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A summary of the improvements in the latest version of DEPOMOD (NewDEPOMOD) as compared with earlier versions (DEPOMOD/AutoDEPOMOD)


Hadley, SA and MacLeod, C and Ross, J, A summary of the improvements in the latest version of DEPOMOD (NewDEPOMOD) as compared with earlier versions (DEPOMOD/AutoDEPOMOD), DPIPWE, Hobart, Tasmania (2018) [Government or Industry Research]

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DEPOMOD is a software tool created to predict the level and extent of deposition of particulate waste material and associated benthic impacts resulting from open cage finfish aquaculture based on user defined farm (e.g. feeding rates, configuration) and environmental information (e.g. currents, bathymetry) (Cromey et al. 2002). This tool offers a way of predicting the suitability of new sites based on a suite of compliance conditions, and outlining the allowable zone of effect (AZE). DEPOMOD uses the relationship between waste deposition rates and infaunal information (abundance and the Infaunal Trophic Index (ITI)), to assess whether a proposed farming scenario (stocking biomass) would be environmentally compliant. The original version of DEPOMOD required the running of three separate model components: i) grid creation, i where i) a deposition model and iii) a resuspension modules. The user could re-run the deposition and re-suspension applications under varying fish biomass scenarios until the results indicated a compliant stocking biomass. AutoDEPOMOD collated these separate applications into the one automated process, returning the most appropriate (compliant) biomass at the end of the model run. There is also the option in AutoDEPOMOD to provide a visual representation of the benthic effects footprint associated with any given amount of feed.

Item Details

Item Type:Government or Industry Research
Keywords:depositional modelling, salmon aquaculture
Research Division:Mathematical Sciences
Research Group:Applied mathematics
Research Field:Biological mathematics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Hadley, SA (Mr Scott Hadley)
UTAS Author:MacLeod, C (Associate Professor Catriona MacLeod)
UTAS Author:Ross, J (Associate Professor Jeff Ross)
ID Code:126637
Year Published:2018
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2018-06-20
Last Modified:2018-06-25
Downloads:5 View Download Statistics

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