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3-D dispersion model for simulation of accidental toxic gas releases in a metropolitan area
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Publication Year
2021-03-01
Publisher
Elsevier Ltd
Citation
Journal of Loss Prevention in the Process Industries, Vol.69
Keyword
ChlorineComputational fluid dynamic (CFD)DispersionGeometryHuman fatality ratesPhysical barrierToxic gas
Mesh Keyword
Accidental releaseDispersion modelingFlame acceleration simulatorsGovernment agenciesMetropolitan areaPhysical barriersToxic gas releaseWater treatment facilities
All Science Classification Codes (ASJC)
Control and Systems EngineeringFood ScienceChemical Engineering (all)Safety, Risk, Reliability and QualityEnergy Engineering and Power TechnologyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
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.
ISSN
0950-4230
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31676
DOI
https://doi.org/10.1016/j.jlp.2020.104337
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Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1F1A1063569 ).
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Jung, Seungho  Image
Jung, Seungho 정승호
Department of Environmental and Safety Engineering
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