Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture
There is considerable opportunity to develop new modelling techniques within a Geographic Information Systems (GIS) framework for the development of sustainable marine cage culture. However, the spatial data sets are often uncertain and incomplete, therefore new spatial models employing “soft comput...
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University of Stirling
2010
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Online Access: | http://hdl.handle.net/1893/2580 http://dspace.stir.ac.uk/bitstream/1893/2580/1/Thesis%20Juan%20Moreno%20Navas.pdf |
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ftunivstirling:oai:dspace.stir.ac.uk:1893/2580 2023-05-15T15:33:04+02:00 Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture Navas, Juan Moreno Ross, Lindsay School of Natural Sciences Aquaculture 2010-05 application/pdf http://hdl.handle.net/1893/2580 http://dspace.stir.ac.uk/bitstream/1893/2580/1/Thesis%20Juan%20Moreno%20Navas.pdf en eng University of Stirling Institute of aquaculture http://hdl.handle.net/1893/2580 http://dspace.stir.ac.uk/bitstream/1893/2580/1/Thesis%20Juan%20Moreno%20Navas.pdf Figure 2.4. New bridge in the second narrow area in Mulroy Bay. Copyright Colin Park and licensed for reuse under this Creative Commons Licence A. Figure 2.6 . Mulroy Bay. Looking across Boat Bay towards the salmon fishery. Copyright Willie Duffin and licensed for reuse under this Creative Commons Licence. 2011-05-01 Time to write articles for publication Geographic Information Systems neuro-fuzzy classification environmental vulnerability Hydrodynamic model particle-tracking model Marine cage aquaculture Salmon aquaculture separability indexes Spatial decision support systems Fjordic system Region of restricted exchange Aquaculture site selection GIS Neuro-fuzzy Systems Mariculture Computational biology Thesis or Dissertation Doctoral Doctor of Philosophy 2010 ftunivstirling 2022-06-13T18:42:32Z There is considerable opportunity to develop new modelling techniques within a Geographic Information Systems (GIS) framework for the development of sustainable marine cage culture. However, the spatial data sets are often uncertain and incomplete, therefore new spatial models employing “soft computing” methods such as fuzzy logic may be more suitable. The aim of this study is to develop a model using Neuro-fuzzy techniques in a 3D GIS (Arc View 3.2) to predict coastal environmental vulnerability for Atlantic salmon cage aquaculture. A 3D hydrodynamic model (3DMOHID) coupled to a particle-tracking model is applied to study the circulation patterns, dispersion processes and residence time in Mulroy Bay, Co. Donegal Ireland, an Irish fjard (shallow fjordic system), an area of restricted exchange, geometrically complicated with important aquaculture activities. The hydrodynamic model was calibrated and validated by comparison with sea surface and water flow measurements. The model provided spatial and temporal information on circulation, renewal time, helping to determine the influence of winds on circulation patterns and in particular the assessment of the hydrographic conditions with a strong influence on the management of fish cage culture. The particle-tracking model was used to study the transport and flushing processes. Instantaneous massive releases of particles from key boxes are modelled to analyse the ocean-fjord exchange characteristics and, by emulating discharge from finfish cages, to show the behaviour of waste in terms of water circulation and water exchange. In this study the results from the hydrodynamic model have been incorporated into GIS to provide an easy-to-use graphical user interface for 2D (maps), 3D and temporal visualization (animations), for interrogation of results. v Data on the physical environment and aquaculture suitability were derived from a 3- dimensional hydrodynamic model and GIS for incorporation into the final model framework and included mean and maximum current velocities, ... Doctoral or Postdoctoral Thesis Atlantic salmon University of Stirling: Stirling Digital Research Repository |
institution |
Open Polar |
collection |
University of Stirling: Stirling Digital Research Repository |
op_collection_id |
ftunivstirling |
language |
English |
topic |
Geographic Information Systems neuro-fuzzy classification environmental vulnerability Hydrodynamic model particle-tracking model Marine cage aquaculture Salmon aquaculture separability indexes Spatial decision support systems Fjordic system Region of restricted exchange Aquaculture site selection GIS Neuro-fuzzy Systems Mariculture Computational biology |
spellingShingle |
Geographic Information Systems neuro-fuzzy classification environmental vulnerability Hydrodynamic model particle-tracking model Marine cage aquaculture Salmon aquaculture separability indexes Spatial decision support systems Fjordic system Region of restricted exchange Aquaculture site selection GIS Neuro-fuzzy Systems Mariculture Computational biology Navas, Juan Moreno Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
topic_facet |
Geographic Information Systems neuro-fuzzy classification environmental vulnerability Hydrodynamic model particle-tracking model Marine cage aquaculture Salmon aquaculture separability indexes Spatial decision support systems Fjordic system Region of restricted exchange Aquaculture site selection GIS Neuro-fuzzy Systems Mariculture Computational biology |
description |
There is considerable opportunity to develop new modelling techniques within a Geographic Information Systems (GIS) framework for the development of sustainable marine cage culture. However, the spatial data sets are often uncertain and incomplete, therefore new spatial models employing “soft computing” methods such as fuzzy logic may be more suitable. The aim of this study is to develop a model using Neuro-fuzzy techniques in a 3D GIS (Arc View 3.2) to predict coastal environmental vulnerability for Atlantic salmon cage aquaculture. A 3D hydrodynamic model (3DMOHID) coupled to a particle-tracking model is applied to study the circulation patterns, dispersion processes and residence time in Mulroy Bay, Co. Donegal Ireland, an Irish fjard (shallow fjordic system), an area of restricted exchange, geometrically complicated with important aquaculture activities. The hydrodynamic model was calibrated and validated by comparison with sea surface and water flow measurements. The model provided spatial and temporal information on circulation, renewal time, helping to determine the influence of winds on circulation patterns and in particular the assessment of the hydrographic conditions with a strong influence on the management of fish cage culture. The particle-tracking model was used to study the transport and flushing processes. Instantaneous massive releases of particles from key boxes are modelled to analyse the ocean-fjord exchange characteristics and, by emulating discharge from finfish cages, to show the behaviour of waste in terms of water circulation and water exchange. In this study the results from the hydrodynamic model have been incorporated into GIS to provide an easy-to-use graphical user interface for 2D (maps), 3D and temporal visualization (animations), for interrogation of results. v Data on the physical environment and aquaculture suitability were derived from a 3- dimensional hydrodynamic model and GIS for incorporation into the final model framework and included mean and maximum current velocities, ... |
author2 |
Ross, Lindsay School of Natural Sciences Aquaculture |
format |
Doctoral or Postdoctoral Thesis |
author |
Navas, Juan Moreno |
author_facet |
Navas, Juan Moreno |
author_sort |
Navas, Juan Moreno |
title |
Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
title_short |
Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
title_full |
Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
title_fullStr |
Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
title_full_unstemmed |
Three-dimensional hydrodynamic models coupled with GIS-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
title_sort |
three-dimensional hydrodynamic models coupled with gis-based neuro-fuzzy classification for assessing environmental vulnerability of marine cage aquaculture |
publisher |
University of Stirling |
publishDate |
2010 |
url |
http://hdl.handle.net/1893/2580 http://dspace.stir.ac.uk/bitstream/1893/2580/1/Thesis%20Juan%20Moreno%20Navas.pdf |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
http://hdl.handle.net/1893/2580 http://dspace.stir.ac.uk/bitstream/1893/2580/1/Thesis%20Juan%20Moreno%20Navas.pdf |
op_rights |
Figure 2.4. New bridge in the second narrow area in Mulroy Bay. Copyright Colin Park and licensed for reuse under this Creative Commons Licence A. Figure 2.6 . Mulroy Bay. Looking across Boat Bay towards the salmon fishery. Copyright Willie Duffin and licensed for reuse under this Creative Commons Licence. 2011-05-01 Time to write articles for publication |
_version_ |
1766363537252286464 |