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采用BCR三步连续提取法对铅锌矿区河流沉积物中锌、铅和镉进行形态分析

Partitioning of Zn, Pb and Cd in river sediments from a lead and zinc mining area using the BCR three-step sequential extraction procedure.

作者信息

Svete P, Milacic R, Pihlar B

机构信息

"Department of Environmental Sciences, Jozef Stefan Institute, Ljubljana, Slovenia.

出版信息

J Environ Monit. 2001 Dec;3(6):586-90. doi: 10.1039/b106311c.

Abstract

The extent of pollution was investigated in sediments collected along the course of the river Meza and its tributaries in the lead and zinc mining area of the Mezica valley (Slovenia). In order to evaluate the heavy metal burden, total concentrations of Zn, Pb and Cd were determined and the partitioning of these metals between the easily and sparingly soluble sediment fractions was performed by the use of the slightly modified BCR sequential extraction procedure. The quality of analytical data was checked with Certified Reference Material CRM 601. Good agreement between the determined and certified or indicative metal concentrations was obtained. In order to estimate the natural and anthropogenic inputs of Zn, Pb and Cd in the sediments, normalisation to Al was applied. The results of the partitioning study indicate that Zn prevails in the most sparingly soluble fraction and is distributed between organic matter and sulfides, while a smaller proportion is found in the easily soluble fraction. Pb is distributed mainly between organic matter and sulfides, whereas Cd is predominantly associated with the most sparingly soluble fraction. Data from the normalisation procedure indicate that the anthropogenic inputs of Zn, Pb and Cd correlate with the very high total metal concentrations determined in sediments. The highest total Zn, Pb and Cd concentrations (16.3. 9.3 and 0.13 g kg(-1), respectively) were found in the sediment of the Helena rivulet, arising from former mining activities. In spite of the relatively low easily soluble metal fractions in the sediment, the concentrations of metals in these fractions are high, owing to the extremely high total metal concentrations. These data indicate severe pollution of the terrestrial and aquatic environment.

摘要

在斯洛文尼亚梅齐卡山谷铅锌矿区,对沿梅扎河及其支流采集的沉积物中的污染程度进行了调查。为了评估重金属负荷,测定了锌、铅和镉的总浓度,并采用略有修改的BCR连续萃取法对这些金属在易溶和微溶沉积物组分之间进行了分配。使用标准参考物质CRM 601检查分析数据的质量。测定的金属浓度与认证浓度或指示性浓度之间取得了良好的一致性。为了估计沉积物中锌、铅和镉的自然和人为输入量,采用了以铝为标准的归一化方法。分配研究结果表明,锌主要存在于最难溶的组分中,分布在有机物和硫化物之间,而易溶组分中的比例较小。铅主要分布在有机物和硫化物之间,而镉主要与最难溶的组分相关。归一化程序的数据表明,锌、铅和镉的人为输入量与沉积物中测定的非常高的总金属浓度相关。在海伦娜小溪的沉积物中发现了最高的锌、铅和镉总浓度(分别为16.3、9.3和0.13 g kg-1),这是以前采矿活动造成的。尽管沉积物中易溶金属组分的比例相对较低,但由于总金属浓度极高,这些组分中的金属浓度仍然很高。这些数据表明陆地和水生环境受到了严重污染。

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