AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS

TELLA, ABDULWAHEED ADELEKAN (2021) AIR POLLUTION MODELLING IN MALAYSIA USING GIS AND MACHINE LEARNING ALGORITHMS. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

Spatial modelling and analysis can assist in improving the decision-making process of mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter (PM), which has been used to denote the Air Pollutant Index for over 20 years.

Item Type: Thesis (Masters)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments / MOR / COE: Engineering > Civil
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 02 Mar 2022 15:41
Last Modified: 02 Mar 2022 15:41
URI: http://utpedia.utp.edu.my/id/eprint/15758

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