Air quality modelling using chemometric techniques

The datasets of air quality parameters for three years (2012-2014) were applied. HACA gave the result of three different groups of similarity based on the characteristics of air quality parameters. DA shows all seven parameters (CO, O3, PM10, SO2, NOx, NO and NO2) gave the most significant variables...

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Main Authors:	Azid, A., Rani, N. A. A., Samsudin, M. S., Khalit, S. I., Gasim, M. B., Kamarudin, M. K. A., Yunus, Kamaruzzaman, Saudi, A. S. M., Yusof, K. M. K. K.
Format:	Article
Language:	English
Published:	University of El Oued, Algeria 2017
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/58155/ http://irep.iium.edu.my/58155/1/2.pdf

id	iium-58155
recordtype	eprints
spelling	iium-581552018-03-20T03:38:01Z http://irep.iium.edu.my/58155/ Air quality modelling using chemometric techniques Azid, A. Rani, N. A. A. Samsudin, M. S. Khalit, S. I. Gasim, M. B. Kamarudin, M. K. A. Yunus, Kamaruzzaman Saudi, A. S. M. Yusof, K. M. K. K. Q Science (General) The datasets of air quality parameters for three years (2012-2014) were applied. HACA gave the result of three different groups of similarity based on the characteristics of air quality parameters. DA shows all seven parameters (CO, O3, PM10, SO2, NOx, NO and NO2) gave the most significant variables after stepwise backward mode. PCA identifies the major source of air pollution is due to combustion of fossil fuels in motor vehicles and industrial activities. The ANN model shows a better prediction compared to the MLR model with R2 values equal to 0.819 and 0.773 respectively. This study presents that the chemometric techniques and modelling become an excellent tool in API assessment, air pollution source identification, apportionment and can be setbacks in designing an API monitoring network for effective air pollution resources management. University of El Oued, Algeria 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58155/1/2.pdf Azid, A. and Rani, N. A. A. and Samsudin, M. S. and Khalit, S. I. and Gasim, M. B. and Kamarudin, M. K. A. and Yunus, Kamaruzzaman and Saudi, A. S. M. and Yusof, K. M. K. K. (2017) Air quality modelling using chemometric techniques. Journal of Fundamental and Applied Sciences, 9 (2 (Special Issue)). pp. 443-466. ISSN 1112-9867
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Azid, A. Rani, N. A. A. Samsudin, M. S. Khalit, S. I. Gasim, M. B. Kamarudin, M. K. A. Yunus, Kamaruzzaman Saudi, A. S. M. Yusof, K. M. K. K. Air quality modelling using chemometric techniques
description	The datasets of air quality parameters for three years (2012-2014) were applied. HACA gave the result of three different groups of similarity based on the characteristics of air quality parameters. DA shows all seven parameters (CO, O3, PM10, SO2, NOx, NO and NO2) gave the most significant variables after stepwise backward mode. PCA identifies the major source of air pollution is due to combustion of fossil fuels in motor vehicles and industrial activities. The ANN model shows a better prediction compared to the MLR model with R2 values equal to 0.819 and 0.773 respectively. This study presents that the chemometric techniques and modelling become an excellent tool in API assessment, air pollution source identification, apportionment and can be setbacks in designing an API monitoring network for effective air pollution resources management.
format	Article
author	Azid, A. Rani, N. A. A. Samsudin, M. S. Khalit, S. I. Gasim, M. B. Kamarudin, M. K. A. Yunus, Kamaruzzaman Saudi, A. S. M. Yusof, K. M. K. K.
author_facet	Azid, A. Rani, N. A. A. Samsudin, M. S. Khalit, S. I. Gasim, M. B. Kamarudin, M. K. A. Yunus, Kamaruzzaman Saudi, A. S. M. Yusof, K. M. K. K.
author_sort	Azid, A.
title	Air quality modelling using chemometric techniques
title_short	Air quality modelling using chemometric techniques
title_full	Air quality modelling using chemometric techniques
title_fullStr	Air quality modelling using chemometric techniques
title_full_unstemmed	Air quality modelling using chemometric techniques
title_sort	air quality modelling using chemometric techniques
publisher	University of El Oued, Algeria
publishDate	2017
url	http://irep.iium.edu.my/58155/ http://irep.iium.edu.my/58155/1/2.pdf
first_indexed	2023-09-18T21:22:13Z
last_indexed	2023-09-18T21:22:13Z
_version_	1777411957072068608

Air quality modelling using chemometric techniques

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