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Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed

The smaller particles that dominate the particle number concentration (PNC) in the ambient air only contribute to a small percentage of particulate matter (PM) mass concentration although present in high particle number concentration. These small particles may be neglected upon assessing the health...

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Main Authors: Dahari, Nadhira, Muda, Khalida, Latif, Mohd. Talib, Dominick, Doreena, Hussein, Norelyza, Khan, Md. Firoz
Format: Article
Published: Springer Science and Business Media B.V. 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/103733/
http://dx.doi.org/10.1007/s10653-021-01099-3
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spelling my.utm.1037332023-11-23T08:47:38Z http://eprints.utm.my/103733/ Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed Dahari, Nadhira Muda, Khalida Latif, Mohd. Talib Dominick, Doreena Hussein, Norelyza Khan, Md. Firoz TA Engineering (General). Civil engineering (General) The smaller particles that dominate the particle number concentration (PNC) in the ambient air only contribute to a small percentage of particulate matter (PM) mass concentration although present in high particle number concentration. These small particles may be neglected upon assessing the health impacts of the PM. Hence, the knowledge on the particle number concentration size distribution deserves greater attention than the particulate mass concentration. This study investigates the measurement of the particle mass concentrations (PM2.5) and PNC of 0.27 µm < Dp < 4.50 µm during the southwest (SW), inter-monsoon (IM) and northeast (NE) monsoons in the industrial-residential airshed of Skudai, Johor Bahru, Malaysia. The PM2.5 mass concentrations and PNC were measured using a multi-channel GRIMM Environmental Dust Monitor (GRIMM EDM-SVC 365) equipped with a global positioning system. Diurnal variations, statistical analysis and regression plots were utilised from a six-month hourly data set to examine the patterns of the PNC size distributions and its relationships with the PM2.5 mass concentration. The overall mean PM2.5 mass concentration was 21.85 µg m-3, with the 24 h mean values of 26.80 µg m-3, 26.08 µg m-3 and 13.76 µg m-3 for the SW, IM and NE monsoons, respectively. It was found that the hourly mean of PNC was recorded at the highest concentration during the SW monsoon (373.20 # cm-3). The particles in the accumulation mode (Dp < 1.0 µm) were the prevalent form of the particle number concentration (94–98%). The scatter plots between the PM2.5 mass concentration and particle number size distribution showed that the PNC mode of 0.27 < Dp < 1.0 µm has the highest correlation value of r2 = 0.87 due to the emission from the anthropogenic activities. The results of this study highlight the importance of the PNC measurement in the seasonal variations of the PM2.5 pollution, indicating the significance of the regional-scale emission control actions in the local air quality management. Springer Science and Business Media B.V. 2022 Article PeerReviewed Dahari, Nadhira and Muda, Khalida and Latif, Mohd. Talib and Dominick, Doreena and Hussein, Norelyza and Khan, Md. Firoz (2022) Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed. Environmental Geochemistry and Health, 44 (10). pp. 3377-3393. ISSN 0269-4042 http://dx.doi.org/10.1007/s10653-021-01099-3 DOI : 10.1007/s10653-021-01099-3
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
Latif, Mohd. Talib
Dominick, Doreena
Hussein, Norelyza
Khan, Md. Firoz
Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
description The smaller particles that dominate the particle number concentration (PNC) in the ambient air only contribute to a small percentage of particulate matter (PM) mass concentration although present in high particle number concentration. These small particles may be neglected upon assessing the health impacts of the PM. Hence, the knowledge on the particle number concentration size distribution deserves greater attention than the particulate mass concentration. This study investigates the measurement of the particle mass concentrations (PM2.5) and PNC of 0.27 µm < Dp < 4.50 µm during the southwest (SW), inter-monsoon (IM) and northeast (NE) monsoons in the industrial-residential airshed of Skudai, Johor Bahru, Malaysia. The PM2.5 mass concentrations and PNC were measured using a multi-channel GRIMM Environmental Dust Monitor (GRIMM EDM-SVC 365) equipped with a global positioning system. Diurnal variations, statistical analysis and regression plots were utilised from a six-month hourly data set to examine the patterns of the PNC size distributions and its relationships with the PM2.5 mass concentration. The overall mean PM2.5 mass concentration was 21.85 µg m-3, with the 24 h mean values of 26.80 µg m-3, 26.08 µg m-3 and 13.76 µg m-3 for the SW, IM and NE monsoons, respectively. It was found that the hourly mean of PNC was recorded at the highest concentration during the SW monsoon (373.20 # cm-3). The particles in the accumulation mode (Dp < 1.0 µm) were the prevalent form of the particle number concentration (94–98%). The scatter plots between the PM2.5 mass concentration and particle number size distribution showed that the PNC mode of 0.27 < Dp < 1.0 µm has the highest correlation value of r2 = 0.87 due to the emission from the anthropogenic activities. The results of this study highlight the importance of the PNC measurement in the seasonal variations of the PM2.5 pollution, indicating the significance of the regional-scale emission control actions in the local air quality management.
format Article
author Dahari, Nadhira
Muda, Khalida
Latif, Mohd. Talib
Dominick, Doreena
Hussein, Norelyza
Khan, Md. Firoz
author_facet Dahari, Nadhira
Muda, Khalida
Latif, Mohd. Talib
Dominick, Doreena
Hussein, Norelyza
Khan, Md. Firoz
author_sort Dahari, Nadhira
title Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
title_short Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
title_full Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
title_fullStr Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
title_full_unstemmed Seasonal variations of particle number concentration and its relationship with PM2.5 mass concentration in industrial-residential airshed
title_sort seasonal variations of particle number concentration and its relationship with pm2.5 mass concentration in industrial-residential airshed
publisher Springer Science and Business Media B.V.
publishDate 2022
url http://eprints.utm.my/103733/
http://dx.doi.org/10.1007/s10653-021-01099-3
_version_ 1783876407832608768
score 13.211869

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