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

Woo, Sang-Hee; Kim, Jong Bum; Hwang, Moon Se; Tahk, Gil Hun; Yoon, Hwa Hyun; Kwon, Soon-Bark; Park, Duckshin; Yook, Se-Jin

doi:10.1007/s10661-018-7110-8

Cited by 5 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present study in Nanning provided specific data to indicate that not like the effects of seasonal concentration variation of atmospheric particle, atmospheric particle concentration in a day does not seem to influence the temporal fluctuation of concentration of station significantly. There is a variation when comparing current results with those of other city subway systems [45]. This may due to the heterogeneity of subway system in each city, such as the differences in design of the stations, the system age, the passenger density, the ventilation systems, and other factors.…”

Section: Pm Concentrations In Different Sites Of Stationmentioning

confidence: 94%

Spatio-Temporal Distribution of Particulate Matter (PM10 and PM2.5) Concentrations in Urban Subway Station – A Case of Nanning in China

Wu¹,

Chi²,

Zhu³

2022

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Particulate matter is one of the primary air pollutants in urban subway stations. Characteristics of particulate matter concentration is specific due to the heterogeneity of subway system in each city. The spatio-temporal distribution of particulate matter (PM 10 and PM 2.5 ) concentrations in a typical urban subway station of Nanning city was analyzed. PM 10 and PM 2.5 concentrations of winter were both significantly higher than those of spring, summer and autumn (P<0.001). PM 10 and PM 2.5 concentrations of station were significantly higher than those of the ground control (P<0.001). PM 10 and PM 2.5 concentrations of ticket office were significantly higher than those of platform, security checkpoint and passageway (P<0.001). PM 10 and PM 2.5 levels of station during the rush hour were significantly higher than those during the non-rush hour (P<0.001). There is a positive correlation between PM (PM 10 and PM 2.5 ) levels and passenger flow of station. The results indicated that the spatio-temporal distribution of PM (PM 10 and PM 2.5 ) level may be ascribed to seasonal factor, passenger flow, and layout structure of station respectively. The findings of this study therefore make them possible to be the part of preliminary foundation of subway-related standards improvement for airborne particulate matter in the future.

show abstract

Section: Pm Concentrations In Different Sites Of Stationmentioning

confidence: 94%

Spatio-Temporal Distribution of Particulate Matter (PM10 and PM2.5) Concentrations in Urban Subway Station – A Case of Nanning in China

Wu¹,

Chi²,

Zhu³

2022

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…Influenced by the local environment and the ground environment, the concentration of subway PM in some areas is higher in autumn and winter when the ground air pollution is more serious, and the microbial content in subway stations is significantly increased in the local florescence [32]. In addition, train operating age [17], brake type [13], and environmental control system [18,47] will also directly or indirectly affect the concentration of PM.…”

Section: Driving Factors Of Subway Particulate Matter (Pms) Variationsmentioning

confidence: 99%

“…The highest concentration of PM is found on the underground platform and the lowest concentration in the ground train compartment due to the combined action of adverse factors [10][11][12][13]. In terms of time, the variation of PM concentration is related to trains frequency [11,14], seasons [15], and so on [16], as well as other matters which directly or indirectly affect the PM concentration such as the train running age [17], brake types [13], and environmental control systems [18].…”

Section: Introductionmentioning

confidence: 99%

Current Status, Challenges and Resilient Response to Air Pollution in Urban Subway

Zhang

Zhao

Zhao³

et al. 2019

Atmosphere

View full text Add to dashboard Cite

Subway air pollution mainly refers to inhalable particulate matter (PM) pollution, organic pollution, and microbial pollution. Based on the investigation and calculation of the existing researches, this paper summarizes the sources of air pollutants, chemical compositions, and driving factors of PM variations in subway. It evaluates the toxicity and health risks of pollutants. In this paper, the problems and challenges during the deployment of air pollution governance are discussed. Results show that the global PM compliance rate of subway is about 30%. Subway air pollution is endogenous, which means that pollutants mainly come from mechanical wear and building materials erosions. Particles are mainly metal particles, black carbon, and floating dust. The health risks of some chemical elements in the subway have reached critical levels. The variations of PM concentrations show spatial-temporal characteristics, which are mainly controlled by train age, brakes types, and environmental control systems. The authors then analyze the dynamics of interactions among government, companies and public during the air pollution governance by adding the following questions: (a) who pays the bill; (b) how to evaluate the cost-effectiveness of policies; (c) how the public moves from risk perception to actions; (d) how to develop clean air technology better so as to ultimately incentivize stakeholders and to facilitate the implementation of subway clean air programme in a resilient mode.

show abstract

Analyzing particulate matter characteristics of the subway system: Case study of Guangzhou

Jin,

Sharifi,

et al. 2024

Case Studies in Chemical and Environmental Engineering

View full text Add to dashboard Cite

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

Cited by 5 publications

References 42 publications

Spatio-Temporal Distribution of Particulate Matter (PM<sub>10</sub> and PM<sub>2.5</sub>) Concentrations in Urban Subway Station – A Case of Nanning in China

Spatio-Temporal Distribution of Particulate Matter (PM<sub>10</sub> and PM<sub>2.5</sub>) Concentrations in Urban Subway Station – A Case of Nanning in China

Current Status, Challenges and Resilient Response to Air Pollution in Urban Subway

Analyzing particulate matter characteristics of the subway system: Case study of Guangzhou

Contact Info

Product

Resources

About