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10.1098/rsta.2020.0188

http://scihub22266oqcxt.onion/10.1098/rsta.2020.0188
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32981442!7536037!32981442
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suck abstract from ncbi


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pmid32981442      Philos+Trans+A+Math+Phys+Eng+Sci 2020 ; 378 (2183): 20200188
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  • Lower air pollution during COVID-19 lock-down: improving models and methods estimating ozone impacts on crops #MMPMID32981442
  • Dentener F; Emberson L; Galmarini S; Cappelli G; Irimescu A; Mihailescu D; Van Dingenen R; van den Berg M
  • Philos Trans A Math Phys Eng Sci 2020[Oct]; 378 (2183): 20200188 PMID32981442show ga
  • We suggest that the unprecedented and unintended decrease of emissions of air pollutants during the COVID-19 lock-down in 2020 could lead to declining seasonal ozone concentrations and positive impacts on crop yields. An initial assessment of the potential effects of COVID-19 emission reductions was made using a set of six scenarios that variously assumed annual European and global emission reductions of 30% and 50% for the energy, industry, road transport and international shipping sectors, and 80% for the aviation sector. The greatest ozone reductions during the growing season reached up to 12 ppb over crop growing regions in Asia and up to 6 ppb in North America and Europe for the 50% global reduction scenario. In Europe, ozone responses are more sensitive to emission declines in other continents, international shipping and aviation than to emissions changes within Europe. We demonstrate that for wheat the overall magnitude of ozone precursor emission changes could lead to yield improvements between 2% and 8%. The expected magnitude of ozone precursor emission reductions during the Northern Hemisphere growing season in 2020 presents an opportunity to test and improve crop models and experimentally based exposure response relationships of ozone impacts on crops, under real-world conditions. This article is part of a discussion meeting issue 'Air quality, past present and future'.
  • |*Betacoronavirus[MESH]
  • |*Pandemics[MESH]
  • |Air Pollutants/analysis/toxicity[MESH]
  • |Air Pollution/*analysis/prevention & control/statistics & numerical data[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Crops, Agricultural/*drug effects/*growth & development[MESH]
  • |Environmental Monitoring[MESH]
  • |Europe[MESH]
  • |Humans[MESH]
  • |Models, Biological[MESH]
  • |Nitrogen Dioxide/analysis/toxicity[MESH]
  • |Ozone/*analysis/toxicity[MESH]
  • |Pneumonia, Viral/*epidemiology[MESH]
  • |Risk Assessment[MESH]
  • |SARS-CoV-2[MESH]


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