Title: Modelling aquaculture impacts
1Modelling aquaculture impacts
2MOM (Modelling - Ongrowing fish farms -
Monitoring)
- This model developed in Norway is a three
component model for modelling organic impacts. - The fish sub-model simulates the release of
particulate material from the farm based on
information on the feeding rate and composition
of food. Uptake, retention and excretion are all
calculated in relation to the temperature and
size of the fish. - The output from this sub-model provides the
initial conditions for the dispersion sub-model
which simulates dispersion and sedimentation
rates of excess feed and faecal pellets. - The sediment sub-model calculates the maximum
decomposition at the seabed for a particular
scenario and oxygen concentration in the benthic
boundary layer is also calculated. - The combination of these sub-models allows the
calculation of maximum fish production that a
site can sustain without adverse benthic effects.
3AWATS - Aquaculture Waste Transport Simulator
- The AWATS model is a mathematical model to
simulate tidal and wind-driven currents, waves,
and the resulting dispersion of fish food and
faecal matter in coastal areas. - This model was one of the first aquaculture
organic impact models to include complex models
of the descriptions of spatially varying current
around the study area. - In addition, wind driven flow and waves are also
included as processes having an effect on the
subsequent dispersal of discharged particulate
material. - This model originally lacked resuspension which
causes deposited particles to be re-entrained
into near bed flows and advected away from the
initial footprint area.
4DEPOMOD
- This model is a lagrangian particle tracking
model which predicts the dispersion of
particulate wastes arising from aquaculture
activities and associated benthic impacts. - It was developed from a sewage dispersion model
also developed by SAMS, but required extensive
modification to data input requirements and
validation for the fish farming environment. - There are three main modules
- particle tracking,
- resuspension
- benthic response.
- Predictions of solids accumulation (g m-2 yr-1)
determine the benthic response using a
relationship between solids accumulation and
benthic indices validated for Scottish fish
farms.
5- Current profiles in stratified waters are
complex. Particles settling at different rates
are subject to current shear and turbulence
6MERAMOD
- Is a conversion of Depomod from cols water areas
to temperate areas - There is an addition of wild fish component to
take into account the utilisation of waste feed
by wild fish under the cages - It also takes into account the different species
and behaviour of faecal pellets in the water
column. - It is validated for cage farms in the
Mediterranean
7 8 9Crucial input data for modelling
- There are a number of key input data issues which
need to be addressed when developing an existing
model for application in a different environment.
Although the principal physical processes can be
applied to different areas, the input data used
to drive these components need to be critically
assessed.
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15Sediment trap experiments (model validation)
Water column (WC)
Upper (U)
Lower (L)
x6
x6
x6 or x12
1. Deploy 2. Retrieve, filter, dry 3. Calculate
observed flux (total waste particulate material
g solids m-2 yr-1) 4. Check calculation
75 cm HD 51 ratio
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18Typical impact footprints
Dispersive sites Strong currents Impact over a
larger area (up to 100 m) but less
intense Typical of fish farms in
Scotland Depositional sites Weaker
currents Impact over a limited area (up to 30
m) But more intense Typical of farms in Greece
19Model validation
Species Abundance
Use benthic data to establish relationships
between benthic indices and flux predictions
Shannon Weiner
Modelled flux (g m-2 yr-1)
20Use of models in knowledge transfer
Closely spaced cages Largely spaced
21Sedimentation 4 cages weak current
Sensitive habitats
22Sedimentation 4 cages strong current
Sensitive habitats