Literature DB >> 14630417

Source apportionment of PM10 and PM2.5 in Milan (Italy) using receptor modelling.

G M Marcazzan1, M Ceriani, G Valli, R Vecchi.   

Abstract

In this paper a source apportionment of particulate matter pollution in the urban area of Milan (Italy) is given. Results of PM10 and PM2.5 mass and elemental concentrations from a 1-year monitoring campaign are presented. Mean annual and daily PM10 levels are compared with the limits of the EU Air Quality Directive EC/30/1999 and the results show that the limit values established would not be met in the urban area of Milan or the large surrounding area. Moreover, high levels of PM2.5 are registered and this fraction constitutes a high portion of the PM10 mass. In Milan the winter period is characterised by a high degree of air pollution due to a greater contribution of emissions and to adverse meteorological and thermodynamic conditions of the atmosphere. The application of multivariate techniques and receptor modelling (PCFA, APCFA) to the whole data-set led to the identification of the main emitting sources and to the source apportionment of PM10 and PM2.5 in Milan. The most important sources were identified as 'soil dust', 'traffic', 'industry' and 'secondary compounds' for PM10 and as 'soil dust', 'anthropogenic' and 'secondary compounds' for PM2.5, explaining the greatest part of the total variance (91% and 75%, respectively).

Year:  2003        PMID: 14630417     DOI: 10.1016/S0048-9697(03)00368-1

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  15 in total

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7.  Source apportionment and location by selective wind sampling and Positive Matrix Factorization.

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9.  Particulate matter from Saudi Arabia induces genes involved in inflammation, metabolic syndrome and atherosclerosis.

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10.  Characterization, possible sources and health risk assessment of PM2.5-bound Heavy Metals in the most industrial city of Iran.

Authors:  Majid Kermani; Ahmad Jonidi Jafari; Mitra Gholami; Hossein Arfaeinia; Abbas Shahsavani; Farzad Fanaei
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