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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2020
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Online Access: | http://psasir.upm.edu.my/id/eprint/88439/1/ABSTRACT.pdf |