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Methods of Assessment of Metal Contamination in Bottom Sediments (Case Study: Straszyn Lake, Poland).
Archives of Environmental Contamination and Toxicology ( IF 4 ) Pub Date : 2019-08-19 , DOI: 10.1007/s00244-019-00662-5
Eliza Kulbat 1 , Aleksandra Sokołowska 1
Affiliation  

The concentrations of six metals (Zn, Cu, Pb, Ni, Cr, and Cd) were investigated in bottom sediments of Straszyn Lake (North Poland). This study was designed to determine a total content of metals and to assess their mobility and bioavailability. The sequential extraction was used to fractionate metals into five fractions: exchangeable, bound to carbonates, bound to Fe-Mn oxides, bound to organic matter, and residual. The evaluation of sediments contamination degree by metals was performed by applying the geochemical quality guidelines, the pollution load index, and the geo-accumulation index (Igeo). The assessment based on these methods demonstrated that sediments were polluted with Cr and the sediments quality guidelines confirmed these results. Moreover, the average concentrations of Cu, Ni, and Cr were respectively 3.4, 3.9, and 21.2 times higher than their background values. According to ecological risk index and risk assessment code Cd was the most important factor affecting the ecological environment of the Straszyn Lake. The metal speciation analysis demonstrated that the mean percentage of metals in the exchangeable and carbonate fractions decreased in the following order: Cd (59.1%) > Zn (19.8%) = Ni (19.8%) > Pb (16.6%) > Cu (3.3%) > Cr (2.7%). The very strong correlation calculated between all the metals indicated their common origin.

中文翻译:

底部沉积物中金属污染的评估方法(案例研究:波兰Straszyn Lake)。

在Straszyn湖(北波兰)的底部沉积物中调查了六种金属(锌,铜,铅,镍,铬和镉)的浓度。本研究旨在确定金属的总含量并评估其迁移率和生物利用度。使用顺序萃取将金属分为五个部分:可交换,与碳酸盐结合,与Fe-Mn氧化物结合,与有机物结合以及残留物。通过应用地球化学质量准则,污染负荷指数和地质累积指数(Igeo)对金属对沉积物的污染程度进行评估。根据这些方法进行的评估表明,沉积物被铬污染,沉积物质量准则证实了这些结果。而且,Cu,Ni和Cr的平均浓度分别为3.4、3.9和21。比背景值高2倍。根据生态风险指数和风险评估代码,镉是影响斯特拉森湖生态环境的最重要因素。金属形态分析表明,可交换和碳酸盐馏分中金属的平均百分比按以下顺序降低:Cd(59.1%)> Zn(19.8%)= Ni(19.8%)> Pb(16.6%)> Cu(3.3 %)> Cr(2.7%)。所有金属之间的非常强的相关性表明了它们的共同起源。金属形态分析表明,可交换和碳酸盐馏分中金属的平均百分比按以下顺序降低:Cd(59.1%)> Zn(19.8%)= Ni(19.8%)> Pb(16.6%)> Cu(3.3 %)> Cr(2.7%)。所有金属之间的非常强的相关性表明了它们的共同起源。金属形态分析表明,可交换和碳酸盐馏分中金属的平均百分比按以下顺序降低:Cd(59.1%)> Zn(19.8%)= Ni(19.8%)> Pb(16.6%)> Cu(3.3 %)> Cr(2.7%)。所有金属之间的非常强的相关性表明了它们的共同起源。
更新日期:2019-11-01
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