DOI: 10.1016/j.atmosenv.2017.10.004
Scopus记录号: 2-s2.0-85031748441
论文题名: Investigating the role of chemical and physical processes on organic aerosol modelling with CAMx in the Po Valley during a winter episode
作者: Meroni A ; , Pirovano G ; , Gilardoni S ; , Lonati G ; , Colombi C ; , Gianelle V ; , Paglione M ; , Poluzzi V ; , Riva G ; M ; , Toppetti A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 171 起始页码: 126
结束页码: 142
语种: 英语
英文关键词: AMS
; CAMx
; Organic aerosol modelling
; Po Valley
; Positive matrix factorization
Scopus关键词: Americium
; Factorization
; Fossil fuels
; Fuels
; Landforms
; Particles (particulate matter)
; Urban growth
; CAMx
; Chemical and transport models
; Emission inventories
; Fossil fuel combustion
; Organic aerosol
; PO Valley
; Positive Matrix Factorization
; Secondary organic aerosols
; Aerosols
; fossil fuel
; volatile organic compound
; aerosol
; aerosol composition
; aerosol formation
; aging
; algorithm
; atmospheric modeling
; biomass burning
; combustion
; concentration (composition)
; emission inventory
; matrix
; numerical method
; organic compound
; particulate matter
; physicochemical property
; road transport
; traffic emission
; transport process
; volatile organic compound
; winter
; aerosol
; algorithm
; Article
; biomass
; Italy
; meteorology
; particulate matter
; physicochemical model
; pollution transport
; priority journal
; rural area
; suburban area
; urban area
; winter
; Italy
; Po Valley
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Traditional aerosol mechanisms underestimate the observed organic aerosol concentration, especially due to the lack of information on secondary organic aerosol (SOA) formation and processing. In this study we evaluate the chemical and transport model CAMx during a one-month in winter (February 2013) over a 5 km resolution domain, covering the whole Po valley (Northern Italy). This works aims at investigating the effects of chemical and physical atmospheric processing on modelling results and, in particular, to evaluate the CAMx sensitivity to organic aerosol (OA) modelling schemes: we will compare the recent 1.5D-VBS algorithm (CAMx-VBS) with the traditional Odum 2-product model (CAMx-SOAP). Additionally, the thorough diagnostic analysis of the reproduction of meteorology, precursors and aerosol components was intended to point put strength and weaknesses of the modelling system and address its improvement. Firstly, we evaluate model performance for criteria PM concentration. PM10 concentration was underestimated both by CAMx-SOAP and even more by CAMx-VBS, with the latter showing a bias ranging between −4.7 and −7.1 μg m−3. PM2.5 model performance was to some extent better than PM10, showing a mean bias ranging between −0.5 μg m−3 at rural sites and −5.5 μg m−3 at urban and suburban sites. CAMx performance for OA was clearly worse than for the other PM compounds (negative bias ranging between −40% and −75%). The comparisons of model results with OA sources (identified by PMF analysis) shows that the VBS scheme underestimates freshly emitted organic aerosol while SOAP overestimates. The VBS scheme correctly reproduces biomass burning (BBOA) contributions to primary OA concentrations (POA). In contrast VBS slightly underestimates the contribution from fossil-fuel combustion (HOA), indicating that POA emissions related to road transport are either underestimated or associated to higher volatility classes. The VBS scheme under-predictes the SOA too, but to a lesser extent than CAMx-SOAP. SOA underestimation can be related to corresponding underestimation of either aging processes or precursor emissions. This indicates that improvements in the emission inventories for semi- and intermediate-volatility organic compounds are needed for further progress in this area. Finally, the comparison between modelled and observed SOA sources points out the urgency to include processing of OA in particle water phase into SOA formation mechanisms, to reconcile model results and observations. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82183
Appears in Collections: 气候变化事实与影响
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作者单位: Dipartimento di Ingegneria Civile e Ambientale, Politecnico Milano, Milano, Italy; Ricerca sul Sistema Energetico RSE SpA, via Rubattino 54, Milano, Italy; Consiglio Nazionale della Ricerca - ISAT, Bologna, Italy; ARPA Lombardia, Settore Monitoraggi Ambientali, Milano, Italy; ARPAE Emilia-Romagna, CTR Aree Urbane, Bologna, Italy
Recommended Citation:
Meroni A,, Pirovano G,, Gilardoni S,et al. Investigating the role of chemical and physical processes on organic aerosol modelling with CAMx in the Po Valley during a winter episode[J]. Atmospheric Environment,2017-01-01,171