Antarctic Legacy Archive

Simulating wind patterns across Marion Island using computational fluid dynamics

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dc.contributor.author Goddard, K.A.
dc.contributor.author Craig, K.J.
dc.contributor.author Schoombie, J.
dc.coverage.spatial sub-Antarctic
dc.coverage.spatial Marion Island
dc.date.accessioned 2021-03-05T15:52:44Z
dc.date.available 2021-03-05T15:52:44Z
dc.date.created 18-Aug
dc.date.issued 18-Aug
dc.identifier.uri http://hdl.handle.net/123456789/28387
dc.description.abstract Marion Island is a sub-Antarctic island located between 40 and 50 °S, in a region known as the roaring forties. It is generally assumed that wind has a significant impact on both the biotic and abiotic systems on the island, but there is a lack of quantitative data on detailed in-island wind patterns produced by the dominant wind direction and speed ranges. The aim of the present study is to simulate air flow across Marion Island’s topography using computational fluid dynamics (CFD.. CFD is an engineering tool commonly used in the field of fluid dynamics and has been used to simulate flow over complex landscapes, although not typically at this spatial scale. A baseline CFD model will be produced for a range of wind directions and speeds that are presently dominant around Marion Island. The computational simulations will be validated by comparing the simulation model to existing validation cases as well as comparing the computational data to a series of measurements taken on Marion Island over a period of two years. Once a baseline simulation model has been created, the wind patterns may be used to assess the relationship between the wind patterns and the ecological systems in the current climate. It is then possible to computationally simulate wind flows at additional wind directions, thereby assessing the impact of a change in dominant wind direction on ecological systems on Marion Island. - Abstract as displayed in the - Abstract booklet. The presentation on the day may differ from the - Abstract. en_ZA
dc.description.sponsorship Sponsored by the the Department of Science and Innovation(DSI) through National Research Foundation (NRF) - South Africa en_ZA
dc.description.statementofresponsibility Antarctic Legacy of South Africa en_ZA
dc.format PDF en_ZA
dc.language English en_ZA
dc.language.iso en_ZA en_ZA
dc.publisher South African National Antarctic Programme (SANAP. en_ZA
dc.relation SANAP Symposium 2018 en_ZA
dc.rights Copyright en_ZA
dc.rights Copyright en_ZA
dc.subject Research en_ZA
dc.subject Science en_ZA
dc.subject Meetings en_ZA
dc.subject Symposium en_ZA
dc.subject SANAP Symposium 2018 en_ZA
dc.subject Engineering en_ZA
dc.subject sub-Antarctic en_ZA
dc.subject Marion Island en_ZA
dc.subject Wind Patterns en_ZA
dc.subject Fluid Dynamics en_ZA
dc.subject Wind en_ZA
dc.subject Roaring Forties en_ZA
dc.subject Computational Fluid Dynamics en_ZA
dc.subject Air Flow en_ZA
dc.subject Computational Simulations en_ZA
dc.title Simulating wind patterns across Marion Island using computational fluid dynamics en_ZA
dc.type Abstracts en_ZA
dc.rights.holder Antarctic Legacy of South Africa en_ZA
dc.rights.holder Goddard, K.A. en_ZA
dc.rights.holder Craig, K.J. en_ZA
dc.rights.holder Schoombie, J. en_ZA
iso19115.mdconstraints.uselimitation This item and the content of this website are subject to copyright protection. Reproduction of the content, or any part of it, other than for research, academic or non-commercial use is prohibited without prior consent from the copyright holder. en_ZA
iso19115.mddistributor.distributorcontact South African National Antarctic Programme -SANAP. en_ZA
iso19115.mdformat.name PDF en_ZA
iso19115.mdidentification.deliverypoint Antarctic Legacy of South Africa, Faculty of Science, Private Bag X1, Matieland. Stellenbosch. South Africa. en_ZA
iso19115.mdidentification.electronicmailaddress antarcticlegacy@sun.ac.za en_ZA
iso19115.mdidentification.organizationname University of Pretoria en_ZA
iso19115.mdidentification.organizationname Council for Scientific and Industrial Research en_ZA


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