Pollution reconnaissance in stream sediments using non-residual trace metals

R. Chester, W.M. Kudoja, A. Thomas, J. Towner
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引用次数: 60

Abstract

Total non-residual (TNR) concentrations of Fe, Mn, Co, Ni, Cr, Cu, Pb, Zn and Cd have been determined in sediments from ten stream populations in North West England using a rapid 0·5 HCl leaching technique. It is shown that the technique can successfully be used as a first stage in a reconnaissance survey designed to identify trace metal pollution in stream sediments. The TNR trace metal concentrations are extremely variable in the sediments and a number of approaches are assessed in order to interpret the data in an environmentally useful manner. (i) Spatial variations in the distributions of the TNR trace metals in individual stream populations can be used to identify specific pollution sources, which often impose ‘man-made fingerprints’ on the sediments. (ii) In order to establish baseline concentrations for all the stream sediments, an artificial background sediment (ABS) is identified and sediments which have suffered pollution are identified as those whose TNR trace metal concentrations exceeds an Ex¯ABS + 2s parameter, in which Ex¯ABS is concentration of an element, E, in the ABS. The degree of pollution is assessed by an index of pollution (IP), which is related to the Ex¯ABS + 2s parameter. (iii) Partitioning of the trace metals in the non-residual sediment fractions is investigated using a five-stage sequential leaching technique. The application of the technique to a series of polluted and non-polluted stream sediments shows that the partitioning characteristics of a number of the TNR trace metals differ in respect to their host components. Further, the partitioning signatures of some of the TNR trace metals, especially that of Cd, are different in polluted and non-polluted samples.

利用非残留微量金属对水系沉积物进行污染侦察
采用快速0.5 HCl浸出技术测定了英格兰西北部10个河流种群沉积物中Fe、Mn、Co、Ni、Cr、Cu、Pb、Zn和Cd的总非残留(TNR)浓度。结果表明,该技术可以成功地作为一项旨在识别水系沉积物中痕量金属污染的侦察调查的第一阶段。沉积物中的TNR微量金属浓度变化很大,为了以对环境有益的方式解释数据,评估了许多方法。(i)单个河流种群中TNR痕量金属分布的空间变化可用于识别特定污染源,这些污染源往往在沉积物上施加“人为指纹”。(ii)为了建立所有河流沉积物的基线浓度,确定了人工背景沉积物(ABS),并将受到污染的沉积物确定为TNR痕量金属浓度超过Ex¯ABS + 2s参数的沉积物,其中Ex¯ABS是ABS中元素E的浓度。污染程度通过污染指数(IP)进行评估,该指数与Ex¯ABS + 2s参数相关。(三)使用五阶段顺序浸出技术研究非残留沉积物组分中微量金属的分配。该技术在一系列污染和未污染河流沉积物中的应用表明,许多TNR微量金属的分配特征在其主成分方面有所不同。此外,一些TNR痕量金属,特别是Cd,在污染和未污染样品中的分配特征是不同的。
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