Il progetto Reti Speciali prevede di svolgere studi, basati anche sull’interpretazione dei dati monitorati, e di assicurare la condivisione e la diffusione dei risultati dell’attuazione dell’Accordo verso i soggetti interessati dalle risultanze delle esperienze acquisite (pubblico, comunità scientifica, Ministero della Transizione Ecologica, altre amministrazioni competenti in materia).

First atmospheric mercury measurements at a coastal site in the Apulia region: seasonal variability and source analysis

Maria Martino, Antonella Tassone, Lorenzo Angiuli, Attilio Naccarato, Paolo Rosario Dambruoso, Fiorella Mazzone, Livia Trizio, Cristina Leonardi, Francesco Petracchini, Francesca Sprovieri, Nicola Pirrone, Francesco D’Amore & Mariantonia Bencardino

Environmental Science and Pollution Research (2022)



In the framework of the Italian Special Network for Mercury (ISNM) “Reti Speciali”, a sampling campaign to monitor atmospheric mercury (Hg) was carried out at Monte Sant’Angelo (MSA). This is a coastal monitoring station in the Apulia region, representative of the Southern Adriatic area, within the Mediterranean basin. This work presents continuous Gaseous Elemental Mercury (GEM) measurements over about three years at MSA, using the Lumex RA-915AM mercury analyzer. The aim was to obtain a dataset suitable for the analysis of Hg concentrations in terms of source and transport variation. Diurnal cycles of GEM were evaluated to observe the influence of local atmospheric temperature and wind speed on potential re-emissions from surrounding sea and soil surfaces. Data were also analyzed in terms of long-range transport, using backward trajectory cluster analysis. The spatial distribution of potential sources, contributing to higher measured GEM values, was obtained employing Potential Source Contribution Function (PSCF) statistics. The influence of major Hg anthropogenic point sources, such as mining activities and coal-fuel power plants, both regionally and continentally, from mainland Europe, was observed. The role of the vegetation GEM uptake in modulating the seasonal GEM variability was also investigated. The potential of wildfire influence over the highest detected GEM levels was further examined using active fire data and the evaluation of the vegetation dryness index during the selected episodes.