Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2016 (2016), Article ID 1865614, 10 pages
http://dx.doi.org/10.1155/2016/1865614
Research Article

Air Pollution Monitoring and Control System for Subway Stations Using Environmental Sensors

1Department of Electrical and Computer Engineering, The University of Seoul, Seoul 130-743, Republic of Korea
2Research Division for Industry & Environment, Korea Atomic Energy Research Institute, Jeongeup 580-185, Republic of Korea
3Department of Mechanical Engineering, Konkuk University, Seoul 143-701, Republic of Korea
4Department of Chemical Engineering, Konkuk University, Seoul 143-701, Republic of Korea
5Department of Environmental Engineering, Konkuk University, Seoul 143-701, Republic of Korea
6Seoul Metropolitan Rapid Transit Co. Ltd., Seoul 133-851, Republic of Korea

Received 17 May 2016; Accepted 27 June 2016

Academic Editor: José P. Santos

Copyright © 2016 Gyu-Sik Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The metropolitan city of Seoul uses more energy than any other area in South Korea due to its high population density. It also has high emissions of air pollutants. Since an individual usually spends most of his/her working hours indoors, the ambient air quality refers to indoor air quality. In particular, PM10 concentration in the underground areas should be monitored to preserve the health of commuters in the subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation measure several air pollutants regularly. In this study, the accuracy of an instrument for PM measurement using the light scattering method was improved with the help of a linear regression analysis technique to continuously measure the concentrations in subway stations. In addition, an air quality monitoring system based on environmental sensors was implemented to display and record the data of PM10, CO2, temperature, and humidity. Through experimental studies, we found that ventilation fans could improve air quality and decrease PM10 concentrations in the tunnels effectively by increasing the air flow rate.