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Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry

Shen, Xiaoli 1,2; Saathoff, Harald ORCID iD icon 2; Huang, Wei 1,2; Mohr, Claudia 2; Ramisetty, Ramakrishna 2; Leisner, Thomas ORCID iD icon 2
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

Single-particle mass spectrometry (SPMS) is a widely used tool to determine chemical composition and mixing state of aerosol particles in the atmosphere. During a 6-week field campaign in summer 2016 at a rural site in the upper Rhine valley, near the city of Karlsruhe in southwest Germany, ∼3.7×10$^{5}$ single particles were analysed using a laser ablation aerosol particle time-of-flight mass spectrometer (LAAPTOF). Combining fuzzy classification, marker peaks, typical peak ratios, and laboratory-based reference spectra, seven major particle classes were identified. With the precise particle identification and well-characterized laboratory-derived overall detection efficiency (ODE) for this instrument, particle similarity can be transferred into corrected number and mass fractions without the need of a reference instrument in the field. Considering the entire measurement period, aged-biomass-burning and soil-dust-like particles dominated the particle number (45.0 % number fraction) and mass (31.8 % mass fraction); sodium-salt-like particles were the second lowest in number (3.4 %) but the second dominating class in terms of particle mass (30.1 %). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000094698
Veröffentlicht am 07.06.2019
Originalveröffentlichung
DOI: 10.5194/amt-12-2219-2019
Scopus
Zitationen: 20
Web of Science
Zitationen: 18
Dimensions
Zitationen: 24
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000094698
HGF-Programm 12.03.03 (POF III, LK 01) Gas to particle conversion
Erschienen in Atmospheric measurement techniques
Verlag Copernicus Publications
Band 12
Heft 4
Seiten 2219-2240
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Nachgewiesen in Web of Science
Scopus
Dimensions
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