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 DOI Creative Commons
Mohammad Fayaz

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Nov. 11, 2022

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

Language: Английский

On the predictability of short-lived particulate matter around a cement plant in Kerman, Iran: machine learning analysis DOI Open Access
Faezeh Borhani, Majid Shafiepour Motlagh,

Amir Houshang Ehsani

et al.

International Journal of Environmental Science and Technology, Journal Year: 2022, Volume and Issue: 20(2), P. 1513 - 1526

Published: Nov. 9, 2022

Language: Английский

Citations

17

Effects of Mobility Restrictions on Air Pollution in the Madrid Region during the COVID-19 Pandemic and Post-Pandemic Periods DOI Open Access
Jorge Bañuelos-Gimeno, Natalia Sobrino, Rosa María Arce Ruiz

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(17), P. 12702 - 12702

Published: Aug. 22, 2023

Air quality is one of the problems cities face today. The COVID-19 pandemic provided a unique opportunity to study influence traffic reduction on air during 2020, 2021, and 2022. aim this paper analyze impacts relationship between mobility restrictions in six wave periods pollution evolution post-pandemic period differentiating Madrid city from its metropolitan area. We tested whether changes produced for NO2, NOx, PM2.5, PM10, O3 urban suburban stations data comparison 2019 reference were significant. findings show that with greatest pollutant concentrations first third waves, when most stringent: there was strict confinement (i.e., 47% daily average NO2 concentration), while severe weather forced region 41% NOx concentration). With return normal activity last period, began exceed pre-pandemic levels. At level, reductions more noticeable relation at less prominent, except O3. results are particularly inspiring designing future strategies improving areas.

Language: Английский

Citations

7

Initial Insights into Teleworking’s Effect on Air Quality in Madrid City DOI Open Access
Jorge Bañuelos-Gimeno, Natalia Sobrino, Rosa María Arce Ruiz

et al.

Published: Aug. 16, 2024

Commuting to work by private vehicle is one of the main sources air pollution in cities, mainly from NO2 and particulate matter (PM2.5 PM10). With spread telework, traffic congestion during peak hours reduced on certain days week, improving quality. This study an-alyzes relationship between improvement quality urban resulting teleworking activities after COVID-19 pandemic Madrid, Spain. The article considers road before (2018 2019), (2020 2021) period (2022 2023) city center in-fluence environmental factors. Daily NO2, PM2.5, PM10, O3 concentration data were collected at stations Madrid municipality, some meteorological variables such as wind speed, precipitation temperature considered. When conducting correlation regression analysis among it shows a clear association pandemic, which lower for both PM O3. was main-tained except O3, whose increased this then decreased later due various motives. These results seem indicate ex-istence relevant mobility an especially rele-vant with suggesting need policies aimed promoting sustainable future.

Language: Английский

Citations

2

The effect of the urban exposome on COVID-19 health outcomes: A systematic review and meta-analysis DOI Creative Commons

Laura Houweling,

Anke H. Maitland‐van der Zee, Judith C.S. Holtjer

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 240, P. 117351 - 117351

Published: Oct. 17, 2023

The global severity of SARS-CoV-2 illness has been associated with various urban characteristics, including exposure to ambient air pollutants. This systematic review and meta-analysis aims synthesize findings from ecological non-ecological studies investigate the impact multiple urban-related features on a variety COVID-19 health outcomes.On December 5, 2022, PubMed was searched identify all types observational that examined one or more exposome characteristics in relation outcomes such as infection severity, need for hospitalization, ICU admission, COVID pneumonia, mortality.A total 38 241 were included this review. Non-ecological highlighted significant effects population density, urbanization, pollutants, particularly PM2.5. meta-analyses revealed 1 μg/m3 increase PM2.5 higher likelihood hospitalization (pooled OR 1.08 (95% CI:1.02-1.14)) death 1.06 CI:1.03-1.09)). Ecological studies, addition confirming also indicated nitrogen dioxide (NO2), ozone (O3), sulphur (SO2), carbon monoxide (CO), well lower temperature, humidity, ultraviolet (UV) radiation, less green blue space exposure, increased morbidity mortality.This identified several key vulnerability related areas context recent pandemic. underscore importance improving policies exposures implementing measures protect individuals these harmful environmental stressors.

Language: Английский

Citations

5

Climate and COVID-19 transmission: a cross-sectional study in Africa DOI Creative Commons

Ousmane Koanda,

Roland Yonaba, Tazen Fowé

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Oct. 31, 2023

The role of climate in the Coronavirus disease 2019 (COVID-19) transmission appears to be controversial, as reported earlier studies. In Africa, subject is poorly documented. this study, over period from January 1st, 2020 September 31, 2022, daily variations cumulative confirmed cases COVID-19 for each African country (54 countries) are modelled through time-series-based approaches and using meteorological factors covariates. It suggested findings that plays a since at least one factor found significant 32 countries. decreasing order, most often occurring dewpoint temperature, relative absolute humidity, average temperature solar radiation. Most these show lagged effect with (between 0 28 days). Also, some exhibit contrasting effects on transmission, resulting both positive negative association cases, therefore highlighting complex nature interplay between transmission.

Language: Английский

Citations

2

Initial Insights into Teleworking’s Effect on Air Quality in Madrid City DOI Open Access
Jorge Bañuelos-Gimeno, Natalia Sobrino, Rosa María Arce Ruiz

et al.

Environments, Journal Year: 2024, Volume and Issue: 11(9), P. 204 - 204

Published: Sept. 18, 2024

Commuting to work by private vehicle is one of the main sources air pollution in cities, mainly from NO2 and particulate matter (PM2.5 PM10). With spread telework, traffic congestion during peak hours reduced on certain days week, improving quality. This study analyzes relationship between improvement quality urban resulting teleworking activities after COVID-19 pandemic Madrid, Spain. article considers road before (2018 2019), (2020 2021) period (2022 2023) city center influence environmental factors. Daily NO2, PM2.5, PM10, O3 concentration data were collected at stations Madrid municipality, some meteorological variables such as wind speed, precipitation temperature considered. When conducting correlation regression analysis among variables, there a clear association pandemic, which lower for both PM O3. was maintained except O3, increased this then decreased later due various motives. These results seem indicate existence relevant mobility an especially with suggesting need policies aimed promoting sustainable future.

Language: Английский

Citations

0

Investigating the Role of Environmental Factors on the Survival, Stability, and Transmission of SARS-CoV-2, and Their Contribution to COVID-19 Outbreak: A Review DOI Open Access

Leili Mohammadi,

Ahmad Mehravaran, Zahra Derakhshan

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(18), P. 11135 - 11135

Published: Sept. 6, 2022

Studies conducted in the last four years show conflicting findings on role of environment survival, stability, and transmission SARS-CoV-2. Based current evidence, factors that affect severity COVID-19 include host interaction, environmental virus volume, transmission, social interactions, restriction measures. Moreover, persistence depends different conditions, videlicet temperature, humidity, pH, salinity, solar radiation. The outbreak respiratory viruses is related mainly to temperature geographical locations (latitude). In SARS-CoV-2, humidity seem play a fundamental role. studies have indicated health such as equitable systems, hygiene, underlying diseases played pivotal incidence COVID-19. Therefore, addressing issues associated with reducing SARS-CoV-2 outbreaks plays an essential global health. contrast, stimuli are unknown. Given ongoing threat pandemic, it important understand respond quickly emerging variants while implementing long-term sustainable control strategies. This review discusses conditions

Language: Английский

Citations

2

Environmental gaseous pollutants are related to increase of acute coronary syndrome in Valencia region, Spain DOI

Guillem Ruvira,

Jorge Ruvira-Durante,

Juan Cosı́n-Sales

et al.

Medicina Clínica, Journal Year: 2023, Volume and Issue: 160(12), P. 519 - 524

Published: April 21, 2023

Citations

0

Environmental gaseous pollutants are related to increase of acute coronary syndrome in Valencia region, Spain DOI

Guillem Ruvira,

Jorge Ruvira-Durante,

Juan Cosı́n-Sales

et al.

Medicina Clínica (English Edition), Journal Year: 2023, Volume and Issue: 160(12), P. 519 - 524

Published: June 1, 2023

Citations

0

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 DOI Creative Commons
Mohammad Fayaz

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Nov. 11, 2022

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

Language: Английский

Citations

0