A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system

The combination of a Recirculation Aquaculture System (RAS) and Integrated Multi-trophic Aquaculture (IMTA) aims to optimize the utilization of nutrient input by recycling aquaculture wastes through use as food resources for co-cultured species. The coupling of RAS and IMTA also allows the developme...

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Published in:Aquaculture
Main Authors: Qiu, X, Carter, CG, Hilder, PE, Hadley, S
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Science Bv 2022
Subjects:
Online Access:https://doi.org/10.1016/j.aquaculture.2022.738216
http://ecite.utas.edu.au/150182
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spelling ftunivtasecite:oai:ecite.utas.edu.au:150182 2023-05-15T15:32:37+02:00 A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system Qiu, X Carter, CG Hilder, PE Hadley, S 2022 https://doi.org/10.1016/j.aquaculture.2022.738216 http://ecite.utas.edu.au/150182 en eng Elsevier Science Bv http://dx.doi.org/10.1016/j.aquaculture.2022.738216 Qiu, X and Carter, CG and Hilder, PE and Hadley, S, A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system, Aquaculture, 555 Article 738216. ISSN 0044-8486 (2022) [Refereed Article] http://ecite.utas.edu.au/150182 Mathematical Sciences Applied mathematics Operations research Refereed Article PeerReviewed 2022 ftunivtasecite https://doi.org/10.1016/j.aquaculture.2022.738216 2022-11-07T23:17:17Z The combination of a Recirculation Aquaculture System (RAS) and Integrated Multi-trophic Aquaculture (IMTA) aims to optimize the utilization of nutrient input by recycling aquaculture wastes through use as food resources for co-cultured species. The coupling of RAS and IMTA also allows the development of new aquaculture products, potentially increasing economic return. A dynamic nutrient mass balance model was developed for a seawater-based RAS system with a hypothetical IMTA component. The model incorporated a three-dimensional trophic food web (Atlantic salmon, Ulva lactuca and an invertebrate grazing species) alongside traditional mechanical and biological (nitrification) filtration processes. The model simulated different waste treatment methods using biological and mechanical filtration only and further incorporating macroalgae filtration. Simulations showed that RAS in combination with macroalgae IMTA could reduce dissolved inorganic nitrogen (DIN) by 66% and dissolved inorganic phosphorus (DIP) by 31% compared with just RAS biological filtration. Using an optimal harvesting strategy, DIN and DIP waste removal rose to 94% and 45% respectively, and an increase in by-products biomass of 41%. The dynamic nutrient mass balance model provides a quantitative tool to better understand the fate of nutrients, and to optimize the design of the system. Although the commercial-scale development of this type of aquaculture system will depend on feasibility and profitability, the concept of combining RAS and IMTA provides important potential for sustainable aquaculture in the future. Article in Journal/Newspaper Atlantic salmon eCite UTAS (University of Tasmania) Imta ENVELOPE(156.945,156.945,61.792,61.792) Aquaculture 555 738216
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Mathematical Sciences
Applied mathematics
Operations research
spellingShingle Mathematical Sciences
Applied mathematics
Operations research
Qiu, X
Carter, CG
Hilder, PE
Hadley, S
A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
topic_facet Mathematical Sciences
Applied mathematics
Operations research
description The combination of a Recirculation Aquaculture System (RAS) and Integrated Multi-trophic Aquaculture (IMTA) aims to optimize the utilization of nutrient input by recycling aquaculture wastes through use as food resources for co-cultured species. The coupling of RAS and IMTA also allows the development of new aquaculture products, potentially increasing economic return. A dynamic nutrient mass balance model was developed for a seawater-based RAS system with a hypothetical IMTA component. The model incorporated a three-dimensional trophic food web (Atlantic salmon, Ulva lactuca and an invertebrate grazing species) alongside traditional mechanical and biological (nitrification) filtration processes. The model simulated different waste treatment methods using biological and mechanical filtration only and further incorporating macroalgae filtration. Simulations showed that RAS in combination with macroalgae IMTA could reduce dissolved inorganic nitrogen (DIN) by 66% and dissolved inorganic phosphorus (DIP) by 31% compared with just RAS biological filtration. Using an optimal harvesting strategy, DIN and DIP waste removal rose to 94% and 45% respectively, and an increase in by-products biomass of 41%. The dynamic nutrient mass balance model provides a quantitative tool to better understand the fate of nutrients, and to optimize the design of the system. Although the commercial-scale development of this type of aquaculture system will depend on feasibility and profitability, the concept of combining RAS and IMTA provides important potential for sustainable aquaculture in the future.
format Article in Journal/Newspaper
author Qiu, X
Carter, CG
Hilder, PE
Hadley, S
author_facet Qiu, X
Carter, CG
Hilder, PE
Hadley, S
author_sort Qiu, X
title A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
title_short A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
title_full A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
title_fullStr A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
title_full_unstemmed A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system
title_sort dynamic nutrient mass balance model for optimizing waste treatment in ras and associated imta system
publisher Elsevier Science Bv
publishDate 2022
url https://doi.org/10.1016/j.aquaculture.2022.738216
http://ecite.utas.edu.au/150182
long_lat ENVELOPE(156.945,156.945,61.792,61.792)
geographic Imta
geographic_facet Imta
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation http://dx.doi.org/10.1016/j.aquaculture.2022.738216
Qiu, X and Carter, CG and Hilder, PE and Hadley, S, A dynamic nutrient mass balance model for optimizing waste treatment in RAS and associated IMTA system, Aquaculture, 555 Article 738216. ISSN 0044-8486 (2022) [Refereed Article]
http://ecite.utas.edu.au/150182
op_doi https://doi.org/10.1016/j.aquaculture.2022.738216
container_title Aquaculture
container_volume 555
container_start_page 738216
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