In this study, atmospheric bioaerosol particles were collected from March to December 2015 in the coastal region of Qingdao. The dominant fungi were identified, and the concentrations and size distributions of bacteria, total fungi and dominant fungi were measured. The most dominant fungal taxon was Cladosporium, followed by Alternaria, Penicillium and Aspergillus . The concentrations of fungi showed significant seasonal variation ( p < 0.05) and peaked in summer, while bacterial concentrations peaked in autumn without significant seasonal differences. The particle size of fungi showed a similar normal distribution, peaking at 2.1 to 3.3 μm, while that of bacteria presented a skewed distribution pattern with a peak at > 7.0 μm. The size patterns of the four dominant fungi were distinct due to their respective properties. With correlation analysis, we found PM 10 , CO and NO 2 were positively associated with the bacterial concentration. The factors correlated with fungal concentrations included temperature, relative humidity, CO, NO 2 , SO 2 and O 3 . The results of RDA showed that the most important meteorological factors affecting the microorganism species composition were temperature and relative humidity, and the dominant air pollutants were SO 2 , CO and O 3 . We selected related parameters to conduct multiple linear regression analysis to explore the synergistic effects on a given microorganism. The contribution to the rate of changes in bacterial and fungal concentrations caused by related factors was less than 30%, indicating that the sources and community changes had a great influence on bioaerosol concentrations. The more detailed the classification of microorganisms is, the more specific correlation information may be obtained through our analysis method.

中文翻译：

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沿海地区气溶胶颗粒中可培养真菌和细菌的微生物特征

本研究于 2015 年 3 月至 12 月在青岛沿海地区收集了大气生物气溶胶颗粒。确定优势真菌，并测量细菌、总真菌和优势真菌的浓度和大小分布。最主要的真菌分类单元是枝孢菌属，其次是链格孢属、青霉属和曲霉属。真菌浓度表现出显着的季节性变化（p < 0.05）并在夏季达到峰值，而细菌浓度在秋季达到峰值，没有明显的季节性差异。真菌的粒径呈现相似的正态分布，峰值为 2.1 至 3.3 μm，而细菌的粒径呈现偏斜分布模式，峰值 > 7.0 μm。四种优势真菌的大小模式因其各自的特性而不同。通过相关性分析，我们发现PM 10 、CO 和NO 2 与细菌浓度呈正相关。与真菌浓度相关的因素包括温度、相对湿度、CO、NO 2 、SO 2 和O 3 。RDA结果表明，影响微生物种类组成最重要的气象因素是温度和相对湿度，主要的空气污染物是SO 2 、CO和O 3 。我们选择相关参数进行多元线性回归分析，以探索对给定微生物的协同作用。相关因素对细菌和真菌浓度变化率的贡献小于30%，说明来源和群落变化对生物气溶胶浓度影响较大。