Spatial analysis of the certain air pollutants using environmetric techniques

This study aims to identify the spatial variation of air pollutant and its pattern in the northern part of Peninsular Malaysia for four years monitoring observation (2008-2011) based on the seven air monitoring stations. Air pollutant variables that used in this study were Nitrogen Dioxide (NO2), Oz...

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Main Authors:	Mohammad, Azizi Amran, Azid, Azman, Juahir, Hafizan, Toriman, Mohd Ekhwan, Mustafa, Ahmad Dasuki, Che Hasnam, Che Noraini, Azaman, Fazureen, Kamarudin, Mohd Khairul Amri, Mohd Saudi, Ahmad Shakir, Yunus, Kamaruzzaman
Format:	Article
Language:	English
Published:	Universiti Teknologi Malaysia 2015
Subjects:	TD172 Environmental pollution
Online Access:	http://irep.iium.edu.my/45413/ http://irep.iium.edu.my/45413/1/Spatial_Analysis_of_the_certain_air_pollutants.pdf

id	iium-45413
recordtype	eprints
spelling	iium-454132016-01-06T00:23:35Z http://irep.iium.edu.my/45413/ Spatial analysis of the certain air pollutants using environmetric techniques Mohammad, Azizi Amran Azid, Azman Juahir, Hafizan Toriman, Mohd Ekhwan Mustafa, Ahmad Dasuki Che Hasnam, Che Noraini Azaman, Fazureen Kamarudin, Mohd Khairul Amri Mohd Saudi, Ahmad Shakir Yunus, Kamaruzzaman TD172 Environmental pollution This study aims to identify the spatial variation of air pollutant and its pattern in the northern part of Peninsular Malaysia for four years monitoring observation (2008-2011) based on the seven air monitoring stations. Air pollutant variables that used in this study were Nitrogen Dioxide (NO2), Ozone (O3), Carbon Monoxide (CO), and Particulate Matter (PM10) data and had been supplied by Department Of Environment Malaysia (DOE). ANOVA, environmetric techniques (HACA and Descriptive Analysis) and Artificial Neural Network (ANN) approach were used in data analysed. According to ANOVA single test, significance p-value of PM10 (p= 2.5E-268) is smaller than significance alpha level (p=0.05) and it suitable parameter for further analysis in construct the prevention actions compared to O3, NO2 and CO. HACA categorized seven air monitoring station into three cluster group of station such as High Concentrated Site (HCS), Moderate Concentrated Site (MCS), and Low Concentrated Site (LCS). Descriptive statistics show the 25th percentile, median, and 75th percentile boxplot and identified the greater (>500 μg/m3) and smaller (<0.05ppm) outliers, and comparing distributions between each air pollutant. The findings from ANN have verified that the R2 and RMSE value (0.7981 and 5.734, respectively) were categorized as a significant value for the future prediction. In contrast, PM10 levels in Air Pollutant Index equal to 43.59 were 67.91 ug/m3, O3 (0.038 ppm), NO2 (0.019 ppm), and then CO (1.27 ppm) concentration values. This proved that the PM10 concentration was categorized as a main contributor to the air pollutant measurement of statistical method compared with other pollutants. Universiti Teknologi Malaysia 2015-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45413/1/Spatial_Analysis_of_the_certain_air_pollutants.pdf Mohammad, Azizi Amran and Azid, Azman and Juahir, Hafizan and Toriman, Mohd Ekhwan and Mustafa, Ahmad Dasuki and Che Hasnam, Che Noraini and Azaman, Fazureen and Kamarudin, Mohd Khairul Amri and Mohd Saudi, Ahmad Shakir and Yunus, Kamaruzzaman (2015) Spatial analysis of the certain air pollutants using environmetric techniques. Jurnal Teknologi, 75 (1). pp. 241-249. ISSN 0127–9696 (P), 2180–3722 (O)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TD172 Environmental pollution
spellingShingle	TD172 Environmental pollution Mohammad, Azizi Amran Azid, Azman Juahir, Hafizan Toriman, Mohd Ekhwan Mustafa, Ahmad Dasuki Che Hasnam, Che Noraini Azaman, Fazureen Kamarudin, Mohd Khairul Amri Mohd Saudi, Ahmad Shakir Yunus, Kamaruzzaman Spatial analysis of the certain air pollutants using environmetric techniques
description	This study aims to identify the spatial variation of air pollutant and its pattern in the northern part of Peninsular Malaysia for four years monitoring observation (2008-2011) based on the seven air monitoring stations. Air pollutant variables that used in this study were Nitrogen Dioxide (NO2), Ozone (O3), Carbon Monoxide (CO), and Particulate Matter (PM10) data and had been supplied by Department Of Environment Malaysia (DOE). ANOVA, environmetric techniques (HACA and Descriptive Analysis) and Artificial Neural Network (ANN) approach were used in data analysed. According to ANOVA single test, significance p-value of PM10 (p= 2.5E-268) is smaller than significance alpha level (p=0.05) and it suitable parameter for further analysis in construct the prevention actions compared to O3, NO2 and CO. HACA categorized seven air monitoring station into three cluster group of station such as High Concentrated Site (HCS), Moderate Concentrated Site (MCS), and Low Concentrated Site (LCS). Descriptive statistics show the 25th percentile, median, and 75th percentile boxplot and identified the greater (>500 μg/m3) and smaller (<0.05ppm) outliers, and comparing distributions between each air pollutant. The findings from ANN have verified that the R2 and RMSE value (0.7981 and 5.734, respectively) were categorized as a significant value for the future prediction. In contrast, PM10 levels in Air Pollutant Index equal to 43.59 were 67.91 ug/m3, O3 (0.038 ppm), NO2 (0.019 ppm), and then CO (1.27 ppm) concentration values. This proved that the PM10 concentration was categorized as a main contributor to the air pollutant measurement of statistical method compared with other pollutants.
format	Article
author	Mohammad, Azizi Amran Azid, Azman Juahir, Hafizan Toriman, Mohd Ekhwan Mustafa, Ahmad Dasuki Che Hasnam, Che Noraini Azaman, Fazureen Kamarudin, Mohd Khairul Amri Mohd Saudi, Ahmad Shakir Yunus, Kamaruzzaman
author_facet	Mohammad, Azizi Amran Azid, Azman Juahir, Hafizan Toriman, Mohd Ekhwan Mustafa, Ahmad Dasuki Che Hasnam, Che Noraini Azaman, Fazureen Kamarudin, Mohd Khairul Amri Mohd Saudi, Ahmad Shakir Yunus, Kamaruzzaman
author_sort	Mohammad, Azizi Amran
title	Spatial analysis of the certain air pollutants using environmetric techniques
title_short	Spatial analysis of the certain air pollutants using environmetric techniques
title_full	Spatial analysis of the certain air pollutants using environmetric techniques
title_fullStr	Spatial analysis of the certain air pollutants using environmetric techniques
title_full_unstemmed	Spatial analysis of the certain air pollutants using environmetric techniques
title_sort	spatial analysis of the certain air pollutants using environmetric techniques
publisher	Universiti Teknologi Malaysia
publishDate	2015
url	http://irep.iium.edu.my/45413/ http://irep.iium.edu.my/45413/1/Spatial_Analysis_of_the_certain_air_pollutants.pdf
first_indexed	2023-09-18T21:04:38Z
last_indexed	2023-09-18T21:04:38Z
_version_	1777410850980626432

Spatial analysis of the certain air pollutants using environmetric techniques

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