Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Bayesian Networks as tools for participatory water resources management: An application to the Upper Guadiana Basin, Spain
Año:2010
Áreas de investigación
  • Agricultura
Datos
Descripción
This paper describes the application of Bayesian Networks (hereafter Bns) to the development of long term water management strategies in the Upper Guadiana basin. Bns are decision support systems that have long been used in other disciplines, such as medicine and artificial intelligence, and more recently in natural resources management (MERIT project: Bromley 2005). They are based on probability theory which implements Bayes¿ rule of probability. Bns organise the body of knowledge in a given area by mapping out cause¿effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another. Bns are based on the concept of conditional probability and have proved to be a powerful technique to model complex problems where there is uncertainty about the state of the system being modelled, and the data relating to that system.
Internacional
Si
JCR del ISI
Si
Título de la revista
ECOLOGY AND SOCIETY
ISSN
1708-3087
Factor de impacto JCR
1,735
Información de impacto
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
20
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Consuelo Varela Ortega (UPM)
  • Autor: P. Zorrilla
  • Autor: Gema Carmona García (UPM)
  • Autor: A. De La Hera
  • Autor: P. Martínez Santos
  • Autor: J. Bromley
  • Autor: H.J. Henriksen
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Economía Agraria y Gestión de los Recursos Naturales
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
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