Assessment of Air Pollution Changes during COVID-19 Pandemic in Jiangsu Province of China from 2018 to 2021 DOI Creative Commons

Anbu Clemensis Johnson

Iranica Journal of Energy and Environment, Journal Year: 2024, Volume and Issue: 15(4), P. 444 - 451

Published: Jan. 1, 2024

The COVID-19 pandemic, which began during early 2020, had been a worldwide problem, resulting in significant fatalities. In China, the pandemic resulted strict lockdowns, restricted movement, and reduced transportation. This improvement of air quality many cities China. objective study is to compare nature pre-COVID period (2018-2019) COVID (2020-2201). following parameters were investigated, index (AQI), particulate matter (PM2.5 PM10), sulphur dioxide (SO2), nitrogen (NO2), ozone (O3), carbon monoxide (CO). present investigation results will augment current understanding on pollution situation Jiangsu Province revealed that improved months when positive cases increased. reduction pollutants concentrations started 2020 reached maximum 2021. Overall (AQI) by 8.2 % pollutant reductions achieved were, PMs (≈ 21%), SO2 (26.2 %), NO2 (13.6 O3 (2.4 %) CO (10.4 %). Cities with high moderate reduction. correlation between AQI was except for O3. implications are, fossil fuel powered vehicles industrial activity can make notable impact region.

Language: Английский

Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data DOI Creative Commons
Daniel Omeodisemi Omokpariola, John Kanayochukwu Nduka,

Martin Osita Anagboso

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)

Published: May 2, 2025

Language: Английский

Citations

0
Meteorologically Normalized Air Quality Trends During COVID in India: Contrast Between Metro vs Non-metro Cities DOI

Krishnakant Suryawanshi,

Abhishek Chakraborty

Aerosol Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Language: Английский

Citations

0
Evaluating urban ozone dynamics in two Indian megacities using ground data and predictive ozone modelling: role of AVOC – NOx regime and influence on secondary PM levels DOI

Yuva Kiran Kadali,

Abhishek Chakraborty

Journal of Atmospheric Chemistry, Journal Year: 2025, Volume and Issue: 82(1)

Published: March 25, 2025

Language: Английский

Citations

0
An attention-based CNN model integrating observational and simulation data for high-resolution spatial estimation of urban air quality DOI
Shibao Wang, Yanxu Zhang

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 340, P. 120921 - 120921

Published: Nov. 5, 2024

Language: Английский

Citations

2
Impact of COVID-19 pandemic lockdown on atmospheric concentrations of particulate matter, trace gases and volatile organic compounds at a suburban site of Agra DOI

Neelam Baghel,

Sonal Kumari, Anita Lakhani

et al.

Journal of Earth System Science, Journal Year: 2023, Volume and Issue: 132(4)

Published: Oct. 16, 2023

Language: Английский

Citations

2
Assessment of Air Pollution Changes during COVID-19 Pandemic in Jiangsu Province of China from 2018 to 2021 DOI Creative Commons

Anbu Clemensis Johnson

Iranica Journal of Energy and Environment, Journal Year: 2024, Volume and Issue: 15(4), P. 444 - 451

Published: Jan. 1, 2024

The COVID-19 pandemic, which began during early 2020, had been a worldwide problem, resulting in significant fatalities. In China, the pandemic resulted strict lockdowns, restricted movement, and reduced transportation. This improvement of air quality many cities China. objective study is to compare nature pre-COVID period (2018-2019) COVID (2020-2201). following parameters were investigated, index (AQI), particulate matter (PM2.5 PM10), sulphur dioxide (SO2), nitrogen (NO2), ozone (O3), carbon monoxide (CO). present investigation results will augment current understanding on pollution situation Jiangsu Province revealed that improved months when positive cases increased. reduction pollutants concentrations started 2020 reached maximum 2021. Overall (AQI) by 8.2 % pollutant reductions achieved were, PMs (≈ 21%), SO2 (26.2 %), NO2 (13.6 O3 (2.4 %) CO (10.4 %). Cities with high moderate reduction. correlation between AQI was except for O3. implications are, fossil fuel powered vehicles industrial activity can make notable impact region.

Language: Английский

Citations

0