- P-ISSN 1225-0163
- E-ISSN 2288-8985
- P-ISSN1225-0163
- E-ISSN2288-8985
- SCOPUS, ESCI, KCI
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The distribution characteristics of trace elements of fine ambient particulate in Korea
Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2005, v.18 no.3, pp.241-249
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(2005). The distribution characteristics of trace elements of fine ambient particulate in Korea. Analytical Science and Technology, 18(3), 241-249.
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Abstract
In this study, instrumental neutron activation analysis was used to measure the concentrations of about 30 trace elements in airborne particulate (PM2.5) samples at urban area of Daejeon city located in the southwestern region of Korea. An inspection of the measurement data indicates that the distribution patterns of trace elements could clearly distinguish the elements with their concentrations ranging over five orders of magnitude. The mean values for Lu and Dy were found to be the lowest at values of 0.01 and 0.04 ng/m3, while those for K and Fe showed the highest value of 671 and 653 ng/m3, respectively. The results of correlation analysis showed that PM2.5 concentrations can exhibit much more enhanced correlations with the elements of earth crustal components. The results of factor analysis further indicated that there are no more than six factors with statistical significance, which may exert dominant roles in regulating the elemental concentration levels in the study area. Enrichment factor analysis supports explicit interpretation of results found by this factor analysis.
- keywords
- instrumental neutron activation analysis, air pollution, PM2.5, factor analysis, enrichment factor analysis
Reference
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(1999.) Trace Element Determination of Airborne Particles by Neutron Activation Analysis in Elemental Analysis of Airborne Particles,
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(2000.) Reactor Neutron Activation Analysis of Airborne Particulate Matter,
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(1987.) Ellis Horwood Series in Analytical Chemistry, John Wiley and Sons
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(1976.) Neutron Activation Tables Vol.6,
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(1987.) Handbook on Nuclear Activation Analysis Data,
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