Paramasivam K, Ramasamy V, Suresh G
Department of Physics, Annamalai University, Annamalainagar, Tamil Nadu, India.
Department of Physics, Annamalai University, Annamalainagar, Tamil Nadu, India.
Spectrochim Acta A Mol Biomol Spectrosc. 2015 Feb 25;137:397-407. doi: 10.1016/j.saa.2014.08.056. Epub 2014 Aug 30.
The distributions of the metals (Al, Fe, Mg, Cd, Cr, Cu, Ni, Pb and Zn) were measured for the surface sediments of the Vaigai river, Tamilnadu, India. These values are compared with different standard values to assess the level of toxicity of the heavy metals in the sediments. Risk indices (CF, PLI and PER) are also calculated to understand the level of toxicity of the metals. Multivariate statistical analyses (Pearson's correlation analysis, cluster analysis and factor analysis) are carried out to know the inter-relationship between sediment characteristics and the heavy metals. From this analysis, it is confirmed that the contents of clay and organic matter play an important role to raise the level of heavy metal contents as well as PLI and PER (level of toxicity). Heavy metal concentrations of the samples (after removing silt and clay fractions from bulk samples) show decrease in their concentrations and risk indices compared to the level of bulk samples.
对印度泰米尔纳德邦韦盖伊河表层沉积物中的金属(铝、铁、镁、镉、铬、铜、镍、铅和锌)分布进行了测量。将这些值与不同的标准值进行比较,以评估沉积物中重金属的毒性水平。还计算了风险指数(CF、PLI和PER),以了解金属的毒性水平。进行了多变量统计分析(Pearson相关性分析、聚类分析和因子分析),以了解沉积物特征与重金属之间的相互关系。通过该分析证实,粘土和有机物含量在提高重金属含量以及PLI和PER(毒性水平)方面起着重要作用。与大量样品相比,样品(从大量样品中去除粉砂和粘土部分后)的重金属浓度及其风险指数有所降低。