Chapter 61
Modelling Organic Aerosol in Europe:
Improved CAMx and Contribution
of Anthropogenic and Biogenic Sources
Jianhui Jiang, Sebnem Aksoyoglu, Imad El Haddad, Giancarlo Ciarelli,
Emmanouil Oikonomakis, Hugo A. C. Denier van der Gon
and André S. H. Prévôt
Abstract Chemical transport model (CTM) simulation of organic aerosol (OA) is
always challenged by numerous sources and complicated formation processes of
secondary organic aerosol. In this study, we conducted a source-specific, wholeyear (2011) simulation of organic aerosol in Europe using the air quality model
CAMx v6.3 with volatility basis set (VBS) scheme after implementing new findings from experimental studies. The VBS module was parameterized based on
the latest data for gasoline and diesel vehicles and wood combustion from the
smog-chamber experiments. The model performance was evaluated using OA measurements from the ACSM (Aerodyne Chemical Speciation Monitor) and AMS
(Aerodyne Aerosol Mass Spectrometer) network and contributions from 6 different anthropogenic (gasoline and diesel vehicles with old or new technologies,
biomass burning, and other sources (OP)) and biogenic sources were estimated. The
J. Jiang (B) · S. Aksoyoglu · I. El Haddad · E. Oikonomakis · A. S. H. Prévôt
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
e-mail: jianhui.jiang@psi.ch
S. Aksoyoglu
e-mail: sebnem.aksoyoglu@psi.ch
I. El Haddad
e-mail: imad.el-haddad@psi.ch
E. Oikonomakis
e-mail: emmanouil.oikonomakis@psi.ch
A. S. H. Prévôt
e-mail: andre.prevot@psi.ch
G. Ciarelli
Laboratoire Inter-Universitaire Des Systèmes Atmosphériques (LISA),
Institut Pierre Simon Laplace, UMR CNRS 7583, Université Paris Est Créteil
et Université Paris Diderot, Créteil, France
e-mail: giancarlo.ciarelli@lisa.u-pec.fr
H. A. C. Denier van der Gon
Department of Climate, Air and Sustainability, TNO, Utrecht, The Netherlands
e-mail: hugo.deniervandergon@tno.nl
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_61
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