DOI: 10.1016/j.atmosenv.2014.08.008
Scopus记录号: 2-s2.0-84905649679
论文题名: The application of a multi-wavelength aethalometer to estimate iron dust and black carbon concentrations in the marine boundary layer of cape verde
作者: Fialho P ; , Cerqueira M ; , Pio C ; , Cardoso J ; , Nunes T ; , Custódio D ; , Alves C ; , Almeida S ; M ; , Almeida-Silva M ; , Reis M ; , Rocha F
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 97 起始页码: 136
结束页码: 143
语种: 英语
英文关键词: Aethalometer
; Black carbon
; Cape verde
; Iron dust
; Two-component model
Scopus关键词: Aerosols
; Dust
; Iron oxides
; Aethalometer
; Attenuation coefficient
; Black carbon
; Cape verde
; Correlation coefficient
; Instrumental neutron activation analysis
; Linear regression equation
; Two-component model
; Cape Verde
; Marine boundary layers
; Multiwavelength
; Iron
; black carbon
; carbon
; iron
; iron oxide
; iron oxide
; air sampling
; black carbon
; boundary layer
; concentration (composition)
; dust
; estimation method
; marine atmosphere
; particle size
; regression analysis
; size distribution
; wavelength
; aerosol
; atmospheric modeling
; environmental monitoring
; iron
; numerical model
; particulate matter
; aerosol
; aethalometer
; air filter
; air monitor
; air monitoring
; air pollution
; air sampler
; article
; atmospheric dispersion
; attenuation
; boundary layer
; Cape Verde
; concentration (parameters)
; controlled study
; dust
; linear regression analysis
; neutron activation analysis
; optics
; particle size
; particulate matter
; priority journal
; spectral sensitivity
; thermal analysis
; aerosol
; analytical equipment
; Article
; desorption
; infrared spectrophotometry
; limit of detection
; marine environment
; mineral dust
; multi wavelength aethalometer
; oxidation
; time series analysis
; Cape Verde [Macaronesia]
; Praia
; Sao Tiago
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: The two-component model (Fialho etal., 2006) was used to decouple the contributions of black carbon (BC) and iron oxides, present in dust, to the aerosol attenuation coefficient, measured with a multi-wavelength Aethalometer. The model results were compared with the elemental carbon (EC) and iron concentrations determined in the laboratory from the analysis of aerosol particles collected with conventional samplers. The comparison was based on one year of data obtained at Praia, Santiago Island, Cape Verde, after side by side operation of the aerosol monitoring instruments. The linear regression equation that best describes the relationship between BC concentrations, derived from the Aethalometer, and EC concentrations, derived from a PM10 high-volume sampler after filter analysis with a thermal optical method, presents a slope of 1.01±0.05 and a correlation coefficient (r) of 0.90, showing that the model worked as intended to describe BC concentrations without interferences from iron dust. On the other hand, the linear regression equation that best describes the relationship between the iron concentrations derived from the Aethalometer and elemental iron concentrations, derived from a PM10 low-volume sampler after filter analysis by k0 - Instrumental Neutron Activation Analysis, presents a slope of 0.495±0.014 and a correlation coefficient (r) of 0.96. These results show that the two-component model underestimated the iron concentrations in dust aerosol, which was explained by differences in the size range of particles sampled with the Aethalometer and the PM10 low-volume sampler together with differences in the size distribution of iron oxides. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81121
Appears in Collections: 气候变化事实与影响
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作者单位: University of Azores, Rua Capitão João de Ávila, PT9700-042 Angra do Heroísmo, Portugal; Department of Environment and Planning and CESAM, University of Aveiro, 3810-193 Aveiro, Portugal; University of Cape Verde, Campus do Palmarejo, CP-279 Praia, Cape Verde; Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, 2695-066 Bobadela LRS, Portugal; Department of Geosciences, GeoBioTec - GeoBioSciences, Geotechnologies and Geoengineering Research Center, University of Aveiro, 3810-193 Aveiro, Portugal
Recommended Citation:
Fialho P,, Cerqueira M,, Pio C,et al. The application of a multi-wavelength aethalometer to estimate iron dust and black carbon concentrations in the marine boundary layer of cape verde[J]. Atmospheric Environment,2014-01-01,97