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안산ㆍ시흥 산업단지 지역 PM2.5 중 이온, 탄소, 원소성분의 특성 연구

A Study on the Characteristics of Ion, Carbon, and Elemental Components in PM2.5 at Industrial Complexes in Ansan and Siheung

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초록

Background: The health effects of particulate matter (PM2.5) bonded with various harmful chemicals differ based on their composition, so investigating and managing their concentrations and composition is vital for long-term management. As industrial complexes emit considerable quantities of pollutants, higher PM2.5 concentrations and chemical component effects are expected than in other places. Objectives: We investigated the concentration distribution ratios of PM2.5 chemical components to provide basic data to inform future major emissions control and PM2.5 reduction measures in industrial complexes. Methods: We monitored five sites near the Ansan and Siheung industrial complexes from August 2020 to July 2021. Samples were collected and analyzed twice per week in spring/winter and once per week in summer/ autumn according to the National Institute of Environmental Research in the Ministry of Environments’ Air Pollution Monitoring Network Installation and Operation Guidelines. We investigated and compared composition ratios of 29 ions, carbon, and elemental components in PM2.5. Results: The analysis of PM2.5 components at the five sites revealed that ion components accounted for the greatest total mass at approximately 50% while carbon components and elemental components contributed 23~28% and 8~10%, respectively. Among the ionic components, NO3– occupies the greatest proportion. OC occupies the greatest proportion of the carbon components and sulphur occupies the greatest proportion of elemental components. Conclusions: This study investigated the concentration distribution ratios of PM2.5 chemical components in industrial complexes. We believe these results provide basic chemical component concentration ratio data for establishing future air management policies and plans for the Ansan and Siheung industrial complexes.

Abstract

Background: The health effects of particulate matter (PM2.5) bonded with various harmful chemicals differ based on their composition, so investigating and managing their concentrations and composition is vital for long-term management. As industrial complexes emit considerable quantities of pollutants, higher PM2.5 concentrations and chemical component effects are expected than in other places. Objectives: We investigated the concentration distribution ratios of PM2.5 chemical components to provide basic data to inform future major emissions control and PM2.5 reduction measures in industrial complexes. Methods: We monitored five sites near the Ansan and Siheung industrial complexes from August 2020 to July 2021. Samples were collected and analyzed twice per week in spring/winter and once per week in summer/ autumn according to the National Institute of Environmental Research in the Ministry of Environments’ Air Pollution Monitoring Network Installation and Operation Guidelines. We investigated and compared composition ratios of 29 ions, carbon, and elemental components in PM2.5. Results: The analysis of PM2.5 components at the five sites revealed that ion components accounted for the greatest total mass at approximately 50% while carbon components and elemental components contributed 23~28% and 8~10%, respectively. Among the ionic components, NO3– occupies the greatest proportion. OC occupies the greatest proportion of the carbon components and sulphur occupies the greatest proportion of elemental components. Conclusions: This study investigated the concentration distribution ratios of PM2.5 chemical components in industrial complexes. We believe these results provide basic chemical component concentration ratio data for establishing future air management policies and plans for the Ansan and Siheung industrial complexes.

참고문헌 (35)

  1. 김동준, "서울시 구로구에서 COVID-19 발생 전ㆍ후 초미세먼지(PM2.5) 농도 변화에 따른 인구집단 노출평가", 한국환경보건학회지, 47(6), pp.521~529 (2021), 한국환경보건학회[DOI]
  2. Kim I, "Characteristics and health effects of PM2.5 emissions from various sources in Gwangju, South Korea", Sci Total Environ, 696, pp.133890~ (2019)
  3. 변진여, "춘천시 대기 중 PM2.5 및 금속성분의 장기간 농도 특성", 한국대기환경학회지, 34(3), pp.406~417 (2018), 한국대기환경학회[DOI]
  4. 김수미, "2017년 제주시 대기 중 PM2.5의 화학적 조성과 오염원 추정", 환경분석과 독성보건, 21(2), pp.61~70 (2018), 한국환경분석학회
  5. Wang Y, "Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city", Northwest China. Sci Total Environ, 573, pp.1031~1040 (2016)
  6. Luo Y, "PM2.5 pollution in a petrochemical industry city of northern China: seasonal variation and source apportionment", Atmos Res, 212, pp.285~295 (2018)
  7. 황인조, "경북지역 산업단지의 대기 중 PM2.5의 화학적 특성", 한국대기환경학회지, 35(3), pp.336~345 (2019), 한국대기환경학회[DOI]
  8. 박현우, "화학적 조성과 안정동위원소 비 분석을 이용한 PM 2.5 발생원 추적", 환경분석과 독성보건, 20(4), pp.266~278 (2017), 한국환경분석학회
  9. 김동기, "시흥 · 안산 산단 및 영향지역의 휘발성유기화합물질(VOCs) 분포 특성", 한국환경보건학회지, 46(3), pp.256~266 (2020), 한국환경보건학회[DOI]
  10. 신현준, "선택적다중이온질량분석기를 이용한 시화산업단지 내 화학블록의 악취 및 휘발성유기화합물의 배출특성 연구", 실내환경 및 냄새 학회지, 19(2), pp.177~185 (2020), 한국냄새환경학회[DOI]
  11. 변상훈, "시화산업단지에서 주요 휘발성유기물질의 시간적, 공간적 농도 파악을 위한 능동식과 수동식 시료채취기 비교", 대한환경공학회지, 33(11), pp.790~796 (2011), 대한환경공학회
  12. 임효지, "장기간 (1989~2012) 측정자료를 이용한 용인 - 수원지역에서의 PM10 및 PM2.5의 오염특성 분석(질량농도 중심)", 한국대기환경학회지, 31(3), pp.209~222 (2015), 한국대기환경학회[DOI]
  13. Bae HJ, "Assessing the health effects of PM2.5 constituents for establishing the health risk reduction management plan", Environ Forum, 24(4), pp.2~18 (2020)
  14. 신지혜, "충남지역 배출원별 PM2.5 중 이온, 탄소, 원소성분의 특성 연구", 환경분석과 독성보건, 24(1), pp.26~34 (2021), 한국환경분석학회[DOI]
  15. "Industrial trend statistics table of major national industrial complexes in August 2020"[URL]
  16. "Air pollution monitoring network installation and operation guidelines 2018"[URL]
  17. 여민주, "서울의 초미세먼지 농도 추이", 한국대기환경학회지, 35(4), pp.438~450 (2019), 한국대기환경학회[DOI]
  18. 박정호, "진주시 대기중 PM10 및 PM2.5의 질량농도 특성", 한국환경과학회지, 23(12), pp.1963~1970 (2014), 한국환경과학회[DOI]
  19. Park EH, "Long term trends of chemical constituents and source contributions of PM2.5 in Seoul", Chemosphere, 251, pp.126371~ (2020)
  20. Yu GH, "Chemical characterization and source apportionment of PM2.5 at an urban site in Gwangju, Korea", Atmos Pollut Res, 12(6), pp.101092~ (2021)
  21. 강병욱, "광양산업단지 인근지역 대기 중 미세먼지 (PM2.5)와 산성오염물질 특성", 한국대기환경학회지, 27(1), pp.16~29 (2011), 한국대기환경학회
  22. 박민규, "울산시 미세먼지 입경별 이온 분포와 오염원 추정", 환경분석과 독성보건, 22(1), pp.1~9 (2019), 한국환경분석학회
  23. 고희정, "2013년 고산지역 연무 , 황사 , 연무 -황사혼재 대기 에어로졸의 화학조성 특성", 한국대기환경학회지, 32(3), pp.289~304 (2016), 한국대기환경학회[DOI]
  24. 전병일, "부산지역 봄철 주중", 주말의 PM10 중 이온성분의 화학적 조성, 2015, pp.24(6), 785~792[DOI]
  25. Choi JK, "Source apportionment of PM2.5 at the coastal area in Korea", Sci Total Environ, 447, pp.370~380 (2013)
  26. 문광주, "2010년도 서울시 대기 중 PM_(2.5)의 성분특성 및 발생원 추정에 관한 연구", 한국대기환경학회지, 27(6), pp.711~722 (2011), 한국대기환경학회
  27. Zhang Q, "Evaluation of factors influencing secondary organic carbon (SOC) estimation by CO and EC tracer methods", Sci Total Environ, 686, pp.915~930 (2019)
  28. 임세희, "제주도 고산 PM10, PM2.5, PM1.0 중 OC와 EC의 계절별 변화 특성", 한국대기환경학회지, 26(5), pp.567~580 (2010), 한국대기환경학회
  29. 함지영, "2016년 봄철 서울의 PM10, PM2.5 및 OC와 EC 배출원 기여도 추정", 대기, 27(1), pp.41~54 (2017), 한국기상학회[DOI]
  30. 박승식, "여름 및 겨울철 광주지역 대기 에어로졸 입자의유기탄소 특성", 한국대기환경학회지, 23(6), pp.675~688 (2007), 한국대기환경학회
  31. 정진희, "춘천과 서울에서 측정한 PM2.5 내 탄소성분의 농도 특성에 관한 연구", 한국대기환경학회지, 25(2), pp.141~153 (2009), 한국대기환경학회
  32. Han Y, "PM2.5- bound heavy metals in southwestern China: characterization, sources, and health risks", Atmosphere, 12(7), pp.929~ (2021)
  33. Won SR, "PM2.5 and trace elements in underground shopping districts in the Seoul metropolitan area, Korea", Int J Environ Res Public Health, 18(1), pp.297~ (2021)
  34. Ryou HG, "Source apportionment of PM10 and PM2.5 air pollution, and possible impacts of study characteristics in South Korea", Environ Pollut, 240, pp.963~972 (2018)
  35. Ryou HG, "Source apportionment of PM10 and PM2.5 air pollution, and possible impacts of study characteristics in South Korea", Environ Pollut, 242(Pt B), pp.2135~ (2018)

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