Pattern Classification of PM -10 in the Indoor Environment Using Disjoint Principal Component Analysis

분산주성분 분석을 이용한 실내환경 중 PM-10 오염의 패턴분류

  • 남보현 (경희대학교 환경·응용화학부 대기오염연구실 및 환경연구센터) ;
  • 황인조 (경희대학교 환경·응용화학부 대기오염연구실 및 환경연구센터) ;
  • 김동술 (경희대학교 환경·응용화학부 대기오염연구실 및 환경연구센터)
  • Published : 2002.02.01


The purpose of the study was to survey the distribution patterns of inorganic elements of PM-10 in the various indoor environments and analyze the pollution patterns of aerosol in various places of indoor environment using a pattern recognition method based on cluster analysis and disjoint principal component analysis. A total of 40 samples in the indoor had been collected using mini-vol portable samplers. These samples were analyzed for their 19 bulk inorganic compounds such as B, Na, Mg, Al, K, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, and Pb by using an ICP-MS. By applying a disjoint principal component analysis, four patterns of the indoor air pollutions were distinguished. The first pattern was identified as a group with high concentrations of PM-10, Na, Mg, and Ca. The second pattern was identified as a group with high concentrations B, Mg, At, Ca, Fe, Cu, and Ba. The third pattern was a group of sites with high concentrations of K, Zn. Cd. The fourth pattern was a group with low concentrations PM-10 and all inorganic elements. This methodology was found to be helpful enough to set the criteria standard of indoor air quality, corresponding pollutants, and classification of indoor environment categories when making an indoor air quality law.



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