Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas

This study aims to determine the concentrations of the trace metals (TM) and water soluble inorganic ions (WSII) of the PM2.5 pollutant collected in the suburban industrial-residential airshed during the southwest (SW), inter-monsoon (IM) and northeast (NE) monsoons in Skudai, Johor Bahru. The PM2.5...

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Main Authors: Dahari, Nadhira, Muda, Khalida, Khan, Md. Firoz, Latif, Mohd. Talib, Hussein, Norelyza, Dominick, Doreena
Format: Article
Published: Springer Science and Business Media B.V. 2022
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Online Access:http://eprints.utm.my/103986/
http://dx.doi.org/10.1007/s12403-021-00425-5
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spelling my.utm.1039862024-01-09T00:42:42Z http://eprints.utm.my/103986/ Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas Dahari, Nadhira Muda, Khalida Khan, Md. Firoz Latif, Mohd. Talib Hussein, Norelyza Dominick, Doreena TA Engineering (General). Civil engineering (General) This study aims to determine the concentrations of the trace metals (TM) and water soluble inorganic ions (WSII) of the PM2.5 pollutant collected in the suburban industrial-residential airshed during the southwest (SW), inter-monsoon (IM) and northeast (NE) monsoons in Skudai, Johor Bahru. The PM2.5 samples were collected using the MiniVol™ portable air sampler equipped with filter paper. The TM and WSII of PM2.5 were determined by using the inductively coupled plasma-mass spectrometry (ICP-MS) and ion chromatography (IC), respectively. The sources of the PM2.5 composition were determined using the Positive Matrix factorisation (PMF) and the origin of the measured air-masses were determined by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT). The results show that the major TM identified were Fe > Ba > Zn > Mg > Al. Meanwhile for the WSII, the major contributor was the secondary inorganic aerosols (SIA), NO3-, SO42- and NH4+. The six predominant sources identified were (1) mineral dust pollution (4.2%), (2) source of mixed road dust and biomass burning (18.1%), (3) mixed secondary inorganic aerosol and road dust emission (18.1%), (4) emission of the non-combustion traffic source (25.4%), (5) industrial emission (18.1%) and (6) undefined (16.1%). Springer Science and Business Media B.V. 2022 Article PeerReviewed Dahari, Nadhira and Muda, Khalida and Khan, Md. Firoz and Latif, Mohd. Talib and Hussein, Norelyza and Dominick, Doreena (2022) Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas. Exposure and Health, 14 (1). pp. 149-170. ISSN 2451-9766 http://dx.doi.org/10.1007/s12403-021-00425-5 DOI : 10.1007/s12403-021-00425-5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Dahari, Nadhira
Muda, Khalida
Khan, Md. Firoz
Latif, Mohd. Talib
Hussein, Norelyza
Dominick, Doreena
Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
description This study aims to determine the concentrations of the trace metals (TM) and water soluble inorganic ions (WSII) of the PM2.5 pollutant collected in the suburban industrial-residential airshed during the southwest (SW), inter-monsoon (IM) and northeast (NE) monsoons in Skudai, Johor Bahru. The PM2.5 samples were collected using the MiniVol™ portable air sampler equipped with filter paper. The TM and WSII of PM2.5 were determined by using the inductively coupled plasma-mass spectrometry (ICP-MS) and ion chromatography (IC), respectively. The sources of the PM2.5 composition were determined using the Positive Matrix factorisation (PMF) and the origin of the measured air-masses were determined by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT). The results show that the major TM identified were Fe > Ba > Zn > Mg > Al. Meanwhile for the WSII, the major contributor was the secondary inorganic aerosols (SIA), NO3-, SO42- and NH4+. The six predominant sources identified were (1) mineral dust pollution (4.2%), (2) source of mixed road dust and biomass burning (18.1%), (3) mixed secondary inorganic aerosol and road dust emission (18.1%), (4) emission of the non-combustion traffic source (25.4%), (5) industrial emission (18.1%) and (6) undefined (16.1%).
format Article
author Dahari, Nadhira
Muda, Khalida
Khan, Md. Firoz
Latif, Mohd. Talib
Hussein, Norelyza
Dominick, Doreena
author_facet Dahari, Nadhira
Muda, Khalida
Khan, Md. Firoz
Latif, Mohd. Talib
Hussein, Norelyza
Dominick, Doreena
author_sort Dahari, Nadhira
title Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
title_short Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
title_full Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
title_fullStr Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
title_full_unstemmed Chemical characterization and source apportionment of PM2.5 near semi-urban residential-industrial areas
title_sort chemical characterization and source apportionment of pm2.5 near semi-urban residential-industrial areas
publisher Springer Science and Business Media B.V.
publishDate 2022
url http://eprints.utm.my/103986/
http://dx.doi.org/10.1007/s12403-021-00425-5
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score 13.187197