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Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns
The COVID-19 lockdowns led to major reductions in air pollutant emissions. Here, we quantitatively evaluate changes in ambient NO(2), O(3), and PM(2.5) concentrations arising from these emission changes in 11 cities globally by applying a deweathering machine learning technique. Sudden decreases in...
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| Pubblicato in: | Sci Adv |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Association for the Advancement of Science
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7806219/ https://ncbi.nlm.nih.gov/pubmed/33523881 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.abd6696 |
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