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孟加拉国西部地下水中砷的迁移机制和空间分布:利用 EWQI 和蒙特卡罗模拟评估水质和健康风险。

Mobilization mechanisms and spatial distribution of arsenic in groundwater of western Bangladesh: Evaluating water quality and health risk using EWQI and Monte Carlo simulation.

机构信息

Department of Geology and Mining, University of Rajshahi, Rajshahi, 6205, Bangladesh; Institute of Environmental Science, University of Rajshahi, Rajshahi, 6205, Bangladesh; Institute of Mining, Mineralogy and Metallurgy (IMMM), Bangladesh Council of Scientific and Industrial Research (BCSIR), Joypurhat, Bangladesh.

Department of Geology and Mining, University of Rajshahi, Rajshahi, 6205, Bangladesh.

出版信息

Chemosphere. 2024 Oct;366:143453. doi: 10.1016/j.chemosphere.2024.143453. Epub 2024 Oct 2.

Abstract

Arsenic (As) contamination in groundwater is emerging as a significant global concern, posing serious risks to the safety of drinking water and public health. To understand the release mechanisms, mobilization processes, spatial distribution, and probabilistic health risks of As in western Bangladesh, forty-seven samples were collected and analyzed using an atomic absorption spectrometer (AAS). The As concentrations in groundwater ranged from 1.97 to 697.4 μg L⁻ (mean: 229.9), significantly exceeding recommended levels. The dominant hydrochemistry of As-enriched groundwater was Ca-Mg-HCO₃, with the primary sources of arsenic in groundwater being the dissolution of arsenic-bearing minerals in sediment and the recharge of aquifers from the Ganges River Basin. The assessment using the Entropy Water Quality Index revealed that the groundwater is unsuitable for drinking, with 89.36% (n = 42) of the samples surpassing the WHO's limit for arsenic. Rock-water interactions, including calcite dissolution and silicate weathering within the confined aquifer, predominantly influenced hydrochemical properties. The significant relationships among Fe, Mn, and As indicate that the reductive dissolution of FeOOH and/or MnOOH considerably contributes to the release of As from sediment into groundwater. Geochemical modeling analysis revealed that siderite and rhodochrosite precipitate into aquifer solids, suggesting a weak to moderate relationship among As, Fe, and Mn. The long residence time of groundwater, combined with the presence of a clayey aquitard, likely controls the mobilization of arsenic in the aquifer. For the first time, Monte Carlo simulations have been used in arsenic-prone areas to assess the severity of arsenic contamination in western Bangladesh. The analysis indicates that out of 100,000 people, 10 may develop cancer as a result of drinking arsenic-contaminated water, with children being more susceptible than adults.

摘要

砷(As)污染地下水已成为全球关注的重大问题,对饮用水安全和公众健康构成严重威胁。为了了解孟加拉国西部砷的释放机制、迁移过程、空间分布和概率健康风险,采集并使用原子吸收光谱仪(AAS)对 47 个样本进行了分析。结果表明,地下水砷浓度范围为 1.97-697.4μg/L(平均值:229.9μg/L),明显超过了推荐标准。富含砷的地下水主要水化学类型为 Ca-Mg-HCO₃,砷的主要来源是沉积物中含砷矿物的溶解和恒河河流域补给含水层。熵水质指数评估结果显示,地下水不适宜饮用,89.36%(n=42)的样本超过了世界卫生组织(WHO)规定的砷限值。研究区内岩石-水相互作用(包括局限含水层中方解石溶解和硅酸盐风化)对水化学性质有显著影响。Fe、Mn 和 As 之间的显著关系表明,FeOOH 和/或 MnOOH 的还原溶解对将沉积物中的砷释放到地下水中起到了重要作用。地球化学模拟分析表明,菱铁矿和菱锰矿在含水层固体中沉淀,这表明砷、Fe 和 Mn 之间存在弱至中等关系。地下水的长时间滞留以及粘土质隔水层的存在,可能控制了含水层中砷的迁移。首次采用蒙特卡罗模拟方法评估了孟加拉国西部砷污染地区的砷污染严重程度。结果表明,在 10 万人中,可能有 10 人因饮用含砷污染的水而患上癌症,儿童比成人更容易受到影响。

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