Yan Hao, Liu Guiqing, Cao Yun, et al. Remote sensing study on blue-sky days in Beijing, Tianjin, and Hebei during the period of 2000-2023. J Appl Meteor Sci, 2024, 35(5): 606-618. DOI:  10.11898/1001-7313.20240508.
Citation: Yan Hao, Liu Guiqing, Cao Yun, et al. Remote sensing study on blue-sky days in Beijing, Tianjin, and Hebei during the period of 2000-2023. J Appl Meteor Sci, 2024, 35(5): 606-618. DOI:  10.11898/1001-7313.20240508.

Remote Sensing Study on Blue-sky Days in Beijing, Tianjin, and Hebei During the Period of 2000-2023

DOI: 10.11898/1001-7313.20240508
  • Received Date: 2024-04-25
  • Rev Recd Date: 2024-07-09
  • Publish Date: 2024-09-30
  • Blue sky often represents better air quality and lower air pollution. Using satellite aerosol optical depth (AOD) data of Beijing, Tianjin and Hebei Province from 2000 to 2023, combined with the blue-sky data observed at noon time in 2023, a blue-sky grade index is established based on satellite AOD, in which the monitoring index of blue-sky grade is the AOD at 550 nm less than 0.36, and that of deep blue-sky grade is the AOD at 550 nm less than 0.2.Spatial and temporal characteristics of blue-sky grade days in Beijing-Tianjin-Hebei Region from 2000 to 2023 are investigated. Results show that the multi-year average blue-sky days in Beijing, Tianjin, and Hebei are 144.2 d·a-1, 96.3 d·a-1, and 119.6 d·a-1, respectively, with the highest number of blue-sky days for Beijing, followed by Hebei and the lowest number is recorded in Tianjin. In terms of spatial distribution, the northern part of Hebei has the highest annual average of blue-sky days, while the southern part of Hebei has the lowest number of blue-sky days. The number of blue-sky days in Beijing-Tianjin-Hebei exhibits noticeable seasonal changes, with the highest number of blue-sky days in winter and autumn, followed by spring, and the lowest in summer.From 2001 to 2023, the average annual number of clear-sky days in Beijing, Tianjin, and Hebei takes on an increasing trend, with an increase of 18.1 d, 22.3 d and 16.3 d per decade, respectively. There is no significant trend change from 2001 to 2013. However, the annual average blue-sky days in Beijing-Tianjin-Hebei from 2013 to 2023 all show increasing trends, with increments of 26.9 d, 46.5 d, and 36.4 d per decade, respectively. The annual average blue-sky days and deep blue-sky days in Beijing-Tianjin-Hebei from 2013 to 2023 are higher than those in 2001-2013, with the annual average blue-sky days in Beijing, Tianjin, and Hebei of 153.5 d, 107.5 d, and 128.5 d, respectively, which are 17.5 d, 21.8 d, and 16.9 d higher than those in 2001-2013. It may be largely due to the implementation of regional air pollution prevention and control measures, which have led to a reduction in atmospheric particulate matter concentration since 2013.

  • Fig. 1  Histogram of AOD at 550 nm and number of blue-sky days in 2023

    Fig. 1  Histogram of AOD at 550 nm and number of blue-sky days in 2023

    Fig. 2  Numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei during 2001-2023

    Fig. 2  Numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei during 2001-2023

    Fig. 3  Numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei averaged in 2001-2023, 2001-2013 and 2013-2023

    Fig. 3  Numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei averaged in 2001-2023, 2001-2013 and 2013-2023

    Fig. 4  Climatic spatial distributions and corresponding Sen slopes of numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei during 2001-2023 (the grey color denotes PMK<0.05 in the small hatch)

    Fig. 4  Climatic spatial distributions and corresponding Sen slopes of numbers of blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei during 2001-2023 (the grey color denotes PMK<0.05 in the small hatch)

    Fig. 5  Numbers of seasonal blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei

    Fig. 5  Numbers of seasonal blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei

    Fig. 6  Interannual variations of numbers of seasonal blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei

    Fig. 6  Interannual variations of numbers of seasonal blue-sky days and deep blue-sky days for Beijing, Tianjin and Hebei

    Fig. 7  Spatial distribution of number of seasonal blue-sky days for Beijing, Tianjin and Hebei during 2000-2023

    Fig. 7  Spatial distribution of number of seasonal blue-sky days for Beijing, Tianjin and Hebei during 2000-2023

    Fig. 8  Interannual variations of AOD for Beijing, Tianjin and Hebei during 2001-2023

    Fig. 8  Interannual variations of AOD for Beijing, Tianjin and Hebei during 2001-2023

    Table  1  Sen slope (unit:d·a-1) of numbers of annual and seasonal blue-sky days for Beijing, Tianjin and Hebei during 2001-2023, 2001-2013 and 2013-2023

    时段 2001—2023年 2001—2013年 2013—2023年
    北京 天津 河北 北京 天津 河北 北京 天津 河北
    全年 1.81** 2.23** 1.63** 1.67 0.189 0.62 2.69* 4.65** 3.64*
    冬季 0.71 0.95* 0.67 0.81 0.07 0.63 1.59 2.46* 1.93
    春季 0.39 0.33 0.36 -0.06 -0.07 -0.06 0.48 0.40 0.80
    夏季 0.55** 0.49** 0.42** 0.53 0.14 0.34 0.45 1.05 0.73
    秋季 0.16 0.29 0.28 0.19 0.16 -0.07 1.29 1.49* 1.24*
    注:* *表示趋势率达到0.01水平的MK显著性检验,*表示达到0.05水平的MK显著性检验。
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    Table  1  Sen slope (unit:d·a-1) of numbers of annual and seasonal blue-sky days for Beijing, Tianjin and Hebei during 2001-2023, 2001-2013 and 2013-2023

    时段 2001—2023年 2001—2013年 2013—2023年
    北京 天津 河北 北京 天津 河北 北京 天津 河北
    全年 1.81** 2.23** 1.63** 1.67 0.189 0.62 2.69* 4.65** 3.64*
    冬季 0.71 0.95* 0.67 0.81 0.07 0.63 1.59 2.46* 1.93
    春季 0.39 0.33 0.36 -0.06 -0.07 -0.06 0.48 0.40 0.80
    夏季 0.55** 0.49** 0.42** 0.53 0.14 0.34 0.45 1.05 0.73
    秋季 0.16 0.29 0.28 0.19 0.16 -0.07 1.29 1.49* 1.24*
    注:* *表示趋势率达到0.01水平的MK显著性检验,*表示达到0.05水平的MK显著性检验。
    DownLoad: Download CSV
  • [1]
    Yan P, Liu G Q, Zhou X J, et al. Characteristics of aerosol optical properties during haze and fog episodes at Shangdianzi in northern China. J Appl Meteor Sci, 2010, 21(3): 257-265. doi:  10.3969/j.issn.1001-7313.2010.03.001
    [2]
    Liang Y X, Che H Z, Wang H, et al. Aerosol optical properties and radiative effects during a pollution epitode in Beijing. J Appl Meteor Sci, 2020, 31(5): 583-594.
    [3]
    Bai C L. Research progress on formation mechanism and control strategies of haze in Chinese academy of sciences. Bull Chinese Acad Sci, 2017, 32(3): 215-218.
    [4]
    Yan L, Lei Y, Zhang W. Progress and prospect of regional air pollution prevention and control cooperation in China. Chinese J Environ Manag, 2021, 13(5): 61-68.
    [5]
    Wang L Y, Wang L, Zhang W. Science and technology progress on air pollution prevention and control in recent ten years and future prospect in China. Clim Environ Res, 2022, 27(6): 787-794.
    [6]
    Wang W X, Chai F H, Ren Z H, et al. Process, achievements and experience of air pollution control in China since the founding of the People's Republic of China 70 years ago. Res Environ Sci, 2019, 32(10): 1621-1635.
    [7]
    Mao J T, Wang Q, Zhao B L. The observation of the atmospheric transparency spectrum and the turbidity. Acta Meteor Sinica, 1983, 41(3): 322-332.
    [8]
    Sheng P X. Atmospheric Physics(the 2nd Ed). Beijing: Peking University Press, 2013.
    [9]
    Zhang X C, Yan P, Gao L N, et al. Haze Identification for Meteorological Observation. National Standard GB/T 36542-2018. Beijing: China Standard Publishing House, 2022.
    [10]
    Niu R Y, Tian C Y, Zhang H D, et al. Classification of Sand and Dust Weather. National Standard GB/T 20480-2017. Beijing: China Standard Publishing House, 2017.
    [11]
    Mao J T, Li C C. Observation study of aerosol radiative properties over China. Acta Meteor Sinica, 2005, 63(5): 622-635. doi:  10.3321/j.issn:0577-6619.2005.05.008
    [12]
    Fan X H, Chen H B, Xia X A. Progress in observation studies of atmospheric aerosol radiative properties in China. Chinese J Atmos Sci, 2013, 37(2): 477-498.
    [13]
    Li W, Zhao H J, Wang C S, et al. Variation characteristics of aerosol optical depth in Northeast China from 2003 to 2022. J Appl Meteor Sci, 2024, 35(2): 211-224.
    [14]
    Gao L, Zhang X Y, Wu R H, et al. Technical Guidelines for Satellite Monitoring-Haze. National Standard GB/T 42190-2022. Beijing: China Standard Publishing House, 2022.
    [15]
    Guo Y T, Xia N, Zhou Z Y, et al. Inversion of atmospheric PM2.5 mass concentration in China from 2011 to 2020 using MCD19-A2 data and GWR model. Transactions of the CSAE, 2023, 39(5): 184-191.
    [16]
    Li C C, Mao J T, Liu Q H, et al. Research on the air pollution in Beijing and its surroundings with MODIS AOD products. Chinese J Atmos Sci, 2003, 27(5): 869-880. doi:  10.3878/j.issn.1006-9895.2003.05.08
    [17]
    Tang W Y, Bao Y S, Zhang X Y, et al. Comparison of FY-3A/MERSI, MODIS C5.1, C6 and AERONET aerosol optical depth in China. Acta Meteor Sinica, 2018, 76(3): 449-460.
    [18]
    Ye H T, Zou C H, Tian H W. A method for PM2.5 concentration monitoring based on machine learning and Himawari-8 satellite data. Meteor Environ Sci, 2023, 46(3): 89-97.
    [19]
    Miao L, Liao X N, Wang Y C. Diurnal variation of PM2.5 mass concentration in Beijing and influence of meteorological factors based on long term date. Environ Sci, 2016, 37(8): 2836-2846.
    [20]
    Lyapustin A, Wang Y J, Korkin S, et al. MODIS collection 6 MAIAC algorithm. Atmos Meas Technol, 2018, 11(10): 5741-5765. doi:  10.5194/amt-11-5741-2018
    [21]
    Martins V S, Lyapustin A, de Carvalho L A S, et al. Validation of high-resolution MAIAC aerosol product over South America. J Geophys Res Atmos, 2017, 122(14): 7537-7559. doi:  10.1002/2016JD026301
    [22]
    Zhang Z Y, Wu W L, Fan M, et al. Evaluation of MAIAC aerosol retrievals over China. Atmos Environ, 2019, 202: 8-16. doi:  10.1016/j.atmosenv.2019.01.013
    [23]
    Sen P K. Estimates of the regression coefficient based on Kendall's tau. J Am Stat Assoc, 1968, 63(324): 1379-1389. doi:  10.1080/01621459.1968.10480934
    [24]
    Mann H B. Nonparametric tests against trend. Econometrica, 1945, 13(3): 245-259. doi:  10.2307/1907187
    [25]
    Fu C B, Dan L, Feng J M, et al. Temporal and spatial variations of total cloud amount and their possible relationships with temperature and water vapor over China during 1960 to 2012. Chinese J Atmos Sci, 2019, 43(1): 87-98.
    [26]
    Yan L B, Liu X D. Seasonal variation of atmospheric aerosol and its relation to cloud faction over Beijing-Tianjin-Hebei Region. Res Environ Sci, 2009, 22(8): 924-931.
    [27]
    Su X T, Feng J, An H, et al. Trends analysis of fine particulate matter and ozone pollution in typical cities in the Beijing-Tianjin-Hebei Region during 2015-2021. Chinese J Atmos Sci, 2023, 47(5): 1641-1653.
    [28]
    Yan H, Jiao M Y, Zhao L N, et al. Characteristics of aerosol light-scattering and PM10 concentration in North China. Plateau Meteor, 2008, 27(4): 852-858.
    [29]
    Liu F F, Zheng Y G, Luo Q, et al. Comparison of characteristics of light precipitation and short-time heavy precipitation over Beijing, Tianjin, Hebei and neighbouring areas. J Appl Meteor Sci, 2023, 34(5): 619-629.
    [30]
    Wu X T, Wang X Y, Zheng D, et al. Effects of different aerosols on cloud-to-ground lightning activity in the Yangtze River Delta. J Appl Meteor Sci, 2023, 34(5): 608-618.
    [31]
    Zhou Q, Li B, Zhang Y, et al. Identification on cloud macroscopic physical characteristics based upon multi-source observations in Beijing. J Appl Meteor Sci, 2023, 34(2): 206-219.
    [32]
    Liu D W, Mu H Z, He Q S, et al. A low visibility recognition algorithm based on surveillance video. J Appl Meteor Sci, 2022, 33(4): 501-512.
    [33]
    Chyi D, He L F. Stage characteristics and mechanisms of extreme high temperature in China in summer of 2022. J Appl Meteor Sci, 2023, 34(4): 385-399.
    [34]
    Yang X Y, Che H Z, Chen Q L, et al. Retrieval of aerosol optical properties by skyradiometer over urban Beijing. J Appl Meteor Sci, 2020, 31(3): 373-384.
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    • Received : 2024-04-25
    • Accepted : 2024-07-09
    • Published : 2024-09-30

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