ORIGINAL RESEARCH
COVID-19 and Air Pollution: Air Quality Impact in 13 Cities of the Jiangsu Province of China
 
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1
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 211189, China
 
2
School of Information and Communication Engineering, Hainan University, Haikou 570228, China
 
3
College of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
 
4
School of Geography, Nanjing Normal University, Nanjing, 210023, China
 
5
Department of Agronomy Faculty of Crop Protection, Sindh Agriculture University Tandojam
 
 
Submission date: 2021-07-26
 
 
Final revision date: 2022-04-28
 
 
Acceptance date: 2022-05-03
 
 
Online publication date: 2022-08-02
 
 
Publication date: 2022-09-28
 
 
Corresponding author
Uzair Aslam Bhatti   

Nanjing Normal University, China
 
 
Pol. J. Environ. Stud. 2022;31(5):4907-4916
 
KEYWORDS
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ABSTRACT
Jiangsu province is one of the economically strong provinces in east China. With the advance of the modernization process, the problem of air pollution in this area is facing a severe challenge under the common role of human activities and regional climate change. While the rest of the world struggles to control COVID-19, China has managed to control the pandemic rapidly and effectively with strong lockdown policies. This study investigates the change in air pollution (focusing on the air quality index (AQI), six ambient air pollutants nitrogen dioxide (NO2), ozone (O3), sulphur dioxide (SO2), carbon monoxide (CO), particulate matter with aerodynamic diameters ≤10 μm (PM10) and ≤2.5 μm (PM2.5)) patterns for different periods in last 5 years. Different pollutants have different behavior identified in this studied which is helping for understanding the pattern of air quality. Short-term health advantages from the COVID-19 pandemic can be attributed to the reduction in air pollution and significant improvement in ambient air quality, which need the government to enact post-COVID environmental regulations.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (9):
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Air Quality Index Predictions with a Hybrid Forecasting Model: Combining Series Decomposition and Deep Learning Techniques
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2.
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7.
The effects of socioeconomic factors on particulate matter concentration in China's: New evidence from spatial econometric model
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8.
The relationship between PM10 and SO2 exposure and Covid-19 infection rates in Turkey using nomenclature of territorial units for statistics level 1 regions
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9.
Assessing the ambient air quality patterns associated to the COVID-19 outbreak in the Yangtze River Delta: A random forest approach
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eISSN:2083-5906
ISSN:1230-1485
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