Impact of the inversion and air pollution on the number of patients with Covid-19 in the metropolitan city of Tehran

Keikhosravi, Ghasem; Fadavi, Seyedeh Fatemeh

doi:10.1016/j.uclim.2021.100867

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…The results showed that the highest near-surface air temperature was observed in August 2019 and 2021, while the lowest temperature occurred in May 2019 and 2021. By comparing the findings with previous studies ( Keikhosravi and Fadavi, 2021 ), it was found that polluted metropolises such as Tehran and Isfahan have lower wind speed, which contributes to air stability and pollution accumulation. The results of this study are consistent with the known effects of air inversion on air pollution and strengthen the understanding of the relationship between temperature inversion and pollution patterns in urban areas, which is consistent with studies ( Shi et al, 2021 ).…”

Section: Discussionmentioning

confidence: 55%

Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

Shaygan

Mokarram

2023

Advances in Space Research

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Section: Discussionmentioning

confidence: 55%

Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

Shaygan

Mokarram

2023

Advances in Space Research

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“…the air temperature, downward UV radiation, humidity) or phenomena (i.e. thermal inversion) can influence the number of COVID-19 cases (Higham et al, 2021;Keikhosravi & Fadavi, 2021;Werner et al, 2021). There has also been an attempt to use a chemistry transport model to determine the impact of the lockdown on the atmosphere's composition, while offsetting meteorological conditions (Menut et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

How Covid-19 pandemic influenced air quality in Polish cities – lessons from three lockdowns

2022

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The aim of this study was to determine how COVID-19 pandemic influenced air quality in the chosen Polish cities. Data on nitrogen oxides, carbon monoxides, fine and coarse particulate matter concentrations from air quality monitoring stations was used to compare pollutants levels during the pandemic and in the 5-year pre-pandemic period. The impact of the pandemic on the air quality has been analysed using linear mixed effect models, adjusting for long-term, seasonal and weekly trends and meteorological conditions. Results showed that during the pandemic, until the second lockdown only nitrogen oxides levels were significantly reduced (up to 20%), while when again loosening restrictions the rebound effect led to 20-30% increase of all analysed pollutants.

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Spatiotemporal analysis of COVID-19, air pollution, climate, and meteorological conditions in a metropolitan region of Iran

Moazeni

Maracy

Dehdashti

et al. 2021

Environ Sci Pollut Res

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The COVID-19 pandemic has a close relationship with local environmental conditions. This study explores the effects of climate characteristics and air pollution on COVID-19 in Isfahan province, Iran. A number of COVID-19 positive cases, main air pollutants, air quality index (AQI), and climatic variables were received from March 1, 2020, to January 19, 2021. Moreover, CO, NO 2 , and O 3 tropospheric levels were collected using Sentinel-5P satellite data. The spatial distribution of variables was estimated by the ordinary Kriging and inverse weighted distance (IDW) models. A generalized linear model (GLM) was used to analyze the relationship between environmental variables and COVID-19. The seasonal trend of nitrogen dioxide (NO 2 ), wind speed, solar energy, and rainfall like COVID-19 was upward in spring and summer. The high and low temperatures increased from April to August. All variables had a spatial autocorrelation and clustered pattern except AQI. Furthermore, COVID-19 showed a significant association with month, climate, solar energy, and NO 2 . Suitable policy implications are recommended to be performed for improving people's healthcare and control of the COVID-19 pandemic. This study could survey the local spread of COVID-19, with consideration of the effect of environmental variables, and provides helpful information to health ministry decisions for mitigating harmful effects of environmental change. By means of the proposed approach, probably the COVID-19 spread can be recognized by knowing the regional climate in major cities. The present study also finds that COVID-19 may have an effect on climatic condition and air pollutants.

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Impact of the inversion and air pollution on the number of patients with Covid-19 in the metropolitan city of Tehran

Cited by 7 publications

References 32 publications

Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic

How Covid-19 pandemic influenced air quality in Polish cities – lessons from three lockdowns

Spatiotemporal analysis of COVID-19, air pollution, climate, and meteorological conditions in a metropolitan region of Iran

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