Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia

This study aims to carry out a preliminary assessment for pollutant sources identification using a statistical approach consisting of analysis of variance (ANOVA) and principal component analysis (PCA). Substantially, both statistical methods were applied to assess whether there was a significant di...

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Main Authors: Mohamad, Nur Diyana, Ash’aari, Zulfa Hanan, Othman, Melawani
Format: Article
Language:English
Published: Elsevier 2015
Online Access:http://psasir.upm.edu.my/id/eprint/42983/
http://psasir.upm.edu.my/id/eprint/42983/1/1-s2.0-S1878029615006155-main.pdf
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author Mohamad, Nur Diyana
Ash’aari, Zulfa Hanan
Othman, Melawani
author_facet Mohamad, Nur Diyana
Ash’aari, Zulfa Hanan
Othman, Melawani
author_sort Mohamad, Nur Diyana
building UPM Institutional Repository
collection Online Access
description This study aims to carry out a preliminary assessment for pollutant sources identification using a statistical approach consisting of analysis of variance (ANOVA) and principal component analysis (PCA). Substantially, both statistical methods were applied to assess whether there was a significant difference between sites, and also to identify pollution sources for each monitoring site. Results from PCA reveal that the most significant factor loadings were dominantly covered by nitrogen dioxide (NO2), carbon monoxide (CO) and particulate matter (PM10) emission for most of the sites, followed by other major air pollutant contributors, namely, sulphur dioxide (SO2) and ozone (O3)
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institution Universiti Putra Malaysia
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language English
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publishDate 2015
publisher Elsevier
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spelling upm-429832016-05-03T06:35:35Z http://psasir.upm.edu.my/id/eprint/42983/ Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia Mohamad, Nur Diyana Ash’aari, Zulfa Hanan Othman, Melawani This study aims to carry out a preliminary assessment for pollutant sources identification using a statistical approach consisting of analysis of variance (ANOVA) and principal component analysis (PCA). Substantially, both statistical methods were applied to assess whether there was a significant difference between sites, and also to identify pollution sources for each monitoring site. Results from PCA reveal that the most significant factor loadings were dominantly covered by nitrogen dioxide (NO2), carbon monoxide (CO) and particulate matter (PM10) emission for most of the sites, followed by other major air pollutant contributors, namely, sulphur dioxide (SO2) and ozone (O3) Elsevier 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/42983/1/1-s2.0-S1878029615006155-main.pdf Mohamad, Nur Diyana and Ash’aari, Zulfa Hanan and Othman, Melawani (2015) Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia. Procedia Environmental Sciences, 30. pp. 121-126. ISSN 1878-0296 http://www.sciencedirect.com/science/article/pii/S1878029615006155 10.1016/j.proenv.2015.10.021
spellingShingle Mohamad, Nur Diyana
Ash’aari, Zulfa Hanan
Othman, Melawani
Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title_full Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title_fullStr Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title_full_unstemmed Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title_short Preliminary assessment of air pollutant sources identification at selected monitoring stations in Klang Valley, Malaysia
title_sort preliminary assessment of air pollutant sources identification at selected monitoring stations in klang valley, malaysia
url http://psasir.upm.edu.my/id/eprint/42983/
http://psasir.upm.edu.my/id/eprint/42983/
http://psasir.upm.edu.my/id/eprint/42983/
http://psasir.upm.edu.my/id/eprint/42983/1/1-s2.0-S1878029615006155-main.pdf