PM10 source apportionment in Milan (Italy) using time-resolved data

被引：97

作者：

Bernardoni, Vera ^{[1
,2
]}

Vecchi, Roberta ^{[1
,2
]}

Valli, Gianluigi ^{[1
,2
]}

Piazzalunga, Andrea ^{[3
]}

Fermo, Paola ^{[4
]}

机构：

[1] Univ Milan, Dept Phys, I-20133 Milan, Italy

[2] INFN Milan, I-20133 Milan, Italy

[3] Univ Milano Bicocca, Dept Environm & Terr Sci, I-20126 Milan, Italy

[4] Univ Milan, Dept Inorgan Metallorgan & Analyt Chem, I-20133 Milan, Italy

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2011年 / 409卷 / 22期

关键词：

PM10; Emission sources; PMF; 4-hour resolved source apportionment; Wood burning contribution; POSITIVE MATRIX FACTORIZATION; PARTICULATE MATTER; ELEMENTAL COMPOSITION; ATMOSPHERIC AEROSOL; FINE; URBAN; PM2.5; IDENTIFICATION; LEVOGLUCOSAN; IMPACT;

D O I：

10.1016/j.scitotenv.2011.07.048

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this work Positive Matrix Factorization (PMF) was applied to 4-hour resolved PM10 data collected in Milan (Italy) during summer and winter 2006. PM10 characterisation included elements (Mg-Pb), main inorganic ions (NH4+, NO3- SO42-), levoglucosan and its isomers (mannosan and galactosan), and organic and elemental carbon (OC and EC). PMF resolved seven factors that were assigned to construction works, re-suspended dust, secondary sulphate, traffic, industry, secondary nitrate, and wood burning. Multi Linear Regression was applied to obtain the PM10 source apportionment. The 4-hour temporal resolution allowed the estimation of the factor contributions during peculiar episodes, which would have not been detected with the traditional 24-hour sampling strategy. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：4788 / 4795

页数：8

共 37 条

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