한국입자에어로졸학회지 (Particle and aerosol research)

  • 제14권4호
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  • Pages.135-144
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  • 2018
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  • 1738-8716(pISSN)
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  • 2287-8130(eISSN)
한국입자에어로졸학회 (Korean Association for Particle and Aerosol Research)
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안면도에서의 초미세먼지 유기성분 주요 영향원 평가

Estimation of the major sources for organic aerosols at the Anmyeon Island GAW station

  • 한상희 (이화여자대학교 환경공학과) ;
  • 이지이 (이화여자대학교 환경공학과) ;
  • 이종식 (조선대학교 신재생에너지융합과) ;
  • 허종배 (서울대학교 환경보건학과) ;
  • 정창훈 (경인여자대학교 건강관리학과) ;
  • 김은실 (기상청 지구대기감시센터) ;
  • 김용표 (이화여자대학교 화학신소재공학과)
  • Han, Sanghee (Department of Environmental Science and Engineering, Ewha Womans University) ;
  • Lee, Ji Yi (Department of Environmental Science and Engineering, Ewha Womans University) ;
  • Lee, Jongsik (Department of Renewable Energy Convergence, Chosun University) ;
  • Heo, Jongbae (Department of Environmental Health, Seoul National University) ;
  • Jung, Chang Hoon (Department of Health Management, Kyungin Women's College) ;
  • Kim, Eun-Sill (Korea Global Atmosphere Watch Center, Korea Meteorological Administration) ;
  • Kim, Yong Pyo (Department of Chemical Engineering & Materials Science, Ewha Womans University)
  • 투고 : 2018.11.06
  • 심사 : 2018.12.22
  • 발행 : 2018.12.31
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초록

PMF 수용모델을 사용하여 안면도 측정소에서 2년간 측정한 초미세먼지의 유기성분의 주요 영향원을 파악하였다. 5개 또는 6개의 요인이 최적으로 나타났으며, 6개의 요인이 결과를 더 잘 해석하는 것으로 판단되었다. 이들 요인의 계절별 특성과 영향도 변화를 고려하여 결정한 주요 오염원은 이차유기성분(10.3%), 연소(12.0%), 자연적 생물성 기원(24.8%) 장거리이동식생소각(7.3%), 국지적 생체소각(26.4%), 장거리이동 오염원(19.2%)이다. 안면도 측정소는 배경지역의 특성인 자연적 생물성 기원, 이차유기성분과 장거리이동 오염원의 영향도가 크게 나타나면서도, 비도심의 특성인 국지적 식생소각과 연소 영향도 나타나고 있다. 이는 안면도 측정소에서는 인위적인 영향에 의한 유기성분 특성은 제한적임을 보여준다.

Based on a two-year measurement data, major sources for the ambient carbonaceous aerosols at the Anmyeon Global Atmosphere Watch (GAW) station were identified by using the Positive Matrix Factorization (PMF) model. The particulate matter less than or equal to $2.5{\mu}m$ in aerodynamic diameter (PM2.5) aerosols were sampled between June 2015 to May 2017 and carbonaceous species including ~80 organic compounds were analyzed. When the number of factors was 5 or 6, the performance evaluation parameters showed the best results, With 6 factor case, the characteristics of transported factors were clearer. The 6 factors were identified with various analyses including chemical characteristics and air parcel movement analysis. The 6 factors with their relative contributions were (1) anthropogenic Secondary Organic Aerosols (SOA) (10.3%), (2) biogenic sources (24.8%), (3) local biomass burning (26.4%), (4) transported biomass burning (7.3%), (5) combustion related sources (12.0%), and (6) transported sources (19.2%). The air parcel movement analysis result and seasonal variation of the contribution of these factors also supported the identification of these factors. Thus, the Anmyeon Island GAW station has been affected by both regional and local sources for the carbonaceous aerosols.

키워드

KKOSBF_2018_v14n4_135_f0001.png 이미지

FIg. 1. Source profiles of each factor for 6 factor case.

KKOSBF_2018_v14n4_135_f0002.png 이미지

Fig. 3. Backward trajectory analysis result for the days of top 10% of Transported BB factor.

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Fig. 2. Variation of the relative contribution of each factor for 6 factor case.

Table 1. Analyzed carbonaceous species and organic compounds. The compounds with shade are not used for the modeling.

KKOSBF_2018_v14n4_135_t0001.png 이미지

Table 2. Input data for the PMF modeling study.

KKOSBF_2018_v14n4_135_t0002.png 이미지

Table 3. The value of parameters (IM, IS, DISP(%dQ), and BS) to decide the optimal number of factors.

KKOSBF_2018_v14n4_135_t0003.png 이미지

Table 4. Identified factors and their characteristics for 5 factor case.

KKOSBF_2018_v14n4_135_t0004.png 이미지

Table 5. Identified factors and their characteristics for 6 factor case.

KKOSBF_2018_v14n4_135_t0005.png 이미지

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