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A study on the spatial and temporal variability in airborne Betula pollen concentration in five cities in Poland using multivariate analyses

机译:应用多变量分析研究波兰五个城市中空气中桦木花粉浓度的时空变化

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During the spring period, Betula pollen is the main cause of inhalant allergies in Poland and therefore it is important to monitor and forecast airborne pollen concentrations of this taxon. This study conducted a comparative analysis of the basic characteristics of Betula pollen seasons at the regional scale. The study was carried out from 2001 to 2016 in five cities in Poland: Lublin, Warsaw, Cracow, Sosnowiec, and Szczecin. To find the attributes of birch pollen seasons that mostly differentiated the individual cities, a general discriminant analysis (GDA) was performed, while a principal component analysis (PCA) allowed us to reduce the data space and present a scatterplot of PCA scores in order to compare pollen seasons in the individual cities. The contingency table was also analyzed to check whether there was a significant relationship between pollen counts in the studied years and cities. At most of the sites, biennial cycles of low and high pollen concentrations can be observed. Due to the high variation in seasons in each of these cities, two data groups were distinguished: Group 1 was composed of seasons with high pollen deposition (2001, 2003, 2006, 2008, 2010, 2012, 2014, 2016), and Group 2 comprising the other seasons. Multivariate analyses were performed on both these groups as well as in the entire dataset. End98, Peak Value, and Annual Total had the highest discriminant power. In Group 1, Warsaw and Sosnowiec differed the most in the investigated parameters, while Cracow and Szczecin differed the least. In both groups, most seasons with the highest pollen birch concentration were observed in Lublin, followed by Warsaw, while in Cracow, the number of such seasons was the smallest. (C) 2019 The Authors. Published by Elsevier B.V.
机译:在春季,桦木花粉是波兰吸入性过敏的主要原因,因此,监测和预测该分类单元的空气中花粉浓度非常重要。这项研究对区域规模的桦花粉季节的基本特征进行了比较分析。该研究于2001年至2016年在波兰的五个城市进行:卢布林,华沙,克拉科夫,索斯诺维茨和什切青。为了找到桦木花粉季节的主要区别在于各个城市的属性,进行了一般判别分析(GDA),而主成分分析(PCA)则使我们能够减少数据空间并显示PCA分数散点图,从而比较各个城市的花粉季节。还分析了列联表,以检查所研究年份和城市之间的花粉计数之间是否存在显着关系。在大多数地点,可以观察到低和高花粉浓度的两年周期。由于每个城市的季节差异很大,因此区分了两个数据组:第1组由花粉沉积较高的季节组成(2001、2003、2006、2008、2010、2012、2014、2016),第2组包括其他季节。对这两个组以及整个数据集都进行了多变量分析。 End98,峰值和年度总计具有最高的判别力。在第1组中,华沙和Sosnowiec在研究参数上的差异最大,而克拉科夫和什切青的差异最小。在两组中,在鲁布林观察到大多数花粉桦树浓度最高的季节,其次是华沙,而在克拉科夫观察到此类季节的数量最少。 (C)2019作者。由Elsevier B.V.发布

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