Predicting hygroscopic growth using single particle chemical composition estimates
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Autor:innen
Healy, Robert M.
Evans, Greg J.
Murphy, Michael
Jurányi, Zsófia
Tritscher, Torsten
Laborde, Marie
Poulain, Laurent
Kamilli, Katharina A.
Autor:in (Körperschaft)
Publikationsdatum
2014
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Journal of Geophysical Research: Atmospheres
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
119
Ausgabe / Nummer
15
Seiten / Dauer
9567-9577
Patentnummer
Verlag / Herausgebende Institution
Wiley
Verlagsort / Veranstaltungsort
Weinheim
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Single particle mass spectral data, collected in Paris, France, have been used to predict hygroscopic growth at the single particle level. The mass fractions of black carbon, organic aerosol, ammonium, nitrate, and sulphate present in each particle were estimated using a combination of single particle mass spectrometer and bulk aerosol chemical composition measurements. The Zdanovskii‐Stokes‐Robinson (ZSR) approach was then applied to predict hygroscopic growth factors based on these mass fraction estimates. Smaller particles with high black carbon mass fractions and low inorganic ion mass fractions exhibited the lowest predicted growth factors, while larger particles with high inorganic ion mass fractions exhibited the highest growth factors. Growth factors were calculated for subsaturated relative humidity (90%) to enable comparison with hygroscopic tandem differential mobility analyzer measurements. Mean predicted and measured hygroscopic growth factors for 110, 165, and 265 nm particles were found to agree within 6%. Single particle‐based ZSR hygroscopicity estimates offer an advantage over bulk aerosol composition‐based hygroscopicity estimates by providing additional chemical mixing state information. External mixing can be determined for particles of a given diameter through examination of the predicted hygroscopic growth factor distributions. Using this approach, 110 nm and 265 nm particles were found to be predominantly internally mixed; however, external mixing of 165 nm particles was observed periodically when thinly coated and thickly coated black carbon particles were simultaneously detected. Single particle‐resolved chemical information will be useful for modeling efforts aimed at constraining cloud condensation nuclei activity and hygroscopic growth.
Schlagwörter
Fachgebiet (DDC)
550 - Geowissenschaften
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
2169-897X
2169-8996
2169-8996
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Nein
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
HEALY, Robert M., Greg J. EVANS, Michael MURPHY, Zsófia JURÁNYI, Torsten TRITSCHER, Marie LABORDE, Ernest WEINGARTNER, Martin GYSEL, Laurent POULAIN, Katharina A. KAMILLI, Alfred WIEDENSOHLER, Ian P. O’CONNOR, Eoin MCGILLICUDDY, John R. SODEAU und John C. WENGER, 2014. Predicting hygroscopic growth using single particle chemical composition estimates. Journal of Geophysical Research: Atmospheres. 2014. Bd. 119, Nr. 15, S. 9567–9577. DOI 10.1002/2014jd021888. Verfügbar unter: https://irf.fhnw.ch/handle/11654/44320