Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain

In response to the COVID-19 pandemic, governments declared severe restrictions throughout 2020, presenting an unprecedented scenario of reduced anthropogenic emissions of air pollutants derived mainly from traffic sources. To analyze the effect of these restrictions derived from COVID-19 pandemic on...

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Detalles Bibliográficos
Autores principales: González-Pardo, Jaime, Ceballos-Santos, Sandra, Manzanas, Rodrigo, Santibáñez, Miguel, Fernández-Olmo, Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828445/
https://www.ncbi.nlm.nih.gov/pubmed/35151743
http://dx.doi.org/10.1016/j.scitotenv.2022.153786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828445/
https://www.ncbi.nlm.nih.gov/pubmed/35151743
http://dx.doi.org/10.1016/j.scitotenv.2022.153786

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