Spatial assessment of air quality patterns in Malaysia using multivariate analysis

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dc.contributor.authorDoreena Dominick
dc.contributor.authorHafizan Juahir
dc.contributor.authorMohd Talib Latif
dc.contributor.authorSharifuddin M. Zain
dc.contributor.authorAhmad Zaharin Aris
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:24:56Z
dc.date.available2024-05-10T03:24:56Z
dc.date.issued2012
dc.description.abstractThis study aims to investigate possible sources of air pollutants and the spatial patterns within the eight selected Malaysian air monitoring stations based on a two-year database (2008-2009). The multivariate analysis was applied on the dataset. It incorporated Hierarchical Agglomerative Cluster Analysis (HACA) to access the spatial patterns, Principal Component Analysis (PCA) to determine the major sources of the air pollution and Multiple Linear Regression (MLR) to assess the percentage contribution of each air pollutant.The HACA results grouped the eight monitoring stations into three different clusters, based on the characteristics of the air pollutants and meteorological parameters.
dc.identifier.citationDominick, D., Juahir, H., Latif, M. T., Zain, S. M., & Aris, A. Z. (2012). Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmospheric environment, 60, 172-181.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/489
dc.languageen
dc.publisherElsevier
dc.publisher.alternativeAtmospheric Environment
dc.subjectAir pollutants
dc.subjectMultivariate analysis
dc.subjectHACA
dc.subjectPCA
dc.subjectMLR
dc.titleSpatial assessment of air quality patterns in Malaysia using multivariate analysis
dc.typeJournal

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