Journal of Environmental Health Sciences (한국환경보건학회지)

Korean Society of Environmental Health (한국환경보건학회)
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Assessing the Health Benefits of PM2.5 Reduction Using AirQ+ and BenMAP

AirQ+와 BenMAP을 이용한 초미세먼지 개선의 건강편익 산정

  • Sun-Yeong Gan (Division of Environmental Health, Korea Environment Institute) ;
  • Hyun-Joo Bae (Division of Environmental Health, Korea Environment Institute)
  • 간순영 (한국환경연구원 환경보건연구실) ;
  • 배현주 (한국환경연구원 환경보건연구실)
  • Received : 2023.01.10
  • Accepted : 2023.02.23
  • Published : 2023.02.28
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Abstract

Background: Among various pollutants, fine particle (PM2.5, defined as particle less than 2.5 nm in aerodynamic diameter) shows the most consistent association with adverse health effects. There is scientific evidence documenting a variety of adverse health outcomes due to exposure to PM2.5. Objectives: This study aims to assess the health benefits of that would be achieved by meeting the World Health Organization's air quality guidelines for PM2.5 using AirQ+ and BenMAP. Methods: We estimated PM2.5 related health benefits in Korea from implementing the World Health Organization's air quality guidelines (annual average 5 ㎍/m3 and 10 ㎍/m3) and Korea's National Ambient Air Quality Standard (annual average 15 ㎍/m3). We used World Health Organization's AirQ+ and U.S. Environmental Protection Agency's Environmental Benefits Mapping and Analysis Program. Results: The annual number of avoided PM2.5 related premature deaths exceeding WHO guideline levels was assessed using both AirQ+ and BenMAP. We estimated that the health benefits of attaining the World Health Organization's air quality guidelines for PM2.5 (annual average 5 ㎍/m3) would suggest an annual reduction of 26,128 (95% confidence interval [CI]: 17,363~34,024) and 26,853 (95% CI: 18,527~34,944) premature deaths. Conclusions: Our study provided useful information to policy makers and confirms that the reduction of PM2.5 concentration would result in significant health benefits in Korea.

Keywords

Acknowledgement

본 논문은 환경부 국고보조금 사업의 지원을 받아 한국환경연구원이 수행한 「환경보건정보(빅데이터) 분야 환경보건센터(2022-018)」사업의 연구결과로 작성되었습니다.

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