Impact of COVID-19 Lockdowns on air quality in Bangladesh : Analysis and AQI forecasting with support vector regression

Hossain, Mohammed Tahmid and Hossain, Afra and Meem, Sabrina Masum and Monir, Md Fahad and Miah, Md Saef Ullah and Talha, Sarwar (2023) Impact of COVID-19 Lockdowns on air quality in Bangladesh : Analysis and AQI forecasting with support vector regression. In: 2023 4th International Conference for Emerging Technology, INCET 2023 , 26-28 May 2023 , Belgaum. pp. 1-6.. ISBN 979-835033575-0

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Over the past few decades, air pollution has emerged as a significant environmental hazard, causing premature deaths in Southeast Asia. The proliferation of industrialization and deforestation has resulted in an alarming increase in pollution levels. However, the COVID-19 pandemic has significantly reduced the amount of volatile organic compounds and toxic gases in the air due to the decrease in human activity caused by lockdowns and restrictions. This study aims to investigate the air quality in various geographical areas of Bangladesh, comparing the air quality index (AQI) during different lockdown periods to equivalent eight-year time spans in 10 of the country's busiest cities. This study demonstrates a strong correlation between the rapid and widespread dispersion of COVID-19 and air pollution reduction in Bangladesh. In addition, we evaluated the performance of Support Vector Regression (SVR) in AQI forecasting using the time series dataset. The results can help improve machine learning and deep learning models for accurate AQI forecasting. This study contributes to developing effective policies and strategies for reducing air pollution in Bangladesh and other countries facing similar challenges.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Air pollution; Air quality index (AQI); COVID-19; Environmental risk; Machine learning; Support Vector Regression (SVR); Time series analysis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Institute of Postgraduate Studies
College of Engineering
Faculty of Computing
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 06 Nov 2023 04:34
Last Modified: 06 Nov 2023 04:34
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