Classification of air quality in the Klang Valley using K-Means Clustering / Nur Aliah Amira Abdul Hamid, Siti Khairun Najwa Kamil and Noorezatty Mohd Yusop

Abdul Hamid, Nur Aliah Amira and Kamil, Siti Khairun Najwa and Mohd Yusop, Noorezatty (2024) Classification of air quality in the Klang Valley using K-Means Clustering / Nur Aliah Amira Abdul Hamid, Siti Khairun Najwa Kamil and Noorezatty Mohd Yusop. Journal of Exploratory Mathematical Undergraduate Research (JEMUR), 2. ISSN 3030-5411

Abstract

Air pollution is a major global concern, and its adverse impacts are most likely to affect urban areas. The Klang Valley, located on the southwest coast of Peninsular Malaysia, is also affected by this global issue. As one of the most industrialized and populated areas, controlling air pollution is a challenge. Thus, this paper aims to classify air monitoring stations in the Klang Valley into distinct clusters based on six major air pollutants. Data on pollutant levels collected by the Department of Environment from air monitoring stations throughout the region was utilised. Fourteen stations representing seven areas in Klang Valley were assessed in two weather conditions: the dry season (May-September) and the rainy season (November-March), typically known as monsoon seasons in Malaysia. Two clusters of air monitoring stations were identified using K-Means clustering. The first cluster, comprising four stations, showed better air quality with lower pollutant levels. In contrast, the second cluster, which includes ten stations, showed higher pollutant levels. However, the pollutant levels in both clusters were within the permissible limits according to the Malaysian Ambient Air Quality Guidelines. Furthermore, the location of the monitoring station can influence pollutant levels, whereas seasonal variations (dry or rainy) have a lesser impact. Consistent monitoring is crucial for tracking air pollution changes and adjusting policies accordingly.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Abdul Hamid, Nur Aliah Amira
UNSPECIFIED
Kamil, Siti Khairun Najwa
UNSPECIFIED
Mohd Yusop, Noorezatty
UNSPECIFIED
Subjects: L Education > L Education (General)
Q Science > QA Mathematics
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Journal or Publication Title: Journal of Exploratory Mathematical Undergraduate Research (JEMUR)
ISSN: 3030-5411
Volume: 2
Keywords: Air pollution, Clustering Algorithm, K-Means Cluster Analysis
Date: October 2024
URI: https://ir.uitm.edu.my/id/eprint/105997
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