Hydrologic models for emergency decision support using Bayesian networks

Molina, Martin; Fuentetaja, Raquel y Garrote de Marcos, Luis (2005). Hydrologic models for emergency decision support using Bayesian networks. En: "European Conference ECSQARU 2005", July, 2005.

Descripción

Título: Hydrologic models for emergency decision support using Bayesian networks
Autor/es:
  • Molina, Martin
  • Fuentetaja, Raquel
  • Garrote de Marcos, Luis
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: European Conference ECSQARU 2005
Fechas del Evento: July, 2005
Título del Libro: Lecture Notes in Artificial Intelligence
Fecha: 2005
Volumen: 3571
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Ninguna

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Resumen

In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited number sensors) and partial knowledge about the structure and behavior of the river basin. This is a case of reasoning about a complex dynamic system with uncertainty and real-time constraints where bayesian networks can be used to provide an effective support. In this paper we describe a solution with spatio-temporal bayesian networks to be used in a context of emergencies produced by river floods. In the paper we describe first a set of types of causal relations for hydrologic processes with spatial and temporal references to represent the dynamics of the river basin. Then we describe how this was included in a computer system called SAIDA to provide assistance to operators in charge of control in a river basin. Finally the paper shows experimental results about the performance of the model.

Más información

ID de Registro: 14205
Identificador DC: http://oa.upm.es/14205/
Identificador OAI: oai:oa.upm.es:14205
Depositado por: Martin Molina
Depositado el: 20 Dic 2012 08:00
Ultima Modificación: 21 Abr 2016 13:44
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