Analysis of Spatio-Temporal Variation Characteristics of Main Air Pollutants in Shijiazhuang City

Air pollution has become one of the important concerns of environmental pollution in the Beijing–Tianjin–Hebei region. As an important city in Beijing–Tianjin–Hebei, Shijiazhuang has long been ranked in the bottom ten in terms of air quality in the country. In order to effectively grasp the influencing factors and current distribution of air pollution in Shijiazhuang City, this paper collects data on the top air pollutants in Shijiazhuang from 2017 to 2019, analyzes the characteristics of time changes in the region, and uses the Kriging interpolation method to affect the air pollutants in this area. The spatial distribution characteristics are studied. The results show (1) From 2017 to 2019, the environmental quality of Shijiazhuang City showed a decreasing trend except for O3. (2) Seasonal changes show that NO2, PM2.5, and CO show as winter > autumn > spring > summer, PM10, SO2 show as winter > spring > autumn > summer, and O3 concentration changes as summer > spring > autumn > winter. (3) The daily change trends of NO2, SO2, PM10 and PM2.5 are similar, while the change trends of O3 and NO2 are opposite. (4) The correlations between air quality index (AQI) and concentrations suggest that PM10, PM2.5, and CO contribute the most to undesirable pollution levels in this area, while NO2, SO2, and O3 contribute less to undesirable pollution. We have concluded that the particulate pollution in Shijiazhuang City has been effectively controlled, thanks to the relevant measures introduced by the government, but the O3-based compound pollution is gradually increasing, so particulate pollution and O3 pollution need to be treated together. The research results of this article have important practical significance for urban or regional air environment monitoring and prevention.

[1]  Kamal Jyoti Maji,et al.  Spatio-temporal variations and trends of major air pollutants in China during 2015–2018 , 2020, Environmental Science and Pollution Research.

[2]  Yongli Zhang,et al.  Dynamic effect analysis of meteorological conditions on air pollution: A case study from Beijing. , 2019, The Science of the total environment.

[3]  R. Song,et al.  Spatiotemporal Distribution of Air Pollution Characteristics in Jiangsu Province, China , 2019, Advances in Meteorology.

[4]  R. Weiss,et al.  Rapid increase in ozone-depleting chloroform emissions from China , 2018, Nature Geoscience.

[5]  Qiang Zhang,et al.  Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China , 2018, Proceedings of the National Academy of Sciences.

[6]  Dominick V. Spracklen,et al.  Substantial changes in air pollution across China during 2015–2017 , 2018, Environmental Research Letters.

[7]  Meng Li,et al.  Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions , 2018, Atmospheric Chemistry and Physics.

[8]  G. de Leeuw,et al.  Variations and photochemical transformations of atmospheric constituents in North China , 2018, Atmospheric Environment.

[9]  Hua Zhang,et al.  The effects of El Niño–Southern Oscillation on the winter haze pollution of China , 2018 .

[10]  Lu Shen,et al.  Synoptic meteorological modes of variability for fine particulate matter (PM 2.5 ) air quality in major metropolitan regions of China , 2017 .

[11]  M. Greenstone,et al.  New evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River Policy , 2017, Proceedings of the National Academy of Sciences.

[12]  Hongliang Zhang,et al.  Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions. , 2017, Environmental science & technology.

[13]  Hong Liao,et al.  Weather conditions conducive to Beijing severe haze more frequent under climate change , 2017 .

[14]  Tao Song,et al.  Mixing layer height and its implications for air pollution over Beijing, China , 2016 .

[15]  J. Frostad,et al.  Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013. , 2016, Environmental science & technology.

[16]  Yan-lin Zhang,et al.  Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry , 2015 .

[17]  Zirui Liu,et al.  [Characteristics of Winter Atmospheric Mixing Layer Height in Beijing-Tianjin-Hebei Region and Their Relationship with the Atmospheric Pollution]. , 2015, Huan jing ke xue= Huanjing kexue.

[18]  Zirui Liu,et al.  [Observation of atmospheric pollutants in the urban area of Beibei District, Chongqing]. , 2014, Huan jing ke xue= Huanjing kexue.

[19]  G. Peters,et al.  The socioeconomic drivers of China’s primary PM2.5 emissions , 2014 .

[20]  Ki-Hyun Kim,et al.  A review on human health perspective of air pollution with respect to allergies and asthma. , 2013, Environment international.

[21]  Shilu Tong,et al.  Ambient air pollution, climate change, and population health in China. , 2012, Environment international.

[22]  Tao Song,et al.  Analysis of heavy pollution episodes in selected cities of northern China , 2012 .

[23]  J. Richmond-Bryant,et al.  Associations of PM2.5 and black carbon concentrations with traffic, idling, background pollution, and meteorology during school dismissals. , 2009, The Science of the total environment.

[24]  Michelle L. Osborn,et al.  ANNALS OF THE NEW YORK ACADEMY OF SCIENCES MARROW , 2019 .

[25]  Zhanshan Wang,et al.  Spatial-temporal characteristics of PM_(2.5) in Beijing in 2013 , 2015 .

[26]  Jiangu Liu Recent Progress of Atmospheric Haze Monitoring Technology , 2015 .

[27]  Shulan Wang,et al.  Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China. , 2014, Journal of environmental sciences.

[28]  Bhanu Pandey,et al.  Assessment of air pollution around coal mining area: Emphasizing on spatial distributions, seasonal variations and heavy metals, using cluster and principal component analysis , 2014 .