Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages

Dissolved oxygen (DO) concentration is an important factor affecting fish welfare and growth in Atlantic salmon sea cages. As an operational prediction tool, and to aid our understanding of how DO concentrations are affected by cage size, shape and design interacting with the fish biomass and enviro...

Full description

Bibliographic Details
Published in:Aquaculture
Main Authors: Alver, Morten, Føre, Martin, Alfredsen, Jo Arve
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Ltd. 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3051493
https://doi.org/10.1016/j.aquaculture.2021.737720
id ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3051493
record_format openpolar
spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3051493 2023-05-15T15:31:24+02:00 Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages Alver, Morten Føre, Martin Alfredsen, Jo Arve 2022 application/pdf https://hdl.handle.net/11250/3051493 https://doi.org/10.1016/j.aquaculture.2021.737720 eng eng Elsevier Ltd. Sigma2: ns9828k Sigma2: nn9828k urn:issn:0044-8486 https://hdl.handle.net/11250/3051493 https://doi.org/10.1016/j.aquaculture.2021.737720 cristin:2003090 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 548, part 2 Aquaculture 737720 Peer reviewed Journal article 2022 ftntnutrondheimi https://doi.org/10.1016/j.aquaculture.2021.737720 2023-02-22T23:43:56Z Dissolved oxygen (DO) concentration is an important factor affecting fish welfare and growth in Atlantic salmon sea cages. As an operational prediction tool, and to aid our understanding of how DO concentrations are affected by cage size, shape and design interacting with the fish biomass and environmental conditions, we have developed a mathematical model based on the advection-diffusion equation for 3D estimates of DO levels. The model requires input of farm geometry, ambient oxygen levels, current speed and direction, feeding rates, fish distribution and biomass statistics. The model has been tested for Salmar's Ocean Farm 1, a large production unit dimensioned for 1.5 million fish and designed for coping with exposed environmental conditions, and performs well in comparison with DO measurements, particularly at low to moderate current speeds. Although the model produces realistic outputs with the simple inputs that are available, detailed information about fish behaviour and current conditions within the cage is likely to improve model accuracy. In addition to being a useful tool for better monitoring of oxygen conditions in fish farms, the present model can, given the appropriate inputs, be used as a forecasting tool for predicting the risk of hypoxic conditions in cages, and to evaluate the risks of hypoxic conditions in new types of open, semi-closed or closed production systems. publishedVersion Article in Journal/Newspaper Atlantic salmon Salmo salar NTNU Open Archive (Norwegian University of Science and Technology) Aquaculture 548 737720
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
description Dissolved oxygen (DO) concentration is an important factor affecting fish welfare and growth in Atlantic salmon sea cages. As an operational prediction tool, and to aid our understanding of how DO concentrations are affected by cage size, shape and design interacting with the fish biomass and environmental conditions, we have developed a mathematical model based on the advection-diffusion equation for 3D estimates of DO levels. The model requires input of farm geometry, ambient oxygen levels, current speed and direction, feeding rates, fish distribution and biomass statistics. The model has been tested for Salmar's Ocean Farm 1, a large production unit dimensioned for 1.5 million fish and designed for coping with exposed environmental conditions, and performs well in comparison with DO measurements, particularly at low to moderate current speeds. Although the model produces realistic outputs with the simple inputs that are available, detailed information about fish behaviour and current conditions within the cage is likely to improve model accuracy. In addition to being a useful tool for better monitoring of oxygen conditions in fish farms, the present model can, given the appropriate inputs, be used as a forecasting tool for predicting the risk of hypoxic conditions in cages, and to evaluate the risks of hypoxic conditions in new types of open, semi-closed or closed production systems. publishedVersion
format Article in Journal/Newspaper
author Alver, Morten
Føre, Martin
Alfredsen, Jo Arve
spellingShingle Alver, Morten
Føre, Martin
Alfredsen, Jo Arve
Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
author_facet Alver, Morten
Føre, Martin
Alfredsen, Jo Arve
author_sort Alver, Morten
title Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
title_short Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
title_full Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
title_fullStr Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
title_full_unstemmed Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
title_sort predicting oxygen levels in atlantic salmon (salmo salar) sea cages
publisher Elsevier Ltd.
publishDate 2022
url https://hdl.handle.net/11250/3051493
https://doi.org/10.1016/j.aquaculture.2021.737720
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source 548, part 2
Aquaculture
737720
op_relation Sigma2: ns9828k
Sigma2: nn9828k
urn:issn:0044-8486
https://hdl.handle.net/11250/3051493
https://doi.org/10.1016/j.aquaculture.2021.737720
cristin:2003090
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
op_rightsnorm CC-BY
op_doi https://doi.org/10.1016/j.aquaculture.2021.737720
container_title Aquaculture
container_volume 548
container_start_page 737720
_version_ 1766361909194391552