Literature DB >> 26010475

A multivariate study for characterizing particulate matter (PM(10), PM(2.5), and PM(1)) in Seoul metropolitan subway stations, Korea.

Soon-Bark Kwon1, Wootae Jeong1, Duckshin Park1, Ki-Tae Kim2, Kyung Hwa Cho3.   

Abstract

Given that around eight million commuters use the Seoul Metropolitan Subway (SMS) each day, the indoor air quality (IAQ) of its stations has attracted much public attention. We have monitored the concentration of particulate matters (PMx) (i.e., PM10, PM2.5, and PM1) in six major transfer stations per minute for three weeks during the summer, autumn, and winter in 2014 and 2015. The data were analyzed to investigate the relationship between PMx concentration and multivariate environmental factors using statistical methods. The average PM concentration observed was approximately two or three times higher than outdoor PM10 concentration, showing similar temporal patterns at concourses and platforms. This implies that outdoor PM10 is the most significant factor in controlling indoor PM concentration. In addition, the station depth and number of trains passing through stations were found to be additional influences on PMx. Principal component analysis (PCA) and self-organizing map (SOM) were employed, through which we found that the number of trains influences PM concentration in the vicinity of platforms only, and PMx hotspots were determined. This study identifies the external and internal factors affecting PMx characteristics in six SMS stations, which can assist in the development of effective IAQ management plans to improve public health.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Indoor air quality (IAQ); Particulate matter (PM); Principal Component Analysis (PCA); Self-Organizing Map (SOM); Seoul metropolitan subway (SMS)

Mesh:

Substances:

Year:  2015        PMID: 26010475     DOI: 10.1016/j.jhazmat.2015.05.015

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  10 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.  Transient variation of aerosol size distribution in an underground subway station.

Authors:  Soon-Bark Kwon; Hyeong-Gyu Namgung; Wootae Jeong; Duckshin Park; Jin Ki Eom
Journal:  Environ Monit Assess       Date:  2016-05-24       Impact factor: 2.513

3.  Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares.

Authors:  Hongbin Liu; Chong Yang; Mingzhi Huang; ChangKyoo Yoo
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-11       Impact factor: 4.223

4.  Design of a Spark Big Data Framework for PM2.5 Air Pollution Forecasting.

Authors:  Dong-Her Shih; Thi Hien To; Ly Sy Phu Nguyen; Ting-Wei Wu; Wen-Ting You
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

5.  Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits.

Authors:  Shengjing Sun; Xiaochen Zheng; Javier Villalba-Díez; Joaquín Ordieres-Meré
Journal:  Sensors (Basel)       Date:  2019-09-25       Impact factor: 3.576

Review 6.  Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review.

Authors:  Yueming Wen; Jiawei Leng; Xiaobing Shen; Gang Han; Lijun Sun; Fei Yu
Journal:  Int J Environ Res Public Health       Date:  2020-02-08       Impact factor: 3.390

7.  On the airborne transmission of SARS-CoV-2 and relationship with indoor conditions at a hospital.

Authors:  Zeynab Baboli; Niloofar Neisi; Ali Akbar Babaei; Mehdi Ahmadi; Armin Sorooshian; Yaser Tahmasebi Birgani; Gholamreza Goudarzi
Journal:  Atmos Environ (1994)       Date:  2021-06-21       Impact factor: 4.798

8.  Personal exposure measurements of school-children to fine particulate matter (PM2.5) in winter of 2013, Shanghai, China.

Authors:  Lijun Zhang; Changyi Guo; Xiaodong Jia; Huihui Xu; Meizhu Pan; Dong Xu; Xianbiao Shen; Jianghua Zhang; Jianguo Tan; Hailei Qian; Chunyang Dong; Yewen Shi; Xiaodan Zhou; Chen Wu
Journal:  PLoS One       Date:  2018-04-02       Impact factor: 3.240

9.  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

10.  Air change rate effects on the airborne diseases spreading in Underground Metro wagons.

Authors:  Mostafa El-Salamony; Ahmed Moharam; Amr Guaily; Mohammed A Boraey
Journal:  Environ Sci Pollut Res Int       Date:  2021-02-22       Impact factor: 5.190

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.