Literature DB >> 18262270

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

Dong-Uk Park1, Kwon-Chul Ha.   

Abstract

This study was performed to investigate the concentration of PM(10) and PM(2.5) inside trains and platforms on subway lines 1, 2, 4 and 5 in Seoul, KOREA. PM(10), PM(2.5), carbon dioxide (CO(2)) and carbon monoxide (CO) were monitored using real-time monitoring instruments in the afternoons (between 13:00 and 16:00). The concentrations of PM(10) and PM(2.5) 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 PM(10) levels inside subway lines 1, 2 and 4 exceeded the Korea indoor air quality (Korea IAQ) standard of 150 microg/m(3). The average percentage that exceeded the PM(10) standard was 83.3% on line 1, 37.9% on line 2 and 63.1% on line 4, respectively. PM(2.5) concentration ranged from 77.7 microg/m(3) to 158.2 microg/m(3), which were found to be much higher than the ambient air PM(2.5) standard promulgated by United States Environmental Protection Agency (US-EPA) (24 h arithmetic mean: 65 microg/m(3)). The reason for interior PM(10) and PM(2.5) 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 CO(2) concentration results monitored in tube of subway that ranged from 1153 ppm to 3377 ppm. The percentage of PM(2.5) in PM(10) was 86.2% on platforms, 81.7% inside trains, 80.2% underground and 90.2% at ground track. These results indicated that fine particles (PM(2.5)) accounted for most of PM(10) 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 PM(10) (p<0.001, R(2)=0.230) and PM(2.5) concentrations (p<0.001, R(2)=0.172). Correlation analysis indicated that PM(10), PM(2.5), CO(2) and CO were significantly correlated at p<0.01 although correlation coefficients were different. The highest coefficient was 0.884 for the relationship between PM(10) and PM(2.5).

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18262270     DOI: 10.1016/j.envint.2007.12.007

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  12 in total

1.  Size-dependent characteristics of diurnal particle concentration variation in an underground subway tunnel.

Authors:  Sang-Hee Woo; Jong Bum Kim; Gwi-Nam Bae; Moon Se Hwang; Gil Hun Tahk; Hwa Hyun Yoon; Soon-Bark Kwon; Duckshin Park; Se-Jin Yook
Journal:  Environ Monit Assess       Date:  2018-11-21       Impact factor: 2.513

2.  Concentration and characterization of airborne particles in Tehran's subway system.

Authors:  Hosein Kamani; Mohammad Hoseini; Mahdi Seyedsalehi; Yousef Mahdavi; Jalil Jaafari; Gholam Hosein Safari
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-27       Impact factor: 4.223

3.  Characteristics of PM2.5, CO2 and particle-number concentration in mass transit railway carriages in Hong Kong.

Authors:  Hai-Long Zheng; Wen-Jing Deng; Yan Cheng; Wei Guo
Journal:  Environ Geochem Health       Date:  2016-06-20       Impact factor: 4.609

4.  Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model.

Authors:  Man-Suk Oh; Chee Kyung Park
Journal:  J Appl Stat       Date:  2020-09-22       Impact factor: 1.416

5.  Public Health Issue of Indoor Dilution Ventilation for Disease Prevention Versus PM2.5 in Intake Air in Auditoriums of Premier Engineering Institutes in India.

Authors:  Raja Singh
Journal:  Cureus       Date:  2022-05-23

6.  Airborne particulate matter in public transport: a field study at major intersection points in Frankfurt am Main (Germany).

Authors:  Alexander Gerber; Julia Bohn; David A Groneberg; Johannes Schulze; Matthias Bundschuh
Journal:  J Occup Med Toxicol       Date:  2014-04-09       Impact factor: 2.646

Review 7.  Health effects of particulate matter air pollution in underground railway systems - a critical review of the evidence.

Authors:  Matthew Loxham; Mark J Nieuwenhuijsen
Journal:  Part Fibre Toxicol       Date:  2019-03-06       Impact factor: 9.400

8.  Characterization of Urban Subway Microenvironment Exposure- A Case of Nanjing in China.

Authors:  Peng Mao; Jie Li; Lilin Xiong; Rubing Wang; Xiang Wang; Yongtao Tan; Hongyang Li
Journal:  Int J Environ Res Public Health       Date:  2019-02-20       Impact factor: 3.390

9.  Impacts of earthquake aftermath on indoor carbon monoxide levels in Turkish coffeehouses environment in duzce, Turkey.

Authors:  T Bahcebasi; C Guler; H Kandis; I H Kara
Journal:  Iran J Public Health       Date:  2012-01-31       Impact factor: 1.429

10.  Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM10) in Subway Tunnels.

Authors:  Jun Ho Jo; ByungWan Jo; Jung Hoon Kim; Ian Choi
Journal:  Int J Environ Res Public Health       Date:  2020-07-28       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.