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10.1016/j.scitotenv.2020.141105

http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.141105
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32731074!7373013!32731074
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suck abstract from ncbi


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pmid32731074      Sci+Total+Environ 2020 ; 745 (ä): 141105
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  • Nonuniform impacts of COVID-19 lockdown on air quality over the United States #MMPMID32731074
  • Chen LA; Chien LC; Li Y; Lin G
  • Sci Total Environ 2020[Nov]; 745 (ä): 141105 PMID32731074show ga
  • Most of the state governments in United States (U.S.) issued lockdown or business restrictions amid the COVID-19 pandemic in March 2020, which created a unique opportunity to evaluate the air quality response to reduced economic activities. Data acquired from 28 long-term air quality stations across the U.S. revealed widespread but nonuniform reductions of nitrogen dioxide (NO(2)) and carbon monoxide (CO) during the first phase of lockdown (March 15-April 25, 2020) relative to a pre-lockdown reference period and historical baselines established in 2017-2019. The reductions, up to 49% for NO(2) and 37% for CO, are statistically significant at two thirds of the sites and tend to increase with local population density. Significant reductions of particulate matter (PM(2.5) and PM(10)) only occurred in the Northeast and California/Nevada metropolises where NO(2) declined the most, while the changes in ozone (O(3)) were mixed and relatively minor. These findings are consistent with lower transportation and utility demands that dominate NO(2) and CO emissions, especially in major urban areas, due to the lockdown. This study provides an insight into potential public health benefits with more aggressive air quality management, which should be factored into strategies to reopen the U.S. and global economy.
  • |*Coronavirus Infections[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |Air Pollutants/*analysis[MESH]
  • |Air Pollution/*analysis[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Environmental Monitoring[MESH]
  • |Humans[MESH]
  • |Nevada[MESH]
  • |Ozone/*analysis[MESH]
  • |Particulate Matter/analysis[MESH]
  • |SARS-CoV-2[MESH]


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