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Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health

This study reports the data on the contamination caused by heavy metals in the groundwater of the Campania Plain (CP) in Southern Italy. A total of 1093 groundwater samples were obtained from the following aquifers: coastal plains (GAR, VCP, VES, SAR, and SEL), volcanic districts (PHLE and VES), and...

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Autores principales: Triassi, Maria, Cerino, Pellegrino, Montuori, Paolo, Pizzolante, Antonio, Trama, Ugo, Nicodemo, Federico, D’Auria, Jacopo Luigi, De Vita, Sabato, De Rosa, Elvira, Limone, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914834/
https://www.ncbi.nlm.nih.gov/pubmed/36767059
http://dx.doi.org/10.3390/ijerph20031693
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author Triassi, Maria
Cerino, Pellegrino
Montuori, Paolo
Pizzolante, Antonio
Trama, Ugo
Nicodemo, Federico
D’Auria, Jacopo Luigi
De Vita, Sabato
De Rosa, Elvira
Limone, Antonio
author_facet Triassi, Maria
Cerino, Pellegrino
Montuori, Paolo
Pizzolante, Antonio
Trama, Ugo
Nicodemo, Federico
D’Auria, Jacopo Luigi
De Vita, Sabato
De Rosa, Elvira
Limone, Antonio
author_sort Triassi, Maria
collection PubMed
description This study reports the data on the contamination caused by heavy metals in the groundwater of the Campania Plain (CP) in Southern Italy. A total of 1093 groundwater samples were obtained from the following aquifers: coastal plains (GAR, VCP, VES, SAR, and SEL), volcanic districts (PHLE and VES), and carbonate massifs (MAS and LAT). In this study, the investigation depth ranged from 5 m (GAR) to 200 m (PHLE). The sequence of heavy metal content in groundwater samples was B > Fe > Al > Mn > Zn > Ba > Ni > As > Cu > V > Se > Pb > Cd. The heavy metal pollution index (HPI) and heavy metal evaluation (HEI) demonstrated that the study areas in which groundwater samples were sampled are not risk zones. Moreover, health risk assessment shows that hazard index (HI) values for heavy metals were found to be significantly low in groundwater samples. In non-carcinogenic risk evaluation for the adult group, the risk was low, whereas for children and infants, the risk was >1 for arsenic alone. Carcinogenic risk assessment (CR) was found lower for adults, children, and infants. The Jenks optimization method was used to evaluate the distribution of heavy metals in the groundwater of CP, and the principal component analysis technique (PCA) was employed to determine the source of heavy metals, and it was found that mixed sources (natural and anthropogenic) may be responsible for heavy metals presence.
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spelling pubmed-99148342023-02-11 Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health Triassi, Maria Cerino, Pellegrino Montuori, Paolo Pizzolante, Antonio Trama, Ugo Nicodemo, Federico D’Auria, Jacopo Luigi De Vita, Sabato De Rosa, Elvira Limone, Antonio Int J Environ Res Public Health Article This study reports the data on the contamination caused by heavy metals in the groundwater of the Campania Plain (CP) in Southern Italy. A total of 1093 groundwater samples were obtained from the following aquifers: coastal plains (GAR, VCP, VES, SAR, and SEL), volcanic districts (PHLE and VES), and carbonate massifs (MAS and LAT). In this study, the investigation depth ranged from 5 m (GAR) to 200 m (PHLE). The sequence of heavy metal content in groundwater samples was B > Fe > Al > Mn > Zn > Ba > Ni > As > Cu > V > Se > Pb > Cd. The heavy metal pollution index (HPI) and heavy metal evaluation (HEI) demonstrated that the study areas in which groundwater samples were sampled are not risk zones. Moreover, health risk assessment shows that hazard index (HI) values for heavy metals were found to be significantly low in groundwater samples. In non-carcinogenic risk evaluation for the adult group, the risk was low, whereas for children and infants, the risk was >1 for arsenic alone. Carcinogenic risk assessment (CR) was found lower for adults, children, and infants. The Jenks optimization method was used to evaluate the distribution of heavy metals in the groundwater of CP, and the principal component analysis technique (PCA) was employed to determine the source of heavy metals, and it was found that mixed sources (natural and anthropogenic) may be responsible for heavy metals presence. MDPI 2023-01-17 /pmc/articles/PMC9914834/ /pubmed/36767059 http://dx.doi.org/10.3390/ijerph20031693 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Triassi, Maria
Cerino, Pellegrino
Montuori, Paolo
Pizzolante, Antonio
Trama, Ugo
Nicodemo, Federico
D’Auria, Jacopo Luigi
De Vita, Sabato
De Rosa, Elvira
Limone, Antonio
Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title_full Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title_fullStr Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title_full_unstemmed Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title_short Heavy Metals in Groundwater of Southern Italy: Occurrence and Potential Adverse Effects on the Environment and Human Health
title_sort heavy metals in groundwater of southern italy: occurrence and potential adverse effects on the environment and human health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914834/
https://www.ncbi.nlm.nih.gov/pubmed/36767059
http://dx.doi.org/10.3390/ijerph20031693
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