The spatio-temporal variation of heavy air pollution in typical regions of China from 2017 to 2020

CHU Yang-xi; YIN Li-na; SHAO Pan-yang; HU Jing-nan

doi:10.16462/j.cnki.zhjbkz.2021.10.004

Volume 25 Issue 10

Nov. 2021

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2021 > 25(10): 1133-1138

CHU Yang-xi, YIN Li-na, SHAO Pan-yang, HU Jing-nan. The spatio-temporal variation of heavy air pollution in typical regions of China from 2017 to 2020[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1133-1138. doi: 10.16462/j.cnki.zhjbkz.2021.10.004

Citation:

CHU Yang-xi, YIN Li-na, SHAO Pan-yang, HU Jing-nan. The spatio-temporal variation of heavy air pollution in typical regions of China from 2017 to 2020[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1133-1138. doi: 10.16462/j.cnki.zhjbkz.2021.10.004

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The spatio-temporal variation of heavy air pollution in typical regions of China from 2017 to 2020

doi: 10.16462/j.cnki.zhjbkz.2021.10.004

Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

Funds:

National Science Foundation of China 41905122

National Research Program for Key Issues in Air Pollution Control DQGG202001

More Information

Corresponding author: HU Jing-nan, E-mail: hujn@craes.org.cn
Received Date: 2021-05-31
Rev Recd Date: 2021-08-31

Available Online: 2021-11-17

Publish Date: 2021-10-10

Abstract

Abstract

Objective Heavy air pollution (HAP) is harmful to human health. Based on the characteristics of HAP from 2017 to 2020, we aimed to summarize the cause of HAP and provide a scientific basis for the formulation of air pollution prevention and control policies in "the Fourteenth Five-Year Plan" period. Methods The national air quality monitoring data during 2017-2020 were collected to analyze the spatio-temporal HAP distribution patterns. Results Spatially, 54.7% of HAP days in China occurred in key regions, including Beijing-Tianjin-Hebei (BTH) and surrounding region, Fen-Wei River Plain and Yangtze River Delta, which accounted for 36.3%, 11.1% and 7.3%, respectively. Among non-key regions, the Urumqi-Changji-Shihezi City cluster (UCS) accounted for 8.7% of nationwide HAP days. Temporally, HAP days in key regions decreased by 49.4%-61.5% from 2017 to 2020, while those in UCS only decreased by 4.6%, much smaller than in key regions. Fine particulate matter (PM_2.5) HAP days normally occur from November to February, those due to inhalable particles (PM₁₀) frequently happen from April to May and from October to November, and those due to ozone (O₃) mostly take place from May to July. PM_2.5 accounted for 87.0%-96.0% of HAP days in the studied regions, followed by PM₁₀ and O₃, waking up 3.0%-12.0% and < 3.0%, respectively. Conclusions The number of HAP days from 2017 to 2020 generally decreased. Still, the HAP situation in some regions and cities remains challenging. Continuous reduction of PM_2.5 HAP days in autumn and winter should be the focus of air pollution prevention and control, with enhanced measures in BTH and surrounding region, Fen-Wei River Plain and UCS to effectively reduce air pollutant emissions and improve the public health benefits.
- Heavy air pollution,
- Fine particulate matter,
- Inhalable particles,
- Ozone,
- Temporal variation,
- Spatial distribution

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References(11)

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