Pinus eldarica (L.) bark as urban atmospheric trace element pollution bioindicator: pollution status, spatial variations, and quantitative source apportionment based on positive matrix factorization receptor model

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Shima Akbarimorad, Soheil Sobhanardakani, Nayereh Sadat Hosseini, David Bolonio Martín
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Abstract

In this study, a total of 180 Pinus eldarica bark samples were collected from different regions of Hamedan megacity, Iran, in 2023, and contents of Cd, Cr, Cu, Mn, Ni, Pb, and Zn in the samples were determined using ICP-OES. The results illustrated that the average contents of all the analyzed elements were greater than those in the background contents, which presumably demonstrated anthropogenic sources of these potentially toxic elements (PTEs). The greatest concentrations of the analyzed PTEs for different functional areas were observed in specimens collected from commercial or industrial areas, indicating the impact of human entries. The I-geo values were in the range of “unpolluted to moderately polluted” to “moderately to heavily polluted”, PI showed “moderate to very high pollution”, and PLI reflected high to very high pollution levels for the whole study area. Additionally, the cumulative mean value of ecological risk (RI) was found to be 152, demonstrating moderate ecological risk across the study area. The results of positive matrix factorization (PMF) showed that the PTE contamination in the air of Hamedan could mainly have an anthropogenic origin (82.7%) and that the traffic emissions as the primary pollution source (33.6%) make the highest contribution to the PTE pollution and ecological risks in the study area. In residential areas, demolition and construction activities could be considered the main sources of PTEs, while in commercial and industrial areas traffic emissions and industrial emissions, could be regarded as the main sources of such pollution, respectively. In conclusion, this study provides a useful approach to identifying the sources and contributions of the toxic elements in different functional areas and can inform future endeavors that aim at managing and controlling metal element pollution.

Abstract Image

作为城市大气痕量元素污染生物指标的欧洲赤松(Pinus eldarica (L.))树皮:污染状况、空间变化和基于正矩阵因子化受体模型的定量源分配。
本研究于 2023 年从伊朗哈马丹特大城市的不同地区共采集了 180 份赤松树皮样本,并使用 ICP-OES 对样本中的镉、铬、铜、锰、镍、铅和锌含量进行了测定。结果表明,所有分析元素的平均含量均高于背景含量,这表明这些潜在有毒元素(PTEs)可能来自人类活动。从商业区或工业区采集的样本中观察到,不同功能区中分析出的潜在有毒元素的浓度最高,这表明人为进入的影响。I-geo 值介于 "未受污染到中度污染 "到 "中度到重度污染 "之间,PI 显示 "中度到极重度污染",而 PLI 则反映了整个研究区域的高到极重度污染水平。此外,生态风险累积均值(RI)为 152,表明整个研究区域的生态风险为中度。正矩阵因式分解(PMF)结果表明,哈马丹空气中的 PTE 污染主要来源于人为因素(82.7%),而交通排放作为主要污染源(33.6%)对研究区域的 PTE 污染和生态风险贡献最大。在居民区,拆迁和建筑活动可被视为 PTE 的主要来源,而在商业区和工业区,交通排放和工业排放可分别被视为此类污染的主要来源。总之,这项研究为确定不同功能区有毒元素的来源和贡献提供了一种有用的方法,可为今后旨在管理和控制金属元素污染的工作提供参考。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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