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Titel
Interpretation of NMVOC concentration measurements by PTR-QiTOFMS using non-negative matrix factorization / by Veronika Baumann
VerfasserBaumann, Veronika
Betreuer / BetreuerinnenKarl, Thomas
ErschienenInnsbruck, June 2018
Umfangiv, 66 Seiten : Illustrationen, Diagramme
HochschulschriftUniversity of Innsbruck, Masterarbeit, 2018
Datum der AbgabeJuni 2018
SpracheEnglisch
DokumenttypMasterarbeit
Schlagwörter (DE)NMVOC / NMF / non-negative matrix factorization / PTR-MS / PTR-QiTOF
URNurn:nbn:at:at-ubi:1-22548 Persistent Identifier (URN)
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 Das Werk ist frei verfügbar
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Interpretation of NMVOC concentration measurements by PTR-QiTOFMS using non-negative matrix factorization [5.95 mb]
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Zusammenfassung (Englisch)

In fall 2014 non methane volatile organic compound (NMVOC) concentrations were measured with a PTR QiTOF mass spectrometer at the University of Innsbruck (Austria) over a period of 55 days. 138 NMVOCs were used to perform nonnegative matrix factorization (NMF). The Goal was to find out whether the resulting factors could be assigned to chemical sources, and more specifically whether biogenic and anthropogenic sources can be separated by the method. Ancillary data from an automatic weather station near the sampling site, as well as a foehn Event classification were used to identify potential sources depending on meteorological constraints. It was determined that six NMF factors could describe the variability of the entire NMVOC dataset reasonably well. It was determined that six NMF factors could describe the variability of the entire NMVOC dataset reasonably well. It was possible to identify very localized sources (e.g. venting air outlets from laboratories within the building). Meteorological data, especially days with foehn proved useful to allocate a factor to the clinic area south of the university building. However, biogenic and anthropogenic sources could not be separated completely, owing to the similar diurnal variations of some biogenic and traffic related emissions.

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