Data assimilation as a key step towards the implementation of an efficient management of dissolved oxygen in land-based aquaculture

A data assimilation (DA) methodology, e.g. the continuous-discrete Kalman filter (CD-KF), was applied to the assimilation of dissolved oxygen data, in order to obtain a dynamic estimation of the oxygen demand in a land-based aquafarm. The CD-KF was implemented on a dynamic model, which included as s...

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Bibliographic Details
Published in:Aquaculture international 2023-06, Vol.31 (3), p.1287-1301
Main Authors: Royer, Edouard, Pastres, Roberto
Format: Article
Language:English
Subjects:
Aquaculture
Biomedical and Life Sciences
Control systems
Daily
Data assimilation
Data collection
Dissolved oxygen
Fish
Fish culture
Fish farms
Freshwater & Marine Ecology
Influents
Kalman filters
Life Sciences
Methods
Oxygen
Oxygen demand
Oxygen requirement
Polyculture (aquaculture)
Raceway culture
Respiration
Time series
Water temperature
Zoology
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Summary:A data assimilation (DA) methodology, e.g. the continuous-discrete Kalman filter (CD-KF), was applied to the assimilation of dissolved oxygen data, in order to obtain a dynamic estimation of the oxygen demand in a land-based aquafarm. The CD-KF was implemented on a dynamic model, which included as state variables the concentration of dissolved oxygen (DO) and fish respiration rate: the latter was considered as a non-observable stochastic variable. The model was applied to a 1-month long set of observations collected at a raceway rainbow trout farm, including (1) hourly time series of water temperature and dissolved oxygen concentration in the raceway influent and effluent and (2) a daily time series of fish number and fish weight distribution. The results show that the assimilation of DO data led to a dynamic estimate of DO demand which showed changes in the daily mean and the daily pattern: these were related to changes in the feeding regime. Furthermore, the methodology provided accurate short-term predictions of the DO concentration also in the presence of short-term fluctuations, which would be very difficult to relate to external forcings in a mechanistic model. These findings indicate that DA could be effectively used to design and implement efficient and robust control systems for optimizing the oxygen supply, thus contributing to the implementation of Precision Fish Farming in land-based aquafarms.
ISSN:0967-6120
1573-143X
DOI:10.1007/s10499-022-01028-w