In this paper, we evaluated a method for the quantification
of refractory BC (rBC) in snow and ice samples coupling the SP2 with the
APEX-Q nebulizer. The paper reviews all the steps of rBC determination,
including SP2 calibration, correction for rBC particle aerosolization
efficiency (75 ± 7% using the APEX-Q nebulizer), and treatment of
the samples. In addition, we compare the SP2 method and the thermal–optical
method – Sunset organic carbon (OC) / elemental carbon (EC) aerosol analyzer
with EUSAAR2 protocol – using snow and firn samples with different
characteristics from the Greenland Summit, the French Alps, the Caucasus,
and the Himalayas. Careful investigation was undertaken of analytical
artifacts that potentially affect both methods. The SP2-based rBC
quantification may be underestimated when the SP2 detection range does not
cover correctly the existing size distribution of the sample.
Thermal–optical EC measurements can be underestimated by low filtration
efficiency of quartz fiber filter before analysis or dust properties (concentration and type), and
overestimated by pyrolyzed OC artifacts during EC analysis.
These results underline the need for careful assessment of the analytical
technique and procedure for correct data interpretation. |
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