A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic

China implemented a strict lockdown policy to prevent the spread of COVID-19 in the worst-affected regions, including Wuhan and Shanghai. This study aims to investigate impact of these lockdowns on air quality index (AQI) using a deep learning framework. In addition to historical pollutant concentra...

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Detalles Bibliográficos
Autores principales: Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong, Wang, You-Gan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848720/
https://www.ncbi.nlm.nih.gov/pubmed/36653488
http://dx.doi.org/10.1038/s41598-023-28287-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848720/
https://www.ncbi.nlm.nih.gov/pubmed/36653488
http://dx.doi.org/10.1038/s41598-023-28287-8

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