Abstract
Submitted to the combination of a growing anthropogenic pressure, pollution and the increase of health required standards, the costal and ponds’ ecosystems are endangered involving the decline of traditional sea activities. In this paper we present a methodology to build a distributed artificial intelligent based model dedicated to interactions between watershed and activities in coastal areas. Organizing the coastal systems into a hierarchy, following a multi-agents approach, we build a generic model of each system’s stakeholder. We focus on modeling the influences of the watershed activities on sea farming. Using a geographic information system, we explicit how to take advantages of the spatiotemporal ground data to fit the simulations to the specificities of each targeted site.
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References
Copping, A., Khangaonkar, T.: Managing a Developing Estuary Integration of Hydrodynamic Models, Ecological Understanding, and Resource Management. In: Estuarine Research Federation’s 19th Conf., Rhode Island (2007)
Urbani, D.: Development of a new MAS GIS hybrid approach for Decision Support Systems; application to water management, Ph. D. these, University of Corsica (2006)
Urbani, D., Delhom, M.: A Decision Support System for the Water Management in Mediterranean Islands based on a Multi-Agent System. In: Proceedings of IEEE - AISTA 2004 conference, Kirchberg - Luxembourg (November 2004)
Bousquet, F., Bakam, I., Proton, H., Le Page, C.: Cormas: common-pool resources and multi-agent Systems. In: Mira, J., Moonis, A., de Pobil, A.P. (eds.) IEA/AIE 1998. LNCS, vol. 1416, pp. 826–838. Springer, Heidelberg (1998)
ArcGIS description, http://www.esri.com/
Urbani, D., Delhom, M.: Water Management Policy Selection Using a Decision Support System Based on a Multi-agent System. In: Proceedings 9th Congress of the Italian, Association for Artificial Intelligence, Milan, Italy, September 21-23 (2005)
Urbani, D., Delhom, M.: Water Management Using a New Hybrid Multi-Agents System – Geographic Information System Decision Support System Framework. In: IEEE International Symposium on Environment Identities and Mediterranean area (July 2006)
Directive 2006/88/EC of the European Parliament on animal health requirements for aquaculture animals and products
Directive 2000/60/EC of the European Parliament establishing a framework for Community action in the field of water policy
Deskshenieks, M., Hofmann, E., Klinck, J., Powell, E.: Quantifying the Effects of Environmental Change on an Oyster Population: A Modeling Study. Estuaries 23(5), 593–610 (2000)
Apeti, D.A.: A Model for Bioaccumulation of Metals in Crassostrea virginica from Apalachicola Bay, Florida. American Journal of Environmental Sciences 1(3), 239–248 (2005)
Urbani, D., Delhom, M.: Gestion intégrée de l’alimentation en eau à l’aide d’un système hybride SMA-SIG. In: Conférence SIG 2005 – ESRI France – Issy les Moulineaux, France (2005)
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Urbani, D., Delhom, M. (2008). Hybrid MAS GIS Coastal Systems Modeling Methodology. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_55
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DOI: https://doi.org/10.1007/978-3-540-69052-8_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69045-0
Online ISBN: 978-3-540-69052-8
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