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http://dx.doi.org/10.5668/JEHS.2020.46.4.444

Development of IAQ Index for Indoor Air Quality in City Buses  

Jeon, Bo-Il (Life & Industry Environmental R&D Center, Pyeongtaek University)
Kwak, Min-Jeong (Department of Data Information and Staistics, Pyeongtaek University)
Kang, Sang-Hyeon (The Environment Technology Institute, Coway Co., Ltd.)
Kim, Jong-Cheol (The Environment Technology Institute, Coway Co., Ltd.)
Yun, Hyun-Jun (The Environment Technology Institute, Coway Co., Ltd.)
Kim, Ho-Hyun (Life & Industry Environmental R&D Center, Pyeongtaek University)
Publication Information
Journal of Environmental Health Sciences / v.46, no.4, 2020 , pp. 444-456 More about this Journal
Abstract
Objectives: This study developed an index for the indoor air quality management of city buses to allow the provision of indoor air quality information to city bus users. Methods: Nine city buses in Seoul were measured for PM10, PM2.5, CO2, temperature, and relative humidity through IoT sensors. Big data collected through the sensors was analyzed to identify indoor air quality on city buses and graded through the index. Results: As a result of dividing the measured city bus data into five grades through the IAQ index, PM10 was rated "good" for 30.4% of the total measured values, and 9.2% were rated "risky". For PM2.5, 67.7 percent were rated "good" and 0.4 percent were rated "risky". For CO2, 0.9% were 'good' and 1.1% were 'risky'. The results of the classification through the IAQ index for city buses showed that the impact of good, normal, sensitive, bad, and dangerous were 2.7, 38.8, 46.0, 12.4, and 0.1%, respectively. According to the analysis by measurement area, Seocho-gu, Gangnam-gu, Seongdong-gu, Gwangjin-gu, and Dobong-gu are "normal" and other areas (Seodaemoon-gu, Jongno-gu, Yongsan-gu, Jung-gu, Seongbuk-gu, Dongdaemun-gu, Junggye-gu, Gangbuk-gu, and Nowon-gu) are all rated "sensitive". Conclusions: When analyzing cases where PM10 and CO2 indices are in the "bad" zone, the concentration is generally found to increase during rush hour, during which there are a large number of passengers. It is expected that indoor air quality management in vehicles will be necessary during rush hour.
Keywords
City bus; health management; index; indoor air quality; IoT sensor;
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Times Cited By KSCI : 3  (Citation Analysis)
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