Air quality modelling using chemometric techniques

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5410/58155
Uncontrolled Keywords:	air pollutant index; chemometric; ANN; MLR.
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science
Depositing User:	Professor Dr. Kamaruzzaman Yunus
Date Deposited:	25 Aug 2017 15:03
Last Modified:	20 Mar 2018 11:38
URI:	http://irep.iium.edu.my/id/eprint/58155

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