Source Identification and Estimation of Source Apportionment for Ambient PM10 in Seoul, Korea
In this study, particle composition data for PM10 samples were collected every 3 days at Seoul, Korea from August 2006 to November 2007, and were analyzed to provide source identification and apportionment. A total of 164 samples were collected and 21 species (15 inorganic species, 4 ionic species,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2014-09-01
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| Series: | Asian Journal of Atmospheric Environment |
| Subjects: | |
| Online Access: | http://asianjae.org/_common/do.php?a=full&b=11&bidx=1556&aidx=19681 |
| Summary: | In this study, particle composition data for PM10 samples were collected every 3 days at Seoul, Korea from August 2006 to November 2007, and were analyzed to provide source identification and apportionment. A total of 164 samples were collected and 21 species (15 inorganic species, 4 ionic species, OC, and EC) were analyzed by particle-induced x-ray emission, ion chromatography, and thermal optical transmittance methods. Positive matrix factorization (PMF) was used to develop source profiles and to estimate their mass contributions. The PMF modeling identified nine sources and the average mass was apportioned to secondary nitrate (9.3%), motor vehicle (16.6%), road salt (5.8%), industry (4.9%), airborne soil (17.2 %), aged sea salt (6.2%), field burning (6.0%), secondary sulfate (16.2%), and road dust (17.7%), respectively. The nonparametric regression (NPR) analysis was used to help identify local source in the vicinity of the sampling area. These results suggest the possible strategy to maintain and manage the ambient air quality of Seoul. |
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| ISSN: | 1976-6912 2287-1160 |