Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-19-11235-2019 |
Exploiting multi-wavelength aerosol absorption coefficients in a multi-time resolution source apportionment study to retrieve source-dependent absorption parameters | |
Forello, Alice Corina1,2; Bernardoni, Vera1,2; Calzolai, Giulia3,4; Lucarelli, Franco3,4; Massabo, Dario5,6; Nava, Silvia3,4; Pileci, Rosaria Erika1,2,7; Prati, Paolo5,6; Valentini, Sara1,2; Valli, Gianluigi1,2; Vecchi, Roberta1,2 | |
2019-09-05 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2019 |
卷号 | 19期号:17页码:11235-11252 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; Switzerland |
英文摘要 | In this paper, a new methodology coupling aerosol optical and chemical parameters in the same source apportionment study is reported. In addition to results on source contributions, this approach provides information such as estimates for the atmospheric absorption Angstrom exponent (alpha) of the sources and mass absorption cross sections (MACs) for fossil fuel emissions at different wavelengths. A multi-time resolution source apportionment study using the Multilinear Engine (ME-2) was performed on a PM10 dataset with different time resolutions (24, 12, and 1 h) collected during two different seasons in Milan (Italy) in 2016. Samples were optically analysed by an in-house polar photometer to retrieve the aerosol absorption coefficient b(ap) (in Mm 1) at four wavelengths (lambda = 405, 532, 635, and 780 nm) and were chemically characterized for elements, ions, levoglucosan, and carbonaceous components. The dataset joining chemically speciated and optical data was the input for the multi-time resolution receptor model; this approach was proven to strengthen the identification of sources, thus being particularly useful when important chemical markers (e.g. levoglucosan, elemental carbon) are not available. The final solution consisted of eight factors (nitrate, sulfate, resuspended dust, biomass burning, construction works, traffic, industry, aged sea salt); the implemented constraints led to a better physical description of factors and the bootstrap analysis supported the goodness of the solution. As for b(ap) apportionment, consistent with what was expected, biomass burning and traffic were the main contributors to aerosol absorption in the atmosphere. A relevant feature of the approach proposed in this work is the possibility of retrieving a lot of other information about optical parameters; for example, in contrast to the more traditional approach used by optical source apportionment models, here we obtained source-dependent alpha values without any a priori assumption (alpha biomass burning = 1:83 and alpha fossil fuels = 0:80). In addition, the MACs estimated for fossil fuel emissions were consistent with literature values. It is worth noting that the approach presented here can also be applied using more common receptor models (e.g. EPA PMF instead of multi-time resolution ME-2) if the dataset comprises variables with the same time resolution as well as optical data retrieved by widespread instrumentation (e.g. an Aethalometer instead of in-house instrumentation). |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000484490100001 |
WOS关键词 | POSITIVE MATRIX FACTORIZATION ; PARTICULATE MATTER ; LIGHT-ABSORPTION ; BLACK CARBON ; URBAN AREA ; ELEMENTAL COMPOSITION ; ORGANIC AEROSOL ; BROWN CARBON ; ATMOSPHERIC DISPERSION ; CHEMICAL-COMPOSITION |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/186934 |
专题 | 地球科学 |
作者单位 | 1.Univ Milan, Dept Phys, Via Celoria 16, I-20133 Milan, Italy; 2.Natl Inst Nucl Phys INFN Milan, Via Celoria 16, I-20133 Milan, Italy; 3.Univ Firenze, Dept Phys & Astron, Via G Sansone 1, I-50019 Sesto Fiorentino, Italy; 4.Natl Inst Nucl Phys INFN Florence, Via G Sansone 1, I-50019 Sesto Fiorentino, Italy; 5.Univ Genoa, Dept Phys, Via Dodecaneso 33, I-16146 Genoa, Italy; 6.Natl Inst Nucl Phys INFN Genoa, Via Dodecaneso 33, I-16146 Genoa, Italy; 7.PSI, LAC, Forsch Str 111, CH-5232 Villigen, Switzerland |
推荐引用方式 GB/T 7714 | Forello, Alice Corina,Bernardoni, Vera,Calzolai, Giulia,et al. Exploiting multi-wavelength aerosol absorption coefficients in a multi-time resolution source apportionment study to retrieve source-dependent absorption parameters[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(17):11235-11252. |
APA | Forello, Alice Corina.,Bernardoni, Vera.,Calzolai, Giulia.,Lucarelli, Franco.,Massabo, Dario.,...&Vecchi, Roberta.(2019).Exploiting multi-wavelength aerosol absorption coefficients in a multi-time resolution source apportionment study to retrieve source-dependent absorption parameters.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(17),11235-11252. |
MLA | Forello, Alice Corina,et al."Exploiting multi-wavelength aerosol absorption coefficients in a multi-time resolution source apportionment study to retrieve source-dependent absorption parameters".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.17(2019):11235-11252. |
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