A fully integrated GIS-based model of particulate waste distribution from marine fish-cage sites
By R. Corner, Adam J. Brooker, Trevor C. Telfer, Lindsay Glenn Ross. 2006
90 citations recorded by the source corpus.
Abstract Modern Geographical Information System (GIS) offers a powerful modelling environment capable of handling large databases. It is a very suitable environment in which to develop a suite of tools designed for environmental management of aquaculture sites, including carrying capacity prediction, land–water interactions and multi-site effects. One such tool, presented here, is a fully integrated and validated particulate fish waste dispersion module which uses mass balance to estimate waste input and takes account of variable bathymetry and variable settling velocity for feed and faecal components. The model also incorporates the effect of cage movement on waste dispersion, the first such model to do so. When tidal range was low (1.67 m), the maximum movement of a 22 m diameter circular cage was 10.1 m and 7.7 m easting and northing, respectively. Highest deposition from particulate fish waste is under the cage and incorporation of cage movement increased the effective area under a cage by 72%. This reduced peak deposition measurements by up to 32% and reduced the average modelled feed and faecal settlement at the cage centre by 23% and 11%, respectively. The model was validated by comparing model predictions with observed deposition measured using sediment traps during three 2-week field trips at a fish farm on the west coast of Scotland. The mean ratio of observed to predicted waste deposition at 5–25 m from the cage centre ranged from 0.9 to 1.06, whilst under the cage the model over-predicts deposition (observed/predicted = 2.21). Although far-field data was seen to be comparable the near-field discrepancies resulted in variable overall accuracy in the model. The overall accuracy based on August 2001 data was ± 50.9%, on February 2002, ± 72.8% and on April 2002, ± 50.6%. Summarizing the data resulted in an overall average predictive accuracy of ± 58.1%.
Subfields: Aquatic Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/65fe95eca34c5800cc56a0c3e9c6d0a1b9527780
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In Aquatic Science
In Global and Planetary Change
Citations in the corpus
- Production, mortality, and infectivity of planktonic larval sea lice, Lepeophtheirus salmonis (Krøyer, 1837): current knowledge and implications for epidemiological modelling (2018, methodology): “Particle tracking models predict the dispersal over time of particles generated at a point source using hydrodynamic models (e.g. Corner et al., 2006), which calculate local current velocities based on local topography, fluid dynamics, and external forcing from tidal elevation, freshwater inputs,…”
- A review of the biophysical properties of salmonid faeces: implications for aquaculture waste dispersal models and integrated multi‐trophic aquaculture (2009, methodology): “2002; Corner et al. 2006; Jusup et al. 2007). Magill et al. (2006), supplying DEPOMOD with faecal settling data collected from sea bream and sea bass, found that the model was highly sensitive to changes in settling velocity.”
- Discharge of nutrient wastes from salmon farms: environmental effects, and potential for integrated multi-trophic aquaculture (2012, background): “…(2009) Water in feed (%DW) 4 Piedecausa et al. (2010) Dry matter in fish (%WW) 33.5 Talbot et al. (1986) Carbon (C) AE 0.8 Cheshuk et al. (2003), Corner et al. (2006) C content in feed (%DW) 51 Petersen et al. (2005), Corner et al. (2006) C content in fish (%DW) 50 Olsen & Olsen (2008) Soluble…”