Comparison of CFD and operational dispersion models in an urban-like environment
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| Title: | Comparison of CFD and operational dispersion models in an urban-like environment |
|---|---|
| Authors: | Antonioni, G.1 giacomo.antonioni3@unibo.it, Burkhart, S.2, Burman, J.3, Dejoan, A.4, Fusco, A.5, Gaasbeek, R.6, Gjesdal, T.7, Jäppinen, A.8, Riikonen, K.9, Morra, P.1, Parmhed, O.3, Santiago, J.L.4 |
| Source: | Atmospheric Environment. Feb2012, Vol. 47, p365-372. 8p. |
| Subjects: | Computational fluid dynamics, Dispersion (Chemistry), Chemical plants & the environment, Air quality, Atmospheric transport, Atmospheric models, Performance evaluation, Simulation methods & models |
| Abstract: | Abstract: Chemical plants, refineries, transportation of hazardous materials are some of the most attractive facilities for external attacks aimed at the release of toxic substances. Dispersion of these substances into the atmosphere forms a concentration distribution of airborne pollutants with severe consequences for exposed individuals. For emergency preparedness and management, the availability of assessed/validated dispersion models, which can be able to predict concentration distribution and thus dangerous zones for exposed individuals, is of primary importance. Air quality models, integral models and analytical models predict the transport and the turbulent dispersion of gases or aerosols after their release without taking into account in detail the presence of obstacles. Obstacles can modify the velocity field and in turn the concentration field. The Computational Fluid Dynamics (CFD) models on the other hand are able to describe such phenomena, but they need to be correctly set up, tested and validated in order to obtain reliable results. Within the project Europa-ERG1 TA 113.034 "NBC Modelling and Simulation" several different approaches in CFD modelling of turbulent dispersion in closed, semi-confined and urban-like environment were adopted and compared with experimental data and with operational models. In this paper the results of a comparison between models describing the dispersion of a neutral gas in an idealized urban-like environment are presented and discussed. Experimental data available in the literature have been used as a benchmark for assessing statistical performance for each model. Selected experimental trials include some water channel tests, that were performed by Coanda at 1:205 scale, and one full-scale case that was tested in the fall of 2001 at the Dugway Proving Grounds in Utah, using an array of shipping containers. The paper also suggests the adoption of improved statistical parameters in order to better address differences between models, and to have a more straightforward method for comparing models suitable for emergency preparedness aims. [Copyright &y& Elsevier] |
| Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 70153672 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of CFD and operational dispersion models in an urban-like environment – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Antonioni%2C+G%2E%22">Antonioni, G.</searchLink><relatesTo>1</relatesTo><i> giacomo.antonioni3@unibo.it</i><br /><searchLink fieldCode="AR" term="%22Burkhart%2C+S%2E%22">Burkhart, S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Burman%2C+J%2E%22">Burman, J.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Dejoan%2C+A%2E%22">Dejoan, A.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Fusco%2C+A%2E%22">Fusco, A.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Gaasbeek%2C+R%2E%22">Gaasbeek, R.</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Gjesdal%2C+T%2E%22">Gjesdal, T.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Jäppinen%2C+A%2E%22">Jäppinen, A.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Riikonen%2C+K%2E%22">Riikonen, K.</searchLink><relatesTo>9</relatesTo><br /><searchLink fieldCode="AR" term="%22Morra%2C+P%2E%22">Morra, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Parmhed%2C+O%2E%22">Parmhed, O.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Santiago%2C+J%2EL%2E%22">Santiago, J.L.</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Feb2012, Vol. 47, p365-372. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Dispersion+%28Chemistry%29%22">Dispersion (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+plants+%26+the+environment%22">Chemical plants & the environment</searchLink><br /><searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+transport%22">Atmospheric transport</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Chemical plants, refineries, transportation of hazardous materials are some of the most attractive facilities for external attacks aimed at the release of toxic substances. Dispersion of these substances into the atmosphere forms a concentration distribution of airborne pollutants with severe consequences for exposed individuals. For emergency preparedness and management, the availability of assessed/validated dispersion models, which can be able to predict concentration distribution and thus dangerous zones for exposed individuals, is of primary importance. Air quality models, integral models and analytical models predict the transport and the turbulent dispersion of gases or aerosols after their release without taking into account in detail the presence of obstacles. Obstacles can modify the velocity field and in turn the concentration field. The Computational Fluid Dynamics (CFD) models on the other hand are able to describe such phenomena, but they need to be correctly set up, tested and validated in order to obtain reliable results. Within the project Europa-ERG1 TA 113.034 "NBC Modelling and Simulation" several different approaches in CFD modelling of turbulent dispersion in closed, semi-confined and urban-like environment were adopted and compared with experimental data and with operational models. In this paper the results of a comparison between models describing the dispersion of a neutral gas in an idealized urban-like environment are presented and discussed. Experimental data available in the literature have been used as a benchmark for assessing statistical performance for each model. Selected experimental trials include some water channel tests, that were performed by Coanda at 1:205 scale, and one full-scale case that was tested in the fall of 2001 at the Dugway Proving Grounds in Utah, using an array of shipping containers. The paper also suggests the adoption of improved statistical parameters in order to better address differences between models, and to have a more straightforward method for comparing models suitable for emergency preparedness aims. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.atmosenv.2011.10.053 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 365 Subjects: – SubjectFull: Computational fluid dynamics Type: general – SubjectFull: Dispersion (Chemistry) Type: general – SubjectFull: Chemical plants & the environment Type: general – SubjectFull: Air quality Type: general – SubjectFull: Atmospheric transport Type: general – SubjectFull: Atmospheric models Type: general – SubjectFull: Performance evaluation Type: general – SubjectFull: Simulation methods & models Type: general Titles: – TitleFull: Comparison of CFD and operational dispersion models in an urban-like environment Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Antonioni, G. – PersonEntity: Name: NameFull: Burkhart, S. – PersonEntity: Name: NameFull: Burman, J. – PersonEntity: Name: NameFull: Dejoan, A. – PersonEntity: Name: NameFull: Fusco, A. – PersonEntity: Name: NameFull: Gaasbeek, R. – PersonEntity: Name: NameFull: Gjesdal, T. – PersonEntity: Name: NameFull: Jäppinen, A. – PersonEntity: Name: NameFull: Riikonen, K. – PersonEntity: Name: NameFull: Morra, P. – PersonEntity: Name: NameFull: Parmhed, O. – PersonEntity: Name: NameFull: Santiago, J.L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 13522310 Numbering: – Type: volume Value: 47 Titles: – TitleFull: Atmospheric Environment Type: main |
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