Evaluation of Machine Learning Models for Estimating PM<sub>2.5</sub> Concentrations across Malaysia

Evaluation of Machine Learning Models for Estimating PM<sub>2.5</sub> Concentrations across Malaysia

Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due to extensive forest, agricultural and peat fires. This study aims to estimate the PM<sub>2.5</sub> concentrations across Malaysia using machine-learning (ML) models like Random Forest (RF) and Sup...

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Bibliographic Details
Main Authors: Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, Mohd Talib Latif
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
PM<sub>2.5</sub>
Himawari-8
random forest
support vector regression
air pollution
Malaysia
Online Access:https://www.mdpi.com/2076-3417/11/16/7326

Internet

https://www.mdpi.com/2076-3417/11/16/7326

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