Computational Fluid Dynamics Simulation of Air Exhaust Dispersion from Negative Isolation Wards of Hospitals

doi:10.1080/19942060.2011.11015370

機構典藏 > College of Engineering > Graduate Institute & Department of Civil Engineering > Journal Article > Item 987654321/78515

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/78515

Title:	Computational Fluid Dynamics Simulation of Air Exhaust Dispersion from Negative Isolation Wards of Hospitals
Authors:	Chang, Cheng-hsin;Chan, Chang-chuan;Cheng, Kuang-jung;Lin, Jin-shian
Contributors:	淡江大學土木工程學系
Keywords:	severe acute respiratory syndrome (SARS);pollutant dispersion model;computational fluid dynamics
Date:	2011-06-01
Issue Date:	2012-10-09 09:28:56 (UTC+8)
Publisher:	Kowloon: Hong Kong Polytechnic University
Abstract:	Severe acute respiratory syndrome, or SARS, swept over the world in 2003, with 8,096 probable cases and 774 fatalities in 26 countries. Not immune to the outbreak, Taiwan accounted for 346 probable cases and 37 deaths. Exhaust air in negative isolation wards of SARS hospital is discharged through air shafts, extending directly to the roof; the shaft passes through the filter box and connects with a 5m chimney air shaft, where the exhaust is discharged into the atmosphere. The exhaust air has been tested to prove as safe to the public before exiting to the free air. However, to lower the sense of fear in the public, a dispersion model is requested by the Centers of Disease Control in Taiwan. The dispersion model can be an important reference if the filter system does not work properly. A CFD code is applied to calculate the non-dimensional concentration exhausting air from negative isolation wards. The predicting value of both the maximum concentration and the mean concentration is smaller than 0.01. The objective of this investigation is to simulate the atmospheric transport of plume gases discharged from negative isolation wards, with the aim to serve as future reference when admitting patients with SARS, N1H1, or other flu viruses, determining where high-risk areas are, and to control the public's activities.
Relation:	Engineering Applications of Computational Fluid Mechanics 5(2), pp.276-285
DOI:	10.1080/19942060.2011.11015370
Appears in Collections:	[Graduate Institute & Department of Civil Engineering] Journal Article

Files in This Item:

File	Description	Size	Format
Computational Fluid Dynamics Simulation of Air Exhaust Dispersion from Negative Isolation Wards of Hospitals.pdf		1243Kb	Adobe PDF	1	View/Open
index.html		0Kb	HTML	27	View/Open

Loading...