Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Indoor Air Quality Index for School Classrooms Based on Health Effects

학교 교실 공기질 관리를 위한 건강영향 기반 실내공기질지수 개발

  • Kim, Do Yun (Department of Applied Environmental Science, Kyung Hee University) ;
  • Kwon, Ji You (Department of Applied Environmental Science, Kyung Hee University) ;
  • Lee, Tae Jung (Department of Applied Environmental Science, Kyung Hee University) ;
  • Park, Young Koo (Department of Earth and Environmental Engineering, Kangwon National University) ;
  • Jo, Young Min (Department of Applied Environmental Science, Kyung Hee University)
  • 김도윤 (경희대학교 환경응용과학과) ;
  • 권지유 (경희대학교 환경응용과학과) ;
  • 이태정 (경희대학교 환경응용과학과) ;
  • 박영구 (강원대학교 지구환경시스템공학과) ;
  • 조영민 (경희대학교 환경응용과학과)
  • Received : 2021.11.08
  • Accepted : 2021.12.03
  • Published : 2021.12.31
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Abstract

An indoor air quality index for school classrooms based on the Hazard Quotient (HQ) was developed in this study. The current index (IAQI-S) covered PM10, PM2.5, and CO2, and breakpoints of IAQI-S were calculated using each HQ value. IAQI-S was applied to the real-time data obtained from 123 classrooms of 46 schools during November 2017 to December 2020. As a result of the comprehensive assessment, 93.1% of PM10 and 94% of PM2.5 belonged to 'good' and 'moderate', respectively. The IAQI-S based on an 8-hour predicted moving average was compared with Comprehensive Air-quality Index (CAI) and with the IAQI of a foreign reference. The IAQI-S includes CO2 and consists of more stringent levels comparing to outdoor index (CAI).

어린 학생들에 대한 HQ (Hazard Quotient) 기반으로 학교교실 실내 공기질 지수 (IAQI-S)를 개발하였다. IAQI-S는 PM10, PM2.5, CO2를 포함하며, IAQI-S의 기준농도는 지정된 HQ값을 통해 산출하였다. 본 연구에서 개발한 IAQI-S를 이용하여 2017년 11월부터 2020년 12월까지 실시간으로 측정한 전국 46개 학교 123개 학급을 평가해보았다. 종합지수 평가 결과, PM10의 93.1%, PM2.5의 94%가 '좋음'과 '보통' 등급에 포함되었다. 8시간 예측 이동 평균을 기반으로 한 IAQI-S는 CAI(Comprehensive Air-quality Index) 및 외국에서 발표되었던 IAQI와 비교하였다. IAQI-S는 CO2를 포함하며 대기질지수 (CAI)에 비해 더 엄격한 수준으로 구성되어 있음을 알 수 있었다.

Keywords

Acknowledgement

이 성과는 정부(과학기술정보통신부, 교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019M3E7A1113077).

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