Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Hua, Ang Kean, Ang, Kean Hua
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://psasir.upm.edu.my/id/eprint/60472/1/Applied%20chemometric%20approach%20in%20identification%20sources%20of%20air%20quality%20pattern%20in%20Selangor%2C%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/60472/
http://www.ukm.my/jsm/english_journals/vol47num3_2018/contentsVol47num3_2018.html
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.60472
record_format eprints
spelling my.upm.eprints.604722019-08-07T01:43:53Z http://psasir.upm.edu.my/id/eprint/60472/ Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia Hua, Ang Kean 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 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60472/1/Applied%20chemometric%20approach%20in%20identification%20sources%20of%20air%20quality%20pattern%20in%20Selangor%2C%20Malaysia.pdf Hua, Ang Kean and 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/english_journals/vol47num3_2018/contentsVol47num3_2018.html 10.17576/jsm-2018-4703-06
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
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 Hua, Ang Kean
Ang, Kean Hua
spellingShingle Hua, Ang Kean
Ang, Kean Hua
Applied chemometric approach in identification sources of air quality pattern in Selangor, Malaysia
author_facet Hua, Ang Kean
Ang, Kean Hua
author_sort Hua, Ang Kean
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://psasir.upm.edu.my/id/eprint/60472/1/Applied%20chemometric%20approach%20in%20identification%20sources%20of%20air%20quality%20pattern%20in%20Selangor%2C%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/60472/
http://www.ukm.my/jsm/english_journals/vol47num3_2018/contentsVol47num3_2018.html
_version_ 1643837368958976000
score 13.211869

Similar Items