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Analytical Method for Biomonitoring of PAH Using Leaves of Bitter Orange Trees (Citrus aurantium): a Case Study in South Spain

机译:苦橙树叶片对PAH的生物监测分析方法:以西班牙南部为例

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In this work, an analytical method for the determination of the 16 polycyclic aromatic hydrocarbons (PAHs), classified as priority pollutants by the US Environmental Protection Agency (EPA), on bitter orange leaves has been optimised and validated. The method has been applied to the evaluation of the applicability of leaves of bitter orange tree as a bioindicator of urban atmospheric pollution by these contaminants. Leaves of bitter orange trees were collected from 13 sampling points in Seville city (South of Spain). Sampling points were located in high-density traffic streets (n = 5), in low-density traffic streets (n = 5) and in urban parks (n = 3). Fourteen of the 16 PAHs monitored were detected in bitter orange leaves. The highest mean concentrations corresponded to BaA, Phen, Pyr and Flt. The concentrations in high-density traffic streets were similar to those in low-density traffic streets. Lower concentrations were found in leaves from parks. PAH diagnostic ratios were applied to identify and to assess pollution emission sources. Diagnostic ratios obtained were consistent with traffic emissions as the main source of PAH to urban air. Based on the obtained results, leaves from bitter orange trees appears to be a promising inexpensive passive sampler suitable for extensive sampling in time and space that can be applied to evaluate risk assessment of urban population to PAH air pollution.
机译:在这项工作中,一种用于确定16种多环芳烃(PAH)的分析方法已经过优化和验证,该分析方法被美国环境保护署(EPA)列为优先污染物,被美国环境保护署(EPA)列为优先污染物。该方法已用于评价苦橙叶作为这些污染物对城市大气污染的生物指标的适用性。从塞维利亚市(西班牙南部)的13个采样点收集了苦橙树的叶子。采样点位于高密度交通街(n = 5),低密度交通街(n = 5)和城市公园(n = 3)中。在苦橙叶中检测到16种PAH中的14种。最高平均浓度对应于BaA,Phen,Pyr和Flt。高密度交通街道的浓度与低密度交通街道的浓度相似。在公园的叶子中发现较低的浓度。应用PAH诊断率来识别和评估污染排放源。获得的诊断率与作为城市空气中PAH的主要来源的交通排放量一致。根据获得的结果,苦橙树的叶子似乎是一种有前途的廉价被动采样器,适合在时间和空间上进行大量采样,可用于评估城市人口对PAH空气污染的风险评估。

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