Possible influence of atmospheric circulations on winter haze pollution in the Beijing-Tianjin-Hebei region, northern China
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- Possible influence of atmospheric circulations on winter haze pollution in the Beijing-Tianjin-Hebei region, northern China
- Other Titles
- 북중국지역의 대기 오염과 겨울철 대기 순환의 영향 연구
- Ziyin Zhang
- Siberian High; air pollution; atmosphere circulation
- Issue Date
- Ziyin Zhang, et al. 2016. "Possible influence of atmospheric circulations on winter haze pollution in the Beijing-Tianjin-Hebei region, northern China". ATMOSPHERIC CHEMISTRY AND PHYSICS, 16(1): 561-571.
- Using the daily records derived from the synoptic weather stations and the NCEP/NCAR and ERA-Interim reanalysis data, the variability of the winter haze pollution (indicated by the mean visibility and number of hazy days) in the Beijing？Tianjin？Hebei (BTH) region during the period 1981 to 2015 and its relationship with the atmospheric circulations at middle？high latitude were analyzed in this study. The winter haze pollution in BTH had distinct inter-annual and inter-decadal variabilities without a significant long-term trend. According to the spatial distribution of correlation coefficients, six atmospheric circulation indices (I1 to I6/ were defined from the key areas in sea level pressure (SLP), zonal and meridional winds at 850 hPa (U850, V850), geopotential height field at 500 hPa (H500), zonal wind at 200 hPa (U200), and air temperature at 200 hPa (T200), respectively. All of the six indices have significant and stable correlations with the winter visibility and number of hazy days in BTH. In the raw (unfiltered) correlations, the correlation coefficients between the six indices and the winter visibility (number of hazy days) varied from 0.57 (0.47) to 0.76 (0.6) with an average of 0.65 (0.54);in the high-frequency (< 10 years) correlations, the coefficients varied from 0.62 (0.58) to 0.8 (0.69) with an average of 0.69 (0.64). The six circulation indices together can explain 77.7% (78.7 %) and 61.7% (69.1 %) variances of the winter visibility and the number of hazy days in the year-to-year (inter-annual) variability, respectively.
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