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Statements

Subject Item
n2:RIV%2F61989100%3A27230%2F13%3A86086224%21RIV15-MV0-27230___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://dx.doi.org/10.2495/SAFE130681
dcterms:description
Major accident prevention and preparedness involve the determination of a toxic substance expected or actual release dispersion in the atmosphere, i.e., mathematical modeling of liquid mechanics phenomena. Nowadays, statistical mathematical models are usually used to model simulations of emergency situations in facilities in urban areas or in industrial complexes. Numerical CFD codes have been used mostly for specialized and detailed spatial analyses of physical and chemical phenomena and situations in enclosed spaces. With increasing computing power, these models are beginning to be applied also to complex problems in open spaces, including chemical accidents. Statistical and dynamic models give different results as the principles of the two methods, and the quantity and types of input parameters are different. The article directly compares the results of simulations of accidental gaseous ammonia releases from an ice arena into a complex urban area, obtained from ALOHA 5.4.3 statistical model and ANSYS Fluent 13.0 numerical CFD model. Real meteorological data were used for the simulations. It emerged that the results of statistical and CFD models may differ radically. The CFD model provided better quality data for addressing accidents. Thanks to the accuracy and comprehensiveness of CFD models, increasing computing performance, and thus reduced time necessary to perform CFD analysis calculations, this approach is increasingly popular in technical and environmental problem solving, although statistical models are still widely used in land-use planning and general emergency preparedness. Major accident prevention and preparedness involve the determination of a toxic substance expected or actual release dispersion in the atmosphere, i.e., mathematical modeling of liquid mechanics phenomena. Nowadays, statistical mathematical models are usually used to model simulations of emergency situations in facilities in urban areas or in industrial complexes. Numerical CFD codes have been used mostly for specialized and detailed spatial analyses of physical and chemical phenomena and situations in enclosed spaces. With increasing computing power, these models are beginning to be applied also to complex problems in open spaces, including chemical accidents. Statistical and dynamic models give different results as the principles of the two methods, and the quantity and types of input parameters are different. The article directly compares the results of simulations of accidental gaseous ammonia releases from an ice arena into a complex urban area, obtained from ALOHA 5.4.3 statistical model and ANSYS Fluent 13.0 numerical CFD model. Real meteorological data were used for the simulations. It emerged that the results of statistical and CFD models may differ radically. The CFD model provided better quality data for addressing accidents. Thanks to the accuracy and comprehensiveness of CFD models, increasing computing performance, and thus reduced time necessary to perform CFD analysis calculations, this approach is increasingly popular in technical and environmental problem solving, although statistical models are still widely used in land-use planning and general emergency preparedness.
dcterms:title
Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach
skos:prefLabel
Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach Mathematical simulation of ammonia gas release in a complex urban terrain using CFD and a statistical approach
skos:notation
RIV/61989100:27230/13:86086224!RIV15-MV0-27230___
n3:aktivita
n19:P
n3:aktivity
P(VG20112013069)
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
n7:9747567 n7:9337075
n3:druhVysledku
n21:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
86602
n3:idVysledku
RIV/61989100:27230/13:86086224
n3:jazykVysledku
n23:eng
n3:klicovaSlova
dispersion modeling; ammonia; CFD; ANSYS Fluent 13.0; ALOHA 5.4.3
n3:klicoveSlovo
n4:CFD n4:ammonia n4:dispersion%20modeling n4:ANSYS%20Fluent%2013.0 n4:ALOHA%205.4.3
n3:kontrolniKodProRIV
[7CD474DD3087]
n3:mistoKonaniAkce
Řím
n3:mistoVydani
Southampton
n3:nazevZdroje
Safety and security engineering V
n3:obor
n17:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
5
n3:projekt
n14:VG20112013069
n3:rokUplatneniVysledku
n6:2013
n3:tvurceVysledku
Zavila, Ondřej Kozubková, Milada Bojko, Marian Maléřová, Lenka Danihelka, Pavel
n3:typAkce
n11:WRD
n3:zahajeniAkce
2013-09-17+02:00
s:issn
1743-3509
s:numberOfPages
12
n16:doi
10.2495/SAFE130681
n20:hasPublisher
WIT Press
n9:isbn
978-1-84564-745-2
n15:organizacniJednotka
27230