Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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Classification of Pollution Patterns in High School Classrooms using Disjoint Principal Component Analysis

분산주성분 분석을 이용한 고등학교교실 내 오염패턴분류에 관한 연구

  • Jang, Choul-Soon (College of Environment & Applied Chemistry and Center for Environmental Studies, Kyung Hee University) ;
  • Lee, Tae-Jung (Industrial Liaison Research Institute, Kyung Hee University) ;
  • Kim, Dong-Sool (College of Environment & Applied Chemistry and Center for Environmental Studies, Kyung Hee University)
  • 장철순 (경희대학교 환경.응용화학대학 대기오염연구실 및 환경연구센터) ;
  • 이태정 (경희대학교 산학협력기술연구원) ;
  • 김동술 (경희대학교 환경.응용화학대학 대기오염연구실 및 환경연구센터)
  • Published : 2006.12.31
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Abstract

In regard to indoor air quality patterns, the government introduced various polices that were about managing and monitoring quality of indoor air as a major assignment, and also executed 'Indoor Air Quality Management Act' which was presented in the May, 2004. However, among the multi-usage facilities controlled by the Act, the school was not included yet. This study goal was to investigate PM 10 pollution patterns of the high school classrooms using a pattern recognition method based on cluster analysis and disjoint principal component analysis, and further to survey levels of inorganic elements in May, June, and September, 2004. A hierarchical clustering method was examined to obtain possible objects in pseudo homogeneous sample classes by transformation raw data and by applying various distance. Following the analysis, the disjoint principal component analysis was used to define homogeneous sample class after deleting outliers. Then three homogeneous Patterns were obtained as follows: the first class had been separated and objects in the class were considered to be sampled under semi-open condition. This class had high concentration of Ca, Fe, Mg, K, Al, and Na which are related with a soil and a chalk compounds. The second class was obtained in which objects were sampled while working air-conditioners and was identified low concentration of PM 10 and elements. Objects in the last class were assigned during rainy day. A chalk, soil element and various types of anthropogenic sources including combustions and industrial influenced the third class. This methodology was thought to be helpful enough to classify indoor air quality patterns and indoor environmental categories when controlling an indoor air quality.

Keywords

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