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Heavy metal pollution assessment through comparison of different indices in sewage-fed fishery pond sediments at East Kolkata Wetland, India

机译:通过比较印度东加尔各答湿地的污水养鱼池沉积物中不同指标的重金属污染评估

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The sediments of the raw sewage-fed fishpond system at East Kolkata Wetland (EKW) were analyzed for heavy metal content in a comprehensive way. Various indices of contamination like enrichment factor (EF), geo-chemical index (I_(geo)), modified degree of contamination (mD_c), and pollution load index (PLI) were assessed. In all cases, instead of literature values, the metal concentrations of less contaminated sites, separated by the statistical approach of the hierarchical cluster analysis, were used as baseline values. In the present study, about 70% of the pond sediments are found uncontaminated, 5% display low degree of contamination and 25% are designated as moderate degree of contamination. Both the EF and I_(geo) indices highlighted that the metals lead (Pb), cadmium (Cd), and chromium (Cr) are responsible for the contamination while there is little anthropogenic input in cases of Cu, Zn, and Ni. Most of the ponds situated near the main sewage flowing canals as well as the main traffic highway and close to the solid waste dumping areas recorded higher degree of metal contamination as evident from spatial variation of mD_c and PLI indices in the study area. Indices comparison study clearly indicates that although these are calculated using different methods, these may or may not produce the same indices values and hence the values should neither be compared nor be averaged. But all the above indices are directly related to a common term contamination factor (CF). Classification of contamination levels based on these CF values is found to be similar and this classification is only valid up to the level of high degree of contamination. Thus, the use of any one of these indices is sufficient to classify the degree of contamination of an area. However, to evaluate the contamination per metal, both I_(geo) and EF are effective while, to assess the composite effect of all the metals, PLI is preferable to mD_c.
机译:对东加尔各答湿地(EKW)的原始污水养鱼池系统的沉积物进行了综合分析。评估了各种污染指数,例如富集因子(EF),地球化学指数(I_(geo)),改良污染度(mD_c)和污染负荷指数(PLI)。在所有情况下,通过分层聚类分析的统计方法将污染较少的场所的金属浓度(而不是文献数据)用作基线值。在本研究中,发现约70%的池塘沉积物未被污染,5%的污染程度低,而25%的污染程度中等。 EF和I_(geo)指数均突出表明,金属铅(Pb),镉(Cd)和铬(Cr)是造成污染的原因,而在Cu,Zn和Ni情况下几乎没有人为输入。从研究区域的mD_c和PLI指数的空间变化可以明显看出,位于主要污水流道附近以及主要交通高速公路附近和固体废物倾倒区附近的大多数池塘记录到较高的金属污染程度。指数比较研究清楚地表明,尽管这些指数是使用不同的方法计算的,但它们可能会或可能不会产生相同的指数值,因此,不应将这些值进行比较或取平均值。但是,以上所有指标均与一个通用术语污染因子(CF)直接相关。发现基于这些CF值的污染水平的分类是相似的,并且该分类仅在最高污染程度时才有效。因此,使用这些指数中的任何一个足以对区域的污染程度进行分类。但是,为了评估每种金属的污染,I_(geo)和EF都是有效的,而为了评估所有金属的复合效果,PLI优于mD_c。

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