Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand
© Author(s) 2015. Airborne volatile organic compounds (VOCs) concentration data from monitoring stations in industrial and urban (Bangkok) area of Thailand were analyzed using Positive Matrix Factorization (PMF) to identify and elaborate on their source profiles. Analyzed data were obtained from tho...
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th-mahidol.358842018-11-23T17:10:24Z Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand Neungrothai Saeaw Sarawut Thepanondh Mahidol University Center of Excellence on Environmental Health and Toxicology (EHT) Earth and Planetary Sciences Environmental Science © Author(s) 2015. Airborne volatile organic compounds (VOCs) concentration data from monitoring stations in industrial and urban (Bangkok) area of Thailand were analyzed using Positive Matrix Factorization (PMF) to identify and elaborate on their source profiles. Analyzed data were obtained from those measured from January 2009 to December 2013 in the study area. The PMF was performed to estimate the contribution of specific source types to ambient concentrations. The most suitable number of factors for a dataset in this study was found to be eleven factors for compositions and characteristics of VOCs. Emission sources of VOCs in industrial area were classified into three to five groups based on their contribution. In industrial area, 42 to 57% of total VOC concentrations were contributed from mobile sources. Contribution to total VOCs concentration from industrial processes and household chemical usage were about 15 to 44% and 3 to 10%, respectively. Moreover, some species of VOCs particularly the ozone depleting substances such as Freon 11, Freon 114 and carbon tetrachloride were found as background concentration in ambient air. As for Bangkok, it was found that most of total VOC concentrations were contributed from mobile source emissions. 2018-11-23T10:04:19Z 2018-11-23T10:04:19Z 2015-07-09 Article Atmospheric Pollution Research. Vol.6, No.4 (2015), 644-650 10.5094/APR.2015.073 13091042 2-s2.0-84936749957 https://repository.li.mahidol.ac.th/handle/123456789/35884 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84936749957&origin=inward |
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Earth and Planetary Sciences Environmental Science Neungrothai Saeaw Sarawut Thepanondh Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
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© Author(s) 2015. Airborne volatile organic compounds (VOCs) concentration data from monitoring stations in industrial and urban (Bangkok) area of Thailand were analyzed using Positive Matrix Factorization (PMF) to identify and elaborate on their source profiles. Analyzed data were obtained from those measured from January 2009 to December 2013 in the study area. The PMF was performed to estimate the contribution of specific source types to ambient concentrations. The most suitable number of factors for a dataset in this study was found to be eleven factors for compositions and characteristics of VOCs. Emission sources of VOCs in industrial area were classified into three to five groups based on their contribution. In industrial area, 42 to 57% of total VOC concentrations were contributed from mobile sources. Contribution to total VOCs concentration from industrial processes and household chemical usage were about 15 to 44% and 3 to 10%, respectively. Moreover, some species of VOCs particularly the ozone depleting substances such as Freon 11, Freon 114 and carbon tetrachloride were found as background concentration in ambient air. As for Bangkok, it was found that most of total VOC concentrations were contributed from mobile source emissions. |
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Mahidol University |
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Mahidol University Neungrothai Saeaw Sarawut Thepanondh |
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Neungrothai Saeaw Sarawut Thepanondh |
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Neungrothai Saeaw |
title |
Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
title_short |
Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
title_full |
Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
title_fullStr |
Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
title_full_unstemmed |
Source apportionment analysis of airborne VOCs using positive matrix factorization in industrial and urban areas in Thailand |
title_sort |
source apportionment analysis of airborne vocs using positive matrix factorization in industrial and urban areas in thailand |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/35884 |
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1763488755095699456 |