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Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques
After February 2020, the majority of the world’s governments decided to implement a lockdown in order to limit the spread of the deadly COVID-19 virus. This restriction improved air quality by reducing emissions of particular atmospheric pollutants from industrial and vehicular traffic. In this stud...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280446/ https://www.ncbi.nlm.nih.gov/pubmed/37346587 http://dx.doi.org/10.7717/peerj-cs.1270 |