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Characteristics of trace metals in fine ambient particles in Korea

机译:韩国环境微粒中微量金属的特征

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In this study, using instrumental neutron activation analysis we undertook the measurements of about 30 metal elements in airborne PM 2.5 samples that were collected from a roadside sampling station at moderately polluted urban area of Taejon city located in the southwestern region of Korea. Based on our metal measurement data, we attempted to elucidate the metal distribution characteristics of fine ambient particles. We also examined the inter-metal relationships and the factors affecting source processes through the application of diverse statistical approaches. The distribution patterns of metals were clearly distinguished among metals with their concentrations ranging over four orders of magnitude. The means for Lu and Dy were found to be the lowest at values of 0.01 and 0.04 ng m~(-3), while those for K and Fe showed the highest value of 671 and 653 ng m~(-3), respectively. The results of correlation analysis showed that PM 2.5 concentrations can exhibit much more enhanced correlations with the metals of earth crustal components. The results of FA analysis indicate that there are no more than six factors with statistical significance, which appeared to play roles in regulating the metal concentration levels in the area. These six factors can cover as much as 82.6 % of total variance. Enrichment factor analysis supports explicit interpretation of results found by this factor analysis.
机译:在这项研究中,我们使用仪器中子活化分析,对从位于韩国西南部大田市中度污染城市地区的路边采样站收集的机载PM 2.5样品中约30种金属元素进行了测量。根据我们的金属测量数据,我们试图阐明环境微粒的金属分布特征。我们还通过应用多种统计方法研究了金属间的关系以及影响源过程的因素。在金属之间的浓度范围超过四个数量级的金属中,金属的分布模式明显不同。发现Lu和Dy的平均值最低,分别为0.01和0.04 ng m〜(-3),而K和Fe的平均值分别最高,分别为671和653 ng m〜(-3)。相关分析结果表明,PM 2.5浓度与地壳组分金属的相关性更高。 FA分析的结果表明,具有统计意义的因素不超过6个,这些因素似乎在调节该区域的金属浓度水平中起作用。这六个因素可以覆盖总差异的82.6%。富集因子分析支持对该因子分析发现的结果进行明确的解释。

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