The Modelling of Odour Dispersion with Time-Resolved Models

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dc.contributor.authorBoeker, Peter
dc.contributor.authorWallenfang, Oliver
dc.contributor.authorKoster, Frank
dc.contributor.authorCroce, Roberto
dc.contributor.authorDiekmann, Bernd
dc.contributor.authorGriebel, Michael
dc.contributor.authorSchulze Lammers, Peter
dc.date2014-10-08en
dc.date.accessioned2024-05-22T13:43:21Z
dc.date.available2024-05-22T13:43:21Z
dc.date.issued2000en
dc.description.abstractIn connection with the methods used so far, this contribution describes a new approach for the modelling of odour dispersion. Using the aid of example cases, the methodology of odour prognosis with different approaches is explained, and their advantages and dis- advantages as well as their limitations are discussed. Particular attention is given to close-range dispersion from odour emis- sion sources with low source heights and a complex fluidic environment. Typical examples of such cases are agricultural sources or biological processing plants (composting, sewage treatment plants). The new dispersion model is a further development of the NaSt3D model with two variants of improved dispersion modelling, an advection- diffusion approach (Euler model) and a Lagrange-particle model. This model is able to conduct time-resolved calculations of flows and disper- sion and hence allows the question of concentration fluctuation, which is important for odour phenomena, to be integrated into the model. The parallelizing of the computer code enables terrain- and source configu- rations which have been too complex thus far to be calculated in a fine division of the calculation grid. At present, computer clusters and high- performance computers can be used for this purpose in anticipation of the fast further development of efficient personal computers. The consistently analytical approach avoids empirical model supple- ments with adaptation parameters, such as the otherwise necessary mo- dels of exceeding probability, and can thus be calibrated on a physical basis.en
dc.formatapplication/pdfen
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/10433
dc.language.isoengen
dc.relation//440ejournals.uni-hohenheim.de/index.php/ATF/article/view/8075/7800en
dc.rights.licensecopyrighten
dc.sourceAgrartechnische Forschung; Vol. 6 No. 4 (2000)en
dc.source0948-7298en
dc.titleThe Modelling of Odour Dispersion with Time-Resolved Models
dc.type.diniArticleen
dcterms.bibliographicCitationAgrartechnische Forschung, 6 (2000), 4. ISSN: 0948-7298
dcterms.bibliographicCitation.issn0948-7298
dcterms.bibliographicCitation.issue4
dcterms.bibliographicCitation.journaltitleAgrartechnische Forschung
dcterms.bibliographicCitation.volume6
dcterms.bibliographicCitation.zdb2829163-3
local.export.bibtex@article{Boeker2000, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/10433}, author = {Boeker, Peter and Wallenfang, Oliver and Koster, Frank et al.}, title = {The Modelling of Odour Dispersion with Time-Resolved Models}, journal = {Agrartechnische Forschung}, year = {2000}, volume = {6}, number = {4}, }
local.export.bibtexAuthorBoeker, Peter and Wallenfang, Oliver and Koster, Frank et al.
local.export.bibtexKeyBoeker2000
local.export.bibtexType@article
local.faculty.number2
local.institute.number440

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Agricultural Engineering Research, Volume 6 (2000)