Details

Autor(en) / Beteiligte

• Bernardoni, Vera
• Vecchi, Roberta
• Valli, Gianluigi
• Piazzalunga, Andrea
• Fermo, Paola

Titel

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

Ist Teil von

• The Science of the total environment, 2011-10, Vol.409 (22), p.4788-4795

Ort / Verlag

Kidlington: Elsevier B.V

Erscheinungsjahr

2011

Quelle

MEDLINE

Beschreibungen/Notizen

• 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 (NH 4 +, NO 3 −, SO 4 2−), 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. ► PMF analysis on Milan data: contribution estimation of sources affecting the area. ► Levoglucosan and isomers amongst tracers: estimation of wood burning contribution. ► Source apportionment on 4-hour resolved data: analysis of peculiar episodes.