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https://hdl.handle.net/10216/115491
Author(s): | Nuno Ratola Noelia Domínguez-Morueco Mariana Carvalho Jordi Sierra Marta Schuhmacher José Luis Domingo Martí Nadal |
Title: | Multi-component determination of atmospheric semi-volatile organic compounds in soils and vegetation from Tarragona County, Catalonia, Spain |
Issue Date: | 2018 |
Abstract: | Tarragona County (Spain) is home to the most important chemical/petrochemical industrial complex in Southern Europe, which raises concerns about the presence and effects of the numerous environmental contaminants. In order to assess the levels and patterns of five classes of semi-volatile organic compounds (SVOCs) - polycyclic aromatic hydrocarbons (PAHs), synthetic musks (SMs), polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs) and one organochlorine pesticide, hexachlorobenzene (HCB), 27 samples of soil and vegetation (Piptatherum L.) from different areas (petrochemical, chemical, urban/residential, and background) of Tarragona County were analysed. The results show that PAHs levels in soils ranged from 45.12 to 158.00 ng/g and the urban areas presented the highest concentrations, mainly associated with the presence of a nearby highway and several roads with heavy traffic. PAHs levels in vegetation samples ranged from 42.13 to 80.08 ng/g, where the greatest influence came from the urban and petrochemical areas. In the case of SMs, levels in soils and vegetation samples ranged from 5.42 to 10.04 ng/g and from 4.08 to 17.94 ng/g, respectively, and in both cases, background areas (at least 30 km away from the main SVOCs emission sources) showed the highest levels, suggesting an influence of the personal care products derived from beach-related tourism in the coast. PCBs (from 6.62 to 14.07 ng/g in soils; from 0.52 to 4.41 ng/g in vegetation) prevailed in the chemical area in both matrices, probably associated with the presence of two sub-electrical stations located in the vicinities. In general terms, BFRs and HCB values recorded in soil and vegetation samples were quite similar between matrices and sampling areas. (c) 2018 Elsevier B.V. All rights reserved. |
URI: | https://hdl.handle.net/10216/115491 |
Related Information: | info:eu-repo/grantAgreement/Comissão de Coordenação e Desenvolvimento Regional do Norte/P2020|Norte2020-Projetos Integrados ICDT/NORTE-01-0145-FEDER-000005/LEPABE-2-ECO-INNOVATION/LEPABE-2-ECO-INNOVATION info:eu-repo/grantAgreement/FCT - Fundação para a Ciência e a Tecnologia/Projetos Estratégicos/UID/EQU/00511/2013 - POCI-01-0145-FEDER-006939/Laboratório de Engenharia de Processos, Ambiente, Biotecnologia e Energia/LEPABE |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
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284664.pdf Restricted Access | Artigo original publicado | 2.45 MB | Adobe PDF | Request a copy from the Author(s) |
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