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Heavy metals relationship with water and size-fractionated sediments in rivers using canonical correlation analysis (CCA) case study, rivers of south western Caspian Sea

机译:典范相关分析(CCA)案例研究河流中重金属与水和大小分级沉积物的关系,西南里海

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摘要

Some pollutants can qualitatively affect aquatic freshwater such as rivers, and heavy metals are one of the most important pollutants in aquatic fresh waters. Heavy metals can be found in the form of components dissolved in these waters or in compounds with suspended particles and surface sediments. It can be said that heavy metals are in equilibrium between water and sediment. In this study, the amount of heavy metals is determined in water and different sizes of sediment. To obtain the relationship between heavy metals in water and size-fractionated sediments, a canonical correlation analysis (CCA) was utilized in rivers of the southwestern Caspian Sea. In this research, a case study was carried out on 18 sampling stations in nine rivers. In the first step, the concentrations of heavy metals (Cu, Zn, Cr, Fe, Mn, Pb, Ni, and Cd) were determined in water and size-fractionated sediment samples. Water sampling sites were classified by hierarchical cluster analysis (HCA) utilizing squared Euclidean distance with Ward's method. In addition, for interpreting the obtained results and the relationships between the concentration of heavy metals in the tested river water and sample sediments, canonical correlation analysis (CCA) was utilized. The rivers were grouped into two classes (those having no pollution and those having low pollution) based on the HCA results obtained for river water samples. CCA results found numerous relationships between rivers in Iran's Guilan province and their size-fractionated sediments samples. The heavy metals of sediments with 0.038 to 0.125 mm size in diameter are slightly correlated with those of water samples.
机译:有些污染物可以定性地影响河流等水生淡水,而重金属是水生淡水中最重要的污染物之一。重金属可以以溶解在这些水中的成分形式或带有悬浮颗粒和表面沉积物的化合物形式发现。可以说,重金属在水和沉积物之间处于平衡状态。在这项研究中,水中和不同大小的沉积物中的重金属含量是确定的。为了获得水中重金属与大小分级沉积物之间的关系,在西南里海的河流中采用了典型相关分析(CCA)。在这项研究中,对九条河流中的18个采样站进行了案例研究。第一步,确定水和大小分级沉积物样品中重金属(Cu,Zn,Cr,Fe,Mn,Pb,Ni和Cd)的浓度。利用沃德方法,利用平方的欧几里德距离,通过层次聚类分析(HCA)对水采样点进行分类。另外,为了解释获得的结果以及被测河水中的重金属浓度与样品沉积物之间的关系,使用了规范相关分析(CCA)。根据河流水样的HCA结果,将河流分为两类(无污染和低污染)。 CCA结果发现伊朗桂兰省的河流与其大小分级的沉积物样本之间存在多种关系。直径为0.038至0.125 mm的沉积物中的重金属与水样中的重金属之间存在轻微的相关性。

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