Monthly analysis of PM10 in ambient air of Klang Valley, 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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| Format: | Article |
| Language: | English |
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The Malaysian Analytical Sciences Society, Universiti Kebangsaan Malaysia
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53333/1/Monthly%20analysis%20of%20PM10%20in%20ambient%20air%20of%20Klang%20Valley%2C%20Malaysia.pdf |
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| author | Jamalani, Mohd Asrul Abdullah, Ahmad Makmom Azid, Azman Ramli, Mohammad Firuz Baharudin, Mohd Rafee Mohammed Bose, Mahmud Elhadi, Rashieda Elawad Ben Youssef, Khaleed Ali Ahmed Gnadimzadeh, Azadeh Gumel, Danladi Yusuf |
| author_facet | Jamalani, Mohd Asrul Abdullah, Ahmad Makmom Azid, Azman Ramli, Mohammad Firuz Baharudin, Mohd Rafee Mohammed Bose, Mahmud Elhadi, Rashieda Elawad Ben Youssef, Khaleed Ali Ahmed Gnadimzadeh, Azadeh Gumel, Danladi Yusuf |
| author_sort | Jamalani, Mohd Asrul |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T09:17:34Z |
| format | Article |
| id | upm.eprints-53333 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:17:34Z |
| publishDate | 2016 |
| publisher | The Malaysian Analytical Sciences Society, Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | upm.eprints-533332017-10-10T08:44:42Z http://psasir.upm.edu.my/id/eprint/53333/ Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia Jamalani, Mohd Asrul Abdullah, Ahmad Makmom Azid, Azman Ramli, Mohammad Firuz Baharudin, Mohd Rafee Mohammed Bose, Mahmud Elhadi, Rashieda Elawad Ben Youssef, Khaleed Ali Ahmed Gnadimzadeh, Azadeh Gumel, Danladi Yusuf 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. The Malaysian Analytical Sciences Society, Universiti Kebangsaan Malaysia 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53333/1/Monthly%20analysis%20of%20PM10%20in%20ambient%20air%20of%20Klang%20Valley%2C%20Malaysia.pdf Jamalani, Mohd Asrul and Abdullah, Ahmad Makmom and Azid, Azman and Ramli, Mohammad Firuz and Baharudin, Mohd Rafee and Mohammed Bose, Mahmud and Elhadi, Rashieda Elawad and Ben Youssef, Khaleed Ali Ahmed and Gnadimzadeh, Azadeh and Gumel, Danladi Yusuf (2016) Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia. Malaysian Journal of Analytical Sciences, 20 (5). pp. 1159-1170. ISSN 1394-2506 http://www.ukm.my/mjas/mjas2017/ 10.17576/mjas - 2016 - 2005 - 23 |
| spellingShingle | Jamalani, Mohd Asrul Abdullah, Ahmad Makmom Azid, Azman Ramli, Mohammad Firuz Baharudin, Mohd Rafee Mohammed Bose, Mahmud Elhadi, Rashieda Elawad Ben Youssef, Khaleed Ali Ahmed Gnadimzadeh, Azadeh Gumel, Danladi Yusuf Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title | Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title_full | Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title_fullStr | Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title_full_unstemmed | Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title_short | Monthly analysis of PM10 in ambient air of Klang Valley, Malaysia |
| title_sort | monthly analysis of pm10 in ambient air of klang valley malaysia |
| url | http://psasir.upm.edu.my/id/eprint/53333/1/Monthly%20analysis%20of%20PM10%20in%20ambient%20air%20of%20Klang%20Valley%2C%20Malaysia.pdf |
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