Spatial modeling of environmental vulnerability of marine finfish aquaculture using GIS-based neuro-fuzzy techniques.

Autor: Navas JM; Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK. juralon5@hotmail.com, Telfer TC, Ross LG
Jazyk: angličtina
Zdroj: Marine pollution bulletin [Mar Pollut Bull] 2011 Aug; Vol. 62 (8), pp. 1786-99. Date of Electronic Publication: 2011 Jun 17.
DOI: 10.1016/j.marpolbul.2011.05.019
Abstrakt: Combining GIS with neuro-fuzzy modeling has the advantage that expert scientific knowledge in coastal aquaculture activities can be incorporated into a geospatial model to classify areas particularly vulnerable to pollutants. Data on the physical environment and its suitability for aquaculture in an Irish fjard, which is host to a number of different aquaculture activities, were derived from a three-dimensional hydrodynamic and GIS models. Subsequent incorporation into environmental vulnerability models, based on neuro-fuzzy techniques, highlighted localities particularly vulnerable to aquaculture development. The models produced an overall classification accuracy of 85.71%, with a Kappa coefficient of agreement of 81%, and were sensitive to different input parameters. A statistical comparison between vulnerability scores and nitrogen concentrations in sediment associated with salmon cages showed good correlation. Neuro-fuzzy techniques within GIS modeling classify vulnerability of coastal regions appropriately and have a role in policy decisions for aquaculture site selection.
(Copyright © 2011 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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