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Monitoring of a long term phytoremediation process of a soil contaminated by heavy metals and hydrocarbons in Tuscany

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Abstract

The purpose of this study was to monitor and model indicators of soil contamination, organic matter evolution and biochemical processes involved in a long-term phytoremediation process. Populus nigra L., Paulownia tomentosa Steud., Cytisus scoparius L. and natural vegetation were used in differently contaminated areas (high, medium and low levels of contamination). Parameters indicating contamination (total petroleum hydrocarbons (TPH) and heavy metals) and agronomic (C, N and P) and functional (enzyme activities) soil recovery were monitored for 3.5 years. Three subareas with different levels of contamination (high, medium and low) were identified according to the Nemerow Index. A considerable decrease in TPH (52% on average) over time in the whole site was measured, while the metal reduction was only of about 22% at surface level. A stimulation in metabolic soil processes and improvement in the chemical quality of the soil was also observed throughout the experimental site. Statistical analysis modelling showed that the contaminant content decreased following a one-phase decay model, while the dramatic increase in enzyme activities could be represented by an exponential growth equation. On the basis of our data, it is possible to conclude that the initial contamination level affected neither the decontamination process nor the improvement in soil quality, which occurred similarly in the three different contaminated areas.

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Acknowledgments

The study was carried out within the framework of a project financed by San Giuliano Terme Municipality. The authors would like to thank Fernando di Giovanni and Manuele Scatena for the assistance in sample collection and preparation.

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Correspondence to Cristina Macci.

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Responsible editor: Elena Maestri

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Macci, C., Peruzzi, E., Doni, S. et al. Monitoring of a long term phytoremediation process of a soil contaminated by heavy metals and hydrocarbons in Tuscany. Environ Sci Pollut Res 27, 424–437 (2020). https://doi.org/10.1007/s11356-019-06836-x

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  • DOI: https://doi.org/10.1007/s11356-019-06836-x

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