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Please use this identifier to cite or link to this item: http://hdl.handle.net/10443/3698

Title: Integrated evaluation of air flow and gas dispersion for underground station safety strategies based on subway climatology
Authors: Qian, Zi
Issue Date: 2017
Publisher: Newcastle University
Abstract: Rail underground systems are seen as a way to overcome traffic congestion in city environments. Many new subways are being built in China and developing countries. Recent studies have however shown that the ventilation of subway systems is poorly understood. There is significant danger to life if a fire occurs or toxins such as chemical or biological agents are released in a subway. Understanding the air flow inside a subway and how this is affected by the local environment is key in establishing effective evacuation strategies. A series of tracer gas experiments conducted as part of this research have been carried out. To expand the subway climatology from an experimental framework into a virtual and simulation environment, 3D Computational Fluid Dynamic models have been developed, which include the simulation of local microclimate and air movement inside the station respectively. The station CFD model has allowed the analysis of the air flow inside the station under the prevailing external weather condition. Results show promising links between external climatic factors, the subway climatology and the ability to predict the dispersal of smoke/toxins. The local weather pattern has a large influence on the background airflow inside a station and dominated the flow direction at station exits which is been used to evaluate the efficiency of pedestrian evacuation and also determine the safer evacuation route and exit. The possibilities of integrating these findings will allow for a more holistic safety assessment to be carried out that could reduce the loss of life or mitigate harmful effects on public health. It also fills a knowledge gap in design guidelines from a safety perspective underground station construction and ventilation.
Description: PhD Thesis
URI: http://hdl.handle.net/10443/3698
Appears in Collections:School of Mechanical and Systems Engineering

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Qian, Z. 2017.pdfThesis31.07 MBAdobe PDFView/Open
Qian, Z. Appendix A 2017.pdfThesis Appendix A942.51 kBAdobe PDFView/Open
Qian, Z. Appendix B 2017.pdfThesis Appendix B62.22 MBAdobe PDFView/Open
dspacelicence.pdflicence43.82 kBAdobe PDFView/Open

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