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尼日利亚吉加瓦州哈代贾地方政府辖区淹水稻田的重金属污染评估:气候变化的影响

Assessment of heavy metal pollution from flooded rice farms in Hadejia LGA of Jigawa State Nigeria: an impact of climate change.

作者信息

Simon J, Ibanga E A, Inyang E P, Kama H G, Momoh K O, Bello S, Yisa A G

机构信息

Department of Physics, National Open University of Nigeria HQ, Jabi, Abuja, Nigeria.

Department of Environmental Science, National Open University of Nigeria HQ, Jabi, Abuja, Nigeria.

出版信息

Environ Monit Assess. 2025 Jun 18;197(7):764. doi: 10.1007/s10661-025-14241-w.

Abstract

This study assessed heavy metal contamination in flooded rice farmlands of Hadejia Local Government Area, Jigawa State, Nigeria, with the aim of investigating the impact of perennial flooding on metal accumulation in soils and rice grains. The research addresses a significant data gap in environmental and public health surveillance within the region. A total of 50 surface soil and 50 rice grain samples were collected and analyzed using microwave plasma-atomic emission spectroscopy (MP-AES), validated by atomic absorption spectroscopy (AAS), to determine the concentrations of Zn, Cd, Fe, Cu, Ni, As, Pb, Mn, and Cr. Due to non-normal data distribution, median values were used for the analysis. While most heavy metals were within the permissible limits, arsenic (As) exceeded its maximum allowable concentration (MAC) in soil by 77.5% and surpassed its weekly tolerable intake limit in rice by four orders of magnitude, posing a significant health risk. The contamination was attributed to mine tailings, abandoned pits, agricultural residues, and industrial discharges from nearby regions. Pollution indices indicated particularly high risks from Cd and As. The study recommends detailed geochemical mapping to trace arsenic sources and the adoption of low-arsenic-absorbing rice varieties to reduce dietary exposure and enhance food safety.

摘要

本研究评估了尼日利亚吉加瓦州哈代贾地方政府辖区水淹稻田中的重金属污染情况,旨在调查常年水淹对土壤和稻米中金属积累的影响。该研究填补了该地区环境与公共卫生监测方面的一个重大数据空白。共采集了50份表层土壤和50份稻米样本,并使用微波等离子体原子发射光谱法(MP-AES)进行分析,通过原子吸收光谱法(AAS)进行验证,以测定锌、镉、铁、铜、镍、砷、铅、锰和铬的浓度。由于数据分布不呈正态,分析采用中位数。虽然大多数重金属含量在允许范围内,但土壤中的砷(As)超过其最大允许浓度(MAC)77.5%,稻米中的砷超过其每周可耐受摄入量限值四个数量级,构成重大健康风险。污染归因于矿渣、废弃矿坑、农业残留物以及附近地区的工业排放。污染指数表明镉和砷的风险尤其高。该研究建议进行详细的地球化学测绘以追踪砷源,并采用低砷吸收水稻品种以减少膳食暴露并提高食品安全。

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