Experimental study of the air pollution transport by synchronised monitoring of atmospheric aerosols

被引:4
|
作者
Vana, M [1 ]
Tamm, E
Viil, M
机构
[1] Tartu State Univ, Inst Environm Phys, EE-50090 Tartu, Estonia
[2] Tartu State Univ, Inst Stat Math, EE-50090 Tartu, Estonia
关键词
aerosol spectrum; long-range transport; cross-correlation; local and distant sources;
D O I
10.1016/S1352-2310(99)00259-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particulate pollution transport is estimated by means of cross-correlation and regression analyses. The aerosol particle size number spectrum in the form of 12 fraction concentrations is measured in units cm(-3) (particles per cm(3)) every 10 minutes during three approximately 20-day measurement campaigns simultaneously in two measurement points in Estonia. The distance between these points is approximately 100 km for two campaigns, and 7 km for the third campaign. Two electrical aerosol spectrometers designed at Tartu University, having a wide particle diameter range(10 nm-10 mu m), are used. The spectrometer's record is the mean particle spectrum for the 10 min measurement time. The air pollution transport is investigated during the time intervals when the air mass moves from one measurement point towards the other. The time series of aerosol size fraction concentrations for both locations are prewhitened to eliminate autocorrelation and to achieve stationary series of the ARIMA residuals. Then the cross-correlation function of these two series of residuals is calculated The time lag corresponding to the mode of this function is treated as the mean time of pollution transport from the windward measurement point to the leeward one. For the submicron aerosol fraction (d = 60 nm-1 mu m) 3-5 h time lags are found. Mostly these time lags coincide with the mean wind velocities on some of the pressure levels (ground, 850 and 700 hPa) available in the study. In cross-wind cases the fraction concentrations measured in two points separated by 100 km were uncorrelated, but for the two points separated by 7 km there was quite a high correlation with zero time lag. The part of local and distant sources in the formation of the particle concentration in the leeward location is estimated by regression analysis. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:4615 / 4628
页数:14
相关论文
共 50 条
  • [1] Study of the air pollution propagation by synchronized monitoring of atmospheric aerosols
    Tamm, E.
    Vana, M.
    [J]. Journal of Aerosol Science, 1995, 26 (Suppl 1)
  • [2] AIR TRANSPORT AND ATMOSPHERIC POLLUTION
    PIANKO, M
    [J]. AERONAUTIQUE ASTRONAUTIQUE, 1977, (64): : 3 - 8
  • [3] Atmospheric air pollution monitoring
    Bhargava, RN
    [J]. INDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCES, 1998, 5 (04) : 249 - 254
  • [4] Aerosols detection for urban air pollution monitoring
    Beaulant, Anne-Lise
    Wald, Lucien
    [J]. REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XI, 2006, 6362
  • [5] Monitoring and analytics of atmospheric air pollution
    Namiesnik, J
    Wardencki, W
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2002, 11 (03): : 211 - 218
  • [6] Aerosols Analysis by LIBS for Monitoring of Air Pollution by Industrial Sources
    Gallou, G.
    Sirven, J. B.
    Dutouquet, C.
    Le Bihan, O.
    Frejafon, E.
    [J]. AEROSOL SCIENCE AND TECHNOLOGY, 2011, 45 (08) : 918 - 926
  • [7] OPERATIONAL MODEL FOR ATMOSPHERIC TRANSPORT AND DEPOSITION OF AIR POLLUTION
    Mazur, Andrzej
    Bartnicki, Jerzy
    Zwozdziak, Jerzy
    [J]. ECOLOGICAL CHEMISTRY AND ENGINEERING S-CHEMIA I INZYNIERIA EKOLOGICZNA S, 2014, 21 (03): : 385 - 400
  • [8] Intercontinental transport of pollution and dust aerosols: implications for regional air quality
    Chin, Mian
    Diehl, T.
    Ginoux, P.
    Malm, W.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 (21) : 5501 - 5517
  • [9] Effects of atmospheric transport and trade on air pollution mortality in China
    Zhao, Hongyan
    Li, Xin
    Zhang, Qiang
    Jiang, Xujia
    Lin, Jintai
    Peters, Glen G.
    Li, Meng
    Geng, Guannan
    Zheng, Bo
    Huo, Hong
    Zhang, Lin
    Wang, Haikun
    Davis, Steven J.
    He, Kebin
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (17) : 10367 - 10381
  • [10] Aerosols monitoring in Rio Claro, Brazil: Using lidar and air pollution analyzers
    Mariano, Glauber Lopes
    Lopes, Fabio J.
    Steffens, Juliana
    Pereira Martin, Maria Paulete
    Landulfo, Eduardo
    Held, Gerhard
    dos Anjos, Sergio
    [J]. OPTICA PURA Y APLICADA, 2011, 44 (01): : 55 - 64