Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM<sub>2.5</sub> Forecasting in Bangladesh

Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM<sub>2.5</sub> Forecasting in Bangladesh

Atmospheric particulate matter (PM) has major threats to global health, especially in urban regions around the world. Dhaka, Narayanganj and Gazipur of Bangladesh are positioned as top ranking polluted metropolitan cities in the world. This study assessed the performance of the application of hybrid...

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Bibliographic Details
Main Authors: Shihab Ahmad Shahriar, Imrul Kayes, Kamrul Hasan, Mahadi Hasan, Rashik Islam, Norrimi Rosaida Awang, Zulhazman Hamzah, Aweng Eh Rak, Mohammed Abdus Salam
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Atmosphere
Subjects:
air pollution
PM<sub>2.5</sub>
ARIMA-ANN
ARIMA-SVM
CatBoost
deep learning model
Online Access:https://www.mdpi.com/2073-4433/12/1/100

Internet

https://www.mdpi.com/2073-4433/12/1/100

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