叶尘中的重金属:利用红枣叶估算机动车污染水平

IF 1.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Ahmed Abou Elezz, Noora Al-Naimi, Hamood Abdulla Alsaadi, Azenith B. Castillo
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引用次数: 0

摘要

本研究调查了紫竹叶作为车辆交通相关空气污染的生物指标。分析主要集中在叶片表面的金属浓度升高。采用电感耦合等离子体发射光谱法(ICP-OES)分析了青竹叶片积尘中铝(Al)、钡(Ba)、镉(Cd)、铬(Cr)、铜(Cu)、钙(Ca)、铁(Fe)、钾(K)、镁(Mg)、锰(Mn)、铅(Pb)、锌(Zn)等金属的存在。利用ArcGIS绘制了各研究点金属浓度的空间分布图。研究表明,铝、铬、铁、铜和锌等金属与车辆交通有很强的相关性,而钙和镁的相关性较弱。钡显示出适度的相关性,表明存在其他排放源。污染负荷指数(PLI)和污染因子(CF)评估表明,研究地点的污染水平中等,元素间相关性强,表明共同的排放源主要与交通相关活动有关。形态研究和金属浓度的空间分布与化学分析结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Heavy Metals in Foliar Dust: Utilizing Ziziphus spina-christi Leaves in Estimating Levels of Vehicular Pollution

Heavy Metals in Foliar Dust: Utilizing Ziziphus spina-christi Leaves in Estimating Levels of Vehicular Pollution

The study investigates the Ziziphus spina-christi leaves as bioindicators for vehicular traffic-related air pollution. The analysis primarily focused on the elevated concentration of metals built up on the leaf surface. The accumulated dust on the leaves of Z. spina-christi was analyzed for the presence of several metals, including aluminum (Al), barium (Ba), cadmium (Cd), chromium (Cr), copper (Cu), calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn), lead (Pb), and zinc (Zn), using inductively coupled plasma optical emission spectrometry (ICP-OES). ArcGIS was used to map the spatial distribution of metal concentrations across the study sites. The study revealed strong correlations among metals, such as Al, Cr, Fe, Cu, and Zn with vehicular traffic, whereas Ca and Mg exhibited weaker correlations. Barium showed a moderate correlation, suggesting the presence of other emission sources. The pollution load index (PLI) and contamination factor (CF) assessments indicated moderate contamination levels at the study sites, and strong inter-elemental correlations suggested shared emission sources, primarily linked to traffic-related activities. The morphological study and the spatial distribution of metal concentrations were consistent with the data obtained from the chemical analysis.

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来源期刊
Clean-soil Air Water
Clean-soil Air Water 环境科学-海洋与淡水生物学
CiteScore
2.80
自引率
5.90%
发文量
88
审稿时长
3.6 months
期刊介绍: CLEAN covers all aspects of Sustainability and Environmental Safety. The journal focuses on organ/human--environment interactions giving interdisciplinary insights on a broad range of topics including air pollution, waste management, the water cycle, and environmental conservation. With a 2019 Journal Impact Factor of 1.603 (Journal Citation Reports (Clarivate Analytics, 2020), the journal publishes an attractive mixture of peer-reviewed scientific reviews, research papers, and short communications. Papers dealing with environmental sustainability issues from such fields as agriculture, biological sciences, energy, food sciences, geography, geology, meteorology, nutrition, soil and water sciences, etc., are welcome.
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