Source apportionment of PM10: comparing PCA and PMF results for three monitoring sites in Bukit Lagong quarry area

Izhar Abadi Ibrahim Rais, . and Wong War Kuan, . and Chin Thiam Hin, . (2009) Source apportionment of PM10: comparing PCA and PMF results for three monitoring sites in Bukit Lagong quarry area. [Proceedings Paper]

The identification of air pollution sources source apportionment techniques is an important step in the development ofair quality control strategies. In this study 24 -h PMlO particulate matter with aerodynamical diameter 10 J1m samples were collected by using air samplers from three areas representing the estuary of quarry area in Bukit Lagong Selangor during 04 August 2008 to 26 September 2008. Samples n139 were analysed for their elemental composition by using Inductively-Coupled Plasma-Optical Emission Spectrometer ICP-OES to generate the source composition profiles. After that elemental composition data were used to estimate possible source signatures using Principle Component Analysis PCA and Positive Matrix Factorization PMF statistical methods. The source apportionment results showed that no significant different between the two methods. In conclusion both methods are able to identify major sources of PM /0 with some degree of agreements and correlations.

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Abstract

The identification of air pollution sources source apportionment techniques is an important step in the development ofair quality control strategies. In this study 24 -h PMlO particulate matter with aerodynamical diameter 10 J1m samples were collected by using air samplers from three areas representing the estuary of quarry area in Bukit Lagong Selangor during 04 August 2008 to 26 September 2008. Samples n139 were analysed for their elemental composition by using Inductively-Coupled Plasma-Optical Emission Spectrometer ICP-OES to generate the source composition profiles. After that elemental composition data were used to estimate possible source signatures using Principle Component Analysis PCA and Positive Matrix Factorization PMF statistical methods. The source apportionment results showed that no significant different between the two methods. In conclusion both methods are able to identify major sources of PM /0 with some degree of agreements and correlations.

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Item Type:	Proceedings Paper
Additional Information:	Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. mal QE 351 M664 2009 Call Number.
AGROVOC Term:	Monitoring
AGROVOC Term:	Air pollution
AGROVOC Term:	Quality controls
AGROVOC Term:	Estuaries
AGROVOC Term:	emission
AGROVOC Term:	Component analysis statistics
AGROVOC Term:	Factorial analysis
AGROVOC Term:	Granite
AGROVOC Term:	Industrial sector
AGROVOC Term:	Environmental impact
Geographical Term:	MALAYSIA
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 05:14
URI:	http://webagris.upm.edu.my/id/eprint/12205

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