Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]

The urbanization in Klang Valley, Peninsular Malaysia over the last decades has induce the atmospheric pollution’s risk resulted to negative impact on the environment. The aims of this paper are to identify the spatial-temporal relationship of particulate matter (PM10), to determine the characterist...

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Main Authors: Azman, Azid, Mohd Asrul, Jamalani, Ahmad Makmom, Abdullah
Format: Article
Language:English
English
Published: Malaysian Society of Analytical Sciences 2016
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Online Access:http://eprints.unisza.edu.my/7577/1/FH02-ESERI-16-06768.pdf
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spelling my-unisza-ir.75772022-09-13T05:16:46Z http://eprints.unisza.edu.my/7577/ Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia] Azman, Azid Mohd Asrul, Jamalani Ahmad Makmom, Abdullah GE Environmental Sciences The urbanization in Klang Valley, Peninsular Malaysia over the last decades has induce the atmospheric pollution’s risk resulted to negative impact on the environment. The aims of this paper are to identify the spatial-temporal relationship of particulate matter (PM10), to determine the characteristic of each location and to classify hierarchical of the location in relation to their impact on PM10 concentration in Klang Valley. The Spearman correlation test indicate that there was strong significant relationship between all the locations (> 0.7; p < 0.001) and moderate relationship between Petaling Jaya-Kajang and Kajang-Shah Alam (< 0.7; p < 0.001). The principal component analysis (PCA) identifies all four locations have been affected by PM10 which were determined as one of the pollutant that deteriorated the air quality. Cluster analysis (CA) has classified the PM10 pattern into three (3) different classes; Class 1 (Klang), Class 2 (Petaling Jaya and Kajang) and Class 3 (Shah Alam) based on location. Further analysis of CA would be able to classify the PM10 classes into groups depending on their dissimilarities characteristic. Thus, possible period of extreme air quality degradation could be identified. Therefore, statistical and envirometric techniques have proved the impact of the various location on increasing concentration of PM10. Malaysian Society of Analytical Sciences 2016 Article PeerReviewed text en http://eprints.unisza.edu.my/7577/1/FH02-ESERI-16-06768.pdf image en http://eprints.unisza.edu.my/7577/2/FH02-ESERI-16-07202.jpg Azman, Azid and Mohd Asrul, Jamalani and Ahmad Makmom, Abdullah (2016) Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]. Malaysian Journal of Analytical Sciences, 20 (5). pp. 1159-1170. ISSN 1394 - 2506
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
topic GE Environmental Sciences
spellingShingle GE Environmental Sciences
Azman, Azid
Mohd Asrul, Jamalani
Ahmad Makmom, Abdullah
Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
description The urbanization in Klang Valley, Peninsular Malaysia over the last decades has induce the atmospheric pollution’s risk resulted to negative impact on the environment. The aims of this paper are to identify the spatial-temporal relationship of particulate matter (PM10), to determine the characteristic of each location and to classify hierarchical of the location in relation to their impact on PM10 concentration in Klang Valley. The Spearman correlation test indicate that there was strong significant relationship between all the locations (> 0.7; p < 0.001) and moderate relationship between Petaling Jaya-Kajang and Kajang-Shah Alam (< 0.7; p < 0.001). The principal component analysis (PCA) identifies all four locations have been affected by PM10 which were determined as one of the pollutant that deteriorated the air quality. Cluster analysis (CA) has classified the PM10 pattern into three (3) different classes; Class 1 (Klang), Class 2 (Petaling Jaya and Kajang) and Class 3 (Shah Alam) based on location. Further analysis of CA would be able to classify the PM10 classes into groups depending on their dissimilarities characteristic. Thus, possible period of extreme air quality degradation could be identified. Therefore, statistical and envirometric techniques have proved the impact of the various location on increasing concentration of PM10.
format Article
author Azman, Azid
Mohd Asrul, Jamalani
Ahmad Makmom, Abdullah
author_facet Azman, Azid
Mohd Asrul, Jamalani
Ahmad Makmom, Abdullah
author_sort Azman, Azid
title Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
title_short Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
title_full Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
title_fullStr Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
title_full_unstemmed Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia [Analisis PM10 bulanan di dalam udara di Lembah Klang, Malaysia]
title_sort monthly analysis of pm10 in ambient air of klang valley, malaysia [analisis pm10 bulanan di dalam udara di lembah klang, malaysia]
publisher Malaysian Society of Analytical Sciences
publishDate 2016
url http://eprints.unisza.edu.my/7577/1/FH02-ESERI-16-06768.pdf
http://eprints.unisza.edu.my/7577/2/FH02-ESERI-16-07202.jpg
http://eprints.unisza.edu.my/7577/
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score 13.159267