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Descripción
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| The aim of this research is building, with the active involvement of stakeholders, a Bayesian Network (BN) that will serve as a decision support tool for water management in Upper Guadiana Basin, aiming at the double objective of socio-economic and environmental sustainability. The main advantages of BNs are its participatory approach, the explicit consideration of uncertainties and the possibility to integrate different disciplines, characteristics that make BNs a powerful tool which is able to respond to the Water Framework Directive guidelines. The methodology of the research consists on the construction of a Decision Support System (DSS) in a participatory way, which will be used in water management decision making and where the main components are: (1) A Bayesian network, which represents the water management system and allows to test different management options, and (2) an agro-economic model, which will be used to simulate the farmer¿s behaviour when different policies are applied. The outputs (farm income, cropping patterns) from this model will serve as an input for the Bayesian network. | |
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Internacional
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Si |
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Nombre congreso
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congreso internacional CAIWA 2007 (International Conference on Adaptive & Integrated Water Management ¿ Coping with complexity and uncertainty) |
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Tipo de participación
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960 |
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Lugar del congreso
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Basilea (Suiza) |
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Revisores
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No |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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12/11/2007 |
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Fecha fin congreso
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15/11/2007 |
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Título de las actas
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