Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia

In recent years, Malaysia has experienced quite a few number of chronic air pollution problems and it has become a major contributor to the deterioration of human health and ecosystems. This study aimed to assess the air quality data and identify the pattern of air pollution sources using chemometri...

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Main Author:	Ang, Kean Hua
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:	http://journalarticle.ukm.my/12028/ http://journalarticle.ukm.my/12028/ http://journalarticle.ukm.my/12028/1/06%20Ang%20Kean%20Hua.pdf

id	ukm-12028
recordtype	eprints
spelling	ukm-120282018-09-09T23:13:37Z http://journalarticle.ukm.my/12028/ Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia Ang, Kean Hua In recent years, Malaysia has experienced quite a few number of chronic air pollution problems and it has become a major contributor to the deterioration of human health and ecosystems. This study aimed to assess the air quality data and identify the pattern of air pollution sources using chemometric analysis through hierarchical cluster analysis (HCA), discriminant analysis (DA), principal component analysis (PCA) and multiple linear regression analysis (MLR). The air quality data from January 2016 until December 2016 was obtained from the Department of Environment Malaysia. Air quality data from eight sampling stations in Selangor include the selected variables of nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO) and particulate matter (PM10). The HCA resulted in three clusters, namely low pollution source (LPS), moderate pollution source (MPS) and slightly high pollution source (SHPS). Meanwhile, DA resulted in two and four variables for the forward stepwise mode and the backward stepwise mode, respectively. Through PCA, it was identified that the main pollutants of LPS, MPS and SHPS came from industrial and vehicle emissions, agricultural systems, residential factors and natural emission sources. Among the three models yielded from the MLR analysis, it was found that SHPS is the most suitable model to be used for the prediction of Air Pollution Index. This study concluded that a clearer review and practical design of air quality monitoring network would be beneficial for better management of air pollution. The study also suggested that chemometric techniques have the ability to show significant information on spatial variability for large and complex air quality data. Penerbit Universiti Kebangsaan Malaysia 2018-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12028/1/06%20Ang%20Kean%20Hua.pdf Ang, Kean Hua (2018) Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia. Sains Malaysiana, 47 (3). pp. 471-479. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid47bil3_2018/KandunganJilid47Bil3_2018.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	In recent years, Malaysia has experienced quite a few number of chronic air pollution problems and it has become a major contributor to the deterioration of human health and ecosystems. This study aimed to assess the air quality data and identify the pattern of air pollution sources using chemometric analysis through hierarchical cluster analysis (HCA), discriminant analysis (DA), principal component analysis (PCA) and multiple linear regression analysis (MLR). The air quality data from January 2016 until December 2016 was obtained from the Department of Environment Malaysia. Air quality data from eight sampling stations in Selangor include the selected variables of nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO) and particulate matter (PM10). The HCA resulted in three clusters, namely low pollution source (LPS), moderate pollution source (MPS) and slightly high pollution source (SHPS). Meanwhile, DA resulted in two and four variables for the forward stepwise mode and the backward stepwise mode, respectively. Through PCA, it was identified that the main pollutants of LPS, MPS and SHPS came from industrial and vehicle emissions, agricultural systems, residential factors and natural emission sources. Among the three models yielded from the MLR analysis, it was found that SHPS is the most suitable model to be used for the prediction of Air Pollution Index. This study concluded that a clearer review and practical design of air quality monitoring network would be beneficial for better management of air pollution. The study also suggested that chemometric techniques have the ability to show significant information on spatial variability for large and complex air quality data.
format	Article
author	Ang, Kean Hua
spellingShingle	Ang, Kean Hua Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
author_facet	Ang, Kean Hua
author_sort	Ang, Kean Hua
title	Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
title_short	Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
title_full	Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
title_fullStr	Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
title_full_unstemmed	Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
title_sort	applied chemometric approach in identification sources of air quality pattern in selangor, malaysia
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2018
url	http://journalarticle.ukm.my/12028/ http://journalarticle.ukm.my/12028/ http://journalarticle.ukm.my/12028/1/06%20Ang%20Kean%20Hua.pdf
first_indexed	2023-09-18T20:01:42Z
last_indexed	2023-09-18T20:01:42Z
_version_	1777406891290263552

Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia

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