Levels, chemical composition and sources of fine aerosol particles (PM1) in an area of the Mediterranean basin.

Daily samples of fine aerosol particles (i.e., PM1, aerosol particles with an aerodynamic diameter less than 1.0mum) were collected in Tito Scalo - Southern Italy - from April 2006 to March 2007. Measurements were performed by means of a low-volume gravimetric sampler, and each PM1 sample was analyzed by means of Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) or Atomic Absorption Spectrometry (GFAAS and FAAS) techniques in order to determine its content in fourteen trace elements (Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Ti and Zn). During the period examined, PM1 daily concentrations ranged between 0.3microgm(-3) and 55microgm(-3) with a mean value of 8 microg m(-3), a standard deviation of 7microgm(-3) and a median value of 6microgm(-3). As far as PM1 chemical composition is concerned, the mean values of the trace element concentrations decreased in the following order: Ca>Fe>Al>Na>K>Cr>Mg>Pb>Ni approximately Ti approximately Zn>Cd approximately Cu>Mn. Principal Component Analysis (PCA) allowed the identification of three probable PM1 sources: industrial emissions, traffic and re-suspension of soil dust. Moreover, the results of a procedure applied to study the potential long-range transport contribution to PM1 chemical composition, showed that trace element concentrations do not seem to be affected by air mass origin and path. This was probably due to the strong impact of the local emission sources and the lack of the concentration measurements of some important elements and compounds that could better reveal the long-range transport influence on PM1 measurements at ground level.

[1]  Francesc Rocadenbosch,et al.  Cluster Analysis of 4-Day Back Trajectories Arriving in the Barcelona Area, Spain, from 1997 to 2002 , 2004 .

[2]  Christopher Yu Hang Chao,et al.  Residential indoor PM10 and PM2.5 in Hong Kong and the elemental composition , 2002 .

[3]  Han Yongming,et al.  Multivariate analysis of heavy metal contamination in urban dusts of Xi'an, Central China. , 2006, The Science of the total environment.

[4]  P. S. Porter,et al.  A trajectory-clustering-correlation methodology for examining the long-range transport of air pollutants , 1998 .

[5]  S. Almeida,et al.  Approaching PM2.5 and PM2.5 − 10 source apportionment by mass balance analysis, principal component analysis and particle size distribution , 2006 .

[6]  M. P. Kumar,et al.  A study on trace elemental composition of atmospheric aerosols at a semi-arid urban site using ICP-MS technique , 2006 .

[7]  Godwin A. Ayoko,et al.  Receptor modeling of source apportionment of Hong Kong aerosols and the implication of urban and regional contribution , 2009 .

[8]  Achmad Hidayat,et al.  Sources identification of the atmospheric aerosol at urban and suburban sites in Indonesia by positive matrix factorization. , 2008, The Science of the total environment.

[9]  M. Navarro,et al.  Comparison of receptor models for source apportionment of the PM10 in Zaragoza (Spain). , 2009, Chemosphere.

[10]  Ilan Koren,et al.  Smoke and Pollution Aerosol Effect on Cloud Cover , 2006, Science.

[11]  M. Macchiato,et al.  Trace elements in daily collected aerosol: Level characterization and source identification in a four-year study , 2008 .

[12]  Maria Macchiato,et al.  PM10 and heavy metal measurements in an industrial area of southern Italy , 2006 .

[13]  Trevor D. Davies,et al.  Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry—Method and applications , 1992 .

[14]  X. Querol,et al.  A combined analysis of backward trajectories and aerosol chemistry to characterise long-range transport episodes of particulate matter: the Madrid air basin, a case study. , 2008, The Science of the total environment.

[15]  Jim J. Lin,et al.  Characterization of the concentration and distribution of urban submicron (PM1) aerosol particles , 2004 .

[16]  S. Eisenreich,et al.  Characterization of atmospheric trace elements on PM2.5 particulate matter over the New York-New Jersey harbor estuary , 2002 .

[17]  P. A. Azeez,et al.  Heavy Metals in Airborne Particulate Matter of Urban Coimbatore , 2004, Archives of environmental contamination and toxicology.

[18]  P. Hopke,et al.  Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode , 2005 .

[19]  S Nava,et al.  Elemental characterization of PM10, PM2.5 and PM1 in the town of Genoa (Italy). , 2006, Chemosphere.

[20]  B. Jiménez-Vélez,et al.  Concentration Of Trace Elements in Airborne PM10 from Jobos Bay National Estuary, Puerto Rico , 2006 .

[21]  M. Haeffelin,et al.  Impact of the transport of aerosols from the free troposphere towards the boundary layer on the air quality in the Paris area , 2008 .

[22]  R. Hoff,et al.  Source-Receptor Modeling Using Trace Metals in Aerosols Collected at Three Rural Canadian Great Lakes Sampling Stations. , 1998, Journal of the Air & Waste Management Association.

[23]  A. Bayram,et al.  Elemental composition and sources of particulate matter in the ambient air of a Metropolitan City , 2007 .

[24]  H. Sievering,et al.  Factor analysis of the MAP3S/RAINE precipitation chemistry network: 1976―1980 , 1986 .

[25]  Y. J. Kim,et al.  Source contributions to fine particulate matter in an urban atmosphere. , 2005, Chemosphere.

[26]  W G Kreyling,et al.  Sources and elemental composition of ambient PM(2.5) in three European cities. , 2005, The Science of the total environment.

[27]  Xavier Querol,et al.  PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain , 2001 .

[28]  G. Arbilla,et al.  Metals in airborne particulate matter in the industrial district of Santa Cruz, Rio de Janeiro, in an annual period , 2004 .

[29]  V. Rajamani,et al.  Air quality and trace metal chemistry of different size fractions of aerosols in N–NW India—implications for source diversity , 2006 .

[30]  A. D'Alessandro,et al.  Characterization of particulate matter sources in an urban environment. , 2008, The Science of the total environment.

[31]  K. Loska,et al.  Application of principal component analysis for the estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir. , 2003, Chemosphere.

[32]  A. Piazzalunga,et al.  A mass closure and PMF source apportionment study on the sub-micron sized aerosol fraction at urban sites in Italy , 2008 .

[33]  S. Taylor,et al.  The continental crust: Its composition and evolution , 1985 .

[34]  A. Bayram,et al.  Source apportionment of PM(10) and PM(2.5) using positive matrix factorization and chemical mass balance in Izmir, Turkey. , 2008, The Science of the total environment.

[35]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[36]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[37]  Roberta Vecchi,et al.  The role of atmospheric dispersion in the seasonal variation of PM1 and PM2.5 concentration and composition in the urban area of Milan (Italy) , 2004 .

[38]  A. Hjellbrekke,et al.  Measurements of particulate matter within the framework of the European Monitoring and Evaluation Programme (EMEP) I. First results. , 2002, The Science of the total environment.

[39]  Chung-Shin Yuan,et al.  Correlation of atmospheric visibility with chemical composition of Kaohsiung aerosols , 2006 .

[40]  Munir H. Shah,et al.  Annual and Seasonal Variations of Trace Metals in Atmospheric Suspended Particulate Matter in Islamabad, Pakistan , 2008 .

[41]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[42]  A. Stohl.  Computation, accuracy and applications of trajectories—A review and bibliography , 1998 .

[43]  Ian T. Jolliffe,et al.  Discarding Variables in a Principal Component Analysis. I: Artificial Data , 1972 .

[44]  Impact of the implementation of PM abatement technology on the ambient air levels of metals in a highly industrialised area , 2007 .

[45]  P. Butelli,et al.  Fine particulate (PM2.5–PM1) at urban sites with different traffic exposure , 2005 .