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受砷污染的西部巴纳特地下水(潘诺尼亚盆地):水文地球化学评估、污染源分摊和特定来源健康风险的蒙特卡罗模拟。

Arsenic-contaminated groundwater of the Western Banat (Pannonian basin): Hydrogeochemical appraisal, pollution source apportionment, and Monte Carlo simulation of source-specific health risks.

机构信息

Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia.

Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia.

出版信息

Water Environ Res. 2024 Aug;96(8):e11087. doi: 10.1002/wer.11087.

Abstract

Due to rapid urbanization and industrial growth, groundwater globally is continuously deteriorating, posing significant health risks to humans. This study employed a comprehensive methodology to analyze groundwater in the Western Banat Plain (Serbia). Using Piper and Gibbs plots, hydrogeochemistry was assessed, while the entropy-weighted water quality index (EWQI) was used to evaluate groundwater quality. Pollution sources were identified using positive matrix factorization (PMF) accompanied by Pearson correlation and hierarchical cluster analysis, while Monte Carlo simulation assessed health risks associated with groundwater consumption. Results showed that groundwater, mainly Ca-Mg-HCO type, is mostly suitable for drinking. Geogenic pollution, agricultural activities, and sewage were major pollution sources. Consumption of contaminated groundwater poses serious non-carcinogenic and carcinogenic health risks. Additionally, arsenic from geogenic source was found to be the main health risks contributor, considering its worryingly elevated concentration, ranging up to 364 μg/L. These findings will be valuable for decision-makers and researchers in managing groundwater vulnerability. PRACTITIONER POINTS: Groundwater is severely contaminated with As in the northern part of the study area. The predominant hydrochemical type of groundwater in the area is Ca-Mg-HCO. The PMF method apportioned three groundwater pollution sources. Monte Carlo identified rock dissolution as the primary health risk contributor. Health risks and mortality in the study area are positively correlated.

摘要

由于快速的城市化和工业增长,全球地下水不断恶化,对人类健康构成重大威胁。本研究采用综合方法分析了塞尔维亚西部巴纳特平原(Banat Plain)的地下水。利用 Piper 和 Gibbs 图评估了水文地球化学,同时使用熵权水质指数(EWQI)评估了地下水质量。利用正矩阵因子分解(PMF)结合皮尔逊相关和层次聚类分析识别了污染源,而蒙特卡罗模拟评估了与地下水消费相关的健康风险。结果表明,地下水主要为 Ca-Mg-HCO 型,主要适用于饮用。内生污染、农业活动和污水是主要的污染源。受污染地下水的消耗会带来严重的非致癌和致癌健康风险。此外,由于其令人担忧的高浓度,高达 364μg/L,内生来源的砷被认为是主要的健康风险贡献者。这些发现对于决策者和研究人员管理地下水脆弱性将具有重要价值。

从业者要点

研究区北部地下水受到严重砷污染。该地区地下水的主要水文地球化学类型为 Ca-Mg-HCO。PMF 方法分配了三种地下水污染源。蒙特卡罗确定了岩石溶解是主要的健康风险贡献者。研究区的健康风险和死亡率呈正相关。

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