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Multivariate Analysis between Air Pollutants and Meteorological Variables in Seoul

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Abstract:

Multivariate analysis was conducted to analyze the relationship between air pollutants and meteorological variables measured in Seoul from January 1 to December 31, 1999. The first principal component showed the contrast effect between O3 and the other pollutants. The second principal component showed the contrast effect between CO, SO2, NO2, and O3, PM10, TSP. Based on the cluster analysis, three clusters represented different air pollution levels, seasonal characteristics of air pollutants, and meteorological conditions. Discriminant analysis with Air Environment Index (AEI) was carried out to develop an air pollution index function.

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Periodical:

Key Engineering Materials (Volumes 277-279)

Pages:

492-496

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.277-279.492

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Online since:

January 2005

Authors:

Jae Hee Kim, Ji Won Lim

Keywords:

Air Pollutants, Cluster Analysis, Discriminant Analysis, Meteorological Variables, Principal Component Analysis (PCA)

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© 2005 Trans Tech Publications Ltd. All Rights Reserved

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References

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