Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques

Air pollution is becoming a major environmental issue in the southern region of Peninsular Malaysia. Environmetric techniques (HACA, DA, and PCA/FA) were used to evaluate the spatial variations in the southern region of Peninsular Malaysia, followed by API prediction comparison using ANN and MLR mod...

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Main Authors: Azid, Azman, Juahir, Hafizan, Aris, Ahmad Zaharin, Toriman, Mohd Ekhwan, Latif, Mohd Talib, Md Zain, Sharifuddin, Ku Yusof, Ku Mohd Kalkausar, Mohd Saudi, Ahmad Shakir
Format: Conference or Workshop Item
Language:English
Published: Springer 2013
Online Access:http://psasir.upm.edu.my/id/eprint/55754/1/Spatial%20analysis%20of%20the%20air%20pollutant%20index%20in%20the%20southern%20region%20of%20Peninsular%20Malaysia%20using%20environmetric%20techniques.pdf
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author Azid, Azman
Juahir, Hafizan
Aris, Ahmad Zaharin
Toriman, Mohd Ekhwan
Latif, Mohd Talib
Md Zain, Sharifuddin
Ku Yusof, Ku Mohd Kalkausar
Mohd Saudi, Ahmad Shakir
author_facet Azid, Azman
Juahir, Hafizan
Aris, Ahmad Zaharin
Toriman, Mohd Ekhwan
Latif, Mohd Talib
Md Zain, Sharifuddin
Ku Yusof, Ku Mohd Kalkausar
Mohd Saudi, Ahmad Shakir
author_sort Azid, Azman
collection UPM
description Air pollution is becoming a major environmental issue in the southern region of Peninsular Malaysia. Environmetric techniques (HACA, DA, and PCA/FA) were used to evaluate the spatial variations in the southern region of Peninsular Malaysia, followed by API prediction comparison using ANN and MLR models. The datasets of air pollutant parameters for 3 years (2005–2007) were applied in this study. HACA clustered 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/FA identify that 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 concluded that the environmetric techniques and modelling become an excellent tool in API assessment, air pollution source identification, apportionment, and interpretation of complex dataset with a view to get better information about the air quality, and can be setbacks in designing an API monitoring network for effective air pollution resources management.
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spelling upm.eprints-557542017-06-07T08:46:20Z http://psasir.upm.edu.my/id/eprint/55754/ Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques Azid, Azman Juahir, Hafizan Aris, Ahmad Zaharin Toriman, Mohd Ekhwan Latif, Mohd Talib Md Zain, Sharifuddin Ku Yusof, Ku Mohd Kalkausar Mohd Saudi, Ahmad Shakir Air pollution is becoming a major environmental issue in the southern region of Peninsular Malaysia. Environmetric techniques (HACA, DA, and PCA/FA) were used to evaluate the spatial variations in the southern region of Peninsular Malaysia, followed by API prediction comparison using ANN and MLR models. The datasets of air pollutant parameters for 3 years (2005–2007) were applied in this study. HACA clustered 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/FA identify that 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 concluded that the environmetric techniques and modelling become an excellent tool in API assessment, air pollution source identification, apportionment, and interpretation of complex dataset with a view to get better information about the air quality, and can be setbacks in designing an API monitoring network for effective air pollution resources management. Springer 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55754/1/Spatial%20analysis%20of%20the%20air%20pollutant%20index%20in%20the%20southern%20region%20of%20Peninsular%20Malaysia%20using%20environmetric%20techniques.pdf Azid, Azman and Juahir, Hafizan and Aris, Ahmad Zaharin and Toriman, Mohd Ekhwan and Latif, Mohd Talib and Md Zain, Sharifuddin and Ku Yusof, Ku Mohd Kalkausar and Mohd Saudi, Ahmad Shakir (2013) Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques. In: International Conference on Environmental Forensics 2013, 11-14 Nov. 2013, Marriot Hotel, Putrajaya, Malaysia. (pp. 307-312). 10.1007/978-981-4560-70-2_56
spellingShingle Azid, Azman
Juahir, Hafizan
Aris, Ahmad Zaharin
Toriman, Mohd Ekhwan
Latif, Mohd Talib
Md Zain, Sharifuddin
Ku Yusof, Ku Mohd Kalkausar
Mohd Saudi, Ahmad Shakir
Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title_full Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title_fullStr Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title_full_unstemmed Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title_short Spatial analysis of the air pollutant index in the southern region of Peninsular Malaysia using environmetric techniques
title_sort spatial analysis of the air pollutant index in the southern region of peninsular malaysia using environmetric techniques
url http://psasir.upm.edu.my/id/eprint/55754/1/Spatial%20analysis%20of%20the%20air%20pollutant%20index%20in%20the%20southern%20region%20of%20Peninsular%20Malaysia%20using%20environmetric%20techniques.pdf
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