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Hydrodynamic method for estimating production carrying capacity of coastal finfish cage aquaculture in Southeast Asia

Authors :
Katharina Róisín Niederndorfer
José Manuel Fernández Jaramillo
Roberto Mayerle
Karl-Heinz Runte
Source :
Aquacultural Engineering. 88:102038
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

This paper presents the development of a simple and generally applicable hydrodynamic method for the estimation of production carrying capacity (PCC) of coastal finfish cage aquaculture. Dimensional analysis was used to find significant and general interdependencies between the hydrodynamics at fish farm locations and particulate wastes deposited on the seafloor by fish farms. Modeled ratios of deposition to emission of particulate wastes underneath fish farms were found to be primarily a function of the flow Reynolds numbers at the farming locations and the non-dimensional settling velocity of emitted wastes. In the non-dimensional model, farming conditions include daily feed rate, proportion of unconsumed feed, and carbon content in feed and fish feces. The relationship can be used to estimate the PCC of floating net cages imposing a threshold value for deposition. Results of in-situ assessments of the benthic impacts of several fish farms in an aquaculture site in the northwest of Bali, Indonesia were used to validate and demonstrate the effectiveness of the method. Predicted results were able to clearly identify fish farms operating beyond ecologically sustainable carrying capacity. The proposed method has broad applicability and could help make decisions regarding the estimation of production potential of individual farms in pristine areas, for providing first estimates in sites that have scarce data, and for assessment, expansion, and optimization of the currently operating aquaculture sites in Southeast Asia, China and potentially other data-poor island nations. As the method relies on dynamic models, it enables straightforward assessments over the entire aquaculture region.

Details

ISSN :
01448609
Volume :
88
Database :
OpenAIRE
Journal :
Aquacultural Engineering
Accession number :
edsair.doi...........29eada3822a1c0b8ec59c74103765ce1