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Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model
Thesis (MSc)--Stellenbosch University, 2020.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2020
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| _version_ | 1867614098913492992 |
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| access_status_str | Open Access |
| author | Kennealy, Meghan |
| author2 | Smit, Francois |
| author_browse | Kennealy, Meghan Smit, Francois |
| author_facet | Smit, Francois Kennealy, Meghan |
| author_sort | Kennealy, Meghan |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MSc)--Stellenbosch University, 2020. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/109128 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:46:39.009Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/109128 Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model Kennealy, Meghan Smit, Francois Wilms, Josefine M. Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Division Applied Mathematics. Waterborne infection -- Transmission -- Mathematical models Particle tracking velocimetry Salmon farming Langrangian equations Computational fluid dynmics UCTD Thesis (MSc)--Stellenbosch University, 2020. ENGLISH ABSTRACT: This study sets out to model the spread of a waterborne disease between cages within an open water salmon farm, by means of a Lagrangian particle tracking model. The study modelled the flow through and around an array of salmon fish cages in an open ocean environment by means of computational fluid dynamics (CFD). Throughout the study an in-house code, which is a Python package called Fish Infection Simulation Helper (FISH), was developed. The code FISH was developed to simulate the spread of virus particles. The particles are generated within a initially infected region with a population model. The particles are then tracked throughout the domain by means of a Lagrangian particle tracking model. FISH was used as a post-processing tool which was coupled with the OpenFOAM CFD model of the velocity field. The disease model was comprised of a population model as well as a shedding and decay model to account for the behaviour of the virus particles. AFFIKAANSE OPSOMMING: Hierdie studie het ten doel om die verspreiding van ’n watergedraagde siekte tussen hokke in ’n oopwater-salmplaas deur middel van ’n Lagrangiaanse deeltjieopsporingsmodel, te modelleer. Die studie het die vloei deur en rondom ’n verskeidenheid salmvishokke in ’n oop oseaan-omgewing deur middel van berekeningsvloeidinamika (“CFD”), gemodelleer. Gedurende die studie van die inhuis kode is ’n Python-pakket genaamd Fish Infection Simulation Helper (FISH) ontwikkel. Die kode FISH is ontwikkel om die verspreiding van virusdeeltjies te simuleer namate die deeltjies deur die hele domein gegenereer word, deur ’n bevolkingsmodel te kombineer met ’n Lagrangiaanse deeltjieopsporingsmodel. FISH is gebruik as ’n naverwerkingsprogram wat gekoppel is aan die OpenFOAM CFD-model van die snelheidsveld. Die siekte-model bestaan uit ’n bevolkingsmodel sowel as ’n stortings- en vervalmodel om die gedrag van die virusdeeltjies te modelleer. The financial assistance of the Centre of Excellence of Mathematical and Statistical Sciences (CoEMaSS) and National Research Foundation (NRF) towards this research is hereby acknowledged. Opinions expressed and conclusions arrived at are those of the author and are not necessarily to be attributed to the NRF. Masters 2020-10-27T08:06:21Z 2021-01-31T19:36:25Z 2020-10-27T08:06:21Z 2021-01-31T19:36:25Z 2020-12 Thesis http://hdl.handle.net/10019.1/109128 en_ZA Stellenbosch University xvii, 107 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Waterborne infection -- Transmission -- Mathematical models Particle tracking velocimetry Salmon farming Langrangian equations Computational fluid dynmics UCTD Kennealy, Meghan Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title | Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title_full | Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title_fullStr | Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title_full_unstemmed | Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title_short | Modelling the spread of waterborne disease in salmon farms by means of a Lagrangian particle tracking model |
| title_sort | modelling the spread of waterborne disease in salmon farms by means of a lagrangian particle tracking model |
| topic | Waterborne infection -- Transmission -- Mathematical models Particle tracking velocimetry Salmon farming Langrangian equations Computational fluid dynmics UCTD |
| url | http://hdl.handle.net/10019.1/109128 |
| work_keys_str_mv | AT kennealymeghan modellingthespreadofwaterbornediseaseinsalmonfarmsbymeansofalagrangianparticletrackingmodel |