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Application of the normalization process in the survey of atmospheric deposition of heavy metals in Albania through moss biomonitoring

机译:归一化过程在苔藓生物监测技术在阿尔巴尼亚大气重金属沉积调查中的应用

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The present paper concerns the study of atmospheric deposition of heavy metals, using a carpet-forming-moss species (Hypnum cupressiforme) as a bioindicator. It provides a complementary method to evaluate elemental deposition from the atmosphere to terrestrial systems. Compared with conventional precipitation analysis, it is an easier and cheaper method that ensures a high sampling density over the monitored area. The moss samples were collected over the whole territory of the country by following, more or less, a systematic sampling scheme, which is often used in environmental studies because it is convenient to implement in field campaigns, often providing good precision and complete coverage of the target population compared with random sampling. The 2010/2011 ICP vegetation moss survey data were used in this study. The unwashed, dried samples were digested completely by the microwave digestion method. The concentration (C) of selected trace metals (As, Cr, Cu, Ni, V and Zn) and conservative metals (Al, Li and Fe) were determined by ICP-AES and MS (Cd and As) methods. To characterize the natural and the anthropogenic pattern of heavy metal deposition throughout the whole territory, the normalization process using lithium as a normalizing element was carried out on the C data for 11 elements of 44 moss samples. The obtained data set was used to compensate the natural variability of trace metals, so that the anthropogenic metal contributors could be detected and quantified. Descriptive statistics and multivariate analyses were used for the statistical treatment of the normalized concentration (NC) data using the MINITAB 17 software package. The statistical parameters of the NC data are discussed. The level of contamination was evaluated by calculating the enrichment factors, whereas the most probable local anthropogenic emitter sources were identified. The statistical analysis of NC data demonstrated that the normalization process is useful for evaluating the relative contributions of anthropogenic and natural sources of elemental deposition from the atmosphere to terrestrial systems, when the main pollution sources are from fine dust particles. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文涉及使用形成地毯的苔藓物种(Hypnum cupressiforme)作为生物指示剂对大气中重金属的沉积进行研究。它提供了一种补充方法来评估元素从大气到地面系统的沉积。与传统的降水分析相比,它是一种更简便,更便宜的方法,可确保在受监控区域内获得高采样密度。通过或多或少遵循系统的采样方案,在全国范围内收集了苔藓样本,该方法常用于环境研究,因为它便于在野外活动中实施,通常提供良好的精度和完整的覆盖范围。目标人群与随机抽样比较。本研究使用2010/2011年ICP植被苔藓调查数据。未洗涤的干燥样品通过微波消解方法完全消解。所选痕量金属(As,Cr,Cu,Ni,V和Zn)和保守金属(Al,Li和Fe)的浓度(C)通过ICP-AES和MS(Cd和As)方法测定。为了表征整个地区重金属沉积的自然和人为模式,对44个苔藓样本中11个元素的C数据进行了以锂为归一化元素的归一化过程。使用获得的数据集来补偿痕量金属的自然变异性,以便可以检测和量化人为金属贡献者。描述性统计和多元分析用于使用MINITAB 17软件包对归一化浓度(NC)数据进行统计处理。讨论了NC数据的统计参数。通过计算富集因子来评估污染水平,同时确定了最可能的当地人为排放源。 NC数据的统计分析表明,当主要污染源来自细尘颗粒时,归一化过程对于评估人为和自然元素从大气到地面系统的相对贡献是有用的。 (C)2015 Elsevier Ltd.保留所有权利。

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