Vertical variations in the concentration and community structure of airborne microbes in PM2.5

被引:20
作者
Bai, Wenyan [1 ]
Li, Yanpeng [1 ,2 ,3 ]
Xie, Wenwen [1 ]
Ma, Tianfeng [1 ]
Hou, Junli [1 ]
Zeng, Xuelin [1 ]
机构
[1] Changan Univ, Sch Water & Environm, Yanta Rd 126, Xian 710054, Peoples R China
[2] Minist Educ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Xian 710054, Peoples R China
[3] Xian Univ Architecture & Technol China, State Key Lab Green Bldg Western China, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Bioaerosols; Vertical variations; Air pollution; Bacterial community; ASIAN-DUST; BACTERIAL COMMUNITIES; CHEMICAL-COMPOSITION; SIZE DISTRIBUTION; AIR-QUALITY; HAZE DAYS; BIOAEROSOLS; ATMOSPHERE; PM10; XIAN;
D O I
10.1016/j.scitotenv.2020.143396
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the recent rapid development of urbanization, severe air pollution events frequently occur in China. Subsequently, variations of bioaerosols during air pollution events have attracted increasing attention in recent years. However, most published studies on bioaerosols mainly focus on the characteristics of airborne bacteria and fungi at a certain height near the ground surface. The vertical variations inmicrobial aerosols at different heights are notwell understood. In this study, PM2.5 samples at three heights (1.5 m, 100 m and 229.5 m) were collected fromSeptember 2019 to January 2020 in Xi'an, China. The sampleswere then analyzed by a fluorescence staining and high-throughput sequencing to explore the vertical variations in the concentration and community structure of the airborne bacteria. The results show that the microbial concentration in PM2.5 decreased with increasing height on polluted days, while there was no significant difference at different heights on non-polluted days (p > 0.05). The bacterial community structures were similar at different heights on polluted days; however, on non-polluted days, the bacterial community structure at 229.5 m was significantly different from that at the other heights. Importantly, meteorological factors had more significant effects on the bacterial community at 229.5 m than at 1.5 m and 100 m. The present results can improve the understanding of vertical distribution of bioaerosols and their diffusion process. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Variations Variations of bacteria and fungi in PM2.5 in Beijing, China
    Du, Pengrui
    Du, Rui
    Ren, Weishan
    Lu, Zedong
    Zhang, Yang
    Fu, Pingqing
    ATMOSPHERIC ENVIRONMENT, 2018, 172 : 55 - 64
  • [2] Comparison of Bacterial Community Structure in PM2.5 within Broiler Houses under Different Rearing Systems in China
    Khan, Imran
    Wang, Wenxing
    Ye, Xiaobin
    Isa, Adamu Mani
    Khan, Muhammad Tariq
    Sa, Renna
    Liu, Lei
    Ma, Teng
    Zhang, Hongfu
    SUSTAINABILITY, 2022, 14 (03)
  • [3] Mass Concentration Variations Characteristics of PK and PM2.5 in Guangzhou (China)
    Liu, Runping
    Fan, Fenglei
    2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,
  • [4] Using a Citizen-installed Network of PM2.5 Sensors to Predict Hourly PM2.5 Airborne Concentration
    Nastic, Filip
    Jurisevic, Nebojsa
    Konalovic, Davor
    WATER AIR AND SOIL POLLUTION, 2025, 236 (02)
  • [5] Airborne bacterial community associated with fine particulate matter (PM2.5) under different air quality indices in Temuco city, southern Chile
    Acuna, Jacquelinne J.
    Ruiz-Gil, Tay
    Marileo, Luis
    Carrazana, Elizabeth
    Rilling, Joaquin
    Campos, Marco
    Correa-Araneda, Francisco
    Fujiyoshi, So
    Jorquera, Milko A.
    ARCHIVES OF MICROBIOLOGY, 2022, 204 (02)
  • [6] Spatial distribution of source areas of PM2.5 by Concentration Weighted Trajectory (CWT) model applied in PM2.5 concentration and composition data
    Dimitriou, Konstantinos
    Remoundaki, Emmanouella
    Mantas, Evangelos
    Kassomenos, Pavlos
    ATMOSPHERIC ENVIRONMENT, 2015, 116 : 138 - 145
  • [7] Characteristics of airborne bacterial communities across different PM2.5 levels in Beijing during winter and spring
    Zhang, Yangyang
    Guo, Chongjing
    Ma, Ke
    Tang, Aohan
    Goulding, Keith
    Liu, Xuejun
    ATMOSPHERIC RESEARCH, 2022, 273
  • [8] Evolution of PM2.5 bacterial community structure in Beijing's suburban atmosphere
    Chen, Hanlin
    Du, Rui
    Zhang, Yongtao
    Du, Pengrui
    Zhang, Sujian
    Ren, Weishan
    Yang, Mei
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 799
  • [9] Metal concentration of PM2.5 and PM10 particles and seasonal variations in urban and rural environment of Agra, India
    Kulshrestha, Aditi
    Satsangi, P. Gursumeeran
    Masih, Jamson
    Taneja, Ajay
    SCIENCE OF THE TOTAL ENVIRONMENT, 2009, 407 (24) : 6196 - 6204
  • [10] Temporal variations of PM2.5 and PM10 concentration over Hyderabad
    Ajay Kumar M.C.
    Vinay Kumar P.
    Venkateswara Rao P.
    Nature Environment and Pollution Technology, 2020, 19 (05) : 1871 - 1878