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运用多变量分析和污染评价指标对孟加拉国布里甘加河水体和沉积物中的重金属进行源解析与污染评价

Source apportionment and pollution evaluation of heavy metals in water and sediments of Buriganga River, Bangladesh, using multivariate analysis and pollution evaluation indices.

作者信息

Bhuiyan Mohammad Amir Hossain, Dampare Samuel B, Islam M A, Suzuki Shigeyuki

机构信息

Graduate School of Natural Science and Technology, Okayama University, 1-1, Tsushima, Naka, 3-Chome, Okayama, 700-8530, Japan,

出版信息

Environ Monit Assess. 2015 Jan;187(1):4075. doi: 10.1007/s10661-014-4075-0. Epub 2014 Nov 22.

Abstract

Concentrations of heavy metals in water and sediment samples of Buriganga River in the capital city Dhaka, Bangladesh, were studied to understand the level of heavy metals and their source apportionment. The results showed that the mean concentrations of heavy metals both in water and sediment samples were very high and, in most cases, exceeded the permissible limits recommended by the Bangladesh government and other international organizations. Significantly higher concentrations of Pb, Cr, Mn, Co, Ni, Cu, Zn, As, and Cd were found in sediment samples. However, average concentrations of metals both in water and sediment samples were above the effect range median. The heavy metal pollution index (HPI) and degree of contamination (Cd) yielded different results in water samples despite significant correlations between them. The heavy metal evaluation index (HEI) showed strong correlations with HPI and Cd and provided better assessment of pollution levels. The enrichment factor (EF) and geoaccumulation index (Igeo) showed the elevated value of Cr, Pb, and Cd in access of background values. The measured elements were subjected to positive matrix factorization (PMF) and examining correlations in order to explain the content, behavior, and source apportionment of metals. PMF resulted in a successful partitioning of variances into sources related to background geochemistry and contaminant influences. However, the PMF approach successfully demarcated the major sources of metals from tannery, paint, municipal sewage, textiles, and agricultural activities.

摘要

对孟加拉国首都达卡布里甘加河的水和沉积物样本中的重金属浓度进行了研究,以了解重金属水平及其来源分配。结果表明,水和沉积物样本中重金属的平均浓度都非常高,而且在大多数情况下,超过了孟加拉国政府和其他国际组织建议的允许限值。在沉积物样本中发现铅、铬、锰、钴、镍、铜、锌、砷和镉的浓度明显更高。然而,水和沉积物样本中金属的平均浓度均高于效应范围中位数。尽管水样中的重金属污染指数(HPI)和污染程度(Cd)之间存在显著相关性,但它们得出了不同的结果。重金属评价指数(HEI)与HPI和Cd显示出很强的相关性,并能更好地评估污染水平。富集因子(EF)和地累积指数(Igeo)表明铬、铅和镉的值高于背景值。对测量元素进行正矩阵因子分解(PMF)并检查相关性,以解释金属的含量、行为和来源分配。PMF成功地将方差划分为与背景地球化学和污染物影响相关的来源。然而,PMF方法成功地划定了来自制革厂、油漆、城市污水、纺织和农业活动的主要金属来源。

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