| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 02037 | |
| Number of page(s) | 7 | |
| Section | Algorithm Optimization and Application | |
| DOI | https://doi.org/10.1051/itmconf/20224702037 | |
| Published online | 23 June 2022 | |
Experimental study on gas diffusion in subway station
1 Research Institute of Chemical Defence, State Key Laboratory of NBC Protection for Civilian, Beijing, China
2 Tsinghua University, School of Environment, Beijing, China
* Corresponding author: jiayu_tsinghua@163.com
In this paper, three-dimensional ultrasonic anemometer and multi-channel anemometer have been used to monitor the flow field of a subway station in Beijing. Based on releasing sulfur hexafluoride (SF6) in the station hall, the gas transmission and diffusion range have been studied. The results show that under the natural ventilation, the gas diffusion would be controlled by a regular mainstream field. Because of obvious subsidence heavy gas tends to accumulate on the ground. The airflow on the north side of the platform is stable, which may be the main channel for gas diffusion and the gas will not be transmitted downward to the platform. As a result, during emergency response During emergency disposal, it is necessary to set an evacuation path opposite to gas diffusion. Besides, it is forbidden to turn on the top smoke exhaust system to avoid the transmission of pollutant on the ground to the breathing height.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.