DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS

Particulate matter is a dominant air pollutant in Malaysia and it is a major emission that has caused many respiratory problems. In this study, the influence of trace gases and meteorological parameters with particulate matter that has an aerodynamic diameter of less than 10 �m (PM10) were investiga...

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Main Authors: Mansor A.A., Abdullah S., Napi N.N.L.M., Ahmed A.N., Ismail M.
Other Authors: 57211858557
Format: Article
Published: Universiti Malaysia Terengganu 2023
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spelling my.uniten.dspace-269402023-05-29T17:38:00Z DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS Mansor A.A. Abdullah S. Napi N.N.L.M. Ahmed A.N. Ismail M. 57211858557 56509029800 57702029500 57214837520 57210403363 Particulate matter is a dominant air pollutant in Malaysia and it is a major emission that has caused many respiratory problems. In this study, the influence of trace gases and meteorological parameters with particulate matter that has an aerodynamic diameter of less than 10 �m (PM10) were investigated. Simple linear regression was used to analyse the strength of trace gases and meteorological parameters with PM10, while the Principal Component Analysis (PCA) was used to determine the sources of air pollution. The average concentration of PM10 for a year (January 2010 to December 2010) in Pasir Gudang was 56.567 �g/m3,which exceeded the New Ambient Air Quality Standards and international guidelines. The highest mean daily was recorded at 9 a.m (LT) (63.644 pg/ m3), while the lowest was at 11 p.m. (LT) (31.44 �g/m3) (12-60 �g/m3). PM10 concentrations are significantly correlated with SO2 (R2=0.0302, p<0.01), CH4 (R2=0.0817, p<0.01), RH (R2= 0.0581, p<0.01), NOx (R2=0.11218, p<0.01) and NO (R2=04.0786, p<0.01). The major sources of PM10 are traffic combustion at 35.505%, followed by meteorological factors at 28.972% and traces gases from industry, such as SO2 and NOx, at 11.009%. � 2022 Penerbit UMT. All Rights Reserved. Final 2023-05-29T09:38:00Z 2023-05-29T09:38:00Z 2022 Article 10.46754/jssm.2022.03.011 2-s2.0-85130427902 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130427902&doi=10.46754%2fjssm.2022.03.011&partnerID=40&md5=32f69e45f5cefa4eecd94ec55bc17246 https://irepository.uniten.edu.my/handle/123456789/26940 17 3 132 144 All Open Access, Bronze Universiti Malaysia Terengganu Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Particulate matter is a dominant air pollutant in Malaysia and it is a major emission that has caused many respiratory problems. In this study, the influence of trace gases and meteorological parameters with particulate matter that has an aerodynamic diameter of less than 10 �m (PM10) were investigated. Simple linear regression was used to analyse the strength of trace gases and meteorological parameters with PM10, while the Principal Component Analysis (PCA) was used to determine the sources of air pollution. The average concentration of PM10 for a year (January 2010 to December 2010) in Pasir Gudang was 56.567 �g/m3,which exceeded the New Ambient Air Quality Standards and international guidelines. The highest mean daily was recorded at 9 a.m (LT) (63.644 pg/ m3), while the lowest was at 11 p.m. (LT) (31.44 �g/m3) (12-60 �g/m3). PM10 concentrations are significantly correlated with SO2 (R2=0.0302, p<0.01), CH4 (R2=0.0817, p<0.01), RH (R2= 0.0581, p<0.01), NOx (R2=0.11218, p<0.01) and NO (R2=04.0786, p<0.01). The major sources of PM10 are traffic combustion at 35.505%, followed by meteorological factors at 28.972% and traces gases from industry, such as SO2 and NOx, at 11.009%. � 2022 Penerbit UMT. All Rights Reserved.
author2 57211858557
author_facet 57211858557
Mansor A.A.
Abdullah S.
Napi N.N.L.M.
Ahmed A.N.
Ismail M.
format Article
author Mansor A.A.
Abdullah S.
Napi N.N.L.M.
Ahmed A.N.
Ismail M.
spellingShingle Mansor A.A.
Abdullah S.
Napi N.N.L.M.
Ahmed A.N.
Ismail M.
DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
author_sort Mansor A.A.
title DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
title_short DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
title_full DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
title_fullStr DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
title_full_unstemmed DIURNAL TREND OF PARTICULATE MATTER CONCENTRATION AT INDUSTRIAL AREA USING MULTIVARIATE ANALYSIS
title_sort diurnal trend of particulate matter concentration at industrial area using multivariate analysis
publisher Universiti Malaysia Terengganu
publishDate 2023
_version_ 1806426252317294592