a tool for predicting basic selective properties for ...
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a tool for predicting basic selective properties for ...
data (Galbraith et. al 1994) assuming different ranges of mesh opening angles (oa). Experimental SR can be explained by the oa range. oa range. L50 (cm) SR ...
FISHSELECT -a tool for predicting basic selective properties for nettings Bent Herrmann, Ludvig A. Krag, Rikke P. Frandsen, Niels Madsen, Bo Lundgren
FISHSELECT Presentation
1.Methodology Bent Herrmann 2.Case studies Ludvig A. Krag
FISHSELECT Methodology • Is a methodology to assess morphological conditions for fish to escape through meshes of different size and shape. • Three main steps in the methodology: 1. Experiments in laboratory a) Morphology measurements b) Fall-through trials 2. Simulation of laboratory experiments 3. Prediction of selective properties for different mesh shapes
1. Experiments in laboratory - morphology Cross section contours are extracted and measured for each fish using the MorphoMeter, scanning and image analysis. Length to cross section size is established. Cod in MorphoMeter
Aggregating data
Scanning
Edge detection
Regression analysis
Cross section description
Experiments in laboratory – fall-through
About 8000 -10000 fall-through trials per species (75 fish x 120 mesh templates)
Simulation of fall-through experiments The fall-through experiments are simulated assuming different levels of cross-section compression. The compression modelled leading to best agreement was used for predictions CS1 penetration model CS1 measured
CS2 CS1
CS1
Measured
Compressed
CS2
Prediction of selective properties A new series of simulations is conducted using a virtual population of fish based on the established morphological relations to predict the selective properties for different nettings.
60 40 20
Opening angle (degree)
80
L50 (cm) versus meshsize and opening angle
80
100
120
140
Meshsize (mm)
160
180
200
FISHSELECT
Case studies Ludvig A. Krag
Cod – design guide
L50 (cm) versus meshsize and opening angle
mesh opening angle versus catch weight (D100x100) 70 0
60
80
500 3000
30 20
10 0 0
250
500
750
1000
1250
60
40
40
Opening angle (degree)
O pen ing An g le
50
1500
20
catch weight (kg)
Mesh opening angle versus codend catch (calculated with FEMNET data from Herrmann et al 2006)
80
100
120
140
160
180
Meshsize (mm)
Design guide for cod (diamond mesh)
200
Cod – simulation of experimental results Exp.
Sim.
oa range
L50 (cm)
SR (cm)
Galbraith 1
29.2
6.8
Galbraith 2
28.4
8.5
35
29.8
1.2
25-45
29.6
4.9
20-50
29.4
7.3
15-55
29.2
10.0
Soft
52.2
1.9
Simulation of experimental data (Galbraith et. al 1994) assuming different ranges of mesh opening angles (oa). Experimental SR can be explained by the oa range.
Stochastic simulation of experimental data (Dahm et. al 2002) assuming a realistic range of mesh opening angles (oa).
Cod – explorative simulation
Dahm
Dahm
Predicted consequences on the distribution of L50 and SR by avoiding the lower oa values. Explorative simulation on Dahm et. al 2002 data. Distribution of L50 is narrowed and mean is increased. Distribution of SR is narrowed and mean reduced.
Study on Plaice CS 2
CS 1 CS1
CS 3
Ellipse
CS2 CS3 Half ellipse
Asymmetric trapezoid
L50 (cm) versus mesh size and squareness factor
L50 (cm) versus mesh size and opening angle
50
100
opening angle (degree)
60 40
squareness factor (%)
60 40
20
20
opening angle (degree)
80
150
80
100
L50 (cm) versus meshsize and opening angle
80
100
120
140
meshsize (mm)
160
180
200
80
100
120
140
mesh size (mm)
160
180
200
80
100
120
140
mesh size (mm)
160
180
200
Study on Turbot Measured
Fin-cut 0% Fin-cut 21%
Compressed
60 40 20
opening angle (degree)
80
L50 (cm) versus meshsize and opening angle
80
100
120
140
meshsize (mm)
160
180
200
Study on Lemon sole CS1
A penetration model based on CS1 and CS3 was applied to predict the basic selective properties for Lemon sole in diamond meshes
60 40 20
CS3
opening angle (degree)
80
L50 (cm) versus meshsize and opening angle
80
100
120
140
meshsize (mm)
160
180
200
Study on Sole CS3 CS2
CS1
CS1
CS2
CS3
Study on haddock CS1
60 40 20
Opening angle (degree)
80
L50 (cm) versus meshsize and opening angle
Penetration model based on CS1 80
100
120
140
Meshsize (mm)
160
180
200
NEPHROPS Combination of different contact modes can help understand experimental results 1
2
3
4
5
6
7
8
Diamond 90 mm
Square 70 mm 1
0.75 0.5
Experimental Simulated
0.25
Retention rate
Retention rate
1
0.75 0.5
Experimental Simulated
0.25 0
0 10
20
30
40
Carapax length (mm)
50
60
10
20
30
40
Carapax length (mm)
50
60
T0 and T90 T0
Net loading
Edge detection
Shape extraction
TEXT
T90
FISHSELECT can be used to study selective properties for nettings when used in normal direction and in 90 degrees turned direction
Simulation of sizeselection
Estimation of L50
Deployment of FISHSELECT data and results FISHSELECT can: •
Produce design guides for towed gears for different fisheries.
•
Assist with interpretation of experimental results obtained from sea trials.
•
Provide a better foundation for exploring new design ideas for selective gears to be tested at sea.
•
Provide basis for a quick and well-founded advice about technical regulations in different fisheries.
•
Provide basis for further development of the cod-end selectivity simulation tool PRESEMO.
FISHSELECT status • Nationally funded project completed in 2007. • Two papers have been submitted (method & cod) and several are in preparation. • Corporation with UIT (Norway) has been established (new species – Barents Sea) • New corporations in other areas are welcome! • We are hoping to integrate FISHSELECT in future internationally funded studies and projects.
