Purpose: The Bagnoli's brownfield site (southern Italy) is an environmental priority for the Italian Government and is currently considered as a case study for the definition and application of innovative approaches to ecosystem recovery after a prolonged pollution history and eventual steel plant decommissioning. Materials and methods: Here, we analyse high-quality datasets that constrain the distribution patterns and sources of contaminants in the coastal zone facing the site where the steel plant operated for almost one century. Innovative statistical approaches provide new insights into the temporal and spatial distribution of anthropogenic impacts, documented over the last 30 years, following lines of evidence emerging from investigations on grain size, TOC, heavy metals, PAHs, PCBs and high-resolution morpho-bathymetric information. Results and discussion: The results derived from statistical analysis, referred also to the seafloor morphological variability, highlighted the presence of recent disposal of highly contaminated sediments and their potential pathways of dispersion to wider and deeper water zones. Conclusions: The adopted multidisciplinary approach yields fundamental information towards an effective and proper ecosystem recovery of highly contaminated marine coastal areas and provides at the same time, a sound base for the refitting of decommissioned industrial plants.

Integrated approach of multiple environmental datasets for the assessment of sediment contamination in marine areas affected by long-lasting industrial activity: the case study of Bagnoli (southern Italy)

Sprovieri Mario;Passaro Salvatore;Gherardi Serena;Molisso Flavia;Quinci Enza Maria;Sacchi Marco;Trincardi Fabio;
2020

Abstract

Purpose: The Bagnoli's brownfield site (southern Italy) is an environmental priority for the Italian Government and is currently considered as a case study for the definition and application of innovative approaches to ecosystem recovery after a prolonged pollution history and eventual steel plant decommissioning. Materials and methods: Here, we analyse high-quality datasets that constrain the distribution patterns and sources of contaminants in the coastal zone facing the site where the steel plant operated for almost one century. Innovative statistical approaches provide new insights into the temporal and spatial distribution of anthropogenic impacts, documented over the last 30 years, following lines of evidence emerging from investigations on grain size, TOC, heavy metals, PAHs, PCBs and high-resolution morpho-bathymetric information. Results and discussion: The results derived from statistical analysis, referred also to the seafloor morphological variability, highlighted the presence of recent disposal of highly contaminated sediments and their potential pathways of dispersion to wider and deeper water zones. Conclusions: The adopted multidisciplinary approach yields fundamental information towards an effective and proper ecosystem recovery of highly contaminated marine coastal areas and provides at the same time, a sound base for the refitting of decommissioned industrial plants.
2020
Istituto di Scienze Marine - ISMAR
Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino - IAS
Dipartimento di Scienze del Sistema Terra e Tecnologie per l'Ambiente - DSSTTA
Bagnoli brownfield
Contaminant dynamics
Marine sediments
Multiple environmental datasets
Multivariate statistical approach
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/367761
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