Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis

被引:0
作者
Ladan Khedri Gharibvand
Ali Akbar Jamali
Fatemeh Amiri
机构
[1] Department of Remote Sensing,
[2] Dezful Branch,undefined
[3] Islamic Azad University,undefined
[4] Department of GIS-RS and Watershed Management,undefined
[5] Meybod Branch,undefined
[6] Islamic Azad University,undefined
[7] Department of Petroleum,undefined
[8] Masjed-Soleiman Branch,undefined
[9] Islamic Azad University,undefined
来源
Stochastic Environmental Research and Risk Assessment | 2023年 / 37卷
关键词
Google Earth Engine; NO2; O3; Pandemic lockdown; Sentinel; Statistic;
D O I
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中图分类号
学科分类号
摘要
Air pollution has very damaging effects on human health. In recent years the Coronavirus disease (COVID-19) pandemic has created a worldwide economic disaster. Although the consequences of the COVID-19 lockdowns have had severe effects on economic and social conditions, these lockdowns also have also left beneficial effects on improving air quality and the environment. This research investigated the impact of the COVID-19 lockdown on NO2 and O3 pollutants changes in the industrial and polluted cities of Arak and Tehran in Iran. Based on this, the changes in NO2 and O3 levels during the 2020 lockdown and the same period in 2019 were investigated in these two cities. For this purpose, the Sentinel-5P data of these two pollutants were used during the lockdown period from November 19 to December 05, 2020, and at the same time before the pandemic from November 19 to December 05, 2019. For better results, the effect of climatic factors such as rain and wind in reducing pollution was removed. The obtained results indicate a decrease in NO2 and O3 levels by 3.5% and 6.8% respectively in Tehran and 20.97% and 5.67% in Arak during the lockdown of 2020 compared to the same time in 2019. This decrease can be caused by the reduction in transportation and socio-economic and industrial activities following the lockdown measures. This issue can be a solid point to take a step toward controlling and reducing pollution in non-epidemic conditions by implementing similar standards and policies in the future.
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页码:2023 / 2034
页数:11
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共 183 条
[1]  
Alipourmohajer S(2019)Verification of IVE model for SAIPA Co. fleet emission Pollution 5 235-245
[2]  
Rashidi Y(2020)Google earth engine cloud computing platform for remote sensing big data applications: a comprehensive review IEEE J Sel Top Appl Earth Observations Remote Sens 13 5326-5350
[3]  
Atabi F(2020)COVID-19 lockdown effects on air quality by NO2 in the cities of Barcelona and Madrid (Spain) Sci Total Environ 741 140353-1804
[4]  
Amani M(2020)Does lockdown reduce air pollution? Evidence from 44 cities in northern China Sci Total Environ 731 139052-256
[5]  
Ghorbanian A(2021)Air quality during three covid-19 lockdown phases: AQI, PM2. 5 and NO2 assessment in cities with more than 1 million inhabitants Sustainable Cities and Society 74 103170-1540
[6]  
Ahmadi SA(2020)Impact of COVID-19 event on the air quality in Iran Aerosol Air Qual Res 20 1793-1674
[7]  
Kakooei M(2007)Outdoor air pollution: nitrogen dioxide, sulfur dioxide, and carbon monoxide health effects Am J Med Sci 333 249-857
[8]  
Moghimi A(2020)The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil Sci Total Environ 729 139085-289
[9]  
Mirmazloumi SM(2020)Lower air pollution during COVID-19 lock-down: improving models and methods estimating ozone impacts on crops Philosophical Trans Royal Soc A 378 20200188-27
[10]  
Brisco B(2020)COVID-19 as a factor influencing air pollution? Environ Pollut 263 114466-1046