Department of Public Health, "Federico II" University, Via Sergio Pansini nº 5, 80131 Naples, Italy.
Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute nº 2, 80055 Portici, Italy.
Int J Environ Res Public Health. 2023 Jan 17;20(3):1693. doi: 10.3390/ijerph20031693.
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.
本研究报告了意大利南部坎帕尼亚平原(CP)地下水重金属污染的数据。共采集了 1093 个地下水样本,来自以下含水层:沿海平原(GAR、VCP、VES、SAR 和 SEL)、火山地区(PHLE 和 VES)和碳酸盐岩块(MAS 和 LAT)。在本研究中,调查深度范围从 5 m(GAR)到 200 m(PHLE)。地下水样本中重金属含量的顺序为 B > Fe > Al > Mn > Zn > Ba > Ni > As > Cu > V > Se > Pb > Cd。重金属污染指数(HPI)和重金属评价(HEI)表明,地下水样本采集的研究区域不是风险区域。此外,健康风险评估表明,重金属的危害指数(HI)值在地下水样本中明显较低。在成人组的非致癌风险评估中,风险较低,而对于儿童和婴儿,仅砷的风险就>1。致癌风险评估(CR)发现成人、儿童和婴儿的风险较低。詹克斯优化方法用于评估 CP 地下水重金属的分布,主成分分析技术(PCA)用于确定重金属的来源,结果表明混合来源(自然和人为)可能是重金属存在的原因。