Development of Multiple Linear Regression for Particulate Matter (PM<sub>10</sub>) Forecasting during Episodic Transboundary Haze Event in Malaysia

Development of Multiple Linear Regression for Particulate Matter (PM<sub>10</sub>) Forecasting during Episodic Transboundary Haze Event in Malaysia

Malaysia has been facing transboundary haze events every year in which the air contains particulate matter, particularly PM<sub>10</sub>, which affects human health and the environment. Therefore, it is crucial to develop a PM<sub>10</sub> forecasting model for early informat...

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Bibliographic Details
Main Authors: Samsuri Abdullah, Nur Nazmi Liyana Mohd Napi, Ali Najah Ahmed, Wan Nurdiyana Wan Mansor, Amalina Abu Mansor, Marzuki Ismail, Ahmad Makmom Abdullah, Zamzam Tuah Ahmad Ramly
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Atmosphere
Subjects:
transboundary haze
prediction
multiple linear regression
accuracy
error
malaysia
Online Access:https://www.mdpi.com/2073-4433/11/3/289

Internet

https://www.mdpi.com/2073-4433/11/3/289

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