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3-D dispersion model for simulation of accidental toxic gas releases in a metropolitan area
- Source :
- Journal of Loss Prevention in the Process Industries. 69:104337
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Computational fluid dynamic (CFD) simulations were performed to assess the potential chlorine leak scenario in the super-urban area of South Korea, where the human population density is very high and numerous buildings exist near operational water treatment facilities. Flame acceleration simulator (FLACS) was used to predict the consequence from accidental chlorine releases out of one of the water treatment facilities for the nearby area having a size of 5 km × 3 km approximately. The ability to precisely implement 3-D geometries is crucial for a successful 3-D simulation. Thus, a method was proposed to rapidly and accurately implement geometry by importing computer aided-design (CAD) files provided by a government agency, and processing them using Auto CAD and MicroStation software programs. An accidental release from an 18-ton tank was simulated with three different wind directions to determine the expected evacuation distances. Results from the study showed that the endpoint distances varied depending on the density and arrangement of the buildings. Moreover, we employed physical barriers with varying heights for mitigating the effects of toxic gas releases and simulated how effectively they decreased the concentration of released chlorine.
- Subjects :
- Leak
business.industry
General Chemical Engineering
05 social sciences
Energy Engineering and Power Technology
02 engineering and technology
Management Science and Operations Research
Computational fluid dynamics
Wind direction
Toxic gas
Metropolitan area
Industrial and Manufacturing Engineering
Acceleration
020401 chemical engineering
Physical Barrier
Control and Systems Engineering
0502 economics and business
Environmental science
050207 economics
0204 chemical engineering
Safety, Risk, Reliability and Quality
business
Dispersion (water waves)
Food Science
Marine engineering
Subjects
Details
- ISSN :
- 09504230
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- Journal of Loss Prevention in the Process Industries
- Accession number :
- edsair.doi...........5e7fc1481233f98f987fef5f242ee7c9
- Full Text :
- https://doi.org/10.1016/j.jlp.2020.104337