Gong Yishu, Xu Xiaobin, Xu Wanyun, et al. Characteristics of atmospheric hydrogen peroxide at an urban site in Beijing during winter and spring. J Appl Meteor Sci, 2018, 29(4): 474-486. DOI:  10.11898/1001-7313.20180408.
Citation: Gong Yishu, Xu Xiaobin, Xu Wanyun, et al. Characteristics of atmospheric hydrogen peroxide at an urban site in Beijing during winter and spring. J Appl Meteor Sci, 2018, 29(4): 474-486. DOI:  10.11898/1001-7313.20180408.

Characteristics of Atmospheric Hydrogen Peroxide at an Urban Site in Beijing During Winter and Spring

DOI: 10.11898/1001-7313.20180408
  • Received Date: 2018-03-17
  • Rev Recd Date: 2018-05-25
  • Publish Date: 2018-07-31
  • As a photochemical produced oxidant, gaseous hydrogen peroxide (H2O2) plays an important role in aerosols and acid rain production. However, not many measurements of gaseous H2O2 have been made in China in the past few years and further studies especially the level and trend of H2O2 in smog are needed. To make up for the lack of H2O2 data and provide support for air quality improvement in China, an observation experiment on gaseous H2O2 is carried out from 27 Dec 2016 to 28 Apr 2017 at an urban site in the northwest of mega-city Beijing, using a two-channel H2O2 monitor AL2021. The concentration level, variation and influence factors under different conditions are analyzed with several simultaneously observed pollutants (O3, PAN, NOX, PM2.5, etc.) and meteorological parameters. The mean mixing ratio of H2O2 for the entire period is (0.65±0.59)×10-9, with a higher mean of (0.83±0.67)×10-9 in spring and a lower mean of (0.51±0.47)×10-9 in winter. Day peaks with the value higher than 2×10-9 is also detected in winter indicating that high concentration of H2O2 can also happen under certain conditions. The concentration of H2O2 shows pronounced diurnal cycles with peaks in the period of 1800-2100 BT, occurring later than those reported for other sites in China or foreign countries and shows a delay of about 4 to 7 hours compared with the peaking time of O3. H2O2 level is found to be negatively correlated with relative humidity (RH), especially when only considering the maximum H2O2 level under RH over 55%. This is consistent with the uptake of gaseous H2O2 by water-containing aerosol particles under higher RH conditions. The H2O2 peaking time and peak level are closely related with RH as well as other factors, such as NOX. Under conditions of daily RH lower than 55%, H2O2 level can reach a mean peak value of 1.52×10-9 with peaking times during 1800-2400 BT, while it peaks lower (1×10-9) and earlier (before 1700 BT) with the daily mean RH higher than 65%. H2O2, O3 and PAN show different diurnal patterns and levels under different pollution conditions. H2O2 shows smaller average level differences for clean and hazy days, with a higher peak but a lower level during 1100-1500 BT under the clean condition. O3 shows a higher mixing ratio under clean condition than under hazy condition, while PAN reveals an opposite trend. Results also indicate that dynamical transport could be an important influencing factor of variations and levels of H2O2 and O3. The impact of photochemistry on haze formation in colder months in the urban environment of Beijing and its feedback warrant further studies, particularly the role of H2O2 in the formation of sulfate aerosol.
  • Fig. 1  Hourly averaged H2O2, O3, NO, NO2, PM2.5, PAN, SO2 and CO concentrations from Dec 2016 to Apr 2017

    (with PM2.5 observed at Haidian Park and the other pollutants at CMA, Beijing)

    Fig. 2  Hourly averaged air temperature, relative humidity, global radiation, wind velocity and direction from Dec 2016 to Apr 2017 at CMA, Beijing

    Fig. 3  Diurnal variations of H2O2, O3, PAN, PM2.5, NO and NO2 at CMA, Beijing from Jan 2017 to Apr 2017

    Fig. 4  Relationships between H2O2 and relative humidity for peak period(1100-2400 BT) and non-peak period (0100-1000 BT) under hazy and clean conditions including overall correlations between H2O2 and relative humidity for different conditions and correlations between the maximum H2O2 and relative humidity within 55%-100%

    (the shaded denotes the corresponding PM2.5 concentration)

    Fig. 5  Daily H2O2 peaking times under different relative humidity at CMA, Beijing from Jan 2017 to Apr 2017

    (the shaded represents the peak level of H2O2, circled points are data from rainy days)

    Fig. 6  Diurnal variations of different elements for H2O2 earlier peak(1100-1500 BT) and later peak(1900-2400 BT) at CMA, Beijing from Jan 2017 to Apr 2017

    Fig. 7  Averaged diurnal variations of pollutants for clean and hazy conditions from Jan 2017 to Apr 2017

    Fig. 8  Averaged diurnal variations of wind velocity and direction for clean and hazy conditions from Jan 2017 to Apr 2017

    Table  1  Statistics of H2O2 concentrations for different observation periods at CMA, Beijing

    时段 H2O2浓度/10-9 样本量
    平均值 最大值 中值 标准偏差
    全时间序列 0.65 3.56 0.52 0.59 1489
    高浓度时段(13:00—24:00) 0.89 3.56 0.77 0.67 715
    低浓度时段(01:00—12:00) 0.44 1.92 0.33 0.39 774
    冬季(2016年12月27日—2017年2月28日) 0.51 2.78 0.40 0.47 831
    春季(2017年3月1日—4月28日) 0.83 3.56 0.70 0.67 658
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    • Received : 2018-03-17
    • Accepted : 2018-05-25
    • Published : 2018-07-31

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