Study on meteorological conditions for heavy air pollution and its climatic characteristics in “2+26” cities around Beijing-Tianjin-Hebei region in autumn and winter

doi:10.12006/j.issn.1673-1719.2018.130

Abstract

Abstract:

Based on surface observation meteorological data during 1961-2017 and ERA-interim reanalysis data, an evaluation method of different meteorological conditions for heavy air pollution (MCHAP) was set up by using atmospheric self-cleaning ability index (ASI). Through analyzing the historical variation characteristics of MCHAP of Beijing-Tianjin-Hebei region in autumn and winter, the results were as follows. During 1961-2017, the frequency and extremity of MCHAP in Jincheng of Shanxi province ranked the first. MCHAP occurred more frequently in Beijing, Langfang of Hebei province and Zhengzhou of Henan province and more extremely in Baoding, Shijiazhuang and Hengshui of Hebei province. MCHAP had occurred in “2+26” cities around Beijing-Tianjin -Hebei region in history since 1961, but which were more common in recent years and caused much more sever air pollution events. During the period of 2013-2017, MCHAP occurred the least frequently in 2017 in “2+26” cities around Beijing-Tianjin-Hebei region except Beijing. However the extremity of MCHAP in 2017 receded a lot in Beijing. Both in the 1980s and the period of 2010-2017, MCHAP in the Beijing-Tianjin-Hebei and its surrounding areas took place the most frequently, which was affected by both the cold air intensity and the change of large-scale air stagnation condition. To some extent, the development of urbanization also plays a role in the decadal change of MCHAP.

Key words: Meteorological condition for heavy air pollution (MCHAP), Atmospheric self-cleaning ability index (ASI), Atmospheric stagnation, Beijing-Tianjin-Hebei region

Mei MEI,Rong ZHU,Chao-Yang SUN. Study on meteorological conditions for heavy air pollution and its climatic characteristics in “2+26” cities around Beijing-Tianjin-Hebei region in autumn and winter[J]. Climate Change Research, 2019, 15(3): 270-281.

Figures/Tables 9

Fig. 1 Classification of meteorological conditions for heavy atmospheric pollution

Table 1 Occurrence times ratio of meteorological conditions for heavy atmospheric pollution for each section from A to C in all during 1961-2017 in Beijing-Tianjin-Hebei region %

Fig. 2 Distribution of decadal mean ASI in Beijing-Tianjin-Hebei region (contour) and decadal mean occurrence times of meteorological conditions for heavy air pollution in “2+26” cities around Beijing-Tianjin-Hebei region (dots) in autumns and winters over 1961-2017

Table 2 Annual mean occurrence times and variations of meteorological conditions for heavy air pollution in autumns and winters during 1961-2017 in “2+26” cities around Beijing-Tianjin-Hebei region

Fig. 3 Inter-annual variation of the occurrence times of meteorological conditions for heavy air pollution in autumns and winters during 1961-2017 in Beijing/Langfang, Shijiazhuang, and Baoding

Fig. 4 Anomaly percentages of mean cold air intensity index over China in autumns and winters during 1961-2017

Fig. 5 The comparison of daily sea-level geostrophic wind speed from December 14th 2016 to January 9th 2017 (116.25°E , 39.75°N ) and the anomaly percentage of corresponding ASI in Beijing

Fig. 6 Distribution of decadal mean occurrence times of atmospheric stagnation condition in autumns and winters during 1980-2017 in Beijing-Tianjin-Hebei and its surrounding region

Fig. 7 Remote sensing maps of difference in urban area between 2015 and 1990 (a) and distribution of wind speed change(2013-2017 relative to 1988-1992) (b) in Beijing-Tianjin-Hebei region

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