TY - GEN
T1 - Modelling Organic Aerosol in Europe
T2 - 36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018
AU - Jiang, Jianhui
AU - Aksoyoglu, Sebnem
AU - El Haddad, Imad
AU - Ciarelli, Giancarlo
AU - Oikonomakis, Emmanouil
AU - Denier van der Gon, Hugo A.C.
AU - Prévôt, André S.H.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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, whole-year (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 modified VBS scheme improved the model performance on OA simulation during the whole period by reducing the bias between model and measurements by up to 52%. The OA concentrations were dominated by biomass burning in winter, while biogenic emissions were the main sources in summer. The contribution of road traffic was relatively lower compared to studies in the USA. The contribution of new gasoline and diesel vehicles (after Euro IV emission standards or equipped with diesel particle filters) to the total OA was negligible.
AB - 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, whole-year (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 modified VBS scheme improved the model performance on OA simulation during the whole period by reducing the bias between model and measurements by up to 52%. The OA concentrations were dominated by biomass burning in winter, while biogenic emissions were the main sources in summer. The contribution of road traffic was relatively lower compared to studies in the USA. The contribution of new gasoline and diesel vehicles (after Euro IV emission standards or equipped with diesel particle filters) to the total OA was negligible.
KW - CAMx
KW - Organic aerosol
KW - Source apportionment
KW - Volatility basis set
UR - https://www.scopus.com/pages/publications/85076726987
U2 - 10.1007/978-3-030-22055-6_61
DO - 10.1007/978-3-030-22055-6_61
M3 - 会议稿件
AN - SCOPUS:85076726987
SN - 9783030220549
T3 - Springer Proceedings in Complexity
SP - 383
EP - 388
BT - Air Pollution Modeling and its Application XXVI
A2 - Mensink, Clemens
A2 - Gong, Wanmin
A2 - Hakami, Amir
PB - Springer
Y2 - 14 May 2018 through 18 May 2018
ER -