본문 바로가기
KERD
논문KCI 등재

영암, 함평지역 대기 중 초미세먼지 발생원 기여도평가

Source Assessment of PM-2.5 in Yeongam and Hampyeong

이보람|최희진|김지윤|문희|주서령|이덕안|유휘선|노형석
한국환경분석학회 (The Korean Society For Environmental Analysis)|2024.06|환경분석과 독성보건 (JOURNAL OF ENVIRONMENTAL ANALYSIS, HEALTH AND TOXICOLOGY)|제27권 제2호|pp. 65-82|DOI https://doi.org/10.36278/jeaht.27.2.65

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

YeongamPMFSource Apportionment ModelCWTHampyeong

초록

Source Assessment of PM-2.5 in Yeongam and Hampyeong Hwi-Sun Yoo, Hee Moon, Bo-Ram Lee, Hee-Jin Choi, Hyeong-Seok Noh, Ji-Yoon Kim,Seo-Ryeong Ju and Duk-An Lee† Jeollanam-do Institute of Health and Environment Research, Muan-gun Samhyang-eup, Jeollanam-do, 58568, Korea Received February 16, 2024 / Revised March 5, 2024 / Accepted April 1, 2024 The Daebul National Industrial Complex in Yeongam emits less VOC, SOX, and NOx precursors of PM-2.5 than Gwangyang Bay. However, Yeongam had the highest PM-2.5 concentrations, at 21 μg/m3, in Jeollanam-do as of 2021. Therefore, evaluating source contributions is necessary. In this study, component analysis was performed for Hampyeong and Yeongam. Based on the results, pollution sources were analyzed using the PMF, CPF, and CWT models. The average PM-2.5 concentration was found to be similar in both regions. In addition, the modeling results revealed that PM-2.5 concentrations in both regions were largely influenced by factors originating from foreign countries. Specifically, the concentrations were presumably largely due to foreign sources, and in the case of Yeongam, secondary nitrates generated domestically also had an influence. Yeongam is a domestic source and was found to be mainly influenced by industrial activities; therefore, it is necessary to manage its emission sources. Because Hampyeong is largely influenced by biological combustion and traffic emissions, managing crop burning and traffic in this town is crucial.

Abstract

Source Assessment of PM-2.5 in Yeongam and Hampyeong Hwi-Sun Yoo, Hee Moon, Bo-Ram Lee, Hee-Jin Choi, Hyeong-Seok Noh, Ji-Yoon Kim,Seo-Ryeong Ju and Duk-An Lee† Jeollanam-do Institute of Health and Environment Research, Muan-gun Samhyang-eup, Jeollanam-do, 58568, Korea Received February 16, 2024 / Revised March 5, 2024 / Accepted April 1, 2024 The Daebul National Industrial Complex in Yeongam emits less VOC, SOX, and NOx precursors of PM-2.5 than Gwangyang Bay. However, Yeongam had the highest PM-2.5 concentrations, at 21 μg/m3, in Jeollanam-do as of 2021. Therefore, evaluating source contributions is necessary. In this study, component analysis was performed for Hampyeong and Yeongam. Based on the results, pollution sources were analyzed using the PMF, CPF, and CWT models. The average PM-2.5 concentration was found to be similar in both regions. In addition, the modeling results revealed that PM-2.5 concentrations in both regions were largely influenced by factors originating from foreign countries. Specifically, the concentrations were presumably largely due to foreign sources, and in the case of Yeongam, secondary nitrates generated domestically also had an influence. Yeongam is a domestic source and was found to be mainly influenced by industrial activities; therefore, it is necessary to manage its emission sources. Because Hampyeong is largely influenced by biological combustion and traffic emissions, managing crop burning and traffic in this town is crucial.

참고문헌 (37)

  1. "International agency for research on cancer" (2013)[URL]
  2. 법제처, "미세먼지 저감 및 관리에 관한 특별법", ~ (2019)
  3. "환경부 국가미세먼지정보센터" (2021)[URL]
  4. H. -Y. Lee, "Characteristics of PM2. 5 Pollution and Long-range Atmospheric Transport in Background Areas(Baengnyeong and Jeju Islands)", Journal of Korean Society for Atmospheric Environment, 38, pp.524~541 (2022)
  5. 환경부, "대기환경측정망 설치·운영지침", 416~434 (2022)
  6. 유일한, "PMF(Positive Matrix Factorization)수용모델 을 활용한 오염원 기여도 분석 고도화 연구", 한국대기환경학회지, 38, pp.493~507 (2022)
  7. C. -S. Liang, "Review on recent progress in observations source identifications and countermeasures of PM2. 5", Environment International, 86, pp.150~170 (2016)
  8. J. W. Heo, "Source apportionment of PM10 at Pyeongtaek area using positive matrix factorization(PMF)model", Journal of Korean Society for Atmospheric Environment, 34(6), pp.849~864 (2018)
  9. B. Liu, "Source apportionment of atmospheric pollutants based on the online data by using PMF and ME2 models at a megacity, China", Atmospheric Research, 185, pp.22~31 (2017)
  10. J. -H. Tan, "Source apportionment of size segregated fine", ultrafine particle by PMF in Beijing, 2014, pp.139, 90~100
  11. 주서령, "충남 서산지역 초미세먼지의 오염원 기여도 평가", pp.2021
  12. 박혜영, "수용모델을 이용한 광양만권 주거지역 대기 중 초미세먼지 발생원 기여도 평가(II)", 환경분석과 독성보건, 25(1), pp.18~32 (2022)
  13. Y. M. Lee, "Source identification of PM2. 5 major elemental components at the harbor industrial area in Busan-Comparison of trace elemental concentrations using two XRFs", Journal of Korean Society for Atmospheric Environment, 36(2), pp.216~227 (2020)
  14. Y. J. Jeong., "Source apportionment of PM2. 5 in Gyeongsan using the PMF model", Journal of Korean Society for Atmospheric Environment, 31(6), pp.2383~5346 (2015)
  15. S. H. Kim, "Source apportionment of PM2. 5 using positive matrix factorization(PMF)at a rural site in Korea", Journal of Environmental Management, 214, pp.325~334 (2018)
  16. C. H. Kim, "Lagrangian particle dispersion modeling intercomparison : Internal versus foreign modeling results on the nuclear spill event", Journal of Korean Society for Atmospheric Environment, 19(3), pp.249~261 (2003)
  17. O. Klemm, "Fog chemistry at the new England coast : Influence of air mass history", Atmospheric Environment, 28(6), pp.1181~1188 (1994)
  18. 이선란, "공기괴 역궤적 모델의 통계 분석을 통한 이산화 탄소 배출지역 추정", 한국기상학회, 24(2), pp.245~251 (2004)
  19. B. W. Kang, "Identification of potential source locations of PM2. 5 in Seoul using hybrid-receptor models", Journal of Korean Society for Atmospheric Environment, 24(6), pp.662~673 (2008)
  20. Y. -K. Hsu, "Comparison of hybrid receptor models to locate PCB sources in Chicago", Atmospheric Environment, 37(4), pp.545~562 (2003)
  21. B. -J. Turpin, "Species contributions to PM2. 5 mass concentrations : Revisiting common assumptions for estimating organic mass", Aerosol Science & Technology, 35(1), pp.602~610 (2001)
  22. W. C. Malm, "Examining the relationship among atmospheric aerosols and light scattering and extinction in the Grand Canyon area", Journal of Geophysical Research : Atmospheres, 101(D14), pp.19251~19265 (1996)
  23. Yu. G. -H., "Pollution characteristics of PM2. 5 observed during winter and summer in Baengryeongdo and Seoul", Journal of Korean Society for Atmospheric Environment, 34(1), pp.38~55 (2018)
  24. 김민경, "부산지역 미세먼지 중 2차 생성 기여도 평가 연구", 부산시보건환경연구원보, 24(1), pp.146~160 (2014)
  25. C. A. Belis, "Critical review and meta-analysis of ambient particulate matter source apportionment using receptor models in Europe", Atmospheric. Environment, 69, pp.94~108 (2013)
  26. S. Szidat, "Fossil and non?fossil sources of organic carbon(OC)and elemental carbon(EC)in G?teborg, Sweden", Atmospheric Chemistry Physics, 9(5), pp.1521~1535 (2009)
  27. B. J. Turpin, "Secondary formation of organic aerosol in the Los Angeles Basin : A descriptive analysis of organic and elemental carbon concentrations", Atmospheric Environment. Part A. General topics, 25(2), pp.207~215 (1991)
  28. J. H. Jung, "A Study on the Characteristics of Carbonaceous Compounds in PM2. 5 Measured in Chuncheon and Seoul", Journal of Korean Society for Atmospheric Environment, 25(2), pp.141~153 (2009)
  29. D. R. Gentner, "Elucidating secondary organic aerosol from diesel and gasoline vehicles through detailed characterization of organic carbon emissions", Environmental sciences, 109(45), pp.18318~18323 (2012)
  30. 산단지역 유해대기오염물질 모니터링 (II), "국립환경과학원", ~ (2016)
  31. 조준호, "서울시 주요도로변 대기 중 니켈, 크 롬, 구리 농도와 차종별 교통량과의 상관관계에 관한 연구", 한국환경위생학회지, 25(3), pp.51~57 (1999)
  32. Y. -J. Jung, "Source apportionment of PM2. 5 in Gyeongsan using the PMF model", Journal of Korean Society for Atmospheric Environment, 31(6), pp.508~519 (2015)
  33. X. Bi, "Composition and major sources of organic compounds in urban aerosols", Atmospheric Research, 88(3-4), pp.256~265 (2008)
  34. J. -H. Kim, "The Characterization of PM, PM10, and PM2. 5 from stationary sources", Journal of Korean Society for Atmospheric Environment, 32(6), pp.603~612 (2016)
  35. T. -J. Lee, "Time series assessment of PM2. 5 source contributions and classification of haze patterns in Seoul", Journal of Korean Society for Atmospheric Environment, 35(1), pp.97~124 (2019)
  36. S. -S. Park, "Chemical characteristics of water soluble components in fine particulate matter at a Gwangju area", Korean Chemical Engineering Research, 48(1), pp.20~26 (2010)
  37. I. S. Kim, "Estimation of the contribution of biomass fuel burning activities in North Korea to the air quality in Seoul, South Korea : Application of the 3D-PSCF method", Atmospheric Research, 230, pp.104628~ (2019)

관련 논문AI추천

수용모델을 이용한 광양만권 주거지역 대기 중 초미세먼지발생원 기여도 평가(II)김익산, 김학림, 박귀환, 박찬오, 박현수, 박혜영, 배민석, 이보람, 임희정, 전두영, 최희진한국환경분석학회 · 환경분석과 독성보건2022 · 제25권 제1호광양만권 대기 중 초미세먼지 원인별 기여율 평가김학림, 박귀환, 박종수, 박찬오, 박현수, 박혜영, 배민석, 오길영, 이보람, 임항선한국환경분석학회 · 환경분석과 독성보건2021 · 제24권 제2호농촌지역 대기 중 PM2.5의 화학적 특성과 오염원 정량 평가이진홍, 임종명, 정진희한국환경영향평가학회 · 환경영향평가2018 · 제27권 제5호충남지역 배출원별 PM2.5 중 이온, 탄소, 원소성분의 특성 연구김영민, 김종숙, 박천웅, 신지혜, 안정준, 유하나, 정금희, 최진하한국환경분석학회 · 환경분석과 독성보건2021 · 제24권 제1호호남권 대기측정소간 다중상관관계를 이용한 지역별 대기오염성분 특성 연구배민석, 오성현, 오세호한국환경분석학회 · 환경분석과 독성보건2022 · 제25권 제3호광주 지역에서 2018년 1월 측정한 초미세먼지의 오염 특성김영성, 박승식, 유근혜, 임용재, 장유운, 정선아, 조미라한국입자에어로졸학회 · PARTICLE AND AEROSOL RESEARCH2019 · 제15권 제3호

이 간행물의 다른 논문 (5건)

GC×GC-TOFMS를 이용한 포항시 대기 중 다환방향족탄화수소의 표적, 추정, 비표적 분석최성득, 홍성진, 이호영, 고민지pp. 49-64시험 · 검사기관의 현장평가 미흡사항 분석- 운영 및 기술분야를 중심으로 -오상민, 이혜리, 김태연, 김지혜, 이수형, 최자윤, 이현국, 박창희, 허유정, 전수아, 고상호, 황종연pp. 83-89LC-MS/MS를 활용한 총 마이크로시스틴 분석 방법: MMPB(2-methyl-3-methoxy-4-phenylbutyric acid) 수질분석을 위한 전처리 과정 평가최재원, 김민정pp. 90-95한강 수계에서의 미세플라스틱의 분포 특성 연구김재우, 문혜미, 박선구, 최예진, 이효영pp. 96-111MC-ICP/MS 이용 수은 안정 동위원소비 측정의 신뢰성 평가박재선, 김지영, 김명진, 김민섭, 최종우, 최서영pp. 112-121
원문 보기