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Study of parameters affecting the behaviour of trace elements in a polluted estuary. Canonical correlation analysis as a tool in environmental impact assessment

机译:研究影响河口中痕量元素行为的参数。典型相关分析作为环境影响评估的工具

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摘要

Understanding metal behaviour in estuaries is a difficult task. It involves highly dynamic systems continuously subjected to fast changes in environmental conditions governed by alternating physico-chemical parameters and human activity. In order to distinguish the most important environmental factors that determine the behaviour of trace elements in a polluted estuary, water (superficial and deep, at low and high tides) and sediment samples were collected along the Nerbioi-Ibaizabal River estuary (Basque Country, Spain) every three months for six years. The environmental dataset consisted on the concentration of trace elements (Al, As, Cd, Co, Cu, Cr, Fe, Mg, Mn, Ni, Pb, Sn, V and Zn in sediment samples and eight of them in water samples) and physico-chemical properties (temperature, redox potential, dissolved oxygen percentage, conductivity, pH for water samples and also the content of carbonates, total organic carbon (TOC), humic acids (HA) and fulvic acids (FA) in sediment samples). The study of these datasets with canonical correlation analysis revealed the existence of a strong link between different physico-chemical properties and the concentration of certain metals in the estuary. In sediments, for example, strong correlations were found between the carbonate content and some of the studied trace elements. In the water, on the other hand, evident relationships were found between the salinity and the pollutants.
机译:了解河口的金属行为是一项艰巨的任务。它涉及高度动态的系统,这些系统在不断变化的理化参数和人类活动所控制的环境条件下不断变化。为了区分决定污染河口中微量元素行为的最重要的环境因素,沿Nerbioi-Ibaizabal河河口(巴斯克地区,西班牙)收集了水(浅层和深层,低潮和高潮时)和沉积物样本),每三年六个月。环境数据集包括微量元素(沉积物样品中的Al,As,Cd,Co,Cu,Cr,Fe,Mg,Mn,Ni,Pb,Sn,V和Zn和水中的八个元素)的浓度和理化特性(温度,氧化还原电势,溶解氧百分比,电导率,水样品的pH值,以及沉积物样品中碳酸盐,总有机碳(TOC),腐殖酸(HA)和富里酸(FA)的含量)。通过典范的相关性分析对这些数据集进行的研究表明,不同的理化特性与河口某些金属的浓度之间存在很强的联系。例如,在沉积物中,发现碳酸盐含量与某些已研究的痕量元素之间具有很强的相关性。另一方面,在水中,盐度和污染物之间存在明显的关系。

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