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Preprint
DOI: 10.5445/IR/1000087946
Veröffentlicht am 29.11.2018
Originalveröffentlichung
DOI: 10.5194/amt-2018-362

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

Shen, Xiaoli; Saathoff, Harald; Huang, Wei; Mohr, Claudia; Ramisetty, Ramakrishna; Leisner, Thomas

Abstract:
Single particle mass spectrometry (SPMS) is a useful, albeit not fully quantitative tool to determine chemical composition and mixing state of aerosol particles in the atmosphere. During a six-week field campaign in summer 2016 at a rural site in the upper Rhine valley near Karlsruhe city in southwest Germany, ~3.7 × 10⁵ single particles were analysed by 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 identification and well characterized overall detection efficiency (ODE) for this instrument, particle similarity can be transferred into corrected number fractions and further transferred into mass fractions. Considering the entire measurement period, “Potassium rich and aromatics coated dust” (class 5) dominated the particle number (46.5% number fraction) and mass (36.0% mass fraction); “Sodium salts like particles” (class 3) were the second lowest in number (3.5%), but the second dominating class in terms of particle mass (25.3%). This ... mehr


Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Institut für Meteorologie und Klimaforschung - Atmosphärische Aerosolforschung (IMK-AAF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1867-8610
URN: urn:nbn:de:swb:90-879466
KITopen-ID: 1000087946
Erschienen in Atmospheric measurement techniques discussions
Seiten 1–23
Vorab online veröffentlicht am 17.10.2018
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