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호남권 대기측정소간 다중상관관계를 이용한 지역별 대기오염성분 특성 연구

Characteristics of Atmospheric Compounds based on RegionalMulticorrelation Analysis in Honam Area

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초록

Particulate Matter (PM) in the atmosphere has serious impacts on human health and the global environmental systems. To reduce anthropogenic PM emissions is of importance to protect public health. In this study, the variation of concentrations in PM2.5, NO2, and O3 of Honam region over the past 6 years (2016-2021) was investigated. A statistical approach (i.e., hierarchical cluster analysis) was performed to present their spatial relationships. As a result, the high concentration of PM2.5 in Iksan-si was found in sources of primary pollutants emitted from industrial complexes and ammonia from large-scale livestock complexes. The high concentration periods of PM2.5 with lower concentrations of NO2 and O3 can be seasonal and secondary PM product contributions. In addition, the concentration of O3 in Buan-gun and Wanju-gun with lower PM levels can be the effect of emission of volatile organic compounds (VOCS) from sources. It is necessary to strengthen management for reducing emissions by sources and to establish a policy to control precursors of the atmospheric contaminants.

Abstract

Particulate Matter (PM) in the atmosphere has serious impacts on human health and the global environmental systems. To reduce anthropogenic PM emissions is of importance to protect public health. In this study, the variation of concentrations in PM2.5, NO2, and O3 of Honam region over the past 6 years (2016-2021) was investigated. A statistical approach (i.e., hierarchical cluster analysis) was performed to present their spatial relationships. As a result, the high concentration of PM2.5 in Iksan-si was found in sources of primary pollutants emitted from industrial complexes and ammonia from large-scale livestock complexes. The high concentration periods of PM2.5 with lower concentrations of NO2 and O3 can be seasonal and secondary PM product contributions. In addition, the concentration of O3 in Buan-gun and Wanju-gun with lower PM levels can be the effect of emission of volatile organic compounds (VOCS) from sources. It is necessary to strengthen management for reducing emissions by sources and to establish a policy to control precursors of the atmospheric contaminants.

참고문헌 (21)

  1. 김동술, "우리나라 대기오염 역사, 규제의 변천, 현행 규제제도의 개선방안", 한국대기환경학회지, 29(4), pp.353~368 (2013), 한국대기환경학회[DOI]
  2. A. -L. Balogun, "A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science", Urban Climate, 40, pp.100989~ (2021)
  3. M. Qin, "PM2.5 and O3 relationships affected by atmospheric oxidizing capacity in the Yangtze River Delta, China", Science of the Total Environment, 810, pp.152268~ (2022)
  4. A. J. Cohen, "Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution : an analysis of data from the Global Burden of Diseases Study 2015", THE LANCET, 389, pp.1907~1918 (2017)
  5. 2019 WORLD AIR QUALITY REPORT, "IQAir", ~, pp.Report V8 (2020)
  6. "환경부 국가미세먼지정보센터" (2022)[URL]
  7. 미세먼지 계절관리제 국민인식 조사, "홍종호", 문화체육관광, ~ (2021)
  8. 여민주, "우리나라 미세먼지 농도 추이와 고농도 발생 현황", 한국대기환경학회지, 35(2), pp.249~264 (2019), 한국대기환경학회[DOI]
  9. K. Li, "Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China", Proceedings of the National Academy of Sciences, 116(2), pp.422~427 (2013)
  10. J. Zeng, "Relationships between chemical elements of PM2.5 and O3 in Shanghai atmosphere based on the 1-year monitoring observation", Journal of Environmental Sciences, 95, pp.49~57 (2020)
  11. 김득수, "광양만권 오존 발생특성 연구 - 군집분석 중심으로 -", 한국대기환경학회지, 38(2), pp.188~202 (2022), 한국대기환경학회[DOI]
  12. D. Yu, "An explicit study of local ozone budget and NOX-VOCS sensitivity in Shenzhen China", Atmospheric Environment, 224, pp.1117304~ (2020)
  13. 이하경, "2017년 서울시 O3과 PM2.5의 계절별 상관분석 연구", 한국대기환경학회지, 36(4), pp.533~542 (2020), 한국대기환경학회[DOI]
  14. "에어코리아" (2022)[URL]
  15. 미세먼지에 대한 국민 인식조사-미세먼지로 인 한 경제적 비용 연간 4조 원으로 추정, "민지원", 현대경제 연구원, 833~ (2019)
  16. Byun Han Geul, "A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea", 예방의학회지, 54(5), pp.301~308 (2021), 대한예방의학회[DOI]
  17. "서울특별시 대기 환경정보" (2022)[URL]
  18. 2020년도 전라북도 대기질 평가 보고서, "유재연", 전라북도보건환경연구원, ~ (2020)
  19. 남기표, "동아시아 지역의 계절별 기상패턴에 따른 우리나라 PM2.5 농도 및 기여도 특성 분석:2015년 집중측정 기간을 중심으로", 환경영향평가, 28(3), pp.183~200 (2019), 한국환경영향평가학회
  20. 배민석, "서울시 대기 측정소간 상관관계를 감안한 측정소의 운용 방향 개선을 위한 제언", 한국대기환경학회지, 29(4), pp.447~458 (2013), 한국대기환경학회[DOI]
  21. "전라북도 미세먼지 관리 종합계획 및 중부권 대기환경 개선 기본계획에 따른 전라북도 시행계획", ~ (2021)

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