Association of air pollution and meteorological variables with the two waves of COVID-19 pandemic in Delhi: A critical analysis

Dutta, Abhishek; Dutta, Gautam

doi:10.1016/j.heliyon.2021.e08468

Cited by 6 publications

(2 citation statements)

References 67 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…). The NO 2 is higher in the second wave than the rst wave of COVID-19 lock-down in India (Dutta and Dutta 2021). On the other hand, the reduction of NO 2 in the second wave is higher than the rst wave due to the more strict restrictions in the Australia (Boroujeni, Saberian et al 2021).…”

Section: Discussionmentioning

confidence: 95%

Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology

Fayaz

2022

Preprint

View full text Add to dashboard Cite

Introduction: The COVID-19 restrictions provided a unique situation for environmental policymakers to examine their hypothesis and present alternative policies for controlling air pollution indices globally. The aim of this study is to estimate the COVID-19 lockdown effects on the air pollution with satellite dataset indices in all 31 provinces of Iran in the first wave from 2020-03-14 to 2020-04-20 vs from 2019-03-14 to 2019-04-20 and second wave from 2021-04-13 to 2021-04-25 vs from 2020-04-13 to 2020-04-25. Methods: The Carbon Monoxide (CO), Water vapor (H2O), Nitrogen Dioxide (NO2), Ozone (O3), Sulfur Dioxide (SO2), Absorbing Aerosol Index (AER), and Atmospheric Formaldehyde (HCHO) as air pollution indices and Pressure, Total precipitation rate, Air temperature and Wind speed as weather indices are downloaded from Google Earth Engine (GEE). Three statistical analysis methods are used: 1) T-test and Wilcoxon rank-sum test for estimating the Unadjusted Effect, 2) Generalized Additive Mixed Model (GAMM) for adjusted Effects and 3) Functional clustering for clustering all provinces. Result: The first wave of the COVID-19 lock-down improves the air quality against the same period in the previous year but the same conclusion is not inferred from data for the second wave. The reduction of CO (-0.00077), NO2 (-0.0000110) and AEI (-0.275) and increment of H2O (106.476), O3 (0.0042) and SO2 (0.000104) are statistically significant in the first wave. But the reduction of CO (-0.00082), H2O (-354.52), O3(-0.00258) and increment of NO2 (0.0000089) and HCHO (0.0000135) are statistically significant in the second wave with GAMM models. The functional clustering with functional principal component analysis (FPCA) shows three major clusters of provinces. Conclusions: We conclude that although the air quality in the first wave is better than the second wave, the Containment and Health Index in the second wave is greater than the first wave.

show abstract

Section: Discussionmentioning

confidence: 95%

Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology

Fayaz

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Furthermore, many studies have analysed the association of air pollution and meteorological variables with the incidence of the COVID-19 pandemic, while highly polluted regions seem to be correlated with COVID-19 cases [51,52]. This hypothesis arose in the early stages of COVID-19's emergence [52].…”

Section: Pm Concentrations In Correlation With Meteorological Paramet...mentioning

confidence: 99%

Variability of Air Pollutant Concentrations and Their Relationships with Meteorological Parameters during COVID-19 Lockdown in Western Macedonia

Begou,

Evagelopoulos,

Charisiou

2023

Atmosphere

View full text Add to dashboard Cite

The lockdown implemented to tackle the spread of the COVID-19 pandemic had a positive impact on air quality. Globally, studies have shown that air pollutant levels decreased temporally during the restriction measures. In this study, we evaluated the impact of COVID-19 restrictions on the air quality of Western Macedonia, Greece, using the concentrations of PM2.5 and PM10 along with meteorological data from the Air Quality Monitoring Stations (AQMS) operated by the Lignite Center of Western Macedonia. In Western Macedonia, previous studies have identified a general reduction in air pollutant levels during the last decade due to the coal phase-out plan for power generation. During the lockdown, the levels of PM2.5 and PM10 decreased further. The reduced emissions from the local mining activities and lignite-fired power plant electricity generation, as well as the weather conditions, seem to contribute to improving air quality.

show abstract

How does the COVID-19-related restriction affect the spatiotemporal variability of ambient air quality in a tropical city?

Pal

Sharma

2023

Environ Monit Assess

View full text Add to dashboard Cite

Association of air pollution and meteorological variables with the two waves of COVID-19 pandemic in Delhi: A critical analysis

Cited by 6 publications

References 67 publications

Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology

Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology

Variability of Air Pollutant Concentrations and Their Relationships with Meteorological Parameters during COVID-19 Lockdown in Western Macedonia

How does the COVID-19-related restriction affect the spatiotemporal variability of ambient air quality in a tropical city?

Contact Info

Product

Resources

About