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

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

Abstract 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...

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Bibliographic Details
Main Authors: Zixi Zhao, Jinran Wu, Fengjing Cai, Shaotong Zhang, You-Gan Wang
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-28287-8

Internet

https://doi.org/10.1038/s41598-023-28287-8

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