Variations in PM2.5 Surface Concentration in Moscow according to Observations at MSU Meteorological Observatory

被引:24
|
作者
Gubanova D.P. [1 ,2 ]
Belikov I.B. [1 ]
Elansky N.F. [1 ]
Skorokhod A.I. [1 ]
Chubarova N.E. [3 ]
机构
[1] Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow
[2] Karpov Scientific Research Institute of Physics and Chemistry, Moscow
[3] Moscow State University, Moscow
基金
俄罗斯科学基金会; 俄罗斯基础研究基金会;
关键词
aerosol optical depth; aerosols; atmospheric composition; atmospheric pollutants; PM[!sub]2.5[!/sub] mass concentration; tracees;
D O I
10.1134/S1024856018030065
中图分类号
学科分类号
摘要
We considered Moscow-specific features of time variations in PM2.5 mass concentration in the surface air layer as a function of a number of atmospheric parameters such as the concentrations of certain atmospheric trace gases, aerosol optical depth, surface air temperature, humidity, and wind speed. The time series of concentrations of PM2.5 and gaseous pollutants SO2, NH3, NOx, CO, and O3, obtained during continuous observations in 2011–2013, were analyzed. We studied the diurnal and seasonal variations in concentrations of PM2.5 and the trace gases, revealed correlations between them, analyzed variations in PM2.5 concentration as a function of concentration of certain gases participating in the formation of atmospheric aerosols, and as a function of meteorological parameters. Data on PM2.5 surface concentrations are compared with measurements of aerosol optical depth. © 2018, Pleiades Publishing, Ltd.
引用
收藏
页码:290 / 299
页数:9
相关论文
共 50 条
  • [11] Radiation balance variations of underlying surface from the long-term observations of the Meteorological Observatory of the Moscow State University
    Gorbarenko, E. V.
    Abakumova, G. M.
    RUSSIAN METEOROLOGY AND HYDROLOGY, 2011, 36 (06) : 383 - 391
  • [12] Radiation balance variations of underlying surface from the long-term observations of the Meteorological Observatory of the Moscow State University
    E. V. Gorbarenko
    G. M. Abakumova
    Russian Meteorology and Hydrology, 2011, 36 : 383 - 391
  • [13] Spatial heterogeneity of meteorological elements and PM2.5: Joint environmental-meteorological effects on PM2.5 in a Cold City
    Han, Dongliang
    Wang, Mingqi
    Zhang, Tiantian
    Zhang, Xuedan
    Liu, Jing
    Tan, Yufei
    URBAN CLIMATE, 2024, 58
  • [14] 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,
  • [15] Vertical variations in the concentration and community structure of airborne microbes in PM2.5
    Bai, Wenyan
    Li, Yanpeng
    Xie, Wenwen
    Ma, Tianfeng
    Hou, Junli
    Zeng, Xuelin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 760 (760)
  • [16] Surface Acoustic Wave Sensors for PM2.5 and PM10 Concentration
    Djoumi, Lyes
    Blondeau-Patissier, Virginie
    Vanotti, Meddy
    Appert-Collin, Jean-Christophe
    Thomas, Dominique
    Fertier, Laurent
    PROCEEDINGS OF THE 30TH ANNIVERSARY EUROSENSORS CONFERENCE - EUROSENSORS 2016, 2016, 168 : 696 - 699
  • [17] Influences of ambient air PM2.5 concentration and meteorological condition on the indoor PM2.5 concentrations in a residential apartment in Beijing using a new approach
    Han, Yang
    Qi, Meng
    Chen, Yilin
    Shen, Huizhong
    Liu, Jing
    Huang, Ye
    Chen, Han
    Liu, Wenxin
    Wang, Xilong
    Liu, Junfeng
    Xing, Baoshan
    Tao, Shu
    ENVIRONMENTAL POLLUTION, 2015, 205 : 307 - 314
  • [18] Analysis of the Correlation between the Concentration of PM2.5 in the Outside Atmosphere and the Concentration of PM2.5 in the Subway Station
    Lee, Yeawan
    Kim, Ye-Sle
    Lee, Haneol
    Kim, Yong-Jin
    Han, Bangwoo
    Kim, Hak-Joon
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2022, 38 (01) : 1 - 12
  • [19] Estimation of PM2.5 concentration considering meteorological factors, policy, and interregional atmospheric transport
    Yang, J.
    Liu, S.
    Geng, Q.
    Chen, G.
    Wang, Y.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022, 19 (09) : 8479 - 8490
  • [20] Short-Term PM2.5 Concentration Prediction by Combining GNSS and Meteorological Factors
    Wen, Hongfeng
    Dang, Yamin
    Li, Liwei
    IEEE ACCESS, 2020, 8 : 115202 - 115216