Jiang Jiang, Zhang Guoping, Gao Jinbing. Main influencing factors of visibility in Beijing. J Appl Meteor Sci, 2018, 29(2): 188-199. DOI:  10.11898/1001-7313.20180206.
Citation: Jiang Jiang, Zhang Guoping, Gao Jinbing. Main influencing factors of visibility in Beijing. J Appl Meteor Sci, 2018, 29(2): 188-199. DOI:  10.11898/1001-7313.20180206.

Main Influencing Factors of Visibility in Beijing

DOI: 10.11898/1001-7313.20180206
  • Received Date: 2017-08-28
  • Rev Recd Date: 2018-01-18
  • Publish Date: 2018-03-31
  • People's work, life and travel could be affected by the air visibility especially low visibility which has harmful effects on society and traffic safety.In recent years, the cause and variation of visibility become a very important topic in the field of atmosphere and environment research.In light of this, an analysis is carried out on the visibility in Beijing using all available observations.And two typical low visibility events are picked out to analyze in detail.As for Beijing, the most relevant elements of visibility are relative humidity, wind speed and PM2.5 concentration.PM2.5 concentration reduces visibility by extinction for light.Water vapor in the air causes the atmospheric aerosol particles increasing through moisture absorption and changes its characteristics, which brings down the visibility.And when the wind velocity is low, with poor air pollutant diffusion conditions and accumulating particles, the visibility decreases obviously.So it could be concluded that atmospheric visibility depends on both meteorological conditions and air pollution, which differs in different areas because of geographical locations, climatic conditions, and the composition of particulate matter.In brief, the correlation between visibility and wind speed is positive, which means that visibility increases with the increase of wind speed.And correlations among visibility, PM2.5 concentration and relative humidity are both negative, which means that visibility decreases with the increase of relative humidity and PM2.5 concentration.But it is important to point out that once relative humidity reaches a certain threshold (80%), the correlation between visibility and PM2.5 concentration declines, which results in the visibility mainly depending on relative humidity.Generally, the periodic variation of visibility is more consistent with the change of meteorological conditions, and the relationship between visibility and PM2.5 concentration is more complicated.In recent years, the result shows that the visibility in the northwest is obviously higher than that in the southeast including the city center.The annual spatial distribution of visibility turns out to decrease gradually from northwest to southeast.And the highest visibility in a year in Beijing happens in spring and the lowest is in summer.The maximum is in May and the minimum is in July.The lowest visibility in a day happens at about 0600 BT, which postpones in winter.The visibility peak happens at about 1600 BT, which advances in winter.Results show the probability of low visibility events is 62.14% in Beijing.Dry haze happens more frequently than wet haze.In addition, as for the case studies, it should be noted that, when the wet haze event occurs, visibility in Beijing deteriorates more obviously than that in the dry haze event.And PM2.5 concentration in the wet haze events is needed to drop more for improving visibility than that in the dry haze event.
  • Fig. 1  The distribution of annual visibility in Beijing from 2007 to 2015

    Fig. 2  Visibility changes and its influencing factors from 2007 to 2015

    Fig. 3  Diurnal changes of visibility and its influencing factors from 2007 to 2015

    Fig. 4  The distribution of visibility(the shaded) versus relative humidity and PM2.5 concentration in Beijing from 2007 to 2015

    Fig. 5  A typical haze event from 0700 BT 9 Jan to 1000 BT 17 Jan in 2013

    Fig. 6  Visibility changes of a typical haze event from 0700 BT 9 Jan to 1000 BT 17 Jan in 2013(unit:m)

    Fig. 7  A typical haze event from 1500 BT 25 Dec to 1000 BT 30 Dec in 2014

    Fig. 8  Visibility changes of a typical haze event from 1500 BT 25 Dec to 1000 BT 30 Dec in 2014(unit:m)

    Table  1  Visibility and its influencing factors under different relative humidity conditions

    相对湿度/% 频率/% PM2.5浓度/(μg·m-3) 风速/(m·s-1) 能见度/m 能见度与PM2.5相关系数
    [0, 10) 0.36 28.59 2.06 18158.26 -0.02
    [10, 20) 7.00 29.09 1.73 17020.12 -0.39*
    [20, 30) 12.73 39.30 1.38 14685.35 -0.53*
    [30, 40) 12.77 55.12 1.11 12066.52 -0.54*
    [40, 50) 11.89 70.05 0.94 10047.71 -0.55*
    [50, 60) 11.99 82.74 0.84 8352.04 -0.62*
    [60, 70) 12.42 88.10 0.69 7103.22 -0.61*
    [70, 80) 11.49 91.87 0.60 5796.74 -0.59*
    [80, 90) 9.96 90.07 0.56 4592.97 -0.56*
    [90, 100) 9.38 81.57 0.43 3232.45 -0.47*
    注:*表示相关系数通过0.01的显著性水平。
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    Table  2  Influencing factors of visibility under different visibility grades

    能见度/m 频率/% PM2.5浓度/(μg·m-3) 风速/(m·s-1) 相对湿度/%
    [0, 500) 0.30 176.41 0.23 97.18
    [500, 1000) 1.94 174.64 0.41 91.39
    [1000, 2000) 8.96 144.73 0.60 81.39
    [2000, 3000) 9.47 112.26 0.65 72.76
    [3000, 4000) 8.08 95.51 0.74 65.44
    [4000, 5000) 7.69 83.63 0.77 61.61
    [5000, 6000) 6.85 74.81 0.86 57.00
    [6000, 7000) 5.91 67.68 0.91 54.80
    [7000, 8000) 5.09 61.23 0.93 52.65
    [8000, 9000) 4.32 55.81 0.99 50.65
    [9000, 10000) 3.53 52.16 0.99 47.95
    [10000, 20000) 37.86 32.72 1.13 37.96
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    Table  3  Visibility and its influencing factors under dry haze grades

    干霾 频率/% PM2.5浓度/(μg·m-3) 相对湿度/% 能见度/m 风速/(m·s-1)
    轻微 51.14 67.20 48.71 7209 0.98
    轻度 27.48 98.05 56.22 4003 0.81
    中度 13.01 133.08 62.16 2495 0.71
    重度 8.37 190.61 67.50 1559 0.78
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    Table  4  Visibility and its influencing factors under wet haze grades

    湿霾 频率/% PM2.5浓度/(μg·m-3) 相对湿度/% 能见度/m 风速/(m·s-1)
    轻微 3.51 94.38 83.17 6330 0.51
    轻度 14.45 106.07 85.05 3767 0.59
    中度 23.84 112.09 86.24 2406 0.62
    重度 58.20 158.44 87.62 1334 0.48
    DownLoad: Download CSV
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    • Received : 2017-08-28
    • Accepted : 2018-01-18
    • Published : 2018-03-31

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