2003Journal of the Korean Data and Information Science SocietyRequires access

Cluster Analysis with Air Pollutants and Meteorological Factors in Seoul

Jaehee Kim, Ji-Won Lim

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Abstract

Principal component analysis, factor analysis and cluster analysis have been performed to analyze the relationship between air pollutants and meteorological variables measured in 1999 in Seoul. In principal analysis, the first principal has been shown the contrast effect between and the other pollutants, the second principal has been shown the contrast effect between CO, , and , PM10, TSP. In factor analysis, the first factor has been found as PM10, TSP, concentrations which are related with suspended particulates. As a result of cluster analysis, three clusters respectively have represented different air pollution levels, seasonal characteristics of air pollutants and meteorological situations.

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What this paper is about

Principal component analysis, factor analysis and cluster analysis have been performed to analyze the relationship between air pollutants and meteorological variables measured in 1999 in Seoul. In principal analysis, the first principal has been shown the contrast effect between and the other pollutants, the second principal has been shown the contrast effect between CO, , and , PM10, TSP. In factor analysis, the first factor has been found as PM10, TSP, concentrations which are related with suspended particulates. As a result of cluster analysis, three clusters respectively have represented different air pollution levels, seasonal characteristics of air pollutants and meteorological situations.

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Available abstract

Principal component analysis, factor analysis and cluster analysis have been performed to analyze the relationship between air pollutants and meteorological variables measured in 1999 in Seoul. In principal analysis, the first principal has been shown the contrast effect between and the other pollutants, the second principal has been shown the contrast effect between CO, , and , PM10, TSP. In factor analysis, the first factor has been found as PM10, TSP, concentrations which are related with suspended particulates. As a result of cluster analysis, three clusters respectively have represented different air pollution levels, seasonal characteristics of air pollutants and meteorological situations.

Key concepts: Principal component analysis, Pollutant, Cluster (spacecraft), Air pollution, Environmental science, Air pollutants, Particulates, Meteorology

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