Development of multiple linear regression for particulate matter (PM10) forecasting during episodic transboundary haze event in Malaysia

Development of multiple linear regression for particulate matter (PM10) 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 PM10, which affects human health and the environment. Therefore, it is crucial to develop a PM10 forecasting model for early information and warning alerts to the responsible part...

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Bibliographic Details
Main Authors: Abdullah, Samsuri, Mohd Napi, Nur Nazmi Liyana, Ahmed, Ali Najah, Wan Mansor, Wan Nurdiyana, Abu Mansor, Amalina, Ismail, Marzuki, Abdullah, Ahmad Makmom, Ahmad Ramly, Zamzam Tuah
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88439/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88439/
https://www.mdpi.com/2073-4433/11/3/289
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Institution: Universiti Putra Malaysia
Language: English

Internet

http://psasir.upm.edu.my/id/eprint/88439/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88439/
https://www.mdpi.com/2073-4433/11/3/289

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