4.8 Article Proceedings Paper

Characteristics of PM10, PM2.5, CO2 and CO monitored in interiors and platforms of subway train in Seoul, Korea

期刊

ENVIRONMENT INTERNATIONAL
卷 34, 期 5, 页码 629-634

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2007.12.007

关键词

PM10; PM2.5; fine particulate; subway; inside train; platforrn

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This study was performed to investigate the concentration of PM10 and PM2.5 inside trains and platforms on subway lines 1, 2, 4 and 5 in Seoul, KOREA. PM10, PM2.5, carbon dioxide (CO2) and carbon monoxide (CO) were monitored using real-time monitoring instruments in the afternoons (between 13:00 and 16:00). The concentrations of PM10 and PM2.5 inside trains were significantly higher than those measured on platforms and in ambient air reported by the Korea Ministry of Environment (Korea MOE). This study found that PM10 levels inside subway lines 1, 2 and 4 exceeded the Korea indoor air quality (Korea IAQ) standard of 150 mu g/m(3). The average percentage that exceeded the PM10 standard was 83.3% on line 1, 37.9% on line 2 and 63.1% on line 4, respectively. PM2.5 concentration ranged from 77.7 mu g/m(3) to 158.2 mu g/m(3), which were found to be much higher than the ambient air PM2.5 standard promulgated by United States Environmental Protection Agency (US-EPA) (24 h arithmetic mean: 65 mu g/m(3)). The reason for interior PM10 and PM2.5 being higher than those on platforms is due to subway trains in Korea not having mechanical ventilation systems to supply fresh air inside the train. This assumption was supported by the CO2 concentration results monitored in tube of subway that ranged from 1153 ppm to 3377 ppm. The percentage of PM2.5 in PM10 was 86.2% on platforms, 81.7% inside trains, 80.2% underground and 90.2% at ground track. These results indicated that fine particles (PM2.5) accounted for most of PM10 and polluted subway air. GLM statistical analysis indicated that two factors related to monitoring locations (underground and ground or inside trains and on platforms) significantly influence PM10 (p < 0.001, R-2 = 0.230) and PM2.5 concentrations (p<0.001, R-2=0.172). Correlation analysis indicated that PM10, PM2.5, CO2 and CO were significantly correlated at p<0.01 although correlation coefficients were different. The highest coefficient was 0.884 for the relationship between PM10 and PM2.5. (C) 2008 Elsevier Ltd. All rights reserved.

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