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논문 기본 정보

자료유형
학술저널
저자정보
김동준 (대구가톨릭대학교 보건안전학과) 민기홍 (대구가톨릭대학교 보건안전학과) 신지훈 (대구가톨릭대학교) 최영태 (대구가톨릭대학교) 최길용 (안양대학교) 심상효 (한양여자대학교) 양원호 (대구가톨릭대학교)
저널정보
한국환경보건학회 한국환경보건학회지 한국환경보건학회지 제50권 제1호
발행연도
2024.2
수록면
16 - 24 (9page)

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초록· 키워드

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Background: Indoor PM2.5 concentrations in residential houses can be affected by various factors depending on the season. This is because not only do the climate characteristics depend on the season, but the activity patterns of occupants are also different. Objectives: The purpose of this study is to compare factors affecting indoor PM2.5 concentrations in apartments and detached houses in Daegu according to seasonal changes. Methods: This study included 20 households in Daegu, South Korea. The study was conducted during the summer (from July 10 to August 10, 2023) and the autumn (from September 11 to October 9, 2023). A sensor- based instrument for PM2.5 levels was installed in the living room of each residence, and measurements were taken continuously for 24 hours at intervals of one minute during the measurement period. Based on the air quality monitoring system data in Daegu, outdoor PM2.5 concentrations were estimated using ordinary kriging (OK) in Python. In addition, the indoor activities of the occupants were investigated using a time- activity pattern diary. The affecting factors of indoor PM2.5 concentration were analyzed using multiple regression analysis. Results: Indoor and outdoor PM2.5 concentrations of the residences during summer were 15.27±11.09 µg/m3 and 11.52±7.56 µg/m3, respectively. Indoor and outdoor PM2.5 concentrations during autumn were 13.82±9.61 µg/m 3 and 9.57±5.50 µg/m3, respectively. The PM2.5 concentrations were higher in summer compared to autumn both indoors and outdoors. The primary factor affecting indoor PM2.5 concentration in summer was occupant activity. On the other hand, during the autumn season, the primary affecting factor was outdoor PM 2.5 concentration. Conclusions: Indoor PM2.5 concentration in residential houses is affected by occupant activity such as the inf low of outdoor PM2.5 concentration, cooking, and cleaning, as found in previous studies. However, it was revealed that there were differences depending on the season.

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