DOI: 10.1016/j.atmosenv.2014.05.039
Scopus记录号: 2-s2.0-84901323757
论文题名: An integrated PM2.5 source apportionment study: Positive Matrix Factorisation vs. the chemical transport model CAMx
作者: Bove M ; C ; , Brotto P ; , Cassola F ; , Cuccia E ; , Massabò D ; , Mazzino A ; , Piazzalunga A ; , Prati P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 94 起始页码: 274
结束页码: 286
语种: 英语
英文关键词: Chemical transport models
; Receptor models
; Source apportionment
Scopus关键词: Air quality
; Factorization
; Matrix algebra
; Organic carbon
; Weather forecasting
; Air quality modelling system
; Chemical transport models
; Numerical weather prediction models
; Organic and elemental carbon
; Pollutant concentration
; Positive matrix factorisation
; Receptor model
; Source apportionment
; Monte Carlo methods
; aluminum
; ammonia
; calcium
; carbon
; copper
; lead
; nitric acid derivative
; sulfate
; zinc
; aerosol composition
; aerosol formation
; air quality
; air sampling
; anthropogenic source
; atmospheric modeling
; atmospheric transport
; climate prediction
; fractionation
; integrated approach
; monitoring system
; particulate matter
; aerosol
; air pollutant
; air quality
; apportionment technique
; article
; chemical model
; chemical transport model
; combustion
; controlled study
; dust
; heavy oil combustion
; particulate matter
; positive matrix factorization
; prediction
; priority journal
; secondary organic aerosol
; time series analysis
; Genoa
; Genova
; Italy
; Liguria
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: Receptor and Chemical Transport Models are commonly used tools in source apportionment studies, even if different expertise is required. We describe an experiment using both approaches to apportion the PM2.5 (i.e., particulate matter with aerodynamic diameters below 2.5μm) sources in the city of Genoa (Italy). A sampling campaign was carried out to collect PM2.5 samples daily for approximately six month during 2011 in three sites. The subsequent compositional analyses included the speciation of elements, major ions and both organic and elemental carbon; these data produced a large database for receptor modelling through Positive Matrix Factorisation (PMF). In the same period, a meteorological and air quality modelling system was implemented based on the mesoscale numerical weather prediction model WRF and the chemical transport model CAMx to obtain meteorological and pollutant concentrations up to a resolution of 1.1km. The source apportionment was evaluated by CAMx over the same period that was used for the monitoring campaign using the Particulate Source Apportionment Technology tool. Even if the source categorisations were changed (i.e., groups of time-correlated compounds in PMF vs. activity categories in CAMx), the PM2.5 source apportionment by PMF and CAMx produced comparable results. The different information provided by the two approaches (e.g., real-world factor profile by PMF and apportionment of a secondary aerosol by CAMx) was used jointly to elucidate the composition and origin of PM2.5 and to develop a more general methodology. When studying the primary and secondary components of PM, the main anthropogenic sources in the area were road transportation, energy production/industry and maritime emissions, accounting for 40%-50%, 20%-30% and 10%-15%, of PM2.5, respectively. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81323
Appears in Collections: 气候变化事实与影响
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作者单位: Dept. of Physics and INFN, University of Genoa, via Dodecaneso 33, 16146 Genoa, Italy; Dept. of Environmental and Territorial Sciences, Università degli Studi di Milano-Bicocca, Piazza della Scienza 1, 20122 Milan, Italy
Recommended Citation:
Bove M,C,, Brotto P,et al. An integrated PM2.5 source apportionment study: Positive Matrix Factorisation vs. the chemical transport model CAMx[J]. Atmospheric Environment,2014-01-01,94