Organohalogen diffuse contamination in Firenze and Prato groundwater bodies. investigative monitoring and definition of background values
AbstractThe experience of the Environmental Protection Agency of Tuscany in the determination of background values start from 2009 with various substances such as metals, non-metals and inorganic, dioxins and various matrices such as soil, groundwater, inland surface waters and coastal marine sediments. The methodologies supplied in literature have been interpreted and integrated to meet the requirements of current legislation and needs for remediation, diffuse pollution and excavated earth in specific areas. The method for diffuse pollution described here focuses on the use of statistical and geostatistical tools and what we present in this paper are some early results of interest obtained from two case studies in the Florence and in the Prato area. The study has been carried out on concentrations of tetrachlorethylene in the two groundwater bodies by identifying a number of frequency classes in the distribution. Each class has been hypothesized as corresponding to a distinct process. The occurrence both in space and time of the classes has been analysed and discussed critically concluding for a background value that has been found similar between the two zones. The investigation conducted on two monitoring stations representing hot-spots, with values in excess on background value has enabled to map spatial distribution of concentrations and to separate plumes from diffuse pollution area. The two areas show some peculiarities: Florence area shows advanced dehalogenation and a clear spatial continuity, whereas in Prato area it is limited with poor spatial continuity suggesting a spreading with vertical motions from still active primary or secondary sources. Observing how the methodological structure would require, to be fully predictive, a greater number of samples, however, the present work want to constitute a first contribution for management of areas subject to diffuse pollution.
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Copyright (c) 2017 Stefano Menichetti, Alberto Doni
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