Title of article :
Multi year sun-photometer measurements for aerosol characterization in a Central Mediterranean site
Author/Authors :
Boselli، نويسنده , , Erin A. and Caggiano، نويسنده , , R. and Cornacchia، نويسنده , , C. and Madonna، نويسنده , , F. and Mona، نويسنده , , L. and Macchiato، نويسنده , , M. and Pappalardo، نويسنده , , G. and Trippetta، نويسنده , , S.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
13
From page :
98
To page :
110
Abstract :
Aerosol characterization at a Mediterranean site is carried out on the base of 40-month (November 2005–March 2009) measurements of aerosol optical depth (AOD) at 440 nm and Ångstrom coefficient (α) at 440/870 nm collected at the atmospheric observatory of the Istituto di Metodologie per lʹAnalisi Ambientale of the Italian National Research Council (CNR-IMAA). Mean values of 0.161 ± 0.004 and 1.44 ± 0.54 are observed for AOD and α, respectively. Both AOD and α are characterized by a wide range of values from 0.03 to 0.6 and from 0.15 to 3.14, respectively, and a day-to-day variability larger than 100% for AOD < 0.18 and α < 0.95. A seasonal behavior is found with higher AOD and lower α values in spring–summer. Four aerosol populations are found in the count distribution of AOD. The k-means cluster analysis allowed the identification of measurements belonging to each one of the four populations identified in the AOD distribution. Four prevailing aerosol classes are identified by using back-trajectories and model analyses: dust, continental, maritime and mixed aerosols. Dust and continental aerosol are the most common at Central Mediterranean (37.5% and 41% of the cases, respectively), with a wide variability in both AOD and α. Only in about 4% of the cases can aerosol be classified as maritime, and however the mixing with other aerosol is not negligible. A comparative study of cluster results and aerosol type identification reveals that the classification, based on the cluster analysis, is reliable for dust event and continental case, with a confidence level of 85% and 65% respectively. Finally, the Principal Component Analysis (PCA) applied on each clusterʹs PM1 and trace element daily concentration reveals an influence of dust on PM1 measurements at ground level.
Keywords :
Particulate matter , Clustering , Sun photometer , إngstrِm exponent , Aerosol optical depth
Journal title :
Atmospheric Research
Serial Year :
2012
Journal title :
Atmospheric Research
Record number :
2247392
Link To Document :
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