PM10 and heavy metal measurements in an industrial area of southern Italy |
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| Authors: | Maria Ragosta Rosa Caggiano Mariagrazia D'Emilio Serena Sabia Serena Trippetta Maria Macchiato |
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| Institution: | aDIFA-Dipartimento di Ingegneria e Fisica dell'Ambiente, Università della Basilicata, Potenza, Italy;bIMAA, Istituto di Metodologie per l'Analisi Ambientale, CNR, Tito Scalo (PZ), Italy;cDSF-Dipartimento di Scienze Fisiche, Università Federico II, Napoli, Italy |
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| Abstract: | Atmospheric particulate concentrations and heavy metal content are measured from March to July 2001 at an industrial site located in a rural zone of the southern Italy. PM10 samples are collected by a low-volume sampler and each sample is analysed by AAS techniques for its content of Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn. We measure also temperature, atmospheric pressure and relative humidity, and we collect anemometric data. The study purpose is the investigation of pollutant levels in an industrial area located in a rather unpolluted region and the characterization of the correlation structure among particulate concentrations, heavy metal content and local meteorological parameters. Data analysis is carried out by means of univariate and multivariate statistical methods. In the investigated period, the average value of PM10 daily concentrations (24 μg Nm− 3) does not exceed the national standard of 40 μg Nm− 3 and only nine values are higher than the European daily limit value of 50 μg Nm− 3. Particularly, the occurrence of two anomalous values (183 μg Nm− 3 in 3 March and 94 μg Nm− 3 in 22 June) seems to be related to no-local events as confirmed both by in situ data measured in the AQM network of Potenza city (about 10 km far from the study area) and by remote measurements performed in the same days. Regarding the heavy metal levels, we observe high levels of Cr (34 ng Nm− 3), Ni (85 ng Nm− 3) and Zn (214 ng Nm− 3) in agreement with the local industrial source pattern. The multivariate analysis, carried out using meteorological parameters as exogenous variables, allow to evaluate the role of the different variables as driving factors of the correlation structure among the metals. |
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| Keywords: | Atmospheric pollutants Meteorological parameters Multivariate analysis |
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