Predicting the Impact of Change in Air Quality Patterns Due to COVID-19 Lockdown Policies in Multiple Urban Cities of Henan: A Deep Learning Approach

Predicting the Impact of Change in Air Quality Patterns Due to COVID-19 Lockdown Policies in Multiple Urban Cities of Henan: A Deep Learning Approach

Several countries implemented prevention and control measures in response to the 2019 new coronavirus virus (COVID-19) pandemic. To study the impact of the lockdown due to COVID-19 on multiple cities, this study utilized data from 18 cities of Henan to understand the air quality pattern change durin...

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Bibliographic Details
Main Authors: Mughair Aslam Bhatti, Zhiyao Song, Uzair Aslam Bhatti, Naushad Ahmad
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Atmosphere
Subjects:
air quality pattern
Bi-LSTM
air pollution
COVID-19
Online Access:https://www.mdpi.com/2073-4433/14/5/902

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