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The impact of lockdown on nitrogen dioxide (NO2) over Central Asian countries during the COVID-19 pandemic.
Zhang, Zhongrong; Liu, Yijia; Liu, Haizhong; Hao, Aihong; Zhang, Zhongwei.
  • Zhang Z; School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, 730070, China. gslzzzr@sohu.com.
  • Liu Y; School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, 730070, China.
  • Liu H; School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, 730070, China.
  • Hao A; School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
  • Zhang Z; School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Environ Sci Pollut Res Int ; 29(13): 18923-18931, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1491325
ABSTRACT
Nitrogen dioxide (NO2) is one of the main air pollutants, formed due to both natural and anthropogenic processes, which has a significant negative impact on human health. The COVID-19 pandemic has prompted countries to take various measures, including social distancing or stay-at-home orders. This study analyzes the impact of COVID-19 lockdown measures on nitrogen dioxide (NO2) changes in Central Asian countries. Data from TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite, as well as meteorological data, make it possible to assess changes in NO2 concentration in countries and major cities in the region. In particular, the obtained satellite data show a decreased tropospheric column of NO2. Its decrease during the lockdown (March 19-April 14) ranged from - 5.1% (Tajikistan) to - 11.6% (Turkmenistan). Based on the obtained results, it can be concluded that limitations in anthropogenic activities have led to improvements in air quality. The possible influence of meteorology is not assessed in this study, and the implied uncertainties cannot be quantified. In this way, the level of air pollution is expected to decrease as long as partial or complete lockdown continues.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-021-17140-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-021-17140-y