Identification source of variation on regional impact of air quality pattern using chemometric

This study intends to show the effectiveness of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), factor analysis (FA) and multiple linear regressions (MLR) for assessing the air quality data and air pollution sources pattern recognit...

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Main Authors:	Azid, Azman, Juahir, Hafizan, Ezani, Ezureen, Toriman, Mohd Ikhwan, Endut, Azizah, Abdul Rahman, Mohd Nordin, Yunus, Kamaruzzaman, Kamarudin, Mohd Khairul Amri, Che Hasnam, Che Noraini, Mohd Saudi, Ahmad Shakir, Umar, Roslan
Format:	Article
Language:	English English
Published:	Taiwan Association for Aerosol Research 2015
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/1/Identification_Source_of_Variation_on_regional_Impact_of_Air.pdf http://irep.iium.edu.my/45415/4/45415_WOS_and_SCOPUS.pdf

id	iium-45415
recordtype	eprints
spelling	iium-454152017-09-06T08:05:30Z http://irep.iium.edu.my/45415/ Identification source of variation on regional impact of air quality pattern using chemometric Azid, Azman Juahir, Hafizan Ezani, Ezureen Toriman, Mohd Ikhwan Endut, Azizah Abdul Rahman, Mohd Nordin Yunus, Kamaruzzaman Kamarudin, Mohd Khairul Amri Che Hasnam, Che Noraini Mohd Saudi, Ahmad Shakir Umar, Roslan QD Chemistry This study intends to show the effectiveness of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), factor analysis (FA) and multiple linear regressions (MLR) for assessing the air quality data and air pollution sources pattern recognition. The data sets of air quality for 12 months (January–December) in 2007, consisting of 14 stations around Peninsular Malaysia with 14 parameters (168 datasets) were applied. Three significant clusters - low pollution source (LPS) region, moderate pollution source (MPS) region, and slightly high pollution source (SHPS) region were generated via HACA. Forward stepwise of DA managed to discriminate 8 variables, whereas backward stepwise of DA managed to discriminate 9 out of 14 variables. The method of PCA and FA has identified 8 pollutants in LPS and SHPS respectively, as well as 11 pollutants in MPS region, where most of the pollutants are expected derived from industrial activities, transportation and agriculture systems. Four MLR models show that PM10 categorize as the primary pollutant in Malaysia. From the study, it can be stipulated that the application of chemometric techniques can disclose meaningful information on the spatial variability of a large and complex air quality data. A clearer review about the air quality and a novel design of air quality monitoring network for better management of air pollution can be achieved. Taiwan Association for Aerosol Research 2015-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45415/1/Identification_Source_of_Variation_on_regional_Impact_of_Air.pdf application/pdf en http://irep.iium.edu.my/45415/4/45415_WOS_and_SCOPUS.pdf Azid, Azman and Juahir, Hafizan and Ezani, Ezureen and Toriman, Mohd Ikhwan and Endut, Azizah and Abdul Rahman, Mohd Nordin and Yunus, Kamaruzzaman and Kamarudin, Mohd Khairul Amri and Che Hasnam, Che Noraini and Mohd Saudi, Ahmad Shakir and Umar, Roslan (2015) Identification source of variation on regional impact of air quality pattern using chemometric. Aerosol and Air Quality Research, 15 (4). pp. 1545-1558. ISSN 2071-1409 (O),1 680-8584 (P) E-ISSN 2071-1409 http://www.aaqr.org/Doi.php?id=35_AAQR-14-04-OA-0073 10.4209/aaqr.2014.04.0073
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QD Chemistry
spellingShingle	QD Chemistry Azid, Azman Juahir, Hafizan Ezani, Ezureen Toriman, Mohd Ikhwan Endut, Azizah Abdul Rahman, Mohd Nordin Yunus, Kamaruzzaman Kamarudin, Mohd Khairul Amri Che Hasnam, Che Noraini Mohd Saudi, Ahmad Shakir Umar, Roslan Identification source of variation on regional impact of air quality pattern using chemometric
description	This study intends to show the effectiveness of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), factor analysis (FA) and multiple linear regressions (MLR) for assessing the air quality data and air pollution sources pattern recognition. The data sets of air quality for 12 months (January–December) in 2007, consisting of 14 stations around Peninsular Malaysia with 14 parameters (168 datasets) were applied. Three significant clusters - low pollution source (LPS) region, moderate pollution source (MPS) region, and slightly high pollution source (SHPS) region were generated via HACA. Forward stepwise of DA managed to discriminate 8 variables, whereas backward stepwise of DA managed to discriminate 9 out of 14 variables. The method of PCA and FA has identified 8 pollutants in LPS and SHPS respectively, as well as 11 pollutants in MPS region, where most of the pollutants are expected derived from industrial activities, transportation and agriculture systems. Four MLR models show that PM10 categorize as the primary pollutant in Malaysia. From the study, it can be stipulated that the application of chemometric techniques can disclose meaningful information on the spatial variability of a large and complex air quality data. A clearer review about the air quality and a novel design of air quality monitoring network for better management of air pollution can be achieved.
format	Article
author	Azid, Azman Juahir, Hafizan Ezani, Ezureen Toriman, Mohd Ikhwan Endut, Azizah Abdul Rahman, Mohd Nordin Yunus, Kamaruzzaman Kamarudin, Mohd Khairul Amri Che Hasnam, Che Noraini Mohd Saudi, Ahmad Shakir Umar, Roslan
author_facet	Azid, Azman Juahir, Hafizan Ezani, Ezureen Toriman, Mohd Ikhwan Endut, Azizah Abdul Rahman, Mohd Nordin Yunus, Kamaruzzaman Kamarudin, Mohd Khairul Amri Che Hasnam, Che Noraini Mohd Saudi, Ahmad Shakir Umar, Roslan
author_sort	Azid, Azman
title	Identification source of variation on regional impact of air quality pattern using chemometric
title_short	Identification source of variation on regional impact of air quality pattern using chemometric
title_full	Identification source of variation on regional impact of air quality pattern using chemometric
title_fullStr	Identification source of variation on regional impact of air quality pattern using chemometric
title_full_unstemmed	Identification source of variation on regional impact of air quality pattern using chemometric
title_sort	identification source of variation on regional impact of air quality pattern using chemometric
publisher	Taiwan Association for Aerosol Research
publishDate	2015
url	http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/ http://irep.iium.edu.my/45415/1/Identification_Source_of_Variation_on_regional_Impact_of_Air.pdf http://irep.iium.edu.my/45415/4/45415_WOS_and_SCOPUS.pdf
first_indexed	2023-09-18T21:04:38Z
last_indexed	2023-09-18T21:04:38Z
_version_	1777410851270033408

Identification source of variation on regional impact of air quality pattern using chemometric

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