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An analysis on the distribution characteristics of PM10 concentration and its relation to the death from Asthma in Seoul, Korea

서울지역 PM10 농도의 분포 특성과 천식 사망자 수의 상관성 분석

  • Park, Jong-Kil (Department of Civil and Environmental Engineering, Atmospheric Environment Information Research Center, Inje University) ;
  • Choi, Yun-Jeong (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University) ;
  • Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University)
  • 박종길 (인제대학교 건설환경공학부/대기환경정보연구센터) ;
  • 최윤정 (인제대학교 대기환경정보공학과/ 대기환경정보연구센터) ;
  • 정우식 (인제대학교 대기환경정보공학과/ 대기환경정보연구센터)
  • Received : 2015.04.07
  • Accepted : 2015.07.02
  • Published : 2015.07.31

Abstract

The production of highly concentrated $PM_{10}$ is in the spotlight as a social issue, and it increases the attack rate of Asthma. This study aimed to analyze the characteristics of concentration and distribution for $PM_{10}$ from 2000 to 2011, and investigate its correlation with the death from Asthma. Furthermore, this study was designed to analyze it by dividing into two cases like including Asian dust and excluding Asian dust because it presented the high concentration when Asian dust was occurred in the spring. This study has found that the annual average concentration distribution of $PM_{10}$ in Seoul was higher in the central area than the peripheral area. The annual average concentration of $PM_{10}$ and death from asthma displayed the tendency to gradually decrease. The correlation coefficient for all period was 0.92(p=0.000), and the correlation was 0.84(p=0.001) in case of remove Asian dust. The monthly average concentration of $PM_{10}$ has increased in the winter and decreased in the summer. The death from Asthma and correlation coefficient for all period was 0.588(p=0.044) and 0.640(p=0.025) in case of removing Asian dust. Although the causes of Asthma had a great diversity, the similar tendency by a factor of $PM_{10}$ meant that the correlation was high.

Keywords

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