Effects of aerosol pollution on PM2.5-associated bacteria in typical inland and coastal cities of northern China during the winter heating season

被引:54
|
作者
Wei, Min [1 ,2 ]
Liu, Houfeng [1 ,3 ]
Chen, Jianmin [2 ]
Xu, Caihong [2 ]
Li, Jie [1 ]
Xu, Pengju [1 ]
Sun, Ziwen [3 ]
机构
[1] Shandong Normal Univ, Coll Geog & Environm, Jinan 250014, Peoples R China
[2] Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Fudan Tyndall Ctr, Shanghai 200433, Peoples R China
[3] Shandong Normal Univ, Ctr Environm Technol & Policy Res, Jinan 250014, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Fine particulate matter; Air pollution; Airborne bacteria; Opportunistic pathogen; SYNOPTIC WEATHER PATTERNS; METEOROLOGICAL FACTORS; ATMOSPHERIC DISPERSION; PARTICULATE MATTERS; COMMUNITY STRUCTURE; AIRBORNE BACTERIA; DIFFERENT SIZES; AIR-POLLUTION; HAZE DAYS; PM2.5;
D O I
10.1016/j.envpol.2020.114188
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Frequent heavy aerosol pollution occurs during the winter heating season in northern China. Here, we characterized the airborne bacterial community structure and concentration, during typical pollution episodes that occurred during the winter heating season of 2017-2018 in Jinan and Weihai. During this heating season, five and four heavy pollution episodes were observed in Jinan and Weihai, respectively. Compared with December and January, pollution episodes in March were significantly affected by sand dust events. Higher Bacillales were identified in the March samples from Jinan, indicating that sand dust influences bacterial communities. During similar pollution episodes, air pollution in the coastal city of Weihai was lower than the inland city of Jinan. The predominant bacteria included Staphylococcus, Cyanobacteria, Lactobacillus, Deinococcus, Enbydrobacter, Ralstonia, Bacillus, Comamonas, and Sphingomonas. These predominant bacteria are mainly from Proteobacteria, Firmicutes, Cyanobacteria, Actinobacteria, and Bacteroidetes phyla. Bacterial concentration showed significant variation with increased airborne pollutants. The highest concentration appeared during moderate pollution (up to 10(6) cells/m(3)), whereas bacterial concentration decreased during heavy and severe pollution (10(5) cells/m(3)), which may be related to toxic effects of high pollutant concentrations during heavy or severe pollution. Community structure variation indicated that Cyanobacterial genera were dominant in clean or slight pollution. With increased PM2.5, Staphylococcus increased and became the most abundant bacteria in moderate pollution (up to 40%). During heavy or severe pollution, bacteria that are adaptable to harsh or extreme environments predominate, such as Deinococcus and Bacillus. In the assessment of health risks from air pollution, the bioaerosols risks must consider. Additionally, although most microbial genera are similar between the two cities, there are important differences associated with pollution level. During air pollution regulation in different regions with varied geographical and climatic conditions, bioaerosol pollution difference is an unignored factor. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:10
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